| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0000677 |
| Description | A disease that has its basis in the disruption of mental process. [MONDO: patterns/basis_in_disruption_of_process] | Trait category |
Neurological disorder
|
| Synonyms |
22 synonyms
|
| Mapped terms |
22 mapped terms
|
| Child trait(s) |
24 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000025 (GRS) |
PGP000015 | Chouraki V et al. J Alzheimers Dis (2016) |
Alzheimer's disease | Alzheimer disease | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000025/ScoringFiles/PGS000025.txt.gz |
| PGS000026 (PHS) |
PGP000016 | Desikan RS et al. PLoS Med (2017) |
Alzheimer's disease | Alzheimer disease | 33 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000026/ScoringFiles/PGS000026.txt.gz | |
| PGS000053 (ALZ21_NIA-LOAD) |
PGP000039 | Tosto G et al. Neurology (2017) |
Alzheimer's disease (late onset) | late-onset Alzheimer's disease | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000053/ScoringFiles/PGS000053.txt.gz |
| PGS000054 (ALZ21_EFIGA) |
PGP000039 | Tosto G et al. Neurology (2017) |
Alzheimer's disease (late onset) | late-onset Alzheimer's disease | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000054/ScoringFiles/PGS000054.txt.gz |
| PGS000133 (SCZ_BVU) |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Schizophrenia | schizophrenia | 604,645 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000133/ScoringFiles/PGS000133.txt.gz |
| PGS000134 (SCZ_GHS) |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Schizophrenia | schizophrenia | 830,589 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000134/ScoringFiles/PGS000134.txt.gz |
| PGS000135 (SCZ_MTS) |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Schizophrenia | schizophrenia | 972,439 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000135/ScoringFiles/PGS000135.txt.gz |
| PGS000136 (SCZ_PBK) |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Schizophrenia | schizophrenia | 833,502 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000136/ScoringFiles/PGS000136.txt.gz |
| PGS000138 (LifetimeMDD) |
PGP000068 | Cai N et al. Nat Genet (2020) |
Lifetime Major Depressive Disorder | major depressive disorder | 22,274 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000138/ScoringFiles/PGS000138.txt.gz |
| PGS000139 (MDDRecur) |
PGP000068 | Cai N et al. Nat Genet (2020) |
Lifetime Major Depressive Disorder (with recurrence) | recurrent, major depressive disorder |
21,980 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000139/ScoringFiles/PGS000139.txt.gz |
| PGS000140 (GPpsy) |
PGP000068 | Cai N et al. Nat Genet (2020) |
Broad Depression (seen a General Practitioner for nerves, anxiety, tension or depression) | seeing a general practitioner for nerves, anxiety, tension or depression, self-reported, depressive disorder |
24,665 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000140/ScoringFiles/PGS000140.txt.gz |
| PGS000141 (Psypsy) |
PGP000068 | Cai N et al. Nat Genet (2020) |
Seen a psychiatrist for nerves, anxiety, tension or depression | seeing a psychiatrist for nerves, anxiety, tension or depression, self-reported, depressive disorder |
22,728 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000141/ScoringFiles/PGS000141.txt.gz |
| PGS000142 (DepAll) |
PGP000068 | Cai N et al. Nat Genet (2020) |
Probable Depression (low mood or anhedonia, and seen a GP or psychiatrist for nerves, anxiety, tension or depression) | seeing a general practitioner for nerves, anxiety, tension or depression, self-reported, seeing a psychiatrist for nerves, anxiety, tension or depression, self-reported, depressive disorder |
21,908 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000142/ScoringFiles/PGS000142.txt.gz |
| PGS000145 (ICD10Dep) |
PGP000068 | Cai N et al. Nat Genet (2020) |
Depression (ICD-10 defined) | major depressive disorder | 21,510 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000145/ScoringFiles/PGS000145.txt.gz |
| PGS000193 (MDD_0.001_Coleman_2020) |
PGS000080 | Coleman JRI et al. Mol Psychiatry (2020) |
Major depression | major depressive disorder | 1,138 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000193/ScoringFiles/PGS000193.txt.gz |
| PGS000327 (ASD2019) |
PGP000098 | Grove J et al. Nat Genet (2019) |
Autism spectrum disorder | autism spectrum disorder | 35,087 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000327/ScoringFiles/PGS000327.txt.gz | |
| PGS000334 (GRSfull_22) |
PGP000101 | Zhang Q et al. Nat Commun (2020) |
Late-onset Alzheimer’s disease | late-onset Alzheimer's disease | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000334/ScoringFiles/PGS000334.txt.gz |
| PGS000756 (GRS3_Nar) |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Narcolepsy | narcolepsy-cataplexy syndrome | 32 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000756/ScoringFiles/PGS000756.txt.gz |
| PGS000757 (GRS4_Nar) |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Narcolepsy | narcolepsy-cataplexy syndrome | 5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000757/ScoringFiles/PGS000757.txt.gz |
| PGS000767 (GRS14) |
PGP000174 | Guffanti G et al. Transl Psychiatry (2019) |
Depression | depressive symptom measurement, major depressive disorder |
14 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000767/ScoringFiles/PGS000767.txt.gz |
| PGS000779 (PGS7_AD) |
PGP000183 | Zhou X et al. Alzheimers Dement (Amst) (2020) |
Alzheimer's disease | Alzheimer disease | 7 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000779/ScoringFiles/PGS000779.txt.gz | |
| PGS000811 (AD-PRS_39) |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Alzheimer's disease | Alzheimer disease | 39 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000811/ScoringFiles/PGS000811.txt.gz |
| PGS000812 (AD-PRS_57) |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Alzheimer's disease | Alzheimer disease | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000812/ScoringFiles/PGS000812.txt.gz |
| PGS000823 (GRS23_AD) |
PGP000207 | van der Lee SJ et al. Lancet Neurol (2018) |
Alzheimer's disease | Alzheimer disease | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000823/ScoringFiles/PGS000823.txt.gz |
| PGS000876 (PRS31_AD) |
PGP000222 | Leonenko G et al. Ann Clin Transl Neurol (2019) |
Alzheimer's disease | Alzheimer disease | 31 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000876/ScoringFiles/PGS000876.txt.gz |
| PGS000898 (PRS39_AD) |
PGP000231 | de Rojas I et al. Nat Commun (2021) |
Alzheimer's disease | Alzheimer disease | 40 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000898/ScoringFiles/PGS000898.txt.gz | |
| PGS000907 (PRS_MDD) |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Major depressive disorder | major depressive disorder | 1,773,528 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000907/ScoringFiles/PGS000907.txt.gz |
| PGS000908 (PRS_Insomnia) |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Insomnia | insomnia | 2,746,982 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000908/ScoringFiles/PGS000908.txt.gz |
| PGS000926 (GBE_QT_FC1001220) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Daytime dozing / sleeping (narcolepsy) | narcolepsy | 4,194 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000926/ScoringFiles/PGS000926.txt.gz |
| PGS000929 (GBE_HC1583) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
All-cause dementia (algorithmically-defined) | dementia | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000929/ScoringFiles/PGS000929.txt.gz |
| PGS000945 (GBE_HC710) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Dementia in Alzheimer's disease (time-to-event) | dementia, Alzheimer disease |
26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000945/ScoringFiles/PGS000945.txt.gz |
| PGS000946 (GBE_HC713) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Unspecified dementia (time-to-event) | dementia | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000946/ScoringFiles/PGS000946.txt.gz |
| PGS001179 (GBE_HC711) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Vascular dementia (time-to-event) | vascular dementia | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001179/ScoringFiles/PGS001179.txt.gz |
| PGS001348 (GBE_HC1584) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Alzheimer's disease (algorithmically-defined) | Alzheimer disease | 15 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001348/ScoringFiles/PGS001348.txt.gz |
| PGS001349 (GBE_HC807) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Alzheimer's disease (time-to-event) | Alzheimer disease | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001349/ScoringFiles/PGS001349.txt.gz |
| PGS001775 (PRS39_AD) |
PGP000255 | Ebenau JL et al. Alzheimers Dement (Amst) (2021) |
Alzheimer's disease | Alzheimer disease | 39 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001775/ScoringFiles/PGS001775.txt.gz |
| PGS001827 (portability-PLR_290.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Dementia | dementia | 33 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001827/ScoringFiles/PGS001827.txt.gz |
| PGS001828 (portability-PLR_290.11) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Alzheimer's disease | Alzheimer disease | 38 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001828/ScoringFiles/PGS001828.txt.gz |
| PGS001829 (portability-PLR_296.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Depression | depressive disorder | 7,534 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001829/ScoringFiles/PGS001829.txt.gz |
| PGS001830 (portability-PLR_318) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Tobacco use disorder | nicotine dependence | 13,838 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001830/ScoringFiles/PGS001830.txt.gz |
| PGS001932 (portability-PLR_insomnia) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Sleeplessness / insomnia | insomnia | 37,712 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001932/ScoringFiles/PGS001932.txt.gz |
| PGS001995 (portability-PLR_narcolepsy) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Daytime dozing / sleeping (narcolepsy) | narcolepsy | 27,143 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001995/ScoringFiles/PGS001995.txt.gz |
| PGS002035 (portability-ldpred2_290.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Dementia | dementia | 39,752 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002035/ScoringFiles/PGS002035.txt.gz |
| PGS002036 (portability-ldpred2_296.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Depression | depressive disorder | 807,338 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002036/ScoringFiles/PGS002036.txt.gz |
| PGS002037 (portability-ldpred2_318) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Tobacco use disorder | nicotine dependence | 847,691 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002037/ScoringFiles/PGS002037.txt.gz |
| PGS002098 (portability-ldpred2_abnormal_appetite) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Recent poor appetite or overeating | eating disorder | 764,146 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002098/ScoringFiles/PGS002098.txt.gz |
| PGS002144 (portability-ldpred2_hard_falling_asleep) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Trouble falling asleep | Sleep Disorder | 539,784 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002144/ScoringFiles/PGS002144.txt.gz |
| PGS002149 (portability-ldpred2_insomnia) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Sleeplessness / insomnia | insomnia | 926,585 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002149/ScoringFiles/PGS002149.txt.gz |
| PGS002212 (portability-ldpred2_narcolepsy) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Daytime dozing / sleeping (narcolepsy) | narcolepsy | 893,802 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002212/ScoringFiles/PGS002212.txt.gz |
| PGS002249 (AD_PRS_0.5) |
PGP000276 | Lourida I et al. JAMA (2019) |
Alzheimer's disease | Alzheimer disease | 249,273 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002249/ScoringFiles/PGS002249.txt.gz |
| PGS002280 (GRS83_AD) |
PGP000309 | Bellenguez C et al. Nat Genet (2022) |
Alzheimer's disease | Alzheimer disease | 83 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002280/ScoringFiles/PGS002280.txt.gz |
| PGS002289 (GRS23_AD) |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Late-onset Alzheimer's disease | late-onset Alzheimer's disease | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002289/ScoringFiles/PGS002289.txt.gz |
| PGS002731 (oA-PRS) |
PGP000339 | Xicota L et al. Neurology (2022) |
Alzheimer's disease | Alzheimer disease | 17 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002731/ScoringFiles/PGS002731.txt.gz | |
| PGS002738 (PRS_AUD) |
PGP000345 | Lai D et al. Alcohol Clin Exp Res (2022) |
Alcohol use disorder | alcohol dependence | 326,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002738/ScoringFiles/PGS002738.txt.gz |
| PGS002739 (PRS_gene) |
PGP000346 | Lai D et al. Transl Psychiatry (2022) |
Alcohol use disorder | alcohol dependence | 858 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002739/ScoringFiles/PGS002739.txt.gz |
| PGS002746 (PRS_ADHD) |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Attention-deficit hyperactivity disorder | attention deficit hyperactivity disorder | 513,659 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002746/ScoringFiles/PGS002746.txt.gz |
| PGS002753 (Alzheimer_s_disease_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Alzheimer's disease | Alzheimer disease | 1,092,011 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002753/ScoringFiles/PGS002753.txt.gz |
| PGS002759 (Depression_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Depression | major depressive disorder | 1,091,613 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002759/ScoringFiles/PGS002759.txt.gz |
| PGS002785 (SCZ_SDPR) |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Schizophrenia | schizophrenia | 964,422 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002785/ScoringFiles/PGS002785.txt.gz |
| PGS002786 (BD_SDPR) |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Bipolar disorder | bipolar disorder | 948,996 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002786/ScoringFiles/PGS002786.txt.gz |
| PGS002787 (BD1_SDPR) |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Type 1 bipolar disorder | bipolar I disorder | 937,511 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002787/ScoringFiles/PGS002787.txt.gz |
| PGS002788 (BD2_SDPR) |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Type 2 bipolar disorder | bipolar II disorder | 935,292 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002788/ScoringFiles/PGS002788.txt.gz |
| PGS002789 (MDD_SDPR) |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Major depressive disorder | major depressive disorder | 943,784 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002789/ScoringFiles/PGS002789.txt.gz |
| PGS002790 (ASD_SDPR) |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Autism spectrum disorder | autism spectrum disorder | 916,713 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002790/ScoringFiles/PGS002790.txt.gz |
| PGS003204 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 4,360 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003204/ScoringFiles/PGS003204.txt.gz | |
| PGS003205 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 5,300 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003205/ScoringFiles/PGS003205.txt.gz | |
| PGS003206 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 9,873 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003206/ScoringFiles/PGS003206.txt.gz | |
| PGS003207 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 355 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003207/ScoringFiles/PGS003207.txt.gz | |
| PGS003208 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 12,076 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003208/ScoringFiles/PGS003208.txt.gz | |
| PGS003209 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 328,671 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003209/ScoringFiles/PGS003209.txt.gz | |
| PGS003210 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 40,992 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003210/ScoringFiles/PGS003210.txt.gz | |
| PGS003211 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 39,223 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003211/ScoringFiles/PGS003211.txt.gz | |
| PGS003212 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 7,601,206 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003212/ScoringFiles/PGS003212.txt.gz | |
| PGS003213 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 1,111,194 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003213/ScoringFiles/PGS003213.txt.gz | |
| PGS003214 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 5,812 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003214/ScoringFiles/PGS003214.txt.gz | |
| PGS003215 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 1,209 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003215/ScoringFiles/PGS003215.txt.gz | |
| PGS003216 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 688 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003216/ScoringFiles/PGS003216.txt.gz | |
| PGS003217 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 46 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003217/ScoringFiles/PGS003217.txt.gz | |
| PGS003218 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 12,097 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003218/ScoringFiles/PGS003218.txt.gz | |
| PGS003319 (ExPRSweb_Insomnia_1160_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 578,551 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003319/ScoringFiles/PGS003319.txt.gz | |
| PGS003320 (ExPRSweb_Insomnia_1160_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 147 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003320/ScoringFiles/PGS003320.txt.gz | |
| PGS003321 (ExPRSweb_Insomnia_1160_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 148 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003321/ScoringFiles/PGS003321.txt.gz | |
| PGS003322 (ExPRSweb_Insomnia_1160_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 8,590,163 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003322/ScoringFiles/PGS003322.txt.gz | |
| PGS003323 (ExPRSweb_Insomnia_1160_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003323/ScoringFiles/PGS003323.txt.gz | |
| PGS003324 (ExPRSweb_Insomnia_1200_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 464,576 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003324/ScoringFiles/PGS003324.txt.gz | |
| PGS003325 (ExPRSweb_Insomnia_1200_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 28,289 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003325/ScoringFiles/PGS003325.txt.gz | |
| PGS003326 (ExPRSweb_Insomnia_1200_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 27,462 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003326/ScoringFiles/PGS003326.txt.gz | |
| PGS003327 (ExPRSweb_Insomnia_1200_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 6,214,923 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003327/ScoringFiles/PGS003327.txt.gz | |
| PGS003328 (ExPRSweb_Insomnia_1200_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Insomnia | insomnia | 1,065,129 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003328/ScoringFiles/PGS003328.txt.gz | |
| PGS003333 (MDD-PRS) |
PGP000399 | Fang Y et al. Biol Psychiatry (2022) |
Major Depressive Disorder | major depressive disorder | 1,088,415 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003333/ScoringFiles/PGS003333.txt.gz |
| PGS003334 (PRS_dementia) |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Dementia | dementia | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003334/ScoringFiles/PGS003334.txt.gz |
| PGS003414 (PRS47_RBD) |
PGP000427 | Krohn L et al. Nat Commun (2022) |
REM sleep behavior disorder | REM sleep behavior disorder | 47 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003414/ScoringFiles/PGS003414.txt.gz |
| PGS003440 (GRS11_nonapoeAD) |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Alzheimer's disease in non APOE | APOE carrier status, Alzheimer disease |
11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003440/ScoringFiles/PGS003440.txt.gz |
| PGS003441 (GRS28_AD) |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Alzheimer's disease | Alzheimer disease | 28 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003441/ScoringFiles/PGS003441.txt.gz |
| PGS003442 (GRS8_MD) |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Major depressive disorder | major depressive disorder | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003442/ScoringFiles/PGS003442.txt.gz |
| PGS003479 (LDPred2_SleepApnea) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Obstructive sleep apnea | obstructive sleep apnea | 836,839 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003479/ScoringFiles/PGS003479.txt.gz |
| PGS003574 (GRS_Dementia21) |
PGP000459 | Mukadam N et al. PLoS One (2022) |
Alzheimer's disease (late onset) | Alzheimer disease | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003574/ScoringFiles/PGS003574.txt.gz |
| PGS003576 (AutoImpAll.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 5,776,312 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003576/ScoringFiles/PGS003576.txt.gz | |
| PGS003577 (AutoImpOnly.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 5,776,312 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003577/ScoringFiles/PGS003577.txt.gz | |
| PGS003578 (MTAG.All.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 4,786,322 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003578/ScoringFiles/PGS003578.txt.gz | |
| PGS003579 (MTAG.AllDep.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 4,786,322 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003579/ScoringFiles/PGS003579.txt.gz | |
| PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 4,786,322 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003580/ScoringFiles/PGS003580.txt.gz | |
| PGS003581 (MTAG.Envs.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 4,861,398 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003581/ScoringFiles/PGS003581.txt.gz | |
| PGS003582 (MTAG.FamHist.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 4,861,398 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003582/ScoringFiles/PGS003582.txt.gz | |
| PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 4,861,398 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003583/ScoringFiles/PGS003583.txt.gz | |
| PGS003584 (SoftImpAll.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 5,776,312 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003584/ScoringFiles/PGS003584.txt.gz | |
| PGS003585 (SoftImpOnly.LifetimeMDD) |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Major Depressive Disorder (Lifetime) | major depressive disorder | 5,776,312 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003585/ScoringFiles/PGS003585.txt.gz | |
| PGS003753 (PRS35445_ADHD) |
PGP000473 | Sato JR et al. Genes Brain Behav (2023) |
Attention deficit hyperactivity disorder | attention deficit hyperactivity disorder | 35,445 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003753/ScoringFiles/PGS003753.txt.gz |
| PGS003857 (GRS18_BMIunadj) |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Obstructive sleep apnea | obstructive sleep apnea | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003857/ScoringFiles/PGS003857.txt.gz |
| PGS003858 (GRS6_BMIadj) |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Obstructive sleep apnea (BMI adjusted) | obstructive sleep apnea | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003858/ScoringFiles/PGS003858.txt.gz |
| PGS003953 (AD_Bellenguez) |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 1,937 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003953/ScoringFiles/PGS003953.txt.gz |
| PGS003954 (AD_FINNGEN) |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 81 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003954/ScoringFiles/PGS003954.txt.gz |
| PGS003955 (AD_Jun) |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 85 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003955/ScoringFiles/PGS003955.txt.gz |
| PGS003956 (AD_Kunkle_AFR) |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 157 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003956/ScoringFiles/PGS003956.txt.gz |
| PGS003957 (AD_Kunkle) |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 12,002 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003957/ScoringFiles/PGS003957.txt.gz |
| PGS003958 (AD_Unweighted_PRSsum) |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 14,109 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003958/ScoringFiles/PGS003958.txt.gz |
| PGS003992 (dbslmm.auto.GCST90012877.AD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Alzheimer's disease | Alzheimer disease | 1,136,212 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003992/ScoringFiles/PGS003992.txt.gz |
| PGS004008 (lassosum.auto.GCST90012877.AD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Alzheimer's disease | Alzheimer disease | 5,663 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004008/ScoringFiles/PGS004008.txt.gz |
| PGS004034 (ldpred2.auto.GCST90012877.AD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Alzheimer's disease | Alzheimer disease | 1,046,908 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004034/ScoringFiles/PGS004034.txt.gz |
| PGS004062 (megaprs.auto.GCST90012877.AD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Alzheimer's disease | Alzheimer disease | 691,136 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004062/ScoringFiles/PGS004062.txt.gz |
| PGS004092 (prscs.auto.GCST90012877.AD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Alzheimer's disease | Alzheimer disease | 1,109,233 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004092/ScoringFiles/PGS004092.txt.gz |
| PGS004116 (pt_clump.auto.GCST90012877.AD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Alzheimer's disease | Alzheimer disease | 58 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004116/ScoringFiles/PGS004116.txt.gz |
| PGS004146 (sbayesr.auto.GCST90012877.AD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Alzheimer's disease | Alzheimer disease | 915,771 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004146/ScoringFiles/PGS004146.txt.gz |
| PGS004227 (ad_apoe_gw_pgs) |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 15 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004227/ScoringFiles/PGS004227.txt.gz |
| PGS004228 (ad_apoe_0.1_pgs) |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 8,863 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004228/ScoringFiles/PGS004228.txt.gz |
| PGS004229 (ad_noapoe_0.1_pgs) |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Alzheimer's disease | Alzheimer disease | 8,858 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004229/ScoringFiles/PGS004229.txt.gz |
| PGS004280 (GenoBoost_all-cause_dementia_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
All-cause dementia | dementia | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004280/ScoringFiles/PGS004280.txt.gz |
| PGS004281 (GenoBoost_all-cause_dementia_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
All-cause dementia | dementia | 110 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004281/ScoringFiles/PGS004281.txt.gz |
| PGS004282 (GenoBoost_all-cause_dementia_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
All-cause dementia | dementia | 40 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004282/ScoringFiles/PGS004282.txt.gz |
| PGS004283 (GenoBoost_all-cause_dementia_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
All-cause dementia | dementia | 90 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004283/ScoringFiles/PGS004283.txt.gz |
| PGS004284 (GenoBoost_all-cause_dementia_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
All-cause dementia | dementia | 50 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004284/ScoringFiles/PGS004284.txt.gz |
| PGS004285 (GenoBoost_alzheimer_s_disease_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Alzheimer's disease | Alzheimer disease | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004285/ScoringFiles/PGS004285.txt.gz |
| PGS004286 (GenoBoost_alzheimer_s_disease_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Alzheimer's disease | Alzheimer disease | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004286/ScoringFiles/PGS004286.txt.gz |
| PGS004287 (GenoBoost_alzheimer_s_disease_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Alzheimer's disease | Alzheimer disease | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004287/ScoringFiles/PGS004287.txt.gz |
| PGS004288 (GenoBoost_alzheimer_s_disease_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Alzheimer's disease | Alzheimer disease | 200 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004288/ScoringFiles/PGS004288.txt.gz |
| PGS004289 (GenoBoost_alzheimer_s_disease_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Alzheimer's disease | Alzheimer disease | 40 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004289/ScoringFiles/PGS004289.txt.gz |
| PGS004318 (PRS29_dementia) |
PGP000548 | Feng J et al. BMC Geriatr (2023) |
Dementia | dementia | 29 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004318/ScoringFiles/PGS004318.txt.gz |
| PGS004449 (disease.F10.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
F10 (Mental and behavioural disorders due to use of alcohol) | alcohol-induced mental disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004449/ScoringFiles/PGS004449.txt.gz |
| PGS004450 (disease.F17.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
F17 (Mental and behavioural disorders due to use of tobacco) | mental or behavioural disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004450/ScoringFiles/PGS004450.txt.gz |
| PGS004451 (disease.F41.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
F41 (Other anxiety disorders) | anxiety disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004451/ScoringFiles/PGS004451.txt.gz |
| PGS004452 (disease.G47.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
G47 (Sleep disorders) | Sleep Disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004452/ScoringFiles/PGS004452.txt.gz |
| PGS004519 (meta.F10.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
F10 (Mental and behavioural disorders due to use of alcohol) | alcohol-induced mental disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004519/ScoringFiles/PGS004519.txt.gz |
| PGS004520 (meta.F17.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
F17 (Mental and behavioural disorders due to use of tobacco) | mental or behavioural disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004520/ScoringFiles/PGS004520.txt.gz |
| PGS004521 (meta.F41.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
F41 (Other anxiety disorders) | anxiety disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004521/ScoringFiles/PGS004521.txt.gz |
| PGS004522 (meta.G47.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
G47 (Sleep disorders) | Sleep Disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004522/ScoringFiles/PGS004522.txt.gz |
| PGS004588 (PRS39_Eur) |
PGP000567 | Jung SH et al. JAMA Netw Open (2022) |
Alzheimer's disease | Alzheimer disease | 39 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004588/ScoringFiles/PGS004588.txt.gz | |
| PGS004589 (PRS80_trans) |
PGP000567 | Jung SH et al. JAMA Netw Open (2022) |
Alzheimer's disease | Alzheimer disease | 80 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004589/ScoringFiles/PGS004589.txt.gz | |
| PGS004590 (PRS363_rand_eff) |
PGP000569 | Lake J et al. Mol Psychiatry (2023) |
Alzheimer's disease | Alzheimer disease | 363 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004590/ScoringFiles/PGS004590.txt.gz |
| PGS004591 (PRS17_MDD) |
PGP000570 | Li D et al. BMC Med (2023) |
Major depressive disorder | major depressive disorder | 17 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004591/ScoringFiles/PGS004591.txt.gz |
| PGS004600 (PRS_AD83) |
PGP000578 | Tomassen J et al. BMC Neurol (2022) |
Alzheimer's disease | Alzheimer disease | 83 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004600/ScoringFiles/PGS004600.txt.gz |
| PGS004759 (depression_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Depression | major depressive disorder | 1,538,576 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004759/ScoringFiles/PGS004759.txt.gz |
| PGS004760 (depression_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Depression | major depressive disorder | 2,141,267 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004760/ScoringFiles/PGS004760.txt.gz |
| PGS004863 (PRS74_AD) |
PGP000609 | Sleiman PM et al. Alzheimers Dement (2023) |
Alzheimer's disease | Alzheimer disease | 74 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004863/ScoringFiles/PGS004863.txt.gz |
| PGS004885 (INTERVENE_MegaPRS_MDD) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Major depressive disorder | major depressive disorder | 801,544 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004885/ScoringFiles/PGS004885.txt.gz | |
| PGS004898 (PRS_AD) |
PGP000624 | Vasiljevic E et al. Alzheimers Dement (2023) |
Alzheimer's disease | Alzheimer disease | 44 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004898/ScoringFiles/PGS004898.txt.gz |
| PGS004918 (PRS8_Synapse) |
PGP000649 | Lawingco T et al. Neurobiol Aging (2020) |
Late-onset Alzheimers disease (based on SNPs in genes involved in synaptic function) | late-onset Alzheimer's disease | 8 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004918/ScoringFiles/PGS004918.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000051 | PGS000025 (GRS) |
PSS000034| European Ancestry| 4,353 individuals |
PGP000015 | Chouraki V et al. J Alzheimers Dis (2016) |
Reported Trait: Incident Alzheimer's disease in APOE Ɛ4 carriers | HR: 1.24 [1.15, 1.34] | — | ΔC-index between models with and without GRS: 0.0112 [0.0015, 0.0208] | age at baseline, sex, education level | HRs are derived from a meta-analysis of studies (adjusted for study center, and participant relatedness) |
| PPM000052 | PGS000025 (GRS) |
PSS000035| European Ancestry| 15,334 individuals |
PGP000015 | Chouraki V et al. J Alzheimers Dis (2016) |
Reported Trait: Incident Alzheimer's disease in APOE Ɛ4 non-carriers | HR: 1.13 [1.08, 1.18] | — | ΔC-index between models with and without GRS: 0.0018 [-0.0003, 0.0039] | age at baseline, sex, education level | HRs are derived from a meta-analysis of studies (adjusted for study center, and participant relatedness) |
| PPM000050 | PGS000025 (GRS) |
PSS000033| European Ancestry| 19,687 individuals |
PGP000015 | Chouraki V et al. J Alzheimers Dis (2016) |
Reported Trait: Incident Alzheimer's disease | HR: 1.17 [1.13, 1.21] | — | ΔC-index between models with and without GRS: 0.0043 [0.0019, 0.0067] | age at baseline, sex, education level, APOE Ɛ4 status | HRs are derived from a meta-analysis of studies (adjusted for study center, and participant relatedness) |
| PPM000053 | PGS000026 (PHS) |
PSS000036| European Ancestry| 17,956 individuals |
PGP000016 | Desikan RS et al. PLoS Med (2017) |
Reported Trait: Alzheimer disease | — | — | r (correlation between between binned quantiles of PHS-predicted and empirical age of AD onset): 0.9 | APOE risk alleles (e2 and e4), age, sex, genetic PCs 1-5 | — |
| PPM002504 | PGS000026 (PHS) |
PSS001127| European Ancestry| 8,415 individuals |
PGP000222 | Leonenko G et al. Ann Clin Transl Neurol (2019) |Ext. |
Reported Trait: Age at Alzheimer's disease onset | β: 0.11 (0.02) | — | — | Gender, PCs (1-3), APOE(ε2 + ε4) | Due to SNP availability issues in the dataset, only 25 out of the 31 variants in Desikan et al's polygenic hazard score (PGS000026) were used. No APOE alleles were included |
| PPM014811 | PGS000026 (PHS) |
PSS009898| Ancestry Not Reported| 780 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in neocortical region | β: 19.98 [14.3, 25.7] | — | — | — | — |
| PPM014812 | PGS000026 (PHS) |
PSS009898| Ancestry Not Reported| 780 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in posterior cingulate region | β: 25.54 [18.4, 32.6] | — | — | — | — |
| PPM014814 | PGS000026 (PHS) |
PSS009900| Ancestry Not Reported| 278 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in neocortical region (in APOE E4 carriers) | β: 25.28 [17.4, 33.2] | — | — | — | — |
| PPM014815 | PGS000026 (PHS) |
PSS009900| Ancestry Not Reported| 278 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in posterior cingulate region (in APOE E4 carriers) | β: 33.06 [23.3, 42.8] | — | — | — | — |
| PPM014816 | PGS000026 (PHS) |
PSS009900| Ancestry Not Reported| 278 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in frontal cortex region (in APOE E4 carriers) | β: 26.63 [18.0, 35.3] | — | — | — | — |
| PPM014817 | PGS000026 (PHS) |
PSS009899| Ancestry Not Reported| 502 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in neocortical region (in APOE E4 non-carriers) | β: 12.61 [3.9, 21.3] | — | — | — | — |
| PPM014818 | PGS000026 (PHS) |
PSS009899| Ancestry Not Reported| 502 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in posterior cingulate region (in APOE E4 non-carriers) | β: 14.28 [3.42, 25.1] | — | — | — | — |
| PPM014819 | PGS000026 (PHS) |
PSS009899| Ancestry Not Reported| 502 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in frontal cortex region (in APOE E4 non-carriers) | β: 13.62 [4.24, 23.0] | — | — | — | — |
| PPM014813 | PGS000026 (PHS) |
PSS009898| Ancestry Not Reported| 780 individuals |
PGP000340 | Vacher M et al. BMC Genomics (2022) |Ext. |
Reported Trait: Aβ-amyloid deposition in frontal cortex region | β: 21.19 [15.0, 27.4] | — | — | — | — |
| PPM000137 | PGS000053 (ALZ21_NIA-LOAD) |
PSS000085| European Ancestry| 4,792 individuals |
PGP000039 | Tosto G et al. Neurology (2017) |
Reported Trait: Alzheimer's disease (age-at-onset) | β: -0.7 (0.15) years | — | — | — | — |
| PPM000133 | PGS000053 (ALZ21_NIA-LOAD) |
PSS000085| European Ancestry| 4,792 individuals |
PGP000039 | Tosto G et al. Neurology (2017) |
Reported Trait: Familial late-onset Alzheimer's disease (LOAD) | OR: 1.29 [1.21, 1.37] | — | — | Age, sex | — |
| PPM000134 | PGS000053 (ALZ21_NIA-LOAD) |
PSS000085| European Ancestry| 4,792 individuals |
PGP000039 | Tosto G et al. Neurology (2017) |
Reported Trait: Familial late-onset Alzheimer's disease (LOAD) | OR: 1.29 [1.21, 1.38] | — | — | Age, sex, APOE e4 | — |
| PPM000138 | PGS000054 (ALZ21_EFIGA) |
PSS000084| Hispanic or Latin American Ancestry| 3,324 individuals |
PGP000039 | Tosto G et al. Neurology (2017) |
Reported Trait: Alzheimer's disease (age-at-onset) | β: -0.86 (0.15) years | — | — | — | — |
| PPM000135 | PGS000054 (ALZ21_EFIGA) |
PSS000084| Hispanic or Latin American Ancestry| 3,324 individuals |
PGP000039 | Tosto G et al. Neurology (2017) |
Reported Trait: Familial late-onset Alzheimer's disease (LOAD) | OR: 1.73 [1.57, 1.93] | — | — | Age, sex | — |
| PPM000136 | PGS000054 (ALZ21_EFIGA) |
PSS000084| Hispanic or Latin American Ancestry| 3,324 individuals |
PGP000039 | Tosto G et al. Neurology (2017) |
Reported Trait: Familial late-onset Alzheimer's disease (LOAD) | OR: 1.71 [1.55, 1.9] | — | — | Age, sex, APOE e4 | — |
| PPM000417 | PGS000133 (SCZ_BVU) |
PSS000238| European Ancestry| 33,694 individuals |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Reported Trait: Psychosis | OR: 1.3755 | — | — | age, sex, 10 PCs of ancestry, genotyping platform, genotyping batch | *SNP weights were adjusted for use in this cohort |
| PPM000413 | PGS000133 (SCZ_BVU) |
PSS000237| European Ancestry| 33,694 individuals |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Reported Trait: Schizophrenia | OR: 1.691 | AUROC: 0.6 [0.55, 0.66] | — | age, sex, 10 PCs of ancestry, genotyping platform, genotyping batch | *SNP weights were adjusted for use in this cohort |
| PPM000418 | PGS000134 (SCZ_GHS) |
PSS000240| European Ancestry| 44,436 individuals |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Reported Trait: Psychosis | OR: 1.2224 | — | — | age, sex, 10 PCs of ancestry, genotyping platform, genotyping batch | *SNP weights were adjusted for use in this cohort |
| PPM000414 | PGS000134 (SCZ_GHS) |
PSS000239| European Ancestry| 44,436 individuals |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Reported Trait: Schizophrenia | OR: 1.483 | AUROC: 0.6 [0.56, 0.64] | — | age, sex, 10 PCs of ancestry, genotyping platform, genotyping batch | *SNP weights were adjusted for use in this cohort |
| PPM000415 | PGS000135 (SCZ_MTS) |
PSS000241| European Ancestry| 9,569 individuals |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Reported Trait: Schizophrenia | — | AUROC: 0.74 [0.67, 0.81] | — | age, sex, 10 PCs of ancestry, genotyping platform, genotyping batch | *SNP weights were adjusted for use in this cohort |
| PPM000420 | PGS000136 (SCZ_PBK) |
PSS000244| European Ancestry| 18,461 individuals |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Reported Trait: Psychosis | OR: 1.4768 | — | — | age, sex, 10 PCs of ancestry, genotyping platform, genotyping batch | *SNP weights were adjusted for use in this cohort |
| PPM000416 | PGS000136 (SCZ_PBK) |
PSS000243| European Ancestry| 18,461 individuals |
PGP000065 | Zheutlin AB et al. Am J Psychiatry (2019) |
Reported Trait: Schizophrenia | OR: 1.7 | AUROC: 0.64 [0.6, 0.69] | — | age, sex, 10 PCs of ancestry, genotyping platform, genotyping batch | *SNP weights were adjusted for use in this cohort |
| PPM000430 | PGS000138 (LifetimeMDD) |
PSS000250| European Ancestry| 36,709 individuals |
PGP000068 | Cai N et al. Nat Genet (2020) |
Reported Trait: Major Depressive Disorder status | — | AUROC: 0.5611 | R²: 0.01817 | Cohort | — |
| PPM000431 | PGS000139 (MDDRecur) |
PSS000250| European Ancestry| 36,709 individuals |
PGP000068 | Cai N et al. Nat Genet (2020) |
Reported Trait: Major Depressive Disorder status | — | AUROC: 0.54874 | R²: 0.01097 | Cohort | — |
| PPM000432 | PGS000140 (GPpsy) |
PSS000250| European Ancestry| 36,709 individuals |
PGP000068 | Cai N et al. Nat Genet (2020) |
Reported Trait: Major Depressive Disorder status | — | AUROC: 0.53193 | R²: 0.00481 | Cohort | — |
| PPM000433 | PGS000141 (Psypsy) |
PSS000250| European Ancestry| 36,709 individuals |
PGP000068 | Cai N et al. Nat Genet (2020) |
Reported Trait: Major Depressive Disorder status | — | AUROC: 0.52988 | R²: 0.00438 | Cohort | — |
| PPM000434 | PGS000142 (DepAll) |
PSS000250| European Ancestry| 36,709 individuals |
PGP000068 | Cai N et al. Nat Genet (2020) |
Reported Trait: Major Depressive Disorder status | — | AUROC: 0.5333 | R²: 0.00492 | Cohort | — |
| PPM000437 | PGS000145 (ICD10Dep) |
PSS000250| European Ancestry| 36,709 individuals |
PGP000068 | Cai N et al. Nat Genet (2020) |
Reported Trait: Major Depressive Disorder status | — | AUROC: 0.5251 | R²: 0.0032 | Cohort | — |
| PPM000564 | PGS000193 (MDD_0.001_Coleman_2020) |
PSS000294| European Ancestry| 92,957 individuals |
PGS000080 | Coleman JRI et al. Mol Psychiatry (2020) |
Reported Trait: Major depressive disorder | OR: 1.179 | — | R²: 0.01485 Nagelkerke pseudo-R2 (increase when adding PRS to null model of covariates): 0.00785 |
batch, centre, genomic prinicipal components (x6) | — |
| PPM000879 | PGS000327 (ASD2019) |
PSS000435| European Ancestry| 7,148 individuals |
PGP000098 | Grove J et al. Nat Genet (2019) |
Reported Trait: Autism spectrum disorder | OR: 1.33 [1.3, 1.36] | — | R²: 0.0245 | Genetic PCs, genotyping wave | *Pooled cross-validation performance on 1/5th of iPSYCH sample. PRS is based on full iPSYCH+PGC GWAS |
| PPM000901 | PGS000334 (GRSfull_22) |
PSS000449| European Ancestry| 3,810 individuals |
PGP000101 | Zhang Q et al. Nat Commun (2020) |
Reported Trait: Late-onset Alzheimer’s disease | — | — | R²: 0.191 [0.131, 0.269] | — | R2 = variance explained on the liability scale |
| PPM001925 | PGS000756 (GRS3_Nar) |
PSS000966| East Asian Ancestry| 2,884 individuals |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Reported Trait: Incident narcolepsy | OR: 1.149 [1.119, 1.181] | — | Odds Ratio (OR, high vs low risk): 2.586 [2.109, 3.173] | — | Individuals with a high polygenic risk had a score ≥28. Individuals with a low polygenic risk had a score <25. |
| PPM001926 | PGS000756 (GRS3_Nar) |
PSS000966| East Asian Ancestry| 2,884 individuals |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Reported Trait: Incident narcolepsy | OR: 1.152 [1.12, 1.185] | AUROC: 0.723 | Odds Ratio (OR, high vs low risk): 2.602 [2.097, 3.232] | Gender | Individuals with a high polygenic risk had a score ≥28. Individuals with a low polygenic risk had a score <25. |
| PPM001927 | PGS000757 (GRS4_Nar) |
PSS000966| East Asian Ancestry| 2,884 individuals |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Reported Trait: Incident narcolepsy | OR: 1.449 [1.367, 1.536] | — | Odds Ratio (OR, high vs low risk): 4.298 [3.378, 5.481] | — | Individuals with a high polygenic risk had a score ≥8. Individuals with a low polygenic risk had a score <6. |
| PPM001928 | PGS000757 (GRS4_Nar) |
PSS000966| East Asian Ancestry| 2,884 individuals |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Reported Trait: Incident narcolepsy | OR: 1.442 [1.357, 1.534] | AUROC: 0.736 | Odds Ratio (OR, high vs low risk): 4.157 [3.224, 5.371] | Gender | Individuals with a high polygenic risk had a score ≥8. Individuals with a low polygenic risk had a score <6. |
| PPM001972 | PGS000767 (GRS14) |
PSS000984| Multi-ancestry (including European)| 62 individuals |
PGP000174 | Guffanti G et al. Transl Psychiatry (2019) |
Reported Trait: Bilateral Nucleus acumbens stress induced reward prediciton error change | — | — | R²: 0.065 | PCs(1-2) | — |
| PPM001973 | PGS000767 (GRS14) |
PSS000985| Multi-ancestry (including European)| 63 individuals |
PGP000174 | Guffanti G et al. Transl Psychiatry (2019) |
Reported Trait: Bilateral putamen stress induced reward prediciton error change | — | — | R²: 0.074 | PCs(1-2) | — |
| PPM001974 | PGS000767 (GRS14) |
PSS000986| Multi-ancestry (including European)| 73 individuals |
PGP000174 | Guffanti G et al. Transl Psychiatry (2019) |
Reported Trait: Bilateral nucleus acumbens volume | — | — | R²: 0.064 | PCs(1-2) | — |
| PPM001975 | PGS000767 (GRS14) |
PSS000986| Multi-ancestry (including European)| 73 individuals |
PGP000174 | Guffanti G et al. Transl Psychiatry (2019) |
Reported Trait: Bilateral putamen volume | — | — | R²: 0.095 | PCs(1-2) | — |
| PPM002022 | PGS000779 (PGS7_AD) |
PSS001005| East Asian Ancestry| 112 individuals |
PGP000183 | Zhou X et al. Alzheimers Dement (Amst) (2020) |
Reported Trait: Alzheimer's disease | — | AUROC: 0.612 | Beta (β, top 33.3% vs bottom 33.3%): 1.485 (0.602) | Age, sex | — |
| PPM002023 | PGS000779 (PGS7_AD) |
PSS001006| European Ancestry| 2,696 individuals |
PGP000183 | Zhou X et al. Alzheimers Dement (Amst) (2020) |
Reported Trait: Alzheimer's disease | — | AUROC: 0.717 | Beta (β, top 33.3% vs bottom 33.3%): 2.283 (1.021) | Age, sex, PCs(1-5) | — |
| PPM002140 | PGS000811 (AD-PRS_39) |
PSS001052| European Ancestry| 2,052 individuals |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Incident dementia in APOE ɛ4 non-carriers | HR: 1.22 [1.1, 1.35] | — | — | Age at blood sampling, birth year, sex, PCs(1-10) | — |
| PPM002143 | PGS000811 (AD-PRS_39) |
PSS001052| European Ancestry| 2,052 individuals |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Incident dementia in APOE ɛ4 non-carriers aged between 70 and 94 | HR: 1.16 [1.01, 1.34] | — | — | Age at blood sampling, birth year, sex, PCs(1-10) | — |
| PPM002144 | PGS000811 (AD-PRS_39) |
PSS001052| European Ancestry| 2,052 individuals |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Incident dementia in APOE ɛ4 non-carriers aged 95 years or above | HR: 1.28 [1.1, 1.5] | — | — | Age at blood sampling, birth year, sex, PCs(1-10) | — |
| PPM002145 | PGS000811 (AD-PRS_39) |
PSS001052| European Ancestry| 2,052 individuals |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Incident dementia in APOE ɛ4 carriers aged 95 years or above | HR: 0.62 [0.41, 0.95] | — | — | Age at blood sampling, birth year, sex, PCs(1-10) | — |
| PPM002141 | PGS000812 (AD-PRS_57) |
PSS001052| European Ancestry| 2,052 individuals |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Incident dementia | HR: 1.09 [1.01, 1.19] | — | — | Age at blood sampling, birth year, sex, PCs(1-10) | — |
| PPM002142 | PGS000812 (AD-PRS_57) |
PSS001052| European Ancestry| 2,052 individuals |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Incident dementia in APOE ɛ4 non-carriers | HR: 1.15 [1.05, 1.27] | — | — | Age at blood sampling, birth year, sex, PCs(1-10) | — |
| PPM002146 | PGS000812 (AD-PRS_57) |
PSS001052| European Ancestry| 2,052 individuals |
PGP000196 | Najar J et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Incident dementia in individuals aged 95 or above | HR: 1.15 [1.01, 1.32] | — | — | Age at blood sampling, birth year, sex, PCs(1-10) | — |
| PPM002216 | PGS000823 (GRS23_AD) |
PSS001080| European Ancestry| 12,255 individuals |
PGP000207 | van der Lee SJ et al. Lancet Neurol (2018) |
Reported Trait: Incident dementia at age 85 in individuals homozygous for APOE ε4 | — | — | Cumulative risk p-value (top 33.3% vs bottom 33.3%): 0.00022 | Mortality | — |
| PPM002218 | PGS000823 (GRS23_AD) |
PSS001080| European Ancestry| 12,255 individuals |
PGP000207 | van der Lee SJ et al. Lancet Neurol (2018) |
Reported Trait: Incident dementia at age 90 | — | — | Cumulative risk p-value (top 33.3% vs bottom 33.3%): 5.20e-13 | Mortality | — |
| PPM002219 | PGS000823 (GRS23_AD) |
PSS001081| European Ancestry| 12,978 individuals |
PGP000208 | Riaz M et al. Aging Cell (2021) |Ext. |
Reported Trait: Incident all-cause dementia | — | — | Hazard Ratio (HR, top 33.3% vs bottom 33.3%): 1.36 [1.04, 1.76] | Age at enrolment, sex | — |
| PPM002220 | PGS000823 (GRS23_AD) |
PSS001081| European Ancestry| 12,978 individuals |
PGP000208 | Riaz M et al. Aging Cell (2021) |Ext. |
Reported Trait: Incident all-cause dementia | — | — | Hazard Ratio (HR, top 33.3% vs bottom 33.3%): 1.36 [1.04, 1.77] | Age at enrolment, sex, competing risk of death | — |
| PPM002215 | PGS000823 (GRS23_AD) |
PSS001080| European Ancestry| 12,255 individuals |
PGP000207 | van der Lee SJ et al. Lancet Neurol (2018) |
Reported Trait: Incident Alzheimer's disease at age 80 in individuals homozygous for APOE ε4 | — | — | Cumulative risk p-value (top 33.3% vs bottom 33.3%): 0.0056 | Non-Alzheimer's disease dementia, mortality | — |
| PPM002217 | PGS000823 (GRS23_AD) |
PSS001080| European Ancestry| 12,255 individuals |
PGP000207 | van der Lee SJ et al. Lancet Neurol (2018) |
Reported Trait: Incident Alzheimer's disease at age 85 | — | — | Cumulative risk p-value (top 33.3% vs bottom 33.3%): 7.90e-14 | Non-Alzheimer's disease dementia, mortality | — |
| PPM002214 | PGS000823 (GRS23_AD) |
PSS001080| European Ancestry| 12,255 individuals |
PGP000207 | van der Lee SJ et al. Lancet Neurol (2018) |
Reported Trait: Incident Alzheimer's disease at age 85 in individuals homozygous for APOE ε4 | — | — | Cumulative risk p-value (top 33.3% vs bottom 33.3%): 0.0085 | Non-Alzheimer's disease dementia, mortality | — |
| PPM002505 | PGS000876 (PRS31_AD) |
PSS001127| European Ancestry| 8,415 individuals |
PGP000222 | Leonenko G et al. Ann Clin Transl Neurol (2019) |
Reported Trait: Age at Alzheimer's disease onset | β: 0.13 (0.02) | — | — | Gender, PCs (1-3), APOE(ε2 + ε4) | Due to SNP availability issues in the dataset, only 25 out of the 31 variants used to construct the polygenic risk score were used. |
| PPM002506 | PGS000876 (PRS31_AD) |
PSS001125| European Ancestry| 9,903 individuals |
PGP000222 | Leonenko G et al. Ann Clin Transl Neurol (2019) |
Reported Trait: Age at Alzheimer's disease onset | β: 0.28 (0.04) | — | — | Gender, PCs (1-3), APOE ε2, APOE ε4 | — |
| PPM002507 | PGS000876 (PRS31_AD) |
PSS001126| European Ancestry| 4,100 individuals |
PGP000222 | Leonenko G et al. Ann Clin Transl Neurol (2019) |
Reported Trait: Age at Alzheimer's disease onset in individuals above the age of 55 | β: 0.29 (0.03) | — | — | Gender, PCs (1-3), APOE ε2, APOE ε4 | — |
| PPM002634 | PGS000898 (PRS39_AD) |
PSS001167| European Ancestry| 2,394 individuals |
PGP000231 | de Rojas I et al. Nat Commun (2021) |
Reported Trait: Alzheimer's disease (clinically confirmed) | OR: 1.3 [1.18, 1.44] | — | — | PCs(1-4) | — |
| PPM002635 | PGS000898 (PRS39_AD) |
PSS001167| European Ancestry| 2,394 individuals |
PGP000231 | de Rojas I et al. Nat Commun (2021) |
Reported Trait: Alzheimer's disease (pathologically confirmed) | OR: 1.38 [1.21, 1.58] | — | — | PCs(1-4) | — |
| PPM002636 | PGS000898 (PRS39_AD) |
PSS001167| European Ancestry| 2,394 individuals |
PGP000231 | de Rojas I et al. Nat Commun (2021) |
Reported Trait: Alzheimer's disease (pathologically confirmed, males) | OR: 1.33 [1.13, 1.56] | — | — | PCs(1-4) | — |
| PPM002637 | PGS000898 (PRS39_AD) |
PSS001167| European Ancestry| 2,394 individuals |
PGP000231 | de Rojas I et al. Nat Commun (2021) |
Reported Trait: Alzheimer's disease (pathologically confirmed, females) | OR: 1.32 [1.19, 1.47] | — | — | PCs(1-4) | — |
| PPM002638 | PGS000898 (PRS39_AD) |
PSS001167| European Ancestry| 2,394 individuals |
PGP000231 | de Rojas I et al. Nat Commun (2021) |
Reported Trait: Early-onset Alzheimer's disease (< 65 years) | OR: 1.58 [1.22, 2.05] | — | — | PCs(1-4) | — |
| PPM002639 | PGS000898 (PRS39_AD) |
PSS001167| European Ancestry| 2,394 individuals |
PGP000231 | de Rojas I et al. Nat Commun (2021) |
Reported Trait: Late-onset Alzheimer's disease (> 85 years) | OR: 1.29 [1.1, 1.51] | — | — | PCs(1-4) | — |
| PPM002681 | PGS000907 (PRS_MDD) |
PSS001279| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Escitalopram takers | OR: 1.0 [0.92, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002682 | PGS000907 (PRS_MDD) |
PSS001284| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Venlafaxine takers | OR: 1.05 [0.96, 1.15] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002684 | PGS000907 (PRS_MDD) |
PSS001281| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Mirtazapine takers | OR: 1.05 [0.91, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.05 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002685 | PGS000907 (PRS_MDD) |
PSS001277| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Desvenlafaxine takers | OR: 1.01 [0.91, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002686 | PGS000907 (PRS_MDD) |
PSS001276| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Citalopram takers | OR: 1.02 [0.9, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002687 | PGS000907 (PRS_MDD) |
PSS001280| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Fluoxetine takers | OR: 1.06 [0.96, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002688 | PGS000907 (PRS_MDD) |
PSS001278| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Duloxetine takers | OR: 1.06 [0.95, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002689 | PGS000907 (PRS_MDD) |
PSS001282| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Paroxetine takers | OR: 1.08 [0.92, 1.26] | — | Variance explained (Nagelkerke's R2*100): 0.11 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002690 | PGS000907 (PRS_MDD) |
PSS001243| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Sertraline takers | OR: 1.06 [0.98, 1.14] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002691 | PGS000907 (PRS_MDD) |
PSS001239| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Escitalopram takers | OR: 1.06 [0.98, 1.15] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002692 | PGS000907 (PRS_MDD) |
PSS001244| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Venlafaxine takers | OR: 1.01 [0.93, 1.09] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002693 | PGS000907 (PRS_MDD) |
PSS001235| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Amitriptyline takers | OR: 0.96 [0.83, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002694 | PGS000907 (PRS_MDD) |
PSS001241| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Mirtazapine takers | OR: 1.07 [0.93, 1.23] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002695 | PGS000907 (PRS_MDD) |
PSS001237| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Desvenlafaxine takers | OR: 0.97 [0.87, 1.07] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002696 | PGS000907 (PRS_MDD) |
PSS001236| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Citalopram takers | OR: 0.99 [0.87, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002697 | PGS000907 (PRS_MDD) |
PSS001240| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Fluoxetine takers | OR: 1.16 [1.04, 1.29] | — | Variance explained (Nagelkerke's R2*100): 0.41 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002698 | PGS000907 (PRS_MDD) |
PSS001238| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Duloxetine takers | OR: 0.98 [0.88, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002699 | PGS000907 (PRS_MDD) |
PSS001242| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dizziness in Paroxetine takers | OR: 1.08 [0.93, 1.24] | — | Variance explained (Nagelkerke's R2*100): 0.12 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002700 | PGS000907 (PRS_MDD) |
PSS001373| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Sertraline takers | OR: 1.03 [0.94, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002701 | PGS000907 (PRS_MDD) |
PSS001369| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Escitalopram takers | OR: 1.01 [0.9, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002702 | PGS000907 (PRS_MDD) |
PSS001374| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Venlafaxine takers | OR: 1.1 [1.0, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.18 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002703 | PGS000907 (PRS_MDD) |
PSS001365| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Amitriptyline takers | OR: 0.99 [0.81, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002704 | PGS000907 (PRS_MDD) |
PSS001371| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Mirtazapine takers | OR: 1.03 [0.86, 1.24] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002705 | PGS000907 (PRS_MDD) |
PSS001367| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Desvenlafaxine takers | OR: 1.04 [0.92, 1.18] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002707 | PGS000907 (PRS_MDD) |
PSS001370| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Fluoxetine takers | OR: 1.06 [0.95, 1.19] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002708 | PGS000907 (PRS_MDD) |
PSS001368| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Duloxetine takers | OR: 0.9 [0.79, 1.04] | — | Variance explained (Nagelkerke's R2*100): 0.21 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002709 | PGS000907 (PRS_MDD) |
PSS001372| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Paroxetine takers | OR: 1.19 [1.0, 1.41] | — | Variance explained (Nagelkerke's R2*100): 0.53 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002710 | PGS000907 (PRS_MDD) |
PSS001303| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Sertraline takers | OR: 1.13 [0.97, 1.31] | — | Variance explained (Nagelkerke's R2*100): 0.18 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002711 | PGS000907 (PRS_MDD) |
PSS001299| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Escitalopram takers | OR: 0.96 [0.8, 1.14] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002712 | PGS000907 (PRS_MDD) |
PSS001304| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Venlafaxine takers | OR: 1.22 [1.03, 1.45] | — | Variance explained (Nagelkerke's R2*100): 0.51 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002713 | PGS000907 (PRS_MDD) |
PSS001295| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Amitriptyline takers | OR: 1.06 [0.8, 1.4] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002715 | PGS000907 (PRS_MDD) |
PSS001297| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Desvenlafaxine takers | OR: 1.0 [0.8, 1.24] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002716 | PGS000907 (PRS_MDD) |
PSS001296| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Citalopram takers | OR: 0.95 [0.72, 1.27] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002717 | PGS000907 (PRS_MDD) |
PSS001300| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Fluoxetine takers | OR: 1.3 [1.05, 1.6] | — | Variance explained (Nagelkerke's R2*100): 0.77 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002718 | PGS000907 (PRS_MDD) |
PSS001298| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Duloxetine takers | OR: 0.99 [0.82, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002720 | PGS000907 (PRS_MDD) |
PSS001263| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Sertraline takers | OR: 1.04 [0.98, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.05 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002721 | PGS000907 (PRS_MDD) |
PSS001259| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Escitalopram takers | OR: 1.01 [0.94, 1.09] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002722 | PGS000907 (PRS_MDD) |
PSS001264| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Venlafaxine takers | OR: 0.98 [0.91, 1.05] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002723 | PGS000907 (PRS_MDD) |
PSS001255| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Amitriptyline takers | OR: 1.06 [0.95, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002724 | PGS000907 (PRS_MDD) |
PSS001261| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Mirtazapine takers | OR: 1.05 [0.94, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002725 | PGS000907 (PRS_MDD) |
PSS001257| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Desvenlafaxine takers | OR: 1.09 [0.99, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.2 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002726 | PGS000907 (PRS_MDD) |
PSS001256| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Citalopram takers | OR: 1.11 [1.0, 1.23] | — | Variance explained (Nagelkerke's R2*100): 0.23 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002727 | PGS000907 (PRS_MDD) |
PSS001260| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Fluoxetine takers | OR: 1.0 [0.92, 1.09] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002728 | PGS000907 (PRS_MDD) |
PSS001258| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Duloxetine takers | OR: 1.03 [0.93, 1.13] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002729 | PGS000907 (PRS_MDD) |
PSS001262| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Dry mouth in Paroxetine takers | OR: 0.98 [0.86, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002730 | PGS000907 (PRS_MDD) |
PSS001403| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Sertraline takers | OR: 0.99 [0.92, 1.07] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002731 | PGS000907 (PRS_MDD) |
PSS001399| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Escitalopram takers | OR: 0.97 [0.89, 1.06] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002732 | PGS000907 (PRS_MDD) |
PSS001404| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Venlafaxine takers | OR: 1.04 [0.96, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002733 | PGS000907 (PRS_MDD) |
PSS001395| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Amitriptyline takers | OR: 1.14 [0.96, 1.37] | — | Variance explained (Nagelkerke's R2*100): 0.3 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002734 | PGS000907 (PRS_MDD) |
PSS001401| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Mirtazapine takers | OR: 1.05 [0.9, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002735 | PGS000907 (PRS_MDD) |
PSS001397| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Desvenlafaxine takers | OR: 0.99 [0.9, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002736 | PGS000907 (PRS_MDD) |
PSS001396| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Citalopram takers | OR: 1.14 [0.99, 1.3] | — | Variance explained (Nagelkerke's R2*100): 0.29 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002737 | PGS000907 (PRS_MDD) |
PSS001400| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Fluoxetine takers | OR: 1.04 [0.94, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002738 | PGS000907 (PRS_MDD) |
PSS001398| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Duloxetine takers | OR: 0.96 [0.86, 1.07] | — | Variance explained (Nagelkerke's R2*100): 0.05 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002739 | PGS000907 (PRS_MDD) |
PSS001402| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Sweating in Paroxetine takers | OR: 1.1 [0.94, 1.28] | — | Variance explained (Nagelkerke's R2*100): 0.17 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002741 | PGS000907 (PRS_MDD) |
PSS001309| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Escitalopram takers | OR: 1.06 [0.98, 1.15] | — | Variance explained (Nagelkerke's R2*100): 0.08 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002742 | PGS000907 (PRS_MDD) |
PSS001314| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Venlafaxine takers | OR: 1.08 [1.0, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.14 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002743 | PGS000907 (PRS_MDD) |
PSS001305| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Amitriptyline takers | OR: 1.12 [0.95, 1.31] | — | Variance explained (Nagelkerke's R2*100): 0.22 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002744 | PGS000907 (PRS_MDD) |
PSS001311| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Mirtazapine takers | OR: 1.08 [0.93, 1.25] | — | Variance explained (Nagelkerke's R2*100): 0.1 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002745 | PGS000907 (PRS_MDD) |
PSS001307| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Desvenlafaxine takers | OR: 1.06 [0.96, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.08 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002746 | PGS000907 (PRS_MDD) |
PSS001306| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Citalopram takers | OR: 1.11 [0.99, 1.25] | — | Variance explained (Nagelkerke's R2*100): 0.24 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002747 | PGS000907 (PRS_MDD) |
PSS001310| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Fluoxetine takers | OR: 1.06 [0.97, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002748 | PGS000907 (PRS_MDD) |
PSS001308| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Duloxetine takers | OR: 1.16 [1.04, 1.29] | — | Variance explained (Nagelkerke's R2*100): 0.55 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002749 | PGS000907 (PRS_MDD) |
PSS001312| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Paroxetine takers | OR: 1.1 [0.96, 1.27] | — | Variance explained (Nagelkerke's R2*100): 0.21 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002750 | PGS000907 (PRS_MDD) |
PSS001423| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Sertraline takers | OR: 1.21 [1.03, 1.43] | — | Variance explained (Nagelkerke's R2*100): 0.44 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002751 | PGS000907 (PRS_MDD) |
PSS001419| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Escitalopram takers | OR: 0.96 [0.78, 1.18] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002752 | PGS000907 (PRS_MDD) |
PSS001424| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Venlafaxine takers | OR: 1.14 [0.96, 1.36] | — | Variance explained (Nagelkerke's R2*100): 0.22 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002754 | PGS000907 (PRS_MDD) |
PSS001421| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Mirtazapine takers | OR: 1.23 [0.88, 1.72] | — | Variance explained (Nagelkerke's R2*100): 0.45 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002755 | PGS000907 (PRS_MDD) |
PSS001417| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Desvenlafaxine takers | OR: 1.08 [0.86, 1.36] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002756 | PGS000907 (PRS_MDD) |
PSS001416| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Citalopram takers | OR: 1.19 [0.87, 1.64] | — | Variance explained (Nagelkerke's R2*100): 0.32 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002757 | PGS000907 (PRS_MDD) |
PSS001420| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Fluoxetine takers | OR: 1.01 [0.8, 1.28] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002758 | PGS000907 (PRS_MDD) |
PSS001418| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Duloxetine takers | OR: 1.09 [0.87, 1.35] | — | Variance explained (Nagelkerke's R2*100): 0.1 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002759 | PGS000907 (PRS_MDD) |
PSS001422| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Paroxetine takers | OR: 1.17 [0.86, 1.61] | — | Variance explained (Nagelkerke's R2*100): 0.3 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002760 | PGS000907 (PRS_MDD) |
PSS001223| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Sertraline takers | OR: 1.15 [1.03, 1.29] | — | Variance explained (Nagelkerke's R2*100): 0.29 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002761 | PGS000907 (PRS_MDD) |
PSS001219| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Escitalopram takers | OR: 1.16 [1.01, 1.33] | — | Variance explained (Nagelkerke's R2*100): 0.32 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002762 | PGS000907 (PRS_MDD) |
PSS001224| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Venlafaxine takers | OR: 1.19 [1.07, 1.34] | — | Variance explained (Nagelkerke's R2*100): 0.54 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002763 | PGS000907 (PRS_MDD) |
PSS001215| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Amitriptyline takers | OR: 1.16 [0.98, 1.37] | — | Variance explained (Nagelkerke's R2*100): 0.38 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002764 | PGS000907 (PRS_MDD) |
PSS001221| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Mirtazapine takers | OR: 1.08 [0.89, 1.29] | — | Variance explained (Nagelkerke's R2*100): 0.08 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002765 | PGS000907 (PRS_MDD) |
PSS001217| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Desvenlafaxine takers | OR: 1.03 [0.89, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002767 | PGS000907 (PRS_MDD) |
PSS001220| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Fluoxetine takers | OR: 1.09 [0.94, 1.27] | — | Variance explained (Nagelkerke's R2*100): 0.11 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002768 | PGS000907 (PRS_MDD) |
PSS001218| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Duloxetine takers | OR: 1.02 [0.89, 1.18] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002769 | PGS000907 (PRS_MDD) |
PSS001222| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Paroxetine takers | OR: 1.09 [0.9, 1.31] | — | Variance explained (Nagelkerke's R2*100): 0.12 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002771 | PGS000907 (PRS_MDD) |
PSS001229| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Escitalopram takers | OR: 1.01 [0.89, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002772 | PGS000907 (PRS_MDD) |
PSS001234| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Venlafaxine takers | OR: 1.13 [0.97, 1.32] | — | Variance explained (Nagelkerke's R2*100): 0.2 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002773 | PGS000907 (PRS_MDD) |
PSS001225| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Amitriptyline takers | OR: 1.02 [0.73, 1.42] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002774 | PGS000907 (PRS_MDD) |
PSS001231| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Mirtazapine takers | OR: 1.13 [0.89, 1.42] | — | Variance explained (Nagelkerke's R2*100): 0.18 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002775 | PGS000907 (PRS_MDD) |
PSS001227| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Desvenlafaxine takers | OR: 1.01 [0.84, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002776 | PGS000907 (PRS_MDD) |
PSS001226| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Citalopram takers | OR: 0.95 [0.76, 1.19] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002777 | PGS000907 (PRS_MDD) |
PSS001230| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Fluoxetine takers | OR: 0.99 [0.84, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002778 | PGS000907 (PRS_MDD) |
PSS001228| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Duloxetine takers | OR: 1.08 [0.9, 1.3] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002779 | PGS000907 (PRS_MDD) |
PSS001232| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Paroxetine takers | OR: 1.47 [1.13, 1.91] | — | Variance explained (Nagelkerke's R2*100): 1.92 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002780 | PGS000907 (PRS_MDD) |
PSS001253| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Sertraline takers | OR: 1.01 [0.94, 1.09] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002782 | PGS000907 (PRS_MDD) |
PSS001254| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Venlafaxine takers | OR: 1.0 [0.91, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002783 | PGS000907 (PRS_MDD) |
PSS001245| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Amitriptyline takers | OR: 0.99 [0.89, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002784 | PGS000907 (PRS_MDD) |
PSS001251| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Mirtazapine takers | OR: 1.06 [0.96, 1.18] | — | Variance explained (Nagelkerke's R2*100): 0.1 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002785 | PGS000907 (PRS_MDD) |
PSS001247| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Desvenlafaxine takers | OR: 0.99 [0.88, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002786 | PGS000907 (PRS_MDD) |
PSS001246| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Citalopram takers | OR: 1.05 [0.93, 1.18] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002787 | PGS000907 (PRS_MDD) |
PSS001250| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Fluoxetine takers | OR: 1.04 [0.94, 1.14] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002788 | PGS000907 (PRS_MDD) |
PSS001248| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Duloxetine takers | OR: 0.96 [0.86, 1.08] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002789 | PGS000907 (PRS_MDD) |
PSS001252| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Paroxetine takers | OR: 0.97 [0.83, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002790 | PGS000907 (PRS_MDD) |
PSS001413| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Sertraline takers | OR: 1.04 [0.97, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002791 | PGS000907 (PRS_MDD) |
PSS001409| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Escitalopram takers | OR: 1.02 [0.94, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002792 | PGS000907 (PRS_MDD) |
PSS001414| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Venlafaxine takers | OR: 1.02 [0.94, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002793 | PGS000907 (PRS_MDD) |
PSS001405| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Amitriptyline takers | OR: 1.05 [0.88, 1.26] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002794 | PGS000907 (PRS_MDD) |
PSS001411| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Mirtazapine takers | OR: 1.13 [0.97, 1.32] | — | Variance explained (Nagelkerke's R2*100): 0.27 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002795 | PGS000907 (PRS_MDD) |
PSS001407| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Desvenlafaxine takers | OR: 1.05 [0.95, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.05 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002796 | PGS000907 (PRS_MDD) |
PSS001406| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Citalopram takers | OR: 1.0 [0.89, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002797 | PGS000907 (PRS_MDD) |
PSS001410| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Fluoxetine takers | OR: 1.05 [0.96, 1.15] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002798 | PGS000907 (PRS_MDD) |
PSS001408| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Duloxetine takers | OR: 0.97 [0.87, 1.09] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002800 | PGS000907 (PRS_MDD) |
PSS001203| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Sertraline takers | OR: 1.13 [1.04, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.29 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002801 | PGS000907 (PRS_MDD) |
PSS001199| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Escitalopram takers | OR: 1.01 [0.91, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002802 | PGS000907 (PRS_MDD) |
PSS001204| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Venlafaxine takers | OR: 1.14 [1.04, 1.26] | — | Variance explained (Nagelkerke's R2*100): 0.36 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002803 | PGS000907 (PRS_MDD) |
PSS001195| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Amitriptyline takers | OR: 1.05 [0.87, 1.27] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002804 | PGS000907 (PRS_MDD) |
PSS001201| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Mirtazapine takers | OR: 1.2 [1.03, 1.39] | — | Variance explained (Nagelkerke's R2*100): 0.59 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002805 | PGS000907 (PRS_MDD) |
PSS001197| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Desvenlafaxine takers | OR: 1.04 [0.92, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002806 | PGS000907 (PRS_MDD) |
PSS001196| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Citalopram takers | OR: 0.97 [0.85, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002807 | PGS000907 (PRS_MDD) |
PSS001200| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Fluoxetine takers | OR: 1.05 [0.96, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002808 | PGS000907 (PRS_MDD) |
PSS001198| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Duloxetine takers | OR: 1.0 [0.87, 1.14] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002809 | PGS000907 (PRS_MDD) |
PSS001202| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Anxiety in Paroxetine takers | OR: 1.1 [0.94, 1.29] | — | Variance explained (Nagelkerke's R2*100): 0.19 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002810 | PGS000907 (PRS_MDD) |
PSS001193| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Sertraline takers | OR: 1.04 [0.96, 1.13] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002811 | PGS000907 (PRS_MDD) |
PSS001189| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Escitalopram takers | OR: 1.06 [0.96, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002812 | PGS000907 (PRS_MDD) |
PSS001194| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Venlafaxine takers | OR: 1.06 [0.97, 1.17] | — | Variance explained (Nagelkerke's R2*100): 0.08 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002813 | PGS000907 (PRS_MDD) |
PSS001185| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Amitriptyline takers | OR: 1.02 [0.85, 1.23] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002814 | PGS000907 (PRS_MDD) |
PSS001191| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Mirtazapine takers | OR: 1.25 [1.08, 1.46] | — | Variance explained (Nagelkerke's R2*100): 0.93 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002816 | PGS000907 (PRS_MDD) |
PSS001186| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Citalopram takers | OR: 1.05 [0.91, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002817 | PGS000907 (PRS_MDD) |
PSS001190| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Fluoxetine takers | OR: 1.06 [0.96, 1.18] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002818 | PGS000907 (PRS_MDD) |
PSS001188| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Duloxetine takers | OR: 1.05 [0.91, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.05 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002819 | PGS000907 (PRS_MDD) |
PSS001192| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Paroxetine takers | OR: 1.19 [1.02, 1.38] | — | Variance explained (Nagelkerke's R2*100): 0.6 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002820 | PGS000907 (PRS_MDD) |
PSS001273| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Sertraline takers | OR: 1.01 [0.94, 1.09] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002821 | PGS000907 (PRS_MDD) |
PSS001269| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Escitalopram takers | OR: 0.96 [0.88, 1.05] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002822 | PGS000907 (PRS_MDD) |
PSS001274| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Venlafaxine takers | OR: 1.06 [0.97, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.08 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002823 | PGS000907 (PRS_MDD) |
PSS001265| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Amitriptyline takers | OR: 1.12 [0.97, 1.28] | — | Variance explained (Nagelkerke's R2*100): 0.25 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002824 | PGS000907 (PRS_MDD) |
PSS001271| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Mirtazapine takers | OR: 1.06 [0.94, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002826 | PGS000907 (PRS_MDD) |
PSS001266| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Citalopram takers | OR: 0.98 [0.86, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002827 | PGS000907 (PRS_MDD) |
PSS001270| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Fluoxetine takers | OR: 1.02 [0.92, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002829 | PGS000907 (PRS_MDD) |
PSS001272| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Paroxetine takers | OR: 0.96 [0.82, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002831 | PGS000907 (PRS_MDD) |
PSS001429| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Escitalopram takers | OR: 1.04 [0.97, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.05 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002832 | PGS000907 (PRS_MDD) |
PSS001434| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Venlafaxine takers | OR: 1.03 [0.96, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002833 | PGS000907 (PRS_MDD) |
PSS001425| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Amitriptyline takers | OR: 1.06 [0.95, 1.19] | — | Variance explained (Nagelkerke's R2*100): 0.1 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002834 | PGS000907 (PRS_MDD) |
PSS001431| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Mirtazapine takers | OR: 1.02 [0.93, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002835 | PGS000907 (PRS_MDD) |
PSS001427| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Desvenlafaxine takers | OR: 1.11 [1.02, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.33 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002836 | PGS000907 (PRS_MDD) |
PSS001426| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Citalopram takers | OR: 1.14 [1.03, 1.25] | — | Variance explained (Nagelkerke's R2*100): 0.4 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002837 | PGS000907 (PRS_MDD) |
PSS001430| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Fluoxetine takers | OR: 1.04 [0.96, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002838 | PGS000907 (PRS_MDD) |
PSS001428| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Duloxetine takers | OR: 1.0 [0.91, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002839 | PGS000907 (PRS_MDD) |
PSS001432| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Paroxetine takers | OR: 1.11 [0.99, 1.24] | — | Variance explained (Nagelkerke's R2*100): 0.28 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002840 | PGS000907 (PRS_MDD) |
PSS001443| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Sertraline takers | OR: 0.9 [0.75, 1.07] | — | Variance explained (Nagelkerke's R2*100): 0.14 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002841 | PGS000907 (PRS_MDD) |
PSS001439| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Escitalopram takers | OR: 1.07 [0.88, 1.32] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002842 | PGS000907 (PRS_MDD) |
PSS001444| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Venlafaxine takers | OR: 1.05 [0.84, 1.3] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002844 | PGS000907 (PRS_MDD) |
PSS001441| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Mirtazapine takers | OR: 1.21 [0.85, 1.71] | — | Variance explained (Nagelkerke's R2*100): 0.37 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002845 | PGS000907 (PRS_MDD) |
PSS001437| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Desvenlafaxine takers | OR: 0.95 [0.74, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002846 | PGS000907 (PRS_MDD) |
PSS001436| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Citalopram takers | OR: 0.87 [0.61, 1.23] | — | Variance explained (Nagelkerke's R2*100): 0.19 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002847 | PGS000907 (PRS_MDD) |
PSS001440| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Fluoxetine takers | OR: 1.16 [0.96, 1.39] | — | Variance explained (Nagelkerke's R2*100): 0.26 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002848 | PGS000907 (PRS_MDD) |
PSS001438| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Duloxetine takers | OR: 0.96 [0.75, 1.23] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002849 | PGS000907 (PRS_MDD) |
PSS001442| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Paroxetine takers | OR: 1.36 [0.88, 2.1] | — | Variance explained (Nagelkerke's R2*100): 0.99 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002852 | PGS000907 (PRS_MDD) |
PSS001344| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Venlafaxine takers | OR: 1.0 [0.74, 1.36] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002853 | PGS000907 (PRS_MDD) |
PSS001335| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Amitriptyline takers | OR: 1.22 [0.73, 2.04] | — | Variance explained (Nagelkerke's R2*100): 0.42 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002854 | PGS000907 (PRS_MDD) |
PSS001341| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Mirtazapine takers | OR: 1.0 [0.65, 1.52] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002855 | PGS000907 (PRS_MDD) |
PSS001337| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Desvenlafaxine takers | OR: 1.58 [1.13, 2.23] | — | Variance explained (Nagelkerke's R2*100): 2.19 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002856 | PGS000907 (PRS_MDD) |
PSS001336| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Citalopram takers | OR: 1.1 [0.7, 1.74] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002857 | PGS000907 (PRS_MDD) |
PSS001340| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Fluoxetine takers | OR: 1.34 [0.91, 1.97] | — | Variance explained (Nagelkerke's R2*100): 0.75 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002858 | PGS000907 (PRS_MDD) |
PSS001338| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Duloxetine takers | OR: 1.13 [0.75, 1.7] | — | Variance explained (Nagelkerke's R2*100): 0.14 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002859 | PGS000907 (PRS_MDD) |
PSS001342| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Paroxetine takers | OR: 1.16 [0.69, 1.95] | — | Variance explained (Nagelkerke's R2*100): 0.22 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002860 | PGS000907 (PRS_MDD) |
PSS001363| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Sertraline takers | OR: 1.0 [0.79, 1.28] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002861 | PGS000907 (PRS_MDD) |
PSS001359| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Escitalopram takers | OR: 0.91 [0.69, 1.19] | — | Variance explained (Nagelkerke's R2*100): 0.1 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002862 | PGS000907 (PRS_MDD) |
PSS001364| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Venlafaxine takers | OR: 1.06 [0.8, 1.42] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002863 | PGS000907 (PRS_MDD) |
PSS001355| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Amitriptyline takers | OR: 0.59 [0.36, 0.98] | — | Variance explained (Nagelkerke's R2*100): 2.43 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002864 | PGS000907 (PRS_MDD) |
PSS001361| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Mirtazapine takers | OR: 0.85 [0.55, 1.3] | — | Variance explained (Nagelkerke's R2*100): 0.25 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002865 | PGS000907 (PRS_MDD) |
PSS001357| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Desvenlafaxine takers | OR: 0.8 [0.59, 1.07] | — | Variance explained (Nagelkerke's R2*100): 0.58 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002868 | PGS000907 (PRS_MDD) |
PSS001358| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Duloxetine takers | OR: 0.99 [0.71, 1.38] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002869 | PGS000907 (PRS_MDD) |
PSS001362| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Paroxetine takers | OR: 0.9 [0.53, 1.52] | — | Variance explained (Nagelkerke's R2*100): 0.11 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002870 | PGS000907 (PRS_MDD) |
PSS001353| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Sertraline takers | OR: 1.0 [0.95, 1.06] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002871 | PGS000907 (PRS_MDD) |
PSS001349| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Escitalopram takers | OR: 0.99 [0.93, 1.06] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002872 | PGS000907 (PRS_MDD) |
PSS001354| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Venlafaxine takers | OR: 1.05 [0.99, 1.13] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002873 | PGS000907 (PRS_MDD) |
PSS001345| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Amitriptyline takers | OR: 1.08 [0.96, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.16 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002878 | PGS000907 (PRS_MDD) |
PSS001348| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Duloxetine takers | OR: 0.99 [0.91, 1.09] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002879 | PGS000907 (PRS_MDD) |
PSS001352| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Paroxetine takers | OR: 1.0 [0.9, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002883 | PGS000907 (PRS_MDD) |
PSS001205| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Amitriptyline takers | OR: 1.08 [0.86, 1.36] | — | Variance explained (Nagelkerke's R2*100): 0.08 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002884 | PGS000907 (PRS_MDD) |
PSS001211| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Mirtazapine takers | OR: 1.05 [0.84, 1.31] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002885 | PGS000907 (PRS_MDD) |
PSS001207| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Desvenlafaxine takers | OR: 1.13 [0.94, 1.37] | — | Variance explained (Nagelkerke's R2*100): 0.22 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002886 | PGS000907 (PRS_MDD) |
PSS001206| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Citalopram takers | OR: 1.39 [1.08, 1.79] | — | Variance explained (Nagelkerke's R2*100): 1.2 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002887 | PGS000907 (PRS_MDD) |
PSS001210| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Fluoxetine takers | OR: 1.03 [0.85, 1.24] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002888 | PGS000907 (PRS_MDD) |
PSS001208| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Duloxetine takers | OR: 1.04 [0.87, 1.26] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002889 | PGS000907 (PRS_MDD) |
PSS001212| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Paroxetine takers | OR: 1.32 [1.0, 1.75] | — | Variance explained (Nagelkerke's R2*100): 0.99 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002890 | PGS000907 (PRS_MDD) |
PSS001393| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Sertraline takers | OR: 1.24 [1.14, 1.34] | — | Variance explained (Nagelkerke's R2*100): 0.9 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002894 | PGS000907 (PRS_MDD) |
PSS001391| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Mirtazapine takers | OR: 1.09 [0.94, 1.25] | — | Variance explained (Nagelkerke's R2*100): 0.14 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002895 | PGS000907 (PRS_MDD) |
PSS001387| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Desvenlafaxine takers | OR: 1.06 [0.94, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002896 | PGS000907 (PRS_MDD) |
PSS001386| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Citalopram takers | OR: 1.06 [0.92, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002897 | PGS000907 (PRS_MDD) |
PSS001390| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Fluoxetine takers | OR: 1.12 [1.02, 1.23] | — | Variance explained (Nagelkerke's R2*100): 0.27 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002898 | PGS000907 (PRS_MDD) |
PSS001388| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Duloxetine takers | OR: 0.98 [0.86, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002899 | PGS000907 (PRS_MDD) |
PSS001392| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Paroxetine takers | OR: 1.22 [1.05, 1.42] | — | Variance explained (Nagelkerke's R2*100): 0.8 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002900 | PGS000907 (PRS_MDD) |
PSS001383| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Sertraline takers | OR: 1.15 [1.01, 1.31] | — | Variance explained (Nagelkerke's R2*100): 0.28 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002901 | PGS000907 (PRS_MDD) |
PSS001379| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Escitalopram takers | OR: 1.06 [0.9, 1.24] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002902 | PGS000907 (PRS_MDD) |
PSS001384| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Venlafaxine takers | OR: 1.36 [1.18, 1.58] | — | Variance explained (Nagelkerke's R2*100): 1.35 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002903 | PGS000907 (PRS_MDD) |
PSS001375| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Amitriptyline takers | OR: 0.97 [0.75, 1.24] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002904 | PGS000907 (PRS_MDD) |
PSS001381| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Mirtazapine takers | OR: 1.11 [0.88, 1.4] | — | Variance explained (Nagelkerke's R2*100): 0.14 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002905 | PGS000907 (PRS_MDD) |
PSS001377| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Desvenlafaxine takers | OR: 0.97 [0.78, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002906 | PGS000907 (PRS_MDD) |
PSS001376| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Citalopram takers | OR: 0.96 [0.76, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002907 | PGS000907 (PRS_MDD) |
PSS001380| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Fluoxetine takers | OR: 1.09 [0.95, 1.26] | — | Variance explained (Nagelkerke's R2*100): 0.11 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002908 | PGS000907 (PRS_MDD) |
PSS001378| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Duloxetine takers | OR: 1.11 [0.89, 1.38] | — | Variance explained (Nagelkerke's R2*100): 0.15 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002909 | PGS000907 (PRS_MDD) |
PSS001382| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide attempt in Paroxetine takers | OR: 1.22 [0.95, 1.55] | — | Variance explained (Nagelkerke's R2*100): 0.54 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002910 | PGS000907 (PRS_MDD) |
PSS001333| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Sertraline takers | OR: 0.99 [0.91, 1.09] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002911 | PGS000907 (PRS_MDD) |
PSS001329| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Escitalopram takers | OR: 0.96 [0.86, 1.07] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002912 | PGS000907 (PRS_MDD) |
PSS001334| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Venlafaxine takers | OR: 1.14 [1.03, 1.27] | — | Variance explained (Nagelkerke's R2*100): 0.31 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002913 | PGS000907 (PRS_MDD) |
PSS001325| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Amitriptyline takers | OR: 1.07 [0.88, 1.29] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002914 | PGS000907 (PRS_MDD) |
PSS001331| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Mirtazapine takers | OR: 1.03 [0.87, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002915 | PGS000907 (PRS_MDD) |
PSS001327| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Desvenlafaxine takers | OR: 1.02 [0.88, 1.18] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002916 | PGS000907 (PRS_MDD) |
PSS001326| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Citalopram takers | OR: 0.95 [0.82, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002917 | PGS000907 (PRS_MDD) |
PSS001330| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Fluoxetine takers | OR: 1.05 [0.93, 1.18] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002918 | PGS000907 (PRS_MDD) |
PSS001328| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Duloxetine takers | OR: 1.04 [0.89, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002919 | PGS000907 (PRS_MDD) |
PSS001332| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Other side effects in Paroxetine takers | OR: 0.97 [0.81, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002920 | PGS000907 (PRS_MDD) |
PSS001323| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Sertraline takers | OR: 1.04 [0.89, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002921 | PGS000907 (PRS_MDD) |
PSS001319| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Escitalopram takers | OR: 1.04 [0.89, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002922 | PGS000907 (PRS_MDD) |
PSS001324| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Venlafaxine takers | OR: 0.94 [0.79, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.05 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002923 | PGS000907 (PRS_MDD) |
PSS001315| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Amitriptyline takers | OR: 1.03 [0.84, 1.25] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002924 | PGS000907 (PRS_MDD) |
PSS001321| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Mirtazapine takers | OR: 1.05 [0.83, 1.33] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002925 | PGS000907 (PRS_MDD) |
PSS001317| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Desvenlafaxine takers | OR: 0.82 [0.68, 0.98] | — | Variance explained (Nagelkerke's R2*100): 0.6 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002680 | PGS000907 (PRS_MDD) |
PSS001283| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Sertraline takers | OR: 1.03 [0.95, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002683 | PGS000907 (PRS_MDD) |
PSS001275| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Headaches in Amitriptyline takers | OR: 0.96 [0.81, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.04 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002706 | PGS000907 (PRS_MDD) |
PSS001366| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Shakes in Citalopram takers | OR: 1.16 [0.98, 1.38] | — | Variance explained (Nagelkerke's R2*100): 0.32 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002714 | PGS000907 (PRS_MDD) |
PSS001301| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Mirtazapine takers | OR: 1.13 [0.9, 1.43] | — | Variance explained (Nagelkerke's R2*100): 0.2 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002719 | PGS000907 (PRS_MDD) |
PSS001302| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Muscle pain in Paroxetine takers | OR: 1.18 [0.87, 1.61] | — | Variance explained (Nagelkerke's R2*100): 0.34 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002740 | PGS000907 (PRS_MDD) |
PSS001313| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Nausea in Sertraline takers | OR: 1.08 [1.01, 1.15] | — | Variance explained (Nagelkerke's R2*100): 0.13 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002753 | PGS000907 (PRS_MDD) |
PSS001415| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Vomit in Amitriptyline takers | OR: 0.93 [0.65, 1.33] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002766 | PGS000907 (PRS_MDD) |
PSS001216| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Constipation in Citalopram takers | OR: 1.02 [0.85, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002770 | PGS000907 (PRS_MDD) |
PSS001233| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Diarrhoea in Sertraline takers | OR: 1.05 [0.94, 1.16] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002781 | PGS000907 (PRS_MDD) |
PSS001249| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Drowsiness in Escitalopram takers | OR: 0.96 [0.89, 1.05] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002799 | PGS000907 (PRS_MDD) |
PSS001412| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Trouble sleeping in Paroxetine takers | OR: 1.06 [0.92, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002815 | PGS000907 (PRS_MDD) |
PSS001187| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Agitation in Desvenlafaxine takers | OR: 1.07 [0.94, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.08 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002825 | PGS000907 (PRS_MDD) |
PSS001267| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Desvenlafaxine takers | OR: 1.02 [0.91, 1.15] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002828 | PGS000907 (PRS_MDD) |
PSS001268| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Fatigue in Duloxetine takers | OR: 0.93 [0.83, 1.04] | — | Variance explained (Nagelkerke's R2*100): 0.14 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002830 | PGS000907 (PRS_MDD) |
PSS001433| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Sertraline takers | OR: 1.02 [0.96, 1.08] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002843 | PGS000907 (PRS_MDD) |
PSS001435| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight loss in Amitriptyline takers | OR: 1.09 [0.67, 1.78] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002850 | PGS000907 (PRS_MDD) |
PSS001343| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Sertraline takers | OR: 1.04 [0.8, 1.36] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002851 | PGS000907 (PRS_MDD) |
PSS001339| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Rashes in Escitalopram takers | OR: 1.09 [0.79, 1.5] | — | Variance explained (Nagelkerke's R2*100): 0.07 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002866 | PGS000907 (PRS_MDD) |
PSS001356| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Citalopram takers | OR: 1.05 [0.73, 1.51] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002867 | PGS000907 (PRS_MDD) |
PSS001360| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Runny nose in Fluoxetine takers | OR: 1.03 [0.76, 1.4] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002874 | PGS000907 (PRS_MDD) |
PSS001351| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Mirtazapine takers | OR: 0.99 [0.9, 1.1] | — | Variance explained (Nagelkerke's R2*100): 0.0 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002875 | PGS000907 (PRS_MDD) |
PSS001347| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Desvenlafaxine takers | OR: 1.11 [1.02, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.34 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002876 | PGS000907 (PRS_MDD) |
PSS001346| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Citalopram takers | OR: 1.1 [1.01, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.28 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002877 | PGS000907 (PRS_MDD) |
PSS001350| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Reduced sexual desire in Fluoxetine takers | OR: 1.05 [0.98, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002880 | PGS000907 (PRS_MDD) |
PSS001213| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Sertraline takers | OR: 0.96 [0.83, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002881 | PGS000907 (PRS_MDD) |
PSS001209| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Escitalopram takers | OR: 1.03 [0.87, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002882 | PGS000907 (PRS_MDD) |
PSS001214| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Blurry vision in Venlafaxine takers | OR: 0.97 [0.84, 1.12] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002891 | PGS000907 (PRS_MDD) |
PSS001389| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Escitalopram takers | OR: 1.09 [0.99, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.15 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002892 | PGS000907 (PRS_MDD) |
PSS001394| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Venlafaxine takers | OR: 1.19 [1.09, 1.31] | — | Variance explained (Nagelkerke's R2*100): 0.63 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002893 | PGS000907 (PRS_MDD) |
PSS001385| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Suicide thoughts in Amitriptyline takers | OR: 0.94 [0.8, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.06 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002926 | PGS000907 (PRS_MDD) |
PSS001316| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Citalopram takers | OR: 1.08 [0.92, 1.28] | — | Variance explained (Nagelkerke's R2*100): 0.1 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002927 | PGS000907 (PRS_MDD) |
PSS001320| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Fluoxetine takers | OR: 1.05 [0.91, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002928 | PGS000907 (PRS_MDD) |
PSS001318| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Duloxetine takers | OR: 0.91 [0.74, 1.13] | — | Variance explained (Nagelkerke's R2*100): 0.12 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002929 | PGS000907 (PRS_MDD) |
PSS001322| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: No side effects in Paroxetine takers | OR: 0.97 [0.77, 1.22] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002950 | PGS000908 (PRS_Insomnia) |
PSS001293| European Ancestry| 5,713 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Sertraline takers | OR: 1.06 [0.99, 1.14] | — | Variance explained (Nagelkerke's R2*100): 0.09 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002951 | PGS000908 (PRS_Insomnia) |
PSS001289| European Ancestry| 4,362 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Escitalopram takers | OR: 1.12 [1.03, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.27 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002952 | PGS000908 (PRS_Insomnia) |
PSS001294| European Ancestry| 3,964 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Venlafaxine takers | OR: 1.03 [0.95, 1.11] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002953 | PGS000908 (PRS_Insomnia) |
PSS001285| European Ancestry| 1,655 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Amitriptyline takers | OR: 1.28 [1.07, 1.52] | — | Variance explained (Nagelkerke's R2*100): 1.03 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002954 | PGS000908 (PRS_Insomnia) |
PSS001291| European Ancestry| 1,986 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Mirtazapine takers | OR: 1.03 [0.88, 1.2] | — | Variance explained (Nagelkerke's R2*100): 0.01 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002955 | PGS000908 (PRS_Insomnia) |
PSS001287| European Ancestry| 2,523 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Desvenlafaxine takers | OR: 1.13 [1.03, 1.25] | — | Variance explained (Nagelkerke's R2*100): 0.38 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002956 | PGS000908 (PRS_Insomnia) |
PSS001286| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Citalopram takers | OR: 1.08 [0.96, 1.21] | — | Variance explained (Nagelkerke's R2*100): 0.12 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002957 | PGS000908 (PRS_Insomnia) |
PSS001290| European Ancestry| 3,665 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Fluoxetine takers | OR: 1.03 [0.94, 1.13] | — | Variance explained (Nagelkerke's R2*100): 0.02 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002958 | PGS000908 (PRS_Insomnia) |
PSS001288| European Ancestry| 1,994 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Duloxetine takers | OR: 1.14 [1.02, 1.28] | — | Variance explained (Nagelkerke's R2*100): 0.4 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002959 | PGS000908 (PRS_Insomnia) |
PSS001292| European Ancestry| 1,577 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Insomnia in Paroxetine takers | OR: 1.16 [1.01, 1.33] | — | Variance explained (Nagelkerke's R2*100): 0.47 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM007457 | PGS000926 (GBE_QT_FC1001220) |
PSS007536| African Ancestry| 6,254 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | R²: 0.02468 [0.01723, 0.03213] Incremental R2 (full-covars): -0.00089 PGS R2 (no covariates): 0.00034 [-0.00056, 0.00125] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007458 | PGS000926 (GBE_QT_FC1001220) |
PSS007537| East Asian Ancestry| 1,629 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Incremental R2 (full-covars): 0.00183 R²: 0.03667 [0.01919, 0.05415] PGS R2 (no covariates): 0.00244 [-0.00223, 0.0071] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007459 | PGS000926 (GBE_QT_FC1001220) |
PSS007538| European Ancestry| 24,713 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | R²: 0.02067 [0.01717, 0.02417] Incremental R2 (full-covars): 0.00439 PGS R2 (no covariates): 0.00422 [0.00261, 0.00583] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007460 | PGS000926 (GBE_QT_FC1001220) |
PSS007539| South Asian Ancestry| 7,410 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | R²: 0.0158 [0.01032, 0.02128] Incremental R2 (full-covars): 0.00236 PGS R2 (no covariates): 0.00251 [0.0003, 0.00473] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007461 | PGS000926 (GBE_QT_FC1001220) |
PSS007540| European Ancestry| 67,196 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | R²: 0.02284 [0.02061, 0.02507] Incremental R2 (full-covars): 0.00532 PGS R2 (no covariates): 0.00542 [0.00431, 0.00652] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007472 | PGS000929 (GBE_HC1583) |
PSS004302| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD all cause dementia | — | AUROC: 0.87071 [0.81635, 0.92507] | R²: 0.20833 Incremental AUROC (full-covars): 0.0113 PGS R2 (no covariates): 0.01979 PGS AUROC (no covariates): 0.61107 [0.52126, 0.70088] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007473 | PGS000929 (GBE_HC1583) |
PSS004303| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD all cause dementia | — | AUROC: 0.95182 [0.90381, 0.99984] | R²: 0.22288 Incremental AUROC (full-covars): 0.00617 PGS R2 (no covariates): 0.01638 PGS AUROC (no covariates): 0.54656 [0.0, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007474 | PGS000929 (GBE_HC1583) |
PSS004304| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD all cause dementia | — | AUROC: 0.81502 [0.78, 0.85005] | R²: 0.12968 Incremental AUROC (full-covars): 0.00636 PGS R2 (no covariates): 0.01492 PGS AUROC (no covariates): 0.59229 [0.54215, 0.64242] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007475 | PGS000929 (GBE_HC1583) |
PSS004305| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD all cause dementia | — | AUROC: 0.82116 [0.74776, 0.89457] | R²: 0.1345 Incremental AUROC (full-covars): 0.00919 PGS R2 (no covariates): 0.02074 PGS AUROC (no covariates): 0.56393 [0.44983, 0.67804] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007476 | PGS000929 (GBE_HC1583) |
PSS004306| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD all cause dementia | — | AUROC: 0.81557 [0.79434, 0.8368] | R²: 0.11649 Incremental AUROC (full-covars): 0.02294 PGS R2 (no covariates): 0.02346 PGS AUROC (no covariates): 0.62703 [0.59629, 0.65777] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007551 | PGS000945 (GBE_HC710) |
PSS004614| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE dementia in alzheimer's disease | — | AUROC: 0.98515 [0.97381, 0.9965] | R²: 0.33632 Incremental AUROC (full-covars): 0.00807 PGS R2 (no covariates): 0.02667 PGS AUROC (no covariates): 0.7414 [0.59579, 0.88702] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007552 | PGS000945 (GBE_HC710) |
PSS004615| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE dementia in alzheimer's disease | — | AUROC: 0.8807 [0.81377, 0.94763] | R²: 0.16889 Incremental AUROC (full-covars): 0.0235 PGS R2 (no covariates): 0.04331 PGS AUROC (no covariates): 0.66609 [0.55451, 0.77766] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007553 | PGS000945 (GBE_HC710) |
PSS004616| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE dementia in alzheimer's disease | — | AUROC: 0.9584 [0.92052, 0.99629] | R²: 0.25982 Incremental AUROC (full-covars): 0.0131 PGS R2 (no covariates): 0.0675 PGS AUROC (no covariates): 0.67849 [0.36185, 0.99513] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007554 | PGS000945 (GBE_HC710) |
PSS004617| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE dementia in alzheimer's disease | — | AUROC: 0.8916 [0.86249, 0.9207] | R²: 0.16679 Incremental AUROC (full-covars): 0.05458 PGS R2 (no covariates): 0.06543 PGS AUROC (no covariates): 0.75273 [0.69847, 0.80699] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007555 | PGS000946 (GBE_HC713) |
PSS004622| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified dementia | — | AUROC: 0.82014 [0.73087, 0.90941] | R²: 0.13536 Incremental AUROC (full-covars): 0.02407 PGS R2 (no covariates): 0.01431 PGS AUROC (no covariates): 0.57071 [0.42666, 0.71476] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007556 | PGS000946 (GBE_HC713) |
PSS004624| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified dementia | — | AUROC: 0.82275 [0.77979, 0.86571] | R²: 0.12092 Incremental AUROC (full-covars): 0.00342 PGS R2 (no covariates): 0.00838 PGS AUROC (no covariates): 0.57672 [0.50856, 0.64487] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007557 | PGS000946 (GBE_HC713) |
PSS004625| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified dementia | — | AUROC: 0.90804 [0.86257, 0.9535] | R²: 0.20027 Incremental AUROC (full-covars): 0.0061 PGS R2 (no covariates): 0.0151 PGS AUROC (no covariates): 0.56115 [0.41165, 0.71066] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007558 | PGS000946 (GBE_HC713) |
PSS004626| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified dementia | — | AUROC: 0.83545 [0.80839, 0.8625] | R²: 0.11896 Incremental AUROC (full-covars): 0.02339 PGS R2 (no covariates): 0.02543 PGS AUROC (no covariates): 0.64149 [0.59989, 0.68308] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008585 | PGS001179 (GBE_HC711) |
PSS004618| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.89609 [0.78011, 1.0] | R²: 0.23133 Incremental AUROC (full-covars): -0.00271 PGS R2 (no covariates): 0.00098 PGS AUROC (no covariates): 0.45314 [0.26337, 0.6429] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008586 | PGS001179 (GBE_HC711) |
PSS004619| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.86436 [0.80883, 0.91989] | R²: 0.14328 Incremental AUROC (full-covars): 0.00289 PGS R2 (no covariates): 0.00776 PGS AUROC (no covariates): 0.59245 [0.49395, 0.69095] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008587 | PGS001179 (GBE_HC711) |
PSS004620| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.83842 [0.72824, 0.9486] | R²: 0.14604 Incremental AUROC (full-covars): 0.00843 PGS R2 (no covariates): 0.0135 PGS AUROC (no covariates): 0.61894 [0.47358, 0.76431] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008588 | PGS001179 (GBE_HC711) |
PSS004621| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.82562 [0.78593, 0.86531] | R²: 0.10475 Incremental AUROC (full-covars): 0.00707 PGS R2 (no covariates): 0.01123 PGS AUROC (no covariates): 0.61306 [0.55366, 0.67245] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009221 | PGS001348 (GBE_HC1584) |
PSS004307| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD alzheimer's disease | — | AUROC: 0.96694 [0.94819, 0.98568] | R²: 0.31464 Incremental AUROC (full-covars): 0.01598 PGS R2 (no covariates): 0.04322 PGS AUROC (no covariates): 0.69389 [0.49462, 0.89316] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009222 | PGS001348 (GBE_HC1584) |
PSS004309| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD alzheimer's disease | — | AUROC: 0.8626 [0.81314, 0.91206] | R²: 0.15552 Incremental AUROC (full-covars): 0.03113 PGS R2 (no covariates): 0.05179 PGS AUROC (no covariates): 0.66389 [0.57085, 0.75693] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009223 | PGS001348 (GBE_HC1584) |
PSS004310| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD alzheimer's disease | — | AUROC: 0.91522 [0.82612, 1.0] | R²: 0.23563 Incremental AUROC (full-covars): 0.0091 PGS R2 (no covariates): 0.01731 PGS AUROC (no covariates): 0.59348 [0.39906, 0.7879] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009224 | PGS001348 (GBE_HC1584) |
PSS004311| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD alzheimer's disease | — | AUROC: 0.8686 [0.84242, 0.89478] | R²: 0.1517 Incremental AUROC (full-covars): 0.05292 PGS R2 (no covariates): 0.05685 PGS AUROC (no covariates): 0.72349 [0.67813, 0.76886] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009225 | PGS001349 (GBE_HC807) |
PSS004632| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE alzheimer's disease | — | AUROC: 0.96248 [0.93046, 0.9945] | R²: 0.31063 Incremental AUROC (full-covars): 0.00757 PGS R2 (no covariates): 0.03204 PGS AUROC (no covariates): 0.63583 [0.42385, 0.84781] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009226 | PGS001349 (GBE_HC807) |
PSS004634| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE alzheimer's disease | — | AUROC: 0.86841 [0.82079, 0.91602] | R²: 0.16057 Incremental AUROC (full-covars): 0.03323 PGS R2 (no covariates): 0.05188 PGS AUROC (no covariates): 0.67961 [0.58969, 0.76952] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009227 | PGS001349 (GBE_HC807) |
PSS004635| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE alzheimer's disease | — | AUROC: 0.9136 [0.8364, 0.9908] | R²: 0.24293 Incremental AUROC (full-covars): 0.00891 PGS R2 (no covariates): 0.01019 PGS AUROC (no covariates): 0.53145 [0.34417, 0.71873] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009228 | PGS001349 (GBE_HC807) |
PSS004636| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE alzheimer's disease | — | AUROC: 0.8666 [0.84246, 0.89075] | R²: 0.15418 Incremental AUROC (full-covars): 0.04665 PGS R2 (no covariates): 0.05271 PGS AUROC (no covariates): 0.71238 [0.66844, 0.75632] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009238 | PGS001775 (PRS39_AD) |
PSS007663| European Ancestry| 532 individuals |
PGP000255 | Ebenau JL et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Other dementia (excluding all-type dementia and Alzheimer's disease) | HR: 0.5 [0.3, 0.9] | — | — | Age, sex, population substructure, Mini-Mental State Examination (predictor: APOE ε4 allele or normalized PRS, outcome: clinical progression to dementia) | — |
| PPM009237 | PGS001775 (PRS39_AD) |
PSS007663| European Ancestry| 532 individuals |
PGP000255 | Ebenau JL et al. Alzheimers Dement (Amst) (2021) |
Reported Trait: Alzheimer's disease dementia | HR: 1.7 [1.1, 2.8] | — | — | Age, sex, population substructure, Mini-Mental State Examination (predictor: APOE ε4 allele or normalized PRS, outcome: clinical progression to dementia) | — |
| PPM009509 | PGS001827 (portability-PLR_290.1) |
PSS009297| European Ancestry| 19,618 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0455 [0.0315, 0.0595] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009510 | PGS001827 (portability-PLR_290.1) |
PSS009071| European Ancestry| 4,070 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.025 [-0.0058, 0.0558] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009511 | PGS001827 (portability-PLR_290.1) |
PSS008625| European Ancestry| 6,562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0324 [0.0081, 0.0565] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009512 | PGS001827 (portability-PLR_290.1) |
PSS008399| Greater Middle Eastern Ancestry| 1,186 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0695 [0.0122, 0.1264] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009513 | PGS001827 (portability-PLR_290.1) |
PSS008179| South Asian Ancestry| 6,222 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.046 [0.0211, 0.0708] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009514 | PGS001827 (portability-PLR_290.1) |
PSS007964| East Asian Ancestry| 1,802 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0477 [0.0013, 0.094] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009515 | PGS001827 (portability-PLR_290.1) |
PSS007745| African Ancestry| 2,441 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0445 [0.0047, 0.0842] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009516 | PGS001827 (portability-PLR_290.1) |
PSS008849| African Ancestry| 3,852 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0522 [0.0206, 0.0837] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009517 | PGS001828 (portability-PLR_290.11) |
PSS009298| European Ancestry| 19,563 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | — | — | Partial Correlation (partial-r): 0.0482 [0.0342, 0.0622] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009519 | PGS001828 (portability-PLR_290.11) |
PSS008626| European Ancestry| 6,544 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | — | — | Partial Correlation (partial-r): 0.0354 [0.0111, 0.0596] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009520 | PGS001828 (portability-PLR_290.11) |
PSS008400| Greater Middle Eastern Ancestry| 1,183 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | — | — | Partial Correlation (partial-r): 0.0684 [0.011, 0.1254] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009521 | PGS001828 (portability-PLR_290.11) |
PSS008180| South Asian Ancestry| 6,205 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | — | — | Partial Correlation (partial-r): 0.0283 [0.0034, 0.0532] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009522 | PGS001828 (portability-PLR_290.11) |
PSS007965| East Asian Ancestry| 1,802 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | — | — | Partial Correlation (partial-r): 0.045 [-0.0015, 0.0912] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009523 | PGS001828 (portability-PLR_290.11) |
PSS007746| African Ancestry| 2,429 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | — | — | Partial Correlation (partial-r): 0.0414 [0.0015, 0.0812] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009524 | PGS001828 (portability-PLR_290.11) |
PSS008850| African Ancestry| 3,836 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | — | — | Partial Correlation (partial-r): 0.0338 [0.002, 0.0654] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009518 | PGS001828 (portability-PLR_290.11) |
PSS009072| European Ancestry| 4,062 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | — | — | Partial Correlation (partial-r): -0.0098 [-0.0406, 0.021] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009528 | PGS001829 (portability-PLR_296.2) |
PSS008401| Greater Middle Eastern Ancestry| 1,055 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0527 [-0.0082, 0.1133] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009529 | PGS001829 (portability-PLR_296.2) |
PSS008181| South Asian Ancestry| 5,870 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): -0.0051 [-0.0307, 0.0205] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009531 | PGS001829 (portability-PLR_296.2) |
PSS007747| African Ancestry| 2,272 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): -0.0294 [-0.0706, 0.0119] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009532 | PGS001829 (portability-PLR_296.2) |
PSS008851| African Ancestry| 3,678 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0034 [-0.029, 0.0358] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009525 | PGS001829 (portability-PLR_296.2) |
PSS009299| European Ancestry| 17,764 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0323 [0.0176, 0.047] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009526 | PGS001829 (portability-PLR_296.2) |
PSS009073| European Ancestry| 3,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0074 [-0.0248, 0.0396] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009527 | PGS001829 (portability-PLR_296.2) |
PSS008627| European Ancestry| 5,989 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.027 [0.0017, 0.0524] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009530 | PGS001829 (portability-PLR_296.2) |
PSS007966| East Asian Ancestry| 1,742 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0274 [-0.0199, 0.0745] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009533 | PGS001830 (portability-PLR_318) |
PSS009300| European Ancestry| 19,400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0557 [0.0416, 0.0697] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009534 | PGS001830 (portability-PLR_318) |
PSS009074| European Ancestry| 4,022 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0092 [-0.0218, 0.0401] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009535 | PGS001830 (portability-PLR_318) |
PSS008628| European Ancestry| 6,548 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0603 [0.0361, 0.0845] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009536 | PGS001830 (portability-PLR_318) |
PSS008402| Greater Middle Eastern Ancestry| 1,180 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0076 [-0.05, 0.0651] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009537 | PGS001830 (portability-PLR_318) |
PSS008182| South Asian Ancestry| 6,249 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0361 [0.0113, 0.0609] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009538 | PGS001830 (portability-PLR_318) |
PSS007967| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0404 [-0.0061, 0.0867] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009539 | PGS001830 (portability-PLR_318) |
PSS007748| African Ancestry| 2,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): -0.0084 [-0.0482, 0.0314] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009540 | PGS001830 (portability-PLR_318) |
PSS008852| African Ancestry| 3,876 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0032 [-0.0284, 0.0347] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010331 | PGS001932 (portability-PLR_insomnia) |
PSS009419| European Ancestry| 19,978 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.1248 [0.1111, 0.1384] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010332 | PGS001932 (portability-PLR_insomnia) |
PSS009193| European Ancestry| 4,116 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.1003 [0.0699, 0.1305] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010333 | PGS001932 (portability-PLR_insomnia) |
PSS008747| European Ancestry| 6,626 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.1093 [0.0854, 0.133] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010334 | PGS001932 (portability-PLR_insomnia) |
PSS008521| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0776 [0.0195, 0.1353] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010335 | PGS001932 (portability-PLR_insomnia) |
PSS008299| South Asian Ancestry| 6,199 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0768 [0.052, 0.1015] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010337 | PGS001932 (portability-PLR_insomnia) |
PSS007863| African Ancestry| 2,460 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0475 [0.0078, 0.087] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010338 | PGS001932 (portability-PLR_insomnia) |
PSS008967| African Ancestry| 3,863 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.033 [0.0013, 0.0645] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010336 | PGS001932 (portability-PLR_insomnia) |
PSS008076| East Asian Ancestry| 1,788 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0473 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010835 | PGS001995 (portability-PLR_narcolepsy) |
PSS009478| European Ancestry| 19,922 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0959 [0.0822, 0.1097] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010836 | PGS001995 (portability-PLR_narcolepsy) |
PSS009252| European Ancestry| 4,057 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0898 [0.0591, 0.1203] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010837 | PGS001995 (portability-PLR_narcolepsy) |
PSS008806| European Ancestry| 6,571 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0631 [0.039, 0.0872] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010838 | PGS001995 (portability-PLR_narcolepsy) |
PSS008580| Greater Middle Eastern Ancestry| 1,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0622 [0.002, 0.1221] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010839 | PGS001995 (portability-PLR_narcolepsy) |
PSS008358| South Asian Ancestry| 6,001 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0739 [0.0487, 0.0991] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010840 | PGS001995 (portability-PLR_narcolepsy) |
PSS008135| East Asian Ancestry| 1,752 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0367 [-0.0104, 0.0837] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010841 | PGS001995 (portability-PLR_narcolepsy) |
PSS007922| African Ancestry| 2,395 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0267 [-0.0135, 0.0668] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010842 | PGS001995 (portability-PLR_narcolepsy) |
PSS009026| African Ancestry| 3,750 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0356 [0.0036, 0.0677] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011147 | PGS002035 (portability-ldpred2_290.1) |
PSS009297| European Ancestry| 19,618 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0425 [0.0285, 0.0564] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011148 | PGS002035 (portability-ldpred2_290.1) |
PSS009071| European Ancestry| 4,070 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0206 [-0.0102, 0.0513] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011149 | PGS002035 (portability-ldpred2_290.1) |
PSS008625| European Ancestry| 6,562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0343 [0.0101, 0.0585] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011150 | PGS002035 (portability-ldpred2_290.1) |
PSS008399| Greater Middle Eastern Ancestry| 1,186 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0658 [0.0084, 0.1227] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011151 | PGS002035 (portability-ldpred2_290.1) |
PSS008179| South Asian Ancestry| 6,222 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0453 [0.0205, 0.0701] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011152 | PGS002035 (portability-ldpred2_290.1) |
PSS007964| East Asian Ancestry| 1,802 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.0494 [0.003, 0.0956] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011153 | PGS002035 (portability-ldpred2_290.1) |
PSS007745| African Ancestry| 2,441 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.044 [0.0042, 0.0837] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011154 | PGS002035 (portability-ldpred2_290.1) |
PSS008849| African Ancestry| 3,852 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Dementias | — | — | Partial Correlation (partial-r): 0.04 [0.0083, 0.0715] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011155 | PGS002036 (portability-ldpred2_296.2) |
PSS009299| European Ancestry| 17,764 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0556 [0.041, 0.0703] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011156 | PGS002036 (portability-ldpred2_296.2) |
PSS009073| European Ancestry| 3,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0583 [0.0261, 0.0903] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011158 | PGS002036 (portability-ldpred2_296.2) |
PSS008401| Greater Middle Eastern Ancestry| 1,055 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0239 [-0.0371, 0.0847] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011159 | PGS002036 (portability-ldpred2_296.2) |
PSS008181| South Asian Ancestry| 5,870 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0224 [-0.0033, 0.048] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011160 | PGS002036 (portability-ldpred2_296.2) |
PSS007966| East Asian Ancestry| 1,742 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0549 [0.0077, 0.1019] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011161 | PGS002036 (portability-ldpred2_296.2) |
PSS007747| African Ancestry| 2,272 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0029 [-0.0384, 0.0442] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011162 | PGS002036 (portability-ldpred2_296.2) |
PSS008851| African Ancestry| 3,678 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0178 [-0.0147, 0.0501] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011157 | PGS002036 (portability-ldpred2_296.2) |
PSS008627| European Ancestry| 5,989 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Depression | — | — | Partial Correlation (partial-r): 0.0415 [0.0162, 0.0668] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011163 | PGS002037 (portability-ldpred2_318) |
PSS009300| European Ancestry| 19,400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0741 [0.0601, 0.0881] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011164 | PGS002037 (portability-ldpred2_318) |
PSS009074| European Ancestry| 4,022 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0253 [-0.0056, 0.0563] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011166 | PGS002037 (portability-ldpred2_318) |
PSS008402| Greater Middle Eastern Ancestry| 1,180 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.043 [-0.0146, 0.1003] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011167 | PGS002037 (portability-ldpred2_318) |
PSS008182| South Asian Ancestry| 6,249 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0598 [0.035, 0.0845] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011168 | PGS002037 (portability-ldpred2_318) |
PSS007967| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0244 [-0.0221, 0.0708] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011169 | PGS002037 (portability-ldpred2_318) |
PSS007748| African Ancestry| 2,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0244 [-0.0154, 0.0642] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011170 | PGS002037 (portability-ldpred2_318) |
PSS008852| African Ancestry| 3,876 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): -0.0199 [-0.0514, 0.0117] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011165 | PGS002037 (portability-ldpred2_318) |
PSS008628| European Ancestry| 6,548 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0812 [0.0571, 0.1053] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011640 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS009381| European Ancestry| 6,451 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.0629 [0.0385, 0.0872] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011641 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS009155| European Ancestry| 1,243 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.1194 [0.0638, 0.1743] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011642 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008709| European Ancestry| 2,260 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.0823 [0.0411, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011644 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008261| South Asian Ancestry| 814 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.0558 [-0.0138, 0.1249] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011645 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008039| East Asian Ancestry| 427 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.0486 [-0.0488, 0.1451] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011646 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS007825| African Ancestry| 372 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): -0.0014 [-0.1059, 0.1032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011647 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008929| African Ancestry| 511 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): -0.014 [-0.1023, 0.0746] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011643 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008483| Greater Middle Eastern Ancestry| 201 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.1181 [-0.0282, 0.2595] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011999 | PGS002144 (portability-ldpred2_hard_falling_asleep) |
PSS009414| European Ancestry| 2,491 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Trouble falling asleep | — | — | Partial Correlation (partial-r): 0.0646 [0.0253, 0.1038] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012000 | PGS002144 (portability-ldpred2_hard_falling_asleep) |
PSS009188| European Ancestry| 490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Trouble falling asleep | — | — | Partial Correlation (partial-r): 0.0519 [-0.0387, 0.1417] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012001 | PGS002144 (portability-ldpred2_hard_falling_asleep) |
PSS008742| European Ancestry| 898 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Trouble falling asleep | — | — | Partial Correlation (partial-r): -0.0252 [-0.0912, 0.041] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012002 | PGS002144 (portability-ldpred2_hard_falling_asleep) |
PSS008516| Greater Middle Eastern Ancestry| 75 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Trouble falling asleep | — | — | Partial Correlation (partial-r): 0.0283 [-0.2388, 0.2914] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012003 | PGS002144 (portability-ldpred2_hard_falling_asleep) |
PSS008294| South Asian Ancestry| 311 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Trouble falling asleep | — | — | Partial Correlation (partial-r): 0.062 [-0.0534, 0.1757] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012004 | PGS002144 (portability-ldpred2_hard_falling_asleep) |
PSS008071| East Asian Ancestry| 147 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Trouble falling asleep | — | — | Partial Correlation (partial-r): 0.0992 [-0.0763, 0.2688] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012005 | PGS002144 (portability-ldpred2_hard_falling_asleep) |
PSS007858| African Ancestry| 149 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Trouble falling asleep | — | — | Partial Correlation (partial-r): -0.0892 [-0.258, 0.085] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012006 | PGS002144 (portability-ldpred2_hard_falling_asleep) |
PSS008962| African Ancestry| 151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Trouble falling asleep | — | — | Partial Correlation (partial-r): -0.0423 [-0.2123, 0.1301] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012040 | PGS002149 (portability-ldpred2_insomnia) |
PSS009193| European Ancestry| 4,116 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.1208 [0.0905, 0.1508] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012039 | PGS002149 (portability-ldpred2_insomnia) |
PSS009419| European Ancestry| 19,978 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.1411 [0.1275, 0.1547] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012041 | PGS002149 (portability-ldpred2_insomnia) |
PSS008747| European Ancestry| 6,626 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.1253 [0.1015, 0.149] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012042 | PGS002149 (portability-ldpred2_insomnia) |
PSS008521| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0852 [0.0271, 0.1427] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012043 | PGS002149 (portability-ldpred2_insomnia) |
PSS008299| South Asian Ancestry| 6,199 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0985 [0.0737, 0.1231] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012044 | PGS002149 (portability-ldpred2_insomnia) |
PSS008076| East Asian Ancestry| 1,788 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0345 [-0.0122, 0.081] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012045 | PGS002149 (portability-ldpred2_insomnia) |
PSS007863| African Ancestry| 2,460 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0283 [-0.0114, 0.0679] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012046 | PGS002149 (portability-ldpred2_insomnia) |
PSS008967| African Ancestry| 3,863 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sleeplessness / insomnia | — | — | Partial Correlation (partial-r): 0.0314 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012543 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS009478| European Ancestry| 19,922 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.1104 [0.0966, 0.1241] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012544 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS009252| European Ancestry| 4,057 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0922 [0.0616, 0.1227] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012545 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS008806| European Ancestry| 6,571 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0802 [0.0561, 0.1042] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012546 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS008580| Greater Middle Eastern Ancestry| 1,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0377 [-0.0227, 0.0977] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012547 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS008358| South Asian Ancestry| 6,001 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0784 [0.0531, 0.1035] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012548 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS008135| East Asian Ancestry| 1,752 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0407 [-0.0064, 0.0876] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012549 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS007922| African Ancestry| 2,395 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.05 [0.0098, 0.0901] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012550 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS009026| African Ancestry| 3,750 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0511 [0.019, 0.0831] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012797 | PGS002249 (AD_PRS_0.5) |
PSS009559| European Ancestry| 196,383 individuals |
PGP000276 | Lourida I et al. JAMA (2019) |
Reported Trait: Incident dementia | — | — | Hazard Ratio (HR, high vs. low genetic risk): 1.91 [1.64, 2.23] | Age, sex, education, socioeconomic status, relatedness, number of alleles, weighted lifestyle categories | — |
| PPM012798 | PGS002249 (AD_PRS_0.5) |
PSS009559| European Ancestry| 196,383 individuals |
PGP000276 | Lourida I et al. JAMA (2019) |
Reported Trait: Incident dementia in individuals with high genetic risk | — | — | Incidence (%): 1.23 [1.13, 1.35] Incidence (%, individuals with unfavourable lifestyle): 1.78 [1.38, 2.28] Incidence (%, individuals with favourable lifestyle): 1.13 [1.01, 1.26] |
— | — |
| PPM020316 | PGS002249 (AD_PRS_0.5) |
PSS011330| European Ancestry| 196,368 individuals |
PGP000543 | Klee M et al. Am J Prev Med (2023) |Ext. |
Reported Trait: Incident dementia with area-level socioeconomic deprivation | — | — | Hazard ratio (HR, high deprivation and PRS in top quintile vs. low-moderate deprivation and PRS in bottom quintile): 2.31 [1.84, 2.91] | 20 first PCs, third-degree relatedness, number of alleles used to compute PRS, age, sex, education, marital status, healthy lifestyle, depressive symptoms in the last 2 weeks, individual-level deprivation | — |
| PPM020317 | PGS002249 (AD_PRS_0.5) |
PSS011330| European Ancestry| 196,368 individuals |
PGP000543 | Klee M et al. Am J Prev Med (2023) |Ext. |
Reported Trait: Incident dementia with individual-level socioeconomic deprivation | — | — | Hazard ratio (HR, high deprivation and PRS in top quintile vs. low-moderate deprivation and PRS in bottom quintile): 4.06 [2.63, 6.26] | 20 first PCs, third-degree relatedness, number of alleles used to compute PRS, age, sex, education, marital status, healthy lifestyle, depressive symptoms in the last 2 weeks, area-level deprivation | — |
| PPM020431 | PGS002249 (AD_PRS_0.5) |
PSS011359| European Ancestry| 60,298 individuals |
PGP000556 | Shannon OM et al. BMC Med (2023) |Ext. |
Reported Trait: Dementia | — | — | Hazard ratio (HR, top vs bottom PRS quintile): 1.224 [1.102, 1.36] | — | — |
| PPM020432 | PGS002249 (AD_PRS_0.5) |
PSS011359| European Ancestry| 60,298 individuals |
PGP000556 | Shannon OM et al. BMC Med (2023) |Ext. |
Reported Trait: Dementia x MedDiet adherence (MEDAS score) interaction | HR: 1.042 [1.003, 1.082] | — | — | — | — |
| PPM012966 | PGS002280 (GRS83_AD) |
PSS009635| European Ancestry| 17,545 individuals |
PGP000309 | Bellenguez C et al. Nat Genet (2022) |
Reported Trait: Conversion to Alzheimer disease | HR: 1.076 [1.064, 1.088] | — | Hazard Ratio (HR; highest vs. lowest decile): 1.93 [1.75, 2.13] | Age, sex, number of APOE-ε4 and APOE-ε2 alleles and genetic principal components | Fixed-effect meta-analysis |
| PPM012967 | PGS002280 (GRS83_AD) |
PSS009634| European Ancestry| 4,114 individuals |
PGP000309 | Bellenguez C et al. Nat Genet (2022) |
Reported Trait: Conversion to Alzheimer disease (in mild cognitive impairment) | HR: 1.056 [1.04, 1.072] | — | Hazard Ratio (HR; highest vs. lowest decile): 1.63 [1.42, 1.87] | Age, sex, number of APOE-ε4 and APOE-ε2 alleles and genetic principal components | Fixed-effect meta-analysis |
| PPM012968 | PGS002280 (GRS83_AD) |
PSS009635| European Ancestry| 17,545 individuals |
PGP000309 | Bellenguez C et al. Nat Genet (2022) |
Reported Trait: Conversion to Alzheimer disease within 5 years | — | — | NRI (net reclassification improvement): 0.248 [0.159, 0.336] Delta C-index: 0.002 [0.0004, 0.004] |
Age, sex, number of APOE-ε4 and APOE-ε2 alleles and genetic principal components | Fixed-effect meta-analysis |
| PPM012969 | PGS002280 (GRS83_AD) |
PSS009635| European Ancestry| 17,545 individuals |
PGP000309 | Bellenguez C et al. Nat Genet (2022) |
Reported Trait: Conversion to Alzheimer disease within 3 years (in mild cognitive impairment) | — | — | NRI (net reclassification improvement): 0.232 [0.14, 0.325] Delta C-index: 0.007 [0.001, 0.012] |
Age, sex, number of APOE-ε4 and APOE-ε2 alleles and genetic principal components | Fixed-effect meta-analysis |
| PPM022295 | PGS002280 (GRS83_AD) |
PSS011907| European Ancestry| 3,285 individuals |
PGP000698 | Gorijala P et al. Alzheimers Dement (2023) |Ext. |
Reported Trait: Sporadic early-onset Alzheimer's disease | — | — | Odds ratio (OR, high vs low PGS tertile): 2.56 [1.95, 3.39] | Sex | — |
| PPM022296 | PGS002280 (GRS83_AD) |
PSS011906| European Ancestry| 4,303 individuals |
PGP000698 | Gorijala P et al. Alzheimers Dement (2023) |Ext. |
Reported Trait: Familial late-onset Alzheimer's disease | — | — | Odds ratio (OR, high vs low PGS tertile): 2.31 [1.97, 2.72] | Sex | — |
| PPM022297 | PGS002280 (GRS83_AD) |
PSS011908| European Ancestry| 5,149 individuals |
PGP000698 | Gorijala P et al. Alzheimers Dement (2023) |Ext. |
Reported Trait: Sporadic late-onset Alzheimer's disease | — | — | Odds ratio (OR, high vs low PGS tertile): 1.67 [1.46, 1.91] | Sex | — |
| PPM012991 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Pairs matching (short-term memory and attention) time to complete in person round 1 x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 5.3 | — | — |
| PPM012992 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Pairs matching (short-term memory and attention) no. of incorrect in person round 1 x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 4.4 | — | — |
| PPM012993 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Pairs matching (short-term memory and attention) time to complete online round 1 x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 3.5 | — | — |
| PPM012994 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Pairs matching (short-term memory and attention) time to complete in person round 2 x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 2.5 | — | — |
| PPM012995 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Numeric memory (short-term memory and attention) no. of correct online x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 8.8 | — | — |
| PPM012996 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Symbol digit substitution (processing speed) no. of correct in person x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 5.8 | — | — |
| PPM012997 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Symbol digit substitution (processing speed) no. attempted in person x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 5.7 | — | — |
| PPM012998 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Symbol digit substitution (processing speed) time to complete 10 substitutions online x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 4.5 | — | — |
| PPM012999 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Symbol digit substitution (processing speed) no. of correct online x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 2.4 | — | — |
| PPM013000 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Symbol digit substitution (processing speed) no. attempted online x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 2.0 | — | — |
| PPM012988 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Pairs matching (short-term memory and attention) no. of correct online round 1 x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 11.5 | — | — |
| PPM012989 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Pairs matching (short-term memory and attention) no. of correct in person round 1 x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 7.9 | — | — |
| PPM012990 | PGS002289 (GRS23_AD) |
PSS009642| European Ancestry| 497,087 individuals |
PGP000316 | Zimmerman SC et al. JAMA Netw Open (2022) |
Reported Trait: Pairs matching (short-term memory and attention) no. of correct in person round 2 x age interaction | — | — | Difference in mean cognition per decacde increase in age per 1-SD higher GRS (%): 9.4 | — | — |
| PPM014809 | PGS002731 (oA-PRS) |
PSS009897| Ancestry Not Reported| 228 individuals |
PGP000339 | Xicota L et al. Neurology (2022) |
Reported Trait: Amyloid burden | OR: 3.38 [1.02, 11.63] | — | — | — | — |
| PPM014810 | PGS002731 (oA-PRS) |
PSS009897| Ancestry Not Reported| 228 individuals |
PGP000339 | Xicota L et al. Neurology (2022) |
Reported Trait: Amyloid burden in E4 carriers | OR: 44.94 [3.03, 1277.0] | — | — | — | — |
| PPM014841 | PGS002738 (PRS_AUD) |
PSS009911| European Ancestry| 7,900 individuals |
PGP000345 | Lai D et al. Alcohol Clin Exp Res (2022) |
Reported Trait: Alcohol use disorder | β: 3.17 (1.87) | — | Odds Ratio (OR top 10% vs rest): 1.96 [1.54, 2.51] | — | — |
| PPM014839 | PGS002738 (PRS_AUD) |
PSS009910| European Ancestry| 2,722 individuals |
PGP000345 | Lai D et al. Alcohol Clin Exp Res (2022) |
Reported Trait: Alcohol use disorder (AUD) in individuals with unknown family history of AUD | β: 2.91 (0.38) | — | Odds Ratio (OR top 10% vs rest): 1.5 [0.98, 2.29] | — | — |
| PPM014838 | PGS002738 (PRS_AUD) |
PSS009909| European Ancestry| 4,842 individuals |
PGP000345 | Lai D et al. Alcohol Clin Exp Res (2022) |
Reported Trait: Alcohol use disorder (AUD) in individuals with family history of AUD | β: 2.43 (0.6) | — | Odds Ratio (OR top 10% vs rest): 1.86 [1.35, 2.56] | — | — |
| PPM014840 | PGS002738 (PRS_AUD) |
PSS009908| European Ancestry| 336 individuals |
PGP000345 | Lai D et al. Alcohol Clin Exp Res (2022) |
Reported Trait: Alcohol use disorder (AUD) in individuals without family history of AUD | β: 2.64 (0.47) | — | Odds Ratio (OR top 10% vs rest): 0.45 [0.12, 1.69] | — | — |
| PPM014842 | PGS002739 (PRS_gene) |
PSS009912| African Ancestry| 6,315 individuals |
PGP000346 | Lai D et al. Transl Psychiatry (2022) |
Reported Trait: Alcohol use disorder | β: 0.17 (0.03) | — | Odds Ratio (OR top 10% vs rest): 1.76 [1.32, 2.34] | — | — |
| PPM014920 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: Specific internalizing (at baseline) | β: -0.06 (0.02) | — | — | — | — |
| PPM014921 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: Specific conduct problem (1-year follow-up) | β: 0.09 (0.02) | — | — | — | — |
| PPM014922 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: Specific ADHD (1-year follow-up) | β: 0.11 (0.03) | — | — | — | — |
| PPM014924 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: UPPS Impulsive Behavior Scale (Positive urgency) | β: 0.046 (0.016) | — | — | Age, sex, and the first 10 principal components of population structure | — |
| PPM014925 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: Latent executive functioning | β: -0.042 | — | — | Age, sex, and the first 10 principal components of population structure | — |
| PPM014919 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: General factor of psychological problems (1-year follow-up) | β: 0.07 (0.02) | — | — | — | — |
| PPM014923 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: UPPS Impulsive Behavior Scale (Low perseverance) | β: 0.043 (0.017) | — | — | Age, sex, and the first 10 principal components of population structure | — |
| PPM014953 | PGS002753 (Alzheimer_s_disease_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Alzheimer's disease | OR: 1.64 [1.5, 1.79] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM014959 | PGS002759 (Depression_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Depression | OR: 1.26 [1.22, 1.3] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM015033 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00016 | age, PCs1-3 | — |
| PPM015034 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00116 | age, PCs1-3 | — |
| PPM014992 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 0.00015 | age, PCs1-3 | — |
| PPM015043 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00024 | age, PCs1-3 | — |
| PPM015364 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Corticospinal tract R | — | — | partial R²: 0.00123 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015035 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 0.00024 | age, PCs1-3 | — |
| PPM015036 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00025 | age, PCs1-3 | — |
| PPM015037 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 0.00011 | age, PCs1-3 | — |
| PPM015038 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00012 | age, PCs1-3 | — |
| PPM015039 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 6.77e-06 | age, PCs1-3 | — |
| PPM015040 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.0019 | age, PCs1-3 | — |
| PPM014993 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 0.00085 | age, PCs1-3 | — |
| PPM014994 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 4.36e-07 | age, PCs1-3 | — |
| PPM014995 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00032 | age, PCs1-3 | — |
| PPM014996 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.00093 | age, PCs1-3 | — |
| PPM014997 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 0.00041 | age, PCs1-3 | — |
| PPM014998 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00028 | age, PCs1-3 | — |
| PPM014999 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 0.00048 | age, PCs1-3 | — |
| PPM015000 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00026 | age, PCs1-3 | — |
| PPM015001 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00046 | age, PCs1-3 | — |
| PPM015002 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00056 | age, PCs1-3 | — |
| PPM015003 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00089 | age, PCs1-3 | — |
| PPM015005 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00021 | age, PCs1-3 | — |
| PPM015006 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 0.00081 | age, PCs1-3 | — |
| PPM015007 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00021 | age, PCs1-3 | — |
| PPM015008 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 0.00039 | age, PCs1-3 | — |
| PPM015009 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.00038 | age, PCs1-3 | — |
| PPM015010 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 8e-05 | age, PCs1-3 | — |
| PPM015011 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00088 | age, PCs1-3 | — |
| PPM015013 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 0.00179 | age, PCs1-3 | — |
| PPM015014 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00287 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015015 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 0.0039 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015016 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 0.00279 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015017 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00062 | age, PCs1-3 | — |
| PPM015018 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.0027 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015019 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00502 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015020 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 0.00661 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015021 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00806 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015022 | PGS002785 (SCZ_SDPR) |
PSS009953| European Ancestry| 68,614 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00398 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015023 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 8e-05 | age, PCs1-3 | — |
| PPM015024 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 4.06e-06 | age, PCs1-3 | — |
| PPM015025 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00087 | age, PCs1-3 | — |
| PPM015026 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 7e-05 | age, PCs1-3 | — |
| PPM015027 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.00053 | age, PCs1-3 | — |
| PPM015044 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 0.00017 | age, PCs1-3 | — |
| PPM015045 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00411 | age, PCs1-3 | — |
| PPM015046 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 0.00034 | age, PCs1-3 | — |
| PPM015047 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 0.00019 | age, PCs1-3 | — |
| PPM015048 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00024 | age, PCs1-3 | — |
| PPM015049 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.0001 | age, PCs1-3 | — |
| PPM015050 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00146 | age, PCs1-3 | — |
| PPM015051 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015052 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00082 | age, PCs1-3 | — |
| PPM015365 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_61 | — | — | partial R²: 0.00131 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015366 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_103 | — | — | partial R²: 0.00146 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015367 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_109 | — | — | partial R²: 0.00191 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015368 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_130 | — | — | partial R²: 0.00179 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015369 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_132 | — | — | partial R²: 0.00116 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015370 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_149 | — | — | partial R²: 0.00186 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015371 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_184 | — | — | partial R²: 0.00137 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015372 | PGS002785 (SCZ_SDPR) |
PSS009954| European Ancestry| 11,180 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_185 | — | — | partial R²: 0.00234 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015373 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cingulate gyrus anterior division right | — | — | partial R²: 0.00074 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015374 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Middle cerebellar peduncle | — | — | partial R²: 0.00076 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015375 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior cerebellar peduncle R | — | — | partial R²: 0.00097 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015376 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior cerebellar peduncle L | — | — | partial R²: 0.00085 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015377 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cerebral peduncle R | — | — | partial R²: 0.00101 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015378 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Retrolenticular part of internal capsule R | — | — | partial R²: 0.00097 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015379 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: External capsule R | — | — | partial R²: 0.00074 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015380 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cingulum (cingulate gyrus) R | — | — | partial R²: 0.00121 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015381 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cingulum (cingulate gyrus) L | — | — | partial R²: 0.0008 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015382 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior longitudinal fasciculus R | — | — | partial R²: 0.00107 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015383 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior longitudinal fasciculus L | — | — | partial R²: 0.00105 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015384 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior fronto-occipital fasciculus R | — | — | partial R²: 0.00085 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015385 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cingulum (cingulate gyrus) R | — | — | partial R²: 0.00137 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015386 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Inferior fronto-occipital fasciculus R | — | — | partial R²: 0.00072 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015387 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_11 | — | — | partial R²: 0.00121 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015388 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_16 | — | — | partial R²: 0.00091 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015389 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_24 | — | — | partial R²: 0.00139 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015390 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_36 | — | — | partial R²: 0.00078 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015391 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_55 | — | — | partial R²: 0.0009 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015392 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_66 | — | — | partial R²: 0.00094 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015393 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_68 | — | — | partial R²: 0.00095 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015395 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_83 | — | — | partial R²: 0.00119 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015396 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_90 | — | — | partial R²: 0.00092 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015397 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_91 | — | — | partial R²: 0.00087 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015398 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_123 | — | — | partial R²: 0.00084 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015399 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_136 | — | — | partial R²: 0.00072 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015400 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_137 | — | — | partial R²: 0.0009 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015401 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_142 | — | — | partial R²: 0.00098 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015402 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_161 | — | — | partial R²: 0.00098 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015403 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_175 | — | — | partial R²: 0.00071 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015404 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_189 | — | — | partial R²: 0.00126 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015405 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_191 | — | — | partial R²: 0.0033 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015406 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_199 | — | — | partial R²: 0.00085 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015028 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 0.00043 | age, PCs1-3 | — |
| PPM015029 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 8e-05 | age, PCs1-3 | — |
| PPM015030 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 2e-05 | age, PCs1-3 | — |
| PPM015031 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00023 | age, PCs1-3 | — |
| PPM015032 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015041 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 1.46e-06 | age, PCs1-3 | — |
| PPM015004 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 6e-05 | age, PCs1-3 | — |
| PPM015012 | PGS002785 (SCZ_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00682 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015042 | PGS002785 (SCZ_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00038 | age, PCs1-3 | — |
| PPM015053 | PGS002785 (SCZ_SDPR) |
PSS009951| European Ancestry| 78,561 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00399 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015394 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_69 | — | — | partial R²: 0.00078 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015407 | PGS002785 (SCZ_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_206 | — | — | partial R²: 0.00124 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015111 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.00032 | age, PCs1-3 | — |
| PPM015112 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 6e-05 | age, PCs1-3 | — |
| PPM015408 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Posterior corona radiata R | — | — | partial R²: 0.00088 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015054 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 1e-05 | age, PCs1-3 | — |
| PPM015055 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 5e-05 | age, PCs1-3 | — |
| PPM015056 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00037 | age, PCs1-3 | — |
| PPM015057 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00045 | age, PCs1-3 | — |
| PPM015058 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 1.31e-06 | age, PCs1-3 | — |
| PPM015059 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015060 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00029 | age, PCs1-3 | — |
| PPM015061 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 9e-05 | age, PCs1-3 | — |
| PPM015062 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015063 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00015 | age, PCs1-3 | — |
| PPM015064 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015065 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00012 | age, PCs1-3 | — |
| PPM015066 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 2e-05 | age, PCs1-3 | — |
| PPM015067 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00028 | age, PCs1-3 | — |
| PPM015068 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015070 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015071 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.00037 | age, PCs1-3 | — |
| PPM015072 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.0005 | age, PCs1-3 | — |
| PPM015073 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015074 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00014 | age, PCs1-3 | — |
| PPM015075 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 7e-05 | age, PCs1-3 | — |
| PPM015076 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00061 | age, PCs1-3 | — |
| PPM015077 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 0.00037 | age, PCs1-3 | — |
| PPM015078 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 0.00251 | age, PCs1-3 | — |
| PPM015079 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00023 | age, PCs1-3 | — |
| PPM015080 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015082 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 7.85e-06 | age, PCs1-3 | — |
| PPM015083 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00087 | age, PCs1-3 | — |
| PPM015084 | PGS002786 (BD_SDPR) |
PSS009953| European Ancestry| 68,614 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 7e-05 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015085 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 0.00119 | age, PCs1-3 | — |
| PPM015086 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 0.00051 | age, PCs1-3 | — |
| PPM015087 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00027 | age, PCs1-3 | — |
| PPM015088 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00079 | age, PCs1-3 | — |
| PPM015089 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.0005 | age, PCs1-3 | — |
| PPM015090 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 7e-05 | age, PCs1-3 | — |
| PPM015091 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00077 | age, PCs1-3 | — |
| PPM015093 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00101 | age, PCs1-3 | — |
| PPM015094 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00034 | age, PCs1-3 | — |
| PPM015095 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00092 | age, PCs1-3 | — |
| PPM015096 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00196 | age, PCs1-3 | — |
| PPM015097 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 0.00198 | age, PCs1-3 | — |
| PPM015098 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 1.76e-06 | age, PCs1-3 | — |
| PPM015099 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 7.78e-07 | age, PCs1-3 | — |
| PPM015100 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00022 | age, PCs1-3 | — |
| PPM015101 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 0.00032 | age, PCs1-3 | — |
| PPM015102 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.00067 | age, PCs1-3 | — |
| PPM015104 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00101 | age, PCs1-3 | — |
| PPM015105 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00186 | age, PCs1-3 | — |
| PPM015106 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 8.61e-07 | age, PCs1-3 | — |
| PPM015107 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 2e-05 | age, PCs1-3 | — |
| PPM015108 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 6e-05 | age, PCs1-3 | — |
| PPM015109 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015113 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 0.00135 | age, PCs1-3 | — |
| PPM015114 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00016 | age, PCs1-3 | — |
| PPM015409 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cingulum (cingulate gyrus) R | — | — | partial R²: 0.00095 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015410 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Splenium of corpus callosum | — | — | partial R²: 0.00099 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015411 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Sagittal stratum | — | — | partial R²: 0.00095 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015412 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Uncinate fasciculus L | — | — | partial R²: 0.0009 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015413 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Forceps major | — | — | partial R²: 0.00092 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015415 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Inferior longitudinal fasciculus L | — | — | partial R²: 0.00108 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015416 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Inferior longitudinal fasciculus R | — | — | partial R²: 0.00128 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015417 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Uncinate fasciculus L | — | — | partial R²: 0.00104 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015418 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Uncinate fasciculus R | — | — | partial R²: 0.00089 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015419 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_83 | — | — | partial R²: 0.00095 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015420 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_137 | — | — | partial R²: 0.00119 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015421 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_176 | — | — | partial R²: 0.00116 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015069 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 5e-05 | age, PCs1-3 | — |
| PPM015081 | PGS002786 (BD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00163 | age, PCs1-3 | — |
| PPM015092 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 0.00017 | age, PCs1-3 | — |
| PPM015103 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.0005 | age, PCs1-3 | — |
| PPM015110 | PGS002786 (BD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00037 | age, PCs1-3 | — |
| PPM015115 | PGS002786 (BD_SDPR) |
PSS009951| European Ancestry| 78,561 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 7e-05 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015414 | PGS002786 (BD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Inferior fronto-occipital fasciculus R | — | — | partial R²: 0.00105 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015116 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 3.60e-06 | age, PCs1-3 | — |
| PPM015117 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 9e-05 | age, PCs1-3 | — |
| PPM015118 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 8e-05 | age, PCs1-3 | — |
| PPM015119 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00025 | age, PCs1-3 | — |
| PPM015120 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 5e-05 | age, PCs1-3 | — |
| PPM015121 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015122 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00015 | age, PCs1-3 | — |
| PPM015123 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 1e-05 | age, PCs1-3 | — |
| PPM015124 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 7.64e-07 | age, PCs1-3 | — |
| PPM015125 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015126 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 1.57e-09 | age, PCs1-3 | — |
| PPM015127 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00019 | age, PCs1-3 | — |
| PPM015128 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 3.52e-06 | age, PCs1-3 | — |
| PPM015129 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00014 | age, PCs1-3 | — |
| PPM015130 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 2.44e-06 | age, PCs1-3 | — |
| PPM015132 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 3.41e-06 | age, PCs1-3 | — |
| PPM015133 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015134 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.00031 | age, PCs1-3 | — |
| PPM015135 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 2e-05 | age, PCs1-3 | — |
| PPM015136 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015137 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 9e-05 | age, PCs1-3 | — |
| PPM015138 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00046 | age, PCs1-3 | — |
| PPM015139 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 0.00067 | age, PCs1-3 | — |
| PPM015140 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 0.00164 | age, PCs1-3 | — |
| PPM015141 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00045 | age, PCs1-3 | — |
| PPM015142 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 2e-05 | age, PCs1-3 | — |
| PPM015144 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 5e-05 | age, PCs1-3 | — |
| PPM015145 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00115 | age, PCs1-3 | — |
| PPM015146 | PGS002787 (BD1_SDPR) |
PSS009953| European Ancestry| 68,614 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00013 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015147 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 0.00068 | age, PCs1-3 | — |
| PPM015148 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 7.61e-07 | age, PCs1-3 | — |
| PPM015149 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00059 | age, PCs1-3 | — |
| PPM015150 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00013 | age, PCs1-3 | — |
| PPM015151 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.00051 | age, PCs1-3 | — |
| PPM015152 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 2e-05 | age, PCs1-3 | — |
| PPM015153 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00053 | age, PCs1-3 | — |
| PPM015155 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00055 | age, PCs1-3 | — |
| PPM015156 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00037 | age, PCs1-3 | — |
| PPM015157 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00066 | age, PCs1-3 | — |
| PPM015158 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00275 | age, PCs1-3 | — |
| PPM015159 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 0.00081 | age, PCs1-3 | — |
| PPM015160 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00012 | age, PCs1-3 | — |
| PPM015161 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 1.13e-06 | age, PCs1-3 | — |
| PPM015162 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00032 | age, PCs1-3 | — |
| PPM015163 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 0.00024 | age, PCs1-3 | — |
| PPM015164 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.00022 | age, PCs1-3 | — |
| PPM015166 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00057 | age, PCs1-3 | — |
| PPM015167 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00079 | age, PCs1-3 | — |
| PPM015168 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 0.00021 | age, PCs1-3 | — |
| PPM015169 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00022 | age, PCs1-3 | — |
| PPM015170 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015171 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 0.00016 | age, PCs1-3 | — |
| PPM015172 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 7e-05 | age, PCs1-3 | — |
| PPM015173 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.00036 | age, PCs1-3 | — |
| PPM015174 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 5.31e-06 | age, PCs1-3 | — |
| PPM015175 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 0.00072 | age, PCs1-3 | — |
| PPM015176 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00027 | age, PCs1-3 | — |
| PPM015131 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 2.94e-06 | age, PCs1-3 | — |
| PPM015143 | PGS002787 (BD1_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00151 | age, PCs1-3 | — |
| PPM015154 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 0.00026 | age, PCs1-3 | — |
| PPM015165 | PGS002787 (BD1_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.0001 | age, PCs1-3 | — |
| PPM015177 | PGS002787 (BD1_SDPR) |
PSS009951| European Ancestry| 78,561 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00012 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015179 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015180 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00065 | age, PCs1-3 | — |
| PPM015181 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00039 | age, PCs1-3 | — |
| PPM015182 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.00024 | age, PCs1-3 | — |
| PPM015183 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 0.00092 | age, PCs1-3 | — |
| PPM015185 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 0.00217 | age, PCs1-3 | — |
| PPM015186 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00055 | age, PCs1-3 | — |
| PPM015187 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00192 | age, PCs1-3 | — |
| PPM015188 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00114 | age, PCs1-3 | — |
| PPM015189 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 2.60e-06 | age, PCs1-3 | — |
| PPM015190 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 0.00045 | age, PCs1-3 | — |
| PPM015191 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00071 | age, PCs1-3 | — |
| PPM015192 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 0.0006 | age, PCs1-3 | — |
| PPM015193 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00195 | age, PCs1-3 | — |
| PPM015194 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 0.00088 | age, PCs1-3 | — |
| PPM015196 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.00097 | age, PCs1-3 | — |
| PPM015197 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00138 | age, PCs1-3 | — |
| PPM015198 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00049 | age, PCs1-3 | — |
| PPM015199 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 0.00024 | age, PCs1-3 | — |
| PPM015200 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00036 | age, PCs1-3 | — |
| PPM015201 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 0.00014 | age, PCs1-3 | — |
| PPM015202 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 6e-05 | age, PCs1-3 | — |
| PPM015203 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00011 | age, PCs1-3 | — |
| PPM015204 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 1e-05 | age, PCs1-3 | — |
| PPM015205 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.0003 | age, PCs1-3 | — |
| PPM015206 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 6e-05 | age, PCs1-3 | — |
| PPM015207 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00026 | age, PCs1-3 | — |
| PPM015209 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 0.00163 | age, PCs1-3 | — |
| PPM015210 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 0.00156 | age, PCs1-3 | — |
| PPM015211 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00085 | age, PCs1-3 | — |
| PPM015212 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00123 | age, PCs1-3 | — |
| PPM015213 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 8e-05 | age, PCs1-3 | — |
| PPM015214 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015215 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00057 | age, PCs1-3 | — |
| PPM015216 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 5e-05 | age, PCs1-3 | — |
| PPM015217 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00197 | age, PCs1-3 | — |
| PPM015218 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00016 | age, PCs1-3 | — |
| PPM015220 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.0006 | age, PCs1-3 | — |
| PPM015221 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 0.00145 | age, PCs1-3 | — |
| PPM015222 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00071 | age, PCs1-3 | — |
| PPM015223 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015224 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015225 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015226 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.0001 | age, PCs1-3 | — |
| PPM015227 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.00125 | age, PCs1-3 | — |
| PPM015228 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00025 | age, PCs1-3 | — |
| PPM015230 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 1.91e-06 | age, PCs1-3 | — |
| PPM015231 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 3.47e-06 | age, PCs1-3 | — |
| PPM015232 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 8.67e-06 | age, PCs1-3 | — |
| PPM015233 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 9.91e-06 | age, PCs1-3 | — |
| PPM015234 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 7e-05 | age, PCs1-3 | — |
| PPM015235 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.0001 | age, PCs1-3 | — |
| PPM015236 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 3e-05 | age, PCs1-3 | — |
| PPM015237 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 7e-05 | age, PCs1-3 | — |
| PPM015238 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 3.27e-06 | age, PCs1-3 | — |
| PPM015239 | PGS002788 (BD2_SDPR) |
PSS009951| European Ancestry| 78,561 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 5.36e-06 | age, PCs1-10 | — |
| PPM015178 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 0.00052 | age, PCs1-3 | — |
| PPM015184 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00084 | age, PCs1-3 | — |
| PPM015195 | PGS002788 (BD2_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.00307 | age, PCs1-3 | — |
| PPM015208 | PGS002788 (BD2_SDPR) |
PSS009953| European Ancestry| 68,614 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 9.85e-06 | age, PCs1-10 | — |
| PPM015219 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00068 | age, PCs1-3 | — |
| PPM015229 | PGS002788 (BD2_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00035 | age, PCs1-3 | — |
| PPM015246 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00268 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015300 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00106 | age, PCs1-3 | — |
| PPM015241 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 0.00533 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015242 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00626 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015243 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00358 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015244 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.00276 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015247 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 0.00203 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015248 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00815 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015249 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00246 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015250 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00528 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015251 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00752 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015252 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 0.00657 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015253 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00516 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015254 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 0.00088 | age, PCs1-3 | — |
| PPM015255 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00172 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015256 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 0.00205 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015257 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.0067 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015258 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.00297 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015259 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00464 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015260 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00077 | age, PCs1-3 | — |
| PPM015261 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 7e-05 | age, PCs1-3 | — |
| PPM015262 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00112 | age, PCs1-3 | — |
| PPM015263 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 0.00064 | age, PCs1-3 | — |
| PPM015264 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 0.00012 | age, PCs1-3 | — |
| PPM015265 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00045 | age, PCs1-3 | — |
| PPM015266 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.00281 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015267 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00047 | age, PCs1-3 | — |
| PPM015268 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 0.00222 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015269 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00155 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015270 | PGS002789 (MDD_SDPR) |
PSS009953| European Ancestry| 68,614 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00137 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015271 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 0.00213 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015272 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 0.00201 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015273 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00469 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015274 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00414 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015275 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.00322 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015276 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 0.00218 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015277 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00165 | age, PCs1-3 | — |
| PPM015279 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00397 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015280 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00439 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015281 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00566 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015282 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00515 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015283 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 0.00335 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015284 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00266 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015285 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 0.00154 | age, PCs1-3 | — |
| PPM015286 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00642 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015287 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 0.00155 | age, PCs1-3 | — |
| PPM015288 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.00254 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015289 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.00049 | age, PCs1-3 | — |
| PPM015290 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.0055 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015291 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00143 | age, PCs1-3 | — |
| PPM015292 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 0.00019 | age, PCs1-3 | — |
| PPM015293 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00068 | age, PCs1-3 | — |
| PPM015294 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 6e-05 | age, PCs1-3 | — |
| PPM015295 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 5e-05 | age, PCs1-3 | — |
| PPM015296 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00048 | age, PCs1-3 | — |
| PPM015297 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.00014 | age, PCs1-3 | — |
| PPM015301 | PGS002789 (MDD_SDPR) |
PSS009951| European Ancestry| 78,561 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00137 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015422 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Genu of corpus callosum | — | — | partial R²: 0.00139 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015423 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Body of corpus callosum | — | — | partial R²: 0.00095 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015424 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Anterior limb of internal capsule R | — | — | partial R²: 0.00161 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015425 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Anterior limb of internal capsule L | — | — | partial R²: 0.00093 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015426 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Posterior limb of internal capsule R | — | — | partial R²: 0.0008 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015427 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Anterior corona radiata R | — | — | partial R²: 0.00087 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015428 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Anterior corona radiata L | — | — | partial R²: 0.00092 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015429 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cingulum cingulate gyrus R | — | — | partial R²: 0.00105 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015430 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior frontooccipital fasciculus R | — | — | partial R²: 0.00096 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015431 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Genu of corpus callosum | — | — | partial R²: 0.00106 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015432 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Body of corpus callosum | — | — | partial R²: 0.00123 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015433 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Anterior limb of internal capsule R | — | — | partial R²: 0.00155 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015434 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Anterior corona radiata R | — | — | partial R²: 0.00097 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015435 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Anterior corona radiata L | — | — | partial R²: 0.00097 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015436 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior corona radiata R | — | — | partial R²: 0.00146 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015437 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior corona radiata L | — | — | partial R²: 0.00099 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015438 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior longitudinal fasciculus R | — | — | partial R²: 0.00094 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015439 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior longitudinal fasciculus L | — | — | partial R²: 0.00109 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015440 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior frontooccipital fasciculus R | — | — | partial R²: 0.00081 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015441 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Anterior thalamic radiation right | — | — | partial R²: 0.00102 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015442 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Forceps minor | — | — | partial R²: 0.00115 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015443 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior longitudinal fasciculus L | — | — | partial R²: 0.00099 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015444 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Superior thalamic radiation R | — | — | partial R²: 0.00131 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015445 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_83 | — | — | partial R²: 0.00079 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015446 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_104 | — | — | partial R²: 0.00119 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015447 | PGS002789 (MDD_SDPR) |
PSS009952| European Ancestry| 10,343 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: ICA component_202 | — | — | partial R²: 0.00058 | age, headsize scaling factor, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015240 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 0.00486 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015245 | PGS002789 (MDD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 0.00211 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015278 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 0.00498 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015298 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00067 | age, PCs1-3 | — |
| PPM015299 | PGS002789 (MDD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 0.00088 | age, PCs1-3 | — |
| PPM015302 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 4.69e-07 | age, PCs1-3 | — |
| PPM015363 | PGS002790 (ASD_SDPR) |
PSS009951| European Ancestry| 78,561 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00176 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015303 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 0.00125 | age, PCs1-3 | — |
| PPM015304 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00061 | age, PCs1-3 | — |
| PPM015305 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00012 | age, PCs1-3 | — |
| PPM015306 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.00063 | age, PCs1-3 | — |
| PPM015307 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 0.0025 | age, PCs1-3 | — |
| PPM015308 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.0002 | age, PCs1-3 | — |
| PPM015309 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 0.00071 | age, PCs1-3 | — |
| PPM015310 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00037 | age, PCs1-3 | — |
| PPM015311 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00059 | age, PCs1-3 | — |
| PPM015313 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00043 | age, PCs1-3 | — |
| PPM015314 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 1.74e-06 | age, PCs1-3 | — |
| PPM015315 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00075 | age, PCs1-3 | — |
| PPM015316 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 0.00167 | age, PCs1-3 | — |
| PPM015317 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00068 | age, PCs1-3 | — |
| PPM015318 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 0.00049 | age, PCs1-3 | — |
| PPM015319 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.0033 | age, PCs1-3 | — |
| PPM015320 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.00017 | age, PCs1-3 | — |
| PPM015321 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00052 | age, PCs1-3 | — |
| PPM015323 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 0.00024 | age, PCs1-3 | — |
| PPM015324 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00119 | age, PCs1-3 | — |
| PPM015325 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 0.00056 | age, PCs1-3 | — |
| PPM015326 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 0.00012 | age, PCs1-3 | — |
| PPM015327 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00063 | age, PCs1-3 | — |
| PPM015328 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.0005 | age, PCs1-3 | — |
| PPM015329 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 4e-05 | age, PCs1-3 | — |
| PPM015330 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 0.0013 | age, PCs1-3 | — |
| PPM015331 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00017 | age, PCs1-3 | — |
| PPM015333 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (anxious/depressed) | — | — | partial R²: 0.00313 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015334 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (withdrawn) | — | — | partial R²: 0.00546 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015335 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (somatic symptoms) | — | — | partial R²: 0.00032 | age, PCs1-3 | — |
| PPM015336 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (social problems) | — | — | partial R²: 0.00287 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015337 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (thought problems) | — | — | partial R²: 0.00221 | age, PCs1-3 | — |
| PPM015338 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (attention problems) | — | — | partial R²: 0.00377 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015339 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (rule breaking) | — | — | partial R²: 0.00135 | age, PCs1-3 | — |
| PPM015340 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (aggressive behaviour) | — | — | partial R²: 0.00138 | age, PCs1-3 | — |
| PPM015341 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (internalising) | — | — | partial R²: 0.00344 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015342 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (externalising) | — | — | partial R²: 0.00156 | age, PCs1-3 | — |
| PPM015343 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00382 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015344 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 depression) | — | — | partial R²: 0.00429 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015345 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 anxety disorder) | — | — | partial R²: 0.00227 | age, PCs1-3 | — |
| PPM015346 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 somatic problem) | — | — | partial R²: 0.00025 | age, PCs1-3 | — |
| PPM015347 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 adhd) | — | — | partial R²: 0.00296 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015348 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 opppsit) | — | — | partial R²: 0.00205 | age, PCs1-3 | — |
| PPM015349 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Dsm5 conduct) | — | — | partial R²: 0.00133 | age, PCs1-3 | — |
| PPM015350 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Sluggish cognitive tempo) | — | — | partial R²: 0.00422 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015352 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (stress) | — | — | partial R²: 0.00239 | age, PCs1-3 | — |
| PPM015353 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 1e-05 | age, PCs1-3 | — |
| PPM015354 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Flanker test) | — | — | partial R²: 0.00035 | age, PCs1-3 | — |
| PPM015355 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (list sorting) | — | — | partial R²: 0.00075 | age, PCs1-3 | — |
| PPM015356 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (card sorting) | — | — | partial R²: 8e-05 | age, PCs1-3 | — |
| PPM015357 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (pattern comparison) | — | — | partial R²: 2.82e-07 | age, PCs1-3 | — |
| PPM015358 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture sequence) | — | — | partial R²: 0.00121 | age, PCs1-3 | — |
| PPM015359 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (reading) | — | — | partial R²: 0.00013 | age, PCs1-3 | — |
| PPM015360 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00021 | age, PCs1-3 | — |
| PPM015361 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Crystallized composite) | — | — | partial R²: 6e-05 | age, PCs1-3 | — |
| PPM015312 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (total problems) | — | — | partial R²: 0.00075 | age, PCs1-3 | — |
| PPM015322 | PGS002790 (ASD_SDPR) |
PSS009950| European Ancestry| 2,524 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Picture vocabulary) | — | — | partial R²: 0.00168 | age, PCs1-3 | — |
| PPM015332 | PGS002790 (ASD_SDPR) |
PSS009953| European Ancestry| 68,614 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (fluid composite) | — | — | partial R²: 0.00026 | age, PCs1-10 | the observed partial R² were higher than random R²s |
| PPM015351 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Psychiatric behavior (Obsessive compulsive disorder) | — | — | partial R²: 0.00258 | age, PCs1-3 | the observed partial R² were higher than random R²s |
| PPM015362 | PGS002790 (ASD_SDPR) |
PSS009949| European Ancestry| 2,198 individuals |
PGP000370 | Gui Y et al. Transl Psychiatry (2022) |
Reported Trait: Cognitive function (Cognitive total) | — | — | partial R²: 0.00021 | age, PCs1-3 | — |
| PPM015959 | PGS003204 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.983 [0.952, 1.014] β: -0.0174 (0.016) |
AUROC: 0.49 [0.482, 0.499] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015965 | PGS003205 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.998 [0.967, 1.03] β: -0.00225 (0.0161) |
AUROC: 0.5 [0.491, 0.509] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015961 | PGS003206 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.975 [0.945, 1.007] β: -0.0252 (0.0162) |
AUROC: 0.49 [0.48, 0.499] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015957 | PGS003207 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.975 [0.945, 1.005] β: -0.0258 (0.016) |
AUROC: 0.492 [0.484, 0.501] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015963 | PGS003208 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.016 [0.984, 1.048] β: 0.0154 (0.0161) |
AUROC: 0.505 [0.497, 0.514] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015953 | PGS003209 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.053 [1.02, 1.087] β: 0.0517 (0.0162) |
AUROC: 0.514 [0.506, 0.523] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015956 | PGS003210 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PT_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.073 [1.04, 1.108] β: 0.0708 (0.0162) |
AUROC: 0.519 [0.51, 0.528] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015954 | PGS003211 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PLINK_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.061 [1.028, 1.096] β: 0.0595 (0.0162) |
AUROC: 0.515 [0.506, 0.525] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015952 | PGS003212 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.014 [0.982, 1.046] β: 0.0135 (0.016) |
AUROC: 0.496 [0.487, 0.504] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015955 | PGS003213 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.106 [1.071, 1.142] β: 0.101 (0.0162) |
AUROC: 0.527 [0.517, 0.536] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015960 | PGS003214 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.004 [0.962, 1.047] β: 0.00364 (0.0214) |
AUROC: 0.5 [0.489, 0.513] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015966 | PGS003215 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.967 [0.928, 1.009] β: -0.0331 (0.0215) |
AUROC: 0.489 [0.477, 0.501] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015962 | PGS003216 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | β: -0.00819 (0.0214) OR: 0.992 [0.951, 1.034] |
AUROC: 0.497 [0.485, 0.509] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015958 | PGS003217 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.021 [0.98, 1.064] β: 0.0207 (0.0211) |
AUROC: 0.485 [0.475, 0.495] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015964 | PGS003218 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.003 [0.962, 1.046] β: 0.00286 (0.0214) |
AUROC: 0.5 [0.488, 0.512] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015908 | PGS003319 (ExPRSweb_Insomnia_1160_LASSOSUM_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 0.978 [0.932, 1.028] β: -0.0217 (0.025) |
AUROC: 0.498 [0.486, 0.51] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015911 | PGS003320 (ExPRSweb_Insomnia_1160_PT_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 0.977 [0.937, 1.02] β: -0.0228 (0.0218) |
AUROC: 0.494 [0.483, 0.505] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015909 | PGS003321 (ExPRSweb_Insomnia_1160_PLINK_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 0.975 [0.934, 1.017] β: -0.0258 (0.0218) |
AUROC: 0.493 [0.481, 0.505] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015907 | PGS003322 (ExPRSweb_Insomnia_1160_DBSLMM_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 0.97 [0.931, 1.01] β: -0.0309 (0.0206) |
AUROC: 0.492 [0.481, 0.504] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015910 | PGS003323 (ExPRSweb_Insomnia_1160_PRSCS_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 0.988 [0.947, 1.031] β: -0.0122 (0.0218) |
AUROC: 0.499 [0.487, 0.511] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015913 | PGS003324 (ExPRSweb_Insomnia_1200_LASSOSUM_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 1.026 [0.985, 1.069] β: 0.0254 (0.0209) |
AUROC: 0.507 [0.496, 0.518] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015916 | PGS003325 (ExPRSweb_Insomnia_1200_PT_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 1.092 [1.048, 1.137] β: 0.0876 (0.021) |
AUROC: 0.524 [0.512, 0.535] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015914 | PGS003326 (ExPRSweb_Insomnia_1200_PLINK_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 1.085 [1.041, 1.131] β: 0.0817 (0.021) |
AUROC: 0.522 [0.511, 0.534] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015912 | PGS003327 (ExPRSweb_Insomnia_1200_DBSLMM_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 1.038 [0.997, 1.081] β: 0.0375 (0.0206) |
AUROC: 0.51 [0.499, 0.521] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015915 | PGS003328 (ExPRSweb_Insomnia_1200_PRSCS_MGI_20211120) |
PSS010009| European Ancestry| 18,641 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Insomnia | OR: 1.101 [1.056, 1.147] β: 0.096 (0.021) |
AUROC: 0.524 [0.513, 0.536] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016144 | PGS003333 (MDD-PRS) |
PSS010048| European Ancestry| 34,703 individuals |
PGP000399 | Fang Y et al. Biol Psychiatry (2022) |
Reported Trait: Major Depressive Disorder | — | — | Nagelkerke pseudo-R2: 0.022 | — | — |
| PPM016153 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident Alzheimer’s Disease | — | — | Hazard ratio (HR, high vs low tertile): 1.75 [1.58, 1.93] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM016154 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident vascular dementia | — | — | Hazard ratio (HR, high vs low tertile): 1.55 [1.32, 1.82] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM016155 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident dementia without cardiometabolic diseases | — | — | Hazard ratio (HR, high vs low tertile): 1.6 [1.48, 1.73] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM016156 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident Alzheimer’s Disease without cardiometabolic diseases | — | — | Hazard ratio (HR, high vs low tertile): 1.84 [1.64, 2.07] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM016152 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident dementia | — | — | Hazard ratio (HR, high vs low tertile): 1.5 [1.41, 1.6] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM016157 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident vascular dementia without cardiometabolic diseases | — | — | Hazard ratio (HR, high vs low tertile): 1.63 [1.31, 2.03] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM016158 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident dementia with cardiometabolic diseases | — | — | Hazard ratio (HR, high vs low tertile): 2.62 [2.36, 2.91] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM016159 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident Alzheimer’s Disease with cardiometabolic diseases | — | — | Hazard ratio (HR, high vs low tertile): 2.38 [2.02, 2.81] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM016160 | PGS003334 (PRS_dementia) |
PSS010051| European Ancestry| 204,646 individuals |
PGP000402 | Chen Y et al. Arch Gerontol Geriatr (2022) |
Reported Trait: Incident vascular dementia with cardiometabolic diseases | — | — | Hazard ratio (HR, high vs low tertile): 4.45 [3.47, 5.71] | Sex, age, education levels, socioeconomic status, body mass index (BMI), smoking status, alcohol intake frequency, physical activity, diet pattern, hypertension, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and C-reactive protein (CRP), and the first 10 principal components of ancestry | — |
| PPM017064 | PGS003414 (PRS47_RBD) |
PSS010109| European Ancestry| 1,477 individuals |
PGP000427 | Krohn L et al. Nat Commun (2022) |
Reported Trait: Isolated REM sleep behavior disorder | — | AUROC: 0.614 [0.575, 0.654] | — | — | — |
| PPM017065 | PGS003414 (PRS47_RBD) |
PSS010110| European Ancestry| 1,192 individuals |
PGP000427 | Krohn L et al. Nat Commun (2022) |
Reported Trait: Probabable REM sleep behavior disorder (with Parkinson disease) | — | AUROC: 0.597 [0.56, 0.634] | — | — | — |
| PPM017066 | PGS003414 (PRS47_RBD) |
PSS010111| European Ancestry| 1,124 individuals |
PGP000427 | Krohn L et al. Nat Commun (2022) |
Reported Trait: Probabable REM sleep behavior disorder | — | AUROC: 0.548 [0.505, 0.59] | — | — | — |
| PPM017176 | PGS003440 (GRS11_nonapoeAD) |
PSS010155| Ancestry Not Reported| 117 individuals |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Reported Trait: Fluid cognition via cortical thickness in adoptees | β: 0.008 (0.005) | — | — | — | — |
| PPM017177 | PGS003440 (GRS11_nonapoeAD) |
PSS010156| Ancestry Not Reported| 4,382 individuals |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Reported Trait: Fluid cognition via cortical thickness in non-adoptees | β: 0.0001 (0.001) | — | — | — | — |
| PPM017178 | PGS003441 (GRS28_AD) |
PSS010155| Ancestry Not Reported| 117 individuals |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Reported Trait: Fluid cognition via cortical thickness in adoptees | β: 0.011 (0.006) | — | — | — | — |
| PPM017179 | PGS003441 (GRS28_AD) |
PSS010156| Ancestry Not Reported| 4,382 individuals |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Reported Trait: Fluid cognition via cortical thickness in non-adoptees | β: -0.001 (0.001) | — | — | — | — |
| PPM017180 | PGS003442 (GRS8_MD) |
PSS010155| Ancestry Not Reported| 117 individuals |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Reported Trait: Fluid cognition via average SST BOLD activation in adoptees | β: 0.064 (0.027) | — | — | — | — |
| PPM017181 | PGS003442 (GRS8_MD) |
PSS010156| Ancestry Not Reported| 4,382 individuals |
PGP000444 | Petrican R et al. Sci Rep (2023) |
Reported Trait: Fluid cognition via verage SST BOLD activation in non-adoptees | β: 0.0 (0.004) | — | — | — | — |
| PPM017318 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP | β: 0.038 (0.093) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017319 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Eosinophils count | β: 0.003 (0.002) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017320 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: FEV1/FVC ratio | β: -0.035 (0.06) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017321 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin | β: 0.156 (0.091) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017322 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c | β: 0.291 (0.122) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017323 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Hematocrit | β: 0.039 (0.031) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017324 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Hemoglobin | β: 0.014 (0.011) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017325 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B | β: 1.851 (1.169) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017326 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR | β: 0.051 (0.03) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017327 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Heart rate | β: 0.038 (0.106) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017328 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Insomnia | β: 0.015 (0.049) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017329 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: LDL | β: -0.358 (0.336) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017330 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Lymphocyte count | β: 0.002 (0.007) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017331 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Mean arterial pressure | β: 0.011 (0.102) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017333 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: RBC | β: 0.003 (0.003) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017334 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Sleep duration | β: 0.0 (0.013) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017335 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Total cholesterol | β: -0.324 (0.391) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017336 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Triglycerides | β: 0.725 (0.93) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017337 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: WBC | β: 0.006 (0.018) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017338 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio | β: 0.002 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017339 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: FEV1/FVC ratio | β: 0.002 (0.018) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017380 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP in obsese | β: -0.084 (0.148) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017381 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP in non-obsese | β: 0.116 (0.118) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017382 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin in obsese | β: 0.201 (0.161) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017383 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin in non-obsese | β: 0.175 (0.089) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017384 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c in obsese | β: 0.052 (0.197) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017385 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c in non-obsese | β: 0.488 (0.151) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017386 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B in obsese | β: 0.724 (2.105) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017387 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B in non-obsese | β: 1.664 (1.084) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017388 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR in obsese | β: 0.076 (0.057) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017389 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR in non-obsese | β: 0.062 (0.029) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017390 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio in obsese | β: 0.002 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017391 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio in non-obsese | β: 0.001 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017332 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Pulse pressure | β: -0.073 (0.104) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM018176 | PGS003574 (GRS_Dementia21) |
PSS010944| Multi-ancestry (including European)| 378,471 individuals |
PGP000459 | Mukadam N et al. PLoS One (2022) |
Reported Trait: Dementia | OR: 1.21 [1.18, 1.24] | — | — | age, sex, ethnic group, PRS*ethnicity | Excluding APOE variants |
| PPM018175 | PGS003574 (GRS_Dementia21) |
PSS010944| Multi-ancestry (including European)| 378,471 individuals |
PGP000459 | Mukadam N et al. PLoS One (2022) |
Reported Trait: Dementia | OR: 1.73 [1.69, 1.77] | — | — | age, sex, ethnic group, PRS*ethnicity | — |
| PPM018200 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00727 | PCs 1-10 | — |
| PPM018201 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01033 | PCs 1-10 | — |
| PPM018202 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00658 | PCs 1-10 | — |
| PPM018204 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00491 | PCs 1-10 | — |
| PPM018205 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0241 | PCs 1-10 | — |
| PPM018206 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0181 | PCs 1-10 | — |
| PPM018207 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01668 | PCs 1-20 | — |
| PPM018208 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.02062 | PCs 1-20 | — |
| PPM018209 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01847 | PCs 1-20 | — |
| PPM018203 | PGS003576 (AutoImpAll.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01563 | PCs 1-10 | — |
| PPM018210 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01013 | PCs 1-10 | — |
| PPM018211 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00938 | PCs 1-10 | — |
| PPM018212 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00505 | PCs 1-10 | — |
| PPM018213 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00482 | PCs 1-10 | — |
| PPM018214 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00405 | PCs 1-10 | — |
| PPM018215 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0182 | PCs 1-10 | — |
| PPM018216 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0141 | PCs 1-10 | — |
| PPM018217 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00953 | PCs 1-20 | — |
| PPM018219 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01454 | PCs 1-20 | — |
| PPM018218 | PGS003577 (AutoImpOnly.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01605 | PCs 1-20 | — |
| PPM018271 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01 | PCs 1-10 | — |
| PPM018272 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0048 | PCs 1-10 | — |
| PPM018273 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01087 | PCs 1-10 | — |
| PPM018274 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00943 | PCs 1-10 | — |
| PPM018275 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0257 | PCs 1-10 | — |
| PPM018276 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0199 | PCs 1-10 | — |
| PPM018277 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.02024 | PCs 1-20 | — |
| PPM018278 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.02182 | PCs 1-20 | — |
| PPM018270 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0038 | PCs 1-10 | — |
| PPM018279 | PGS003578 (MTAG.All.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01995 | PCs 1-20 | — |
| PPM018250 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00955 | PCs 1-10 | — |
| PPM018251 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.02257 | PCs 1-10 | — |
| PPM018253 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0115 | PCs 1-10 | — |
| PPM018254 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01013 | PCs 1-10 | — |
| PPM018255 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0204 | PCs 1-10 | — |
| PPM018256 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0155 | PCs 1-10 | — |
| PPM018257 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01754 | PCs 1-20 | — |
| PPM018258 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01951 | PCs 1-20 | — |
| PPM018259 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01771 | PCs 1-20 | — |
| PPM018252 | PGS003579 (MTAG.AllDep.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00435 | PCs 1-10 | — |
| PPM018260 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00134 | PCs 1-10 | — |
| PPM018262 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00539 | PCs 1-10 | — |
| PPM018263 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01207 | PCs 1-10 | — |
| PPM018264 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00827 | PCs 1-10 | — |
| PPM018265 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0254 | PCs 1-10 | — |
| PPM018266 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0207 | PCs 1-10 | — |
| PPM018267 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.02512 | PCs 1-20 | — |
| PPM018268 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01435 | PCs 1-20 | — |
| PPM018269 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.02075 | PCs 1-20 | — |
| PPM018261 | PGS003580 (MTAG.AllDepEnvs.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0156 | PCs 1-10 | — |
| PPM018230 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00169 | PCs 1-10 | — |
| PPM018231 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00598 | PCs 1-10 | — |
| PPM018232 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00234 | PCs 1-10 | — |
| PPM018233 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00581 | PCs 1-10 | — |
| PPM018235 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0182 | PCs 1-10 | — |
| PPM018236 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0147 | PCs 1-10 | — |
| PPM018237 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01186 | PCs 1-20 | — |
| PPM018238 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01336 | PCs 1-20 | — |
| PPM018239 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01224 | PCs 1-20 | — |
| PPM018234 | PGS003581 (MTAG.Envs.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00336 | PCs 1-10 | — |
| PPM018240 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00305 | PCs 1-10 | — |
| PPM018241 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01232 | PCs 1-10 | — |
| PPM018242 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00193 | PCs 1-10 | — |
| PPM018244 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00819 | PCs 1-10 | — |
| PPM018245 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0104 | PCs 1-10 | — |
| PPM018246 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0064 | PCs 1-10 | — |
| PPM018247 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00441 | PCs 1-20 | — |
| PPM018248 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01656 | PCs 1-20 | — |
| PPM018249 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01091 | PCs 1-20 | — |
| PPM018243 | PGS003582 (MTAG.FamHist.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00709 | PCs 1-10 | — |
| PPM018220 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00551 | PCs 1-10 | — |
| PPM018221 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01906 | PCs 1-10 | — |
| PPM018222 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00363 | PCs 1-10 | — |
| PPM018223 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00962 | PCs 1-10 | — |
| PPM018224 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00957 | PCs 1-10 | — |
| PPM018226 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0145 | PCs 1-10 | — |
| PPM018227 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01562 | PCs 1-20 | — |
| PPM018228 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01608 | PCs 1-20 | — |
| PPM018229 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01652 | PCs 1-20 | — |
| PPM018225 | PGS003583 (MTAG.GPpsy.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0198 | PCs 1-10 | — |
| PPM018180 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00898 | PCs 1-10 | — |
| PPM018181 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00726 | PCs 1-10 | — |
| PPM018182 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0044 | PCs 1-10 | — |
| PPM018183 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00842 | PCs 1-10 | — |
| PPM018184 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00537 | PCs 1-10 | — |
| PPM018185 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0207 | PCs 1-10 | — |
| PPM018187 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00508 | PCs 1-20 | — |
| PPM018188 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0071 | PCs 1-20 | — |
| PPM018189 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01722 | PCs 1-20 | — |
| PPM018186 | PGS003584 (SoftImpAll.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.016 | PCs 1-10 | — |
| PPM018190 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010946| African Ancestry| 1,158 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01492 | PCs 1-10 | — |
| PPM018191 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010947| Additional Asian Ancestries| 1,996 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00395 | PCs 1-10 | — |
| PPM018192 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010948| European Ancestry| 14,388 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00491 | PCs 1-10 | — |
| PPM018193 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010949| Hispanic or Latin American Ancestry| 2,454 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00837 | PCs 1-10 | — |
| PPM018194 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010950| East Asian Ancestry| 10,502 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.00546 | PCs 1-10 | — |
| PPM018196 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010955| European Ancestry| 23,351 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0121 | PCs 1-10 | — |
| PPM018197 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010951| African Ancestry| 687 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01598 | PCs 1-20 | — |
| PPM018198 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010952| Additional Asian Ancestries| 334 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.02548 | PCs 1-20 | — |
| PPM018199 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010953| European Ancestry| 10,193 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.01284 | PCs 1-20 | — |
| PPM018195 | PGS003585 (SoftImpOnly.LifetimeMDD) |
PSS010954| European Ancestry| 42,250 individuals |
PGP000461 | Dahl A et al. bioRxiv (2022) |Pre |
Reported Trait: Major depressive disorder | — | — | R²: 0.0176 | PCs 1-10 | — |
| PPM018515 | PGS003753 (PRS35445_ADHD) |
PSS011004| Hispanic or Latin American Ancestry| 237 individuals |
PGP000473 | Sato JR et al. Genes Brain Behav (2023) |
Reported Trait: ADHD scores from DAWBA questionnaire | β: 1.35e-06 | — | — | — | — |
| PPM018516 | PGS003753 (PRS35445_ADHD) |
PSS011004| Hispanic or Latin American Ancestry| 237 individuals |
PGP000473 | Sato JR et al. Genes Brain Behav (2023) |
Reported Trait: Segregation of brain functional network (cingulo-opercular network) | β: -3e-05 (1.28e-05) | — | — | — | — |
| PPM018517 | PGS003753 (PRS35445_ADHD) |
PSS011004| Hispanic or Latin American Ancestry| 237 individuals |
PGP000473 | Sato JR et al. Genes Brain Behav (2023) |
Reported Trait: Segregation of brain functional network (default mode) | β: 2e-05 (1.05e-05) | — | — | — | — |
| PPM018710 | PGS003857 (GRS18_BMIunadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI adjusted obstructive sleep apnea | β: 0.014 (0.017) | AUROC: 0.77 [0.75, 0.78] | — | BMI, age, sex, genetic batch, PCs 1-10 | — |
| PPM018709 | PGS003857 (GRS18_BMIunadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI unadjusted obstructive sleep apnea | β: 0.082 (0.016) | AUROC: 0.66 [0.64, 0.67] | — | age, sex, genetic batch, PCs 1-10 | — |
| PPM018711 | PGS003858 (GRS6_BMIadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI unadjusted obstructive sleep apnea | β: 0.048 (0.015) | AUROC: 0.62 [0.61, 0.64] | — | age, sex, genetic batch, PCs 1-10 | — |
| PPM018712 | PGS003858 (GRS6_BMIadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI adjusted obstructive sleep apnea | β: 0.066 (0.017) | AUROC: 0.77 [0.76, 0.79] | — | BMI, age, sex, genetic batch, PCs 1-10 | — |
| PPM019088 | PGS003953 (AD_Bellenguez) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Mild cognitive impairment | OR: 1.06 [0.96, 1.18] | — | — | age at the HCHS/SOL baseline visit, time from HCHS/SOL baseline to the SOL-INCA visit, sex, study center, 5 principal components, and APOE-ϵ4 and APOE-ϵ2 allele counts | — |
| PPM019090 | PGS003953 (AD_Bellenguez) |
PSS011179| Multi-ancestry (including European)| 23,157 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Mild cognitive impairment (with Alzheimer's disease) | OR: 1.13 (0.04) | — | — | two SNPs defining the APOE alleles | — |
| PPM019084 | PGS003954 (AD_FINNGEN) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Mild cognitive impairment | OR: 1.19 [1.06, 1.33] | — | — | age at the HCHS/SOL baseline visit, time from HCHS/SOL baseline to the SOL-INCA visit, sex, study center, 5 principal components, and APOE-ϵ4 and APOE-ϵ2 allele counts | — |
| PPM019085 | PGS003955 (AD_Jun) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Mild cognitive impairment | OR: 1.15 [1.01, 1.31] | — | — | age at the HCHS/SOL baseline visit, time from HCHS/SOL baseline to the SOL-INCA visit, sex, study center, 5 principal components, and APOE-ϵ4 and APOE-ϵ2 allele counts | — |
| PPM019092 | PGS003955 (AD_Jun) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Cognititve function (G-Factor change) | β: -0.03 [-0.06, -0.01] | — | — | — | — |
| PPM019094 | PGS003955 (AD_Jun) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Cognititve function (SEVLT recall change) | β: -0.09 [-0.17, -0.01] | — | — | — | — |
| PPM019087 | PGS003956 (AD_Kunkle_AFR) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Mild cognitive impairment | OR: 1.14 [1.02, 1.28] | — | — | age at the HCHS/SOL baseline visit, time from HCHS/SOL baseline to the SOL-INCA visit, sex, study center, 5 principal components, and APOE-ϵ4 and APOE-ϵ2 allele counts | — |
| PPM019096 | PGS003956 (AD_Kunkle_AFR) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Cognititve function (SEVLT recall change) | β: -0.08 [-0.17, 0.0] | — | — | — | — |
| PPM019086 | PGS003957 (AD_Kunkle) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Mild cognitive impairment | OR: 1.34 [1.05, 1.71] | — | — | age at the HCHS/SOL baseline visit, time from HCHS/SOL baseline to the SOL-INCA visit, sex, study center, 5 principal components, and APOE-ϵ4 and APOE-ϵ2 allele counts | — |
| PPM019095 | PGS003957 (AD_Kunkle) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Cognititve function (SEVLT recall change) | β: -0.2 [-0.4, 0.0] | — | — | — | — |
| PPM019089 | PGS003958 (AD_Unweighted_PRSsum) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Mild cognitive impairment | OR: 1.28 [1.12, 1.46] | — | — | age at the HCHS/SOL baseline visit, time from HCHS/SOL baseline to the SOL‑INCA visit, sex, study center, 5 principal components, and APOE‑E4 and APOE‑E2 allele counts | — |
| PPM019091 | PGS003958 (AD_Unweighted_PRSsum) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Cognititve function (SEVLT recall change) | β: -0.13 [-0.24, -0.02] | — | — | APOE alleles | — |
| PPM019093 | PGS003958 (AD_Unweighted_PRSsum) |
PSS011180| Hispanic or Latin American Ancestry| 4,189 individuals |
PGP000503 | Sofer T et al. Alzheimers Res Ther (2023) |
Reported Trait: Cognititve function (G-Factor change) | β: -0.04 [-0.06, -0.01] | — | — | — | — |
| PPM019922 | PGS003992 (dbslmm.auto.GCST90012877.AD) |
PSS011213| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.36764 [1.25914746, 1.48548255] β: 0.31309 [0.23043487, 0.39573967] |
AUROC: 0.58889 [0.56427113, 0.61350965] | R²: 0.0149 [0.00821494, 0.02493823] | 0 | beta = log(or)/sd_pgs |
| PPM019923 | PGS003992 (dbslmm.auto.GCST90012877.AD) |
PSS011226| European Ancestry| 389,004 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.33446 [1.31203429, 1.35726497] β: 0.28853 [0.27157882, 0.30547162] |
AUROC: 0.58137 [0.57651307, 0.5862179] | R²: 0.01256 [0.01098677, 0.01400605] | 0 | beta = log(or)/sd_pgs |
| PPM019924 | PGS003992 (dbslmm.auto.GCST90012877.AD) |
PSS011252| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.59974 [1.52182949, 1.6816393] β: 0.46984 [0.41991323, 0.51976909] |
AUROC: 0.6315 [0.61718444, 0.64582464] | R²: 0.03367 [0.02663668, 0.04154769] | 0 | beta = log(or)/sd_pgs |
| PPM019937 | PGS004008 (lassosum.auto.GCST90012877.AD) |
PSS011213| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.42671 [1.32526095, 1.53593273] β: 0.35537 [0.28160939, 0.42913784] |
AUROC: 0.59847 [0.57332316, 0.62362478] | R²: 0.02435 [0.01341092, 0.03701681] | 0 | beta = log(or)/sd_pgs |
| PPM019938 | PGS004008 (lassosum.auto.GCST90012877.AD) |
PSS011226| European Ancestry| 389,004 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.48397 [1.46157064, 1.50671708] β: 0.39472 [0.37951164, 0.40993316] |
AUROC: 0.61454 [0.60960208, 0.61948354] | R²: 0.02982 [0.02725224, 0.03259812] | 0 | beta = log(or)/sd_pgs |
| PPM019939 | PGS004008 (lassosum.auto.GCST90012877.AD) |
PSS011252| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.73288 [1.65911417, 1.80992965] β: 0.54979 [0.50628383, 0.59328798] |
AUROC: 0.66293 [0.64863592, 0.6772318] | R²: 0.06348 [0.05374272, 0.0761614] | 0 | beta = log(or)/sd_pgs |
| PPM019928 | PGS004034 (ldpred2.auto.GCST90012877.AD) |
PSS011213| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.45859 [1.35624817, 1.56865365] β: 0.37747 [0.30472219, 0.4502177] |
AUROC: 0.60532 [0.5803355, 0.63030351] | R²: 0.02833 [0.01664267, 0.04228284] | 0 | beta = log(or)/sd_pgs |
| PPM019929 | PGS004034 (ldpred2.auto.GCST90012877.AD) |
PSS011226| European Ancestry| 389,004 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.5321 [1.50892339, 1.55564048] β: 0.42664 [0.41139641, 0.44188734] |
AUROC: 0.6237 [0.61877662, 0.62862975] | R²: 0.0349 [0.03207661, 0.03776512] | 0 | beta = log(or)/sd_pgs |
| PPM019930 | PGS004034 (ldpred2.auto.GCST90012877.AD) |
PSS011252| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.78882 [1.71250526, 1.86854552] β: 0.58156 [0.53795736, 0.62516033] |
AUROC: 0.67205 [0.65778828, 0.68630804] | R²: 0.07132 [0.06110042, 0.08413551] | 0 | beta = log(or)/sd_pgs |
| PPM019931 | PGS004062 (megaprs.auto.GCST90012877.AD) |
PSS011213| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.46172 [1.35265857, 1.57957283] β: 0.37961 [0.30207197, 0.45715445] |
AUROC: 0.60579 [0.58137466, 0.63020687] | R²: 0.02494 [0.01482857, 0.03780255] | 0 | beta = log(or)/sd_pgs |
| PPM019933 | PGS004062 (megaprs.auto.GCST90012877.AD) |
PSS011252| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.73895 [1.66108385, 1.82046629] β: 0.55328 [0.50747031, 0.59909267] |
AUROC: 0.66036 [0.64617344, 0.67454912] | R²: 0.05664 [0.04705507, 0.0684223] | 0 | beta = log(or)/sd_pgs |
| PPM019932 | PGS004062 (megaprs.auto.GCST90012877.AD) |
PSS011226| European Ancestry| 389,004 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.48022 [1.45673427, 1.50408347] β: 0.39219 [0.37619713, 0.40818372] |
AUROC: 0.61101 [0.6061323, 0.6158922] | R²: 0.02634 [0.02407498, 0.02873899] | 0 | beta = log(or)/sd_pgs |
| PPM019934 | PGS004092 (prscs.auto.GCST90012877.AD) |
PSS011213| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.50751 [1.39408288, 1.63015587] β: 0.41046 [0.33223677, 0.48867563] |
AUROC: 0.61363 [0.58940298, 0.63785059] | R²: 0.02861 [0.0178852, 0.04157816] | 0 | beta = log(or)/sd_pgs |
| PPM019935 | PGS004092 (prscs.auto.GCST90012877.AD) |
PSS011226| European Ancestry| 389,004 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.48977 [1.46572255, 1.51421327] β: 0.39862 [0.38234833, 0.41489601] |
AUROC: 0.61238 [0.60749418, 0.61727359] | R²: 0.02623 [0.02395749, 0.02862116] | 0 | beta = log(or)/sd_pgs |
| PPM019936 | PGS004092 (prscs.auto.GCST90012877.AD) |
PSS011252| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.77852 [1.69732301, 1.86359553] β: 0.57578 [0.52905231, 0.6225077] |
AUROC: 0.66492 [0.65074397, 0.67909054] | R²: 0.05886 [0.04942013, 0.07017009] | 0 | beta = log(or)/sd_pgs |
| PPM019919 | PGS004116 (pt_clump.auto.GCST90012877.AD) |
PSS011213| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.27295 [1.16877898, 1.38640714] β: 0.24134 [0.1559596, 0.32671561] |
AUROC: 0.57002 [0.54493965, 0.59509681] | R²: 0.00829 [0.00313542, 0.01593775] | 0 | beta = log(or)/sd_pgs |
| PPM019920 | PGS004116 (pt_clump.auto.GCST90012877.AD) |
PSS011226| European Ancestry| 389,004 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.2393 [1.21794864, 1.26102083] β: 0.21454 [0.197168, 0.23192158] |
AUROC: 0.5606 [0.55574503, 0.56545085] | R²: 0.00659 [0.00548578, 0.00774337] | 0 | beta = log(or)/sd_pgs |
| PPM019921 | PGS004116 (pt_clump.auto.GCST90012877.AD) |
PSS011252| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.44592 [1.3726573, 1.52309192] β: 0.36875 [0.3167485, 0.42074243] |
AUROC: 0.60208 [0.58755709, 0.61660009] | R²: 0.01898 [0.01397656, 0.02489353] | 0 | beta = log(or)/sd_pgs |
| PPM019927 | PGS004146 (sbayesr.auto.GCST90012877.AD) |
PSS011252| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.79245 [1.71513669, 1.87323956] β: 0.58358 [0.53949278, 0.62766932] |
AUROC: 0.67094 [0.65667793, 0.68519515] | R²: 0.06987 [0.05877563, 0.08216167] | 0 | beta = log(or)/sd_pgs |
| PPM019925 | PGS004146 (sbayesr.auto.GCST90012877.AD) |
PSS011213| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.48544 [1.37939815, 1.59962905] β: 0.39571 [0.32164728, 0.46977176] |
AUROC: 0.60796 [0.58278903, 0.63313316] | R²: 0.03003 [0.01833361, 0.04547365] | 0 | beta = log(or)/sd_pgs |
| PPM019926 | PGS004146 (sbayesr.auto.GCST90012877.AD) |
PSS011226| European Ancestry| 389,004 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: AD | OR: 1.52213 [1.49865179, 1.54596874] β: 0.42011 [0.40456589, 0.43565073] |
AUROC: 0.62099 [0.61607908, 0.6259011] | R²: 0.03241 [0.02967044, 0.03503408] | 0 | beta = log(or)/sd_pgs |
| PPM020218 | PGS004227 (ad_apoe_gw_pgs) |
PSS011307| Ancestry Not Reported| 1,638 individuals |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Reported Trait: Alzheimer's disease biomarker (1-palmitoyl-2-palmitoleoyl-GPC (16:0/16:1) | β: -0.06101 [-0.108607308, -0.013407489] | — | — | — | — |
| PPM020220 | PGS004227 (ad_apoe_gw_pgs) |
PSS011307| Ancestry Not Reported| 1,638 individuals |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Reported Trait: Alzheimer's disease biomarker (palmitoyl-myristoyl-glycerol (16:0/14:0) [1]) | β: -0.0502 [-0.098164771, -0.002232543] | — | — | — | — |
| PPM020219 | PGS004227 (ad_apoe_gw_pgs) |
PSS011307| Ancestry Not Reported| 1,638 individuals |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Reported Trait: Alzheimer's disease biomarker (palmitoyl-palmitoyl-glycerol (16:0/16:0) [1]) | β: -0.0559 [-0.103719741, -0.008088708] | — | — | — | — |
| PPM020221 | PGS004228 (ad_apoe_0.1_pgs) |
PSS011307| Ancestry Not Reported| 1,638 individuals |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Reported Trait: Alzheimer's disease biomarker (docosapentaenoate (DPA; 22:5n3)) | β: -0.05808 [-0.106496039, -0.009669554] | — | — | — | — |
| PPM020223 | PGS004229 (ad_noapoe_0.1_pgs) |
PSS011307| Ancestry Not Reported| 1,638 individuals |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Reported Trait: Alzheimer's disease biomarker (linolenate (18:3n3 or 3n6)) | β: -0.05431 [-0.103025695, -0.005590157] | — | — | — | — |
| PPM020222 | PGS004229 (ad_noapoe_0.1_pgs) |
PSS011307| Ancestry Not Reported| 1,638 individuals |
PGP000527 | Green RE et al. Alzheimers Res Ther (2023) |
Reported Trait: Alzheimer's disease biomarker (docosapentaenoate (DPA; 22:5n3)) | β: -0.07733 [-0.125825807, -0.028839878] | — | — | — | — |
| PPM020348 | PGS004280 (GenoBoost_all-cause_dementia_0) |
PSS011345| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: All-cause dementia | — | AUROC: 0.81926 | Covariate-adjusted pseudo-R2: 0.03533 AUPRC: 0.07827 |
age, sex, PC1-10 | — |
| PPM020349 | PGS004281 (GenoBoost_all-cause_dementia_1) |
PSS011345| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: All-cause dementia | — | AUROC: 0.81897 | Covariate-adjusted pseudo-R2: 0.03418 AUPRC: 0.81897 |
age, sex, PC1-10 | — |
| PPM020350 | PGS004282 (GenoBoost_all-cause_dementia_2) |
PSS011345| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: All-cause dementia | — | AUROC: 0.81837 | Covariate-adjusted pseudo-R2: 0.03323 AUPRC: 0.81837 |
age, sex, PC1-10 | — |
| PPM020351 | PGS004283 (GenoBoost_all-cause_dementia_3) |
PSS011345| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: All-cause dementia | — | AUROC: 0.81816 | Covariate-adjusted pseudo-R2: 0.03381 AUPRC: 0.81816 |
age, sex, PC1-10 | — |
| PPM020352 | PGS004284 (GenoBoost_all-cause_dementia_4) |
PSS011345| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: All-cause dementia | — | AUROC: 0.81886 | Covariate-adjusted pseudo-R2: 0.03415 AUPRC: 0.81886 |
age, sex, PC1-10 | — |
| PPM020353 | PGS004285 (GenoBoost_alzheimer_s_disease_0) |
PSS011336| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Alzheimer's disease | — | AUROC: 0.8336 | Covariate-adjusted pseudo-R2: 0.0421 AUPRC: 0.8336 |
age, sex, PC1-10 | — |
| PPM020354 | PGS004286 (GenoBoost_alzheimer_s_disease_1) |
PSS011336| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Alzheimer's disease | — | AUROC: 0.8321 | Covariate-adjusted pseudo-R2: 0.04019 AUPRC: 0.8321 |
age, sex, PC1-10 | — |
| PPM020355 | PGS004287 (GenoBoost_alzheimer_s_disease_2) |
PSS011336| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Alzheimer's disease | — | AUROC: 0.83179 | Covariate-adjusted pseudo-R2: 0.04182 AUPRC: 0.83179 |
age, sex, PC1-10 | — |
| PPM020356 | PGS004288 (GenoBoost_alzheimer_s_disease_3) |
PSS011336| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Alzheimer's disease | — | AUROC: 0.83004 | Covariate-adjusted pseudo-R2: 0.03836 AUPRC: 0.83004 |
age, sex, PC1-10 | — |
| PPM020357 | PGS004289 (GenoBoost_alzheimer_s_disease_4) |
PSS011336| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Alzheimer's disease | — | AUROC: 0.83162 | Covariate-adjusted pseudo-R2: 0.04076 AUPRC: 0.83162 |
age, sex, PC1-10 | — |
| PPM020398 | PGS004318 (PRS29_dementia) |
PSS011350| Multi-ancestry (including European)| 57,688 individuals |
PGP000548 | Feng J et al. BMC Geriatr (2023) |
Reported Trait: Alzheimer's disease | — | — | Hazard ratio (HR, high vs low PRS tertile): 4.11 [3.71, 4.54] | Sex, age, ethnicity, socioeconomic status, education attainment, current employment status, smoking status, alcohol consumption, physical activity, diet, BMI, heart disease, stroke, diabetes, hypertension, depression, cholesterol levels, and constipation | — |
| PPM020399 | PGS004318 (PRS29_dementia) |
PSS011350| Multi-ancestry (including European)| 57,688 individuals |
PGP000548 | Feng J et al. BMC Geriatr (2023) |
Reported Trait: Vascular dementia | — | — | Hazard ratio (HR, high vs low PRS tertile): 2.43 [2.15, 2.75] | Sex, age, ethnicity, socioeconomic status, education attainment, current employment status, smoking status, alcohol consumption, physical activity, diet, BMI, heart disease, stroke, diabetes, hypertension, depression, cholesterol levels, and constipation | — |
| PPM020400 | PGS004318 (PRS29_dementia) |
PSS011350| Multi-ancestry (including European)| 57,688 individuals |
PGP000548 | Feng J et al. BMC Geriatr (2023) |
Reported Trait: Dementia with high laxatives exposure | — | — | Hazard ratio (HR, high laxative use and PRS in top tertile vs no laxative use and PRS in bottom tertile): 4.09 [3.48, 4.81] | Sex, age, ethnicity, socioeconomic status, education attainment, current employment status, smoking status, alcohol consumption, physical activity, diet, BMI, heart disease, stroke, diabetes, hypertension, depression, cholesterol levels, and constipation | — |
| PPM020401 | PGS004318 (PRS29_dementia) |
PSS011350| Multi-ancestry (including European)| 57,688 individuals |
PGP000548 | Feng J et al. BMC Geriatr (2023) |
Reported Trait: Alzheimer's disease with high laxatives exposure | — | — | Hazard ratio (HR, high laxative use and PRS in top tertile vs no laxative use and PRS in bottom tertile): 4.62 [3.56, 6.0] | Sex, age, ethnicity, socioeconomic status, education attainment, current employment status, smoking status, alcohol consumption, physical activity, diet, BMI, heart disease, stroke, diabetes, hypertension, depression, cholesterol levels, and constipation | — |
| PPM020402 | PGS004318 (PRS29_dementia) |
PSS011350| Multi-ancestry (including European)| 57,688 individuals |
PGP000548 | Feng J et al. BMC Geriatr (2023) |
Reported Trait: Vascular dementia with high laxatives exposure | — | — | Hazard ratio (HR, high laxative use and PRS in top tertile vs no laxative use and PRS in bottom tertile): 3.27 [2.37, 4.51] | Sex, age, ethnicity, socioeconomic status, education attainment, current employment status, smoking status, alcohol consumption, physical activity, diet, BMI, heart disease, stroke, diabetes, hypertension, depression, cholesterol levels, and constipation | — |
| PPM020397 | PGS004318 (PRS29_dementia) |
PSS011350| Multi-ancestry (including European)| 57,688 individuals |
PGP000548 | Feng J et al. BMC Geriatr (2023) |
Reported Trait: Dementia | — | — | Hazard ratio (HR, high vs low PRS tertile): 2.76 [2.6, 2.93] | Sex, age, ethnicity, socioeconomic status, education attainment, current employment status, smoking status, alcohol consumption, physical activity, diet, BMI, heart disease, stroke, diabetes, hypertension, depression, cholesterol levels, and constipation | — |
| PPM020564 | PGS004449 (disease.F10.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: F10 (Mental and behavioural disorders due to use of alcohol) | OR: 1.17947 | — | — | — | — |
| PPM020565 | PGS004450 (disease.F17.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: F17 (Mental and behavioural disorders due to use of tobacco) | OR: 1.24282 | — | — | — | — |
| PPM020566 | PGS004451 (disease.F41.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: F41 (Other anxiety disorders) | OR: 1.18672 | — | — | — | — |
| PPM020567 | PGS004452 (disease.G47.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: G47 (Sleep disorders) | OR: 1.16879 | — | — | — | — |
| PPM020634 | PGS004519 (meta.F10.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: F10 (Mental and behavioural disorders due to use of alcohol) | OR: 1.30179 | — | — | — | — |
| PPM020635 | PGS004520 (meta.F17.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: F17 (Mental and behavioural disorders due to use of tobacco) | OR: 1.29767 | — | — | — | — |
| PPM020636 | PGS004521 (meta.F41.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: F41 (Other anxiety disorders) | OR: 1.29571 | — | — | — | — |
| PPM020637 | PGS004522 (meta.G47.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: G47 (Sleep disorders) | OR: 1.34952 | — | — | — | — |
| PPM020711 | PGS004588 (PRS39_Eur) |
PSS011377| East Asian Ancestry| 379 individuals |
PGP000567 | Jung SH et al. JAMA Netw Open (2022) |
Reported Trait: Alzheimer's disease dementia | OR: 1.85 [1.05, 3.32] | — | — | Sex, age, education year, 4 PCs, APOE ε4 status | — |
| PPM020712 | PGS004589 (PRS80_trans) |
PSS011377| East Asian Ancestry| 379 individuals |
PGP000567 | Jung SH et al. JAMA Netw Open (2022) |
Reported Trait: Alzheimer's disease dementia | OR: 2.09 [1.09, 4.04] | — | — | Sex, age, education year, 4 PCs, APOE ε4 status | — |
| PPM020719 | PGS004590 (PRS363_rand_eff) |
PSS011381| Multi-ancestry (including European)| 368 individuals |
PGP000569 | Lake J et al. Mol Psychiatry (2023) |
Reported Trait: Alzheimer's disease | — | AUROC: 0.68 | R²: 0.0044 | Age, sex, 5 PCs | — |
| PPM020721 | PGS004591 (PRS17_MDD) |
PSS011382| Multi-ancestry (including European)| 354,897 individuals |
PGP000570 | Li D et al. BMC Med (2023) |
Reported Trait: Major depressive disorder with PM2.5 air pollution | — | — | Hazard ratio (HR, PRS in top tertile and high PM2.5 exposure vs PRS in bottom tertile and low PM2.5 exposure): 1.34 [1.23, 1.46] | Age, gender, ethnicity, education level, employment status, household income, and Townsend deprivation index | — |
| PPM020720 | PGS004591 (PRS17_MDD) |
PSS011382| Multi-ancestry (including European)| 354,897 individuals |
PGP000570 | Li D et al. BMC Med (2023) |
Reported Trait: Major depressive disorder | — | — | Hazard ratio (HR, per IQR change in PRS): 1.1 [1.07, 1.12] | Age, gender, ethnicity, education level, employment status, household income, Townsend deprivation index, genotyping batch, and first 10 PCs | — |
| PPM020755 | PGS004600 (PRS_AD83) |
PSS011392| European Ancestry| 276 individuals |
PGP000578 | Tomassen J et al. BMC Neurol (2022) |
Reported Trait: Memory function over time | β: -0.04 (0.01) | — | — | age, sex, center, education | — |
| PPM020756 | PGS004600 (PRS_AD83) |
PSS011392| European Ancestry| 276 individuals |
PGP000578 | Tomassen J et al. BMC Neurol (2022) |
Reported Trait: Positive amyloid-beta status | OR: 1.43 [1.02, 2.0] | — | — | age, sex, center, education | — |
| PPM020984 | PGS004759 (depression_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Depression | — | — | Incremental R2 (Full model versus model with only covariates): 0.016 [0.011, 0.021] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020985 | PGS004760 (depression_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Depression | — | — | Incremental R2 (Full model versus model with only covariates): 0.024 [0.018, 0.03] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021094 | PGS004863 (PRS74_AD) |
PSS011524| East Asian Ancestry| 528 individuals |
PGP000609 | Sleiman PM et al. Alzheimers Dement (2023) |
Reported Trait: Cortical amyloid positivity | OR: 1.186 [0.992, 1.418] | AUROC: 0.751 [0.705, 0.796] | — | APOE haplotype, age, sex, 3 PCs | — |
| PPM021095 | PGS004863 (PRS74_AD) |
PSS011525| East Asian Ancestry| 696 individuals |
PGP000609 | Sleiman PM et al. Alzheimers Dement (2023) |
Reported Trait: Clinical Dementia Rating global score ≥ 1 | OR: 1.04 [0.871, 1.243] | AUROC: 0.637 [0.586, 0.689] | — | APOE haplotype, age, sex, 3 PCs | — |
| PPM021096 | PGS004863 (PRS74_AD) |
PSS011522| South Asian Ancestry| 718 individuals |
PGP000609 | Sleiman PM et al. Alzheimers Dement (2023) |
Reported Trait: All-cause dementia | OR: 1.11 [0.94, 1.33] | AUROC: 0.69 [0.62, 0.76] | — | APOE haplotype, age, sex, 3 PCs | — |
| PPM021097 | PGS004863 (PRS74_AD) |
PSS011523| East Asian Ancestry| 2,000 individuals |
PGP000609 | Sleiman PM et al. Alzheimers Dement (2023) |
Reported Trait: Alzheimer's disease or mild cognitive impairment | OR: 1.12 | AUROC: 0.625 [0.601, 0.65] | — | APOE haplotype, age, sex, 3 PCs | — |
| PPM021098 | PGS004863 (PRS74_AD) |
PSS011526| European Ancestry| 229,265 individuals |
PGP000609 | Sleiman PM et al. Alzheimers Dement (2023) |
Reported Trait: Alzheimer's disease or dementia | OR: 1.003 [0.99, 1.007] | AUROC: 0.746 [0.738, 0.754] | — | APOE haplotype, age, sex, 3 PCs | — |
| PPM021252 | PGS004885 (INTERVENE_MegaPRS_MDD) |
PSS011614| European Ancestry| 37,136 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident MDD | HR: 1.18 [1.16, 1.2] | C-index: 0.56 [0.55, 0.56] | — | PCs 1-10 | — |
| PPM021253 | PGS004885 (INTERVENE_MegaPRS_MDD) |
PSS011613| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident MDD | HR: 1.27 [1.23, 1.31] | C-index: 0.57 [0.56, 0.58] | — | PCs 1-10 | — |
| PPM021254 | PGS004885 (INTERVENE_MegaPRS_MDD) |
PSS011612| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident MDD | HR: 1.27 [1.23, 1.32] | C-index: 0.58 [0.57, 0.59] | — | PCs 1-10 | — |
| PPM021255 | PGS004885 (INTERVENE_MegaPRS_MDD) |
PSS011610| European Ancestry| 44,188 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident MDD | HR: 1.17 [1.12, 1.22] | — | — | PCs 1-10 | — |
| PPM021256 | PGS004885 (INTERVENE_MegaPRS_MDD) |
PSS011611| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident MDD | HR: 1.36 [1.21, 1.53] | C-index: 0.62 [0.58, 0.65] | — | PCs 1-10 | — |
| PPM021257 | PGS004885 (INTERVENE_MegaPRS_MDD) |
PSS011609| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident MDD | HR: 1.24 [1.23, 1.25] | C-index: 0.58 [0.58, 0.58] | — | PCs 1-10 | — |
| PPM021258 | PGS004885 (INTERVENE_MegaPRS_MDD) |
PSS011608| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident MDD | HR: 1.15 [1.14, 1.16] | C-index: 0.55 [0.55, 0.55] | — | PCs 1-10 | — |
| PPM021281 | PGS004898 (PRS_AD) |
PSS011676| European Ancestry| 1,135 individuals |
PGP000624 | Vasiljevic E et al. Alzheimers Dement (2023) |
Reported Trait: Immediate learning | β: -0.07 [-0.12, -0.02] | — | — | Sex, years of education, testing practice effects | — |
| PPM021282 | PGS004898 (PRS_AD) |
PSS011676| European Ancestry| 1,135 individuals |
PGP000624 | Vasiljevic E et al. Alzheimers Dement (2023) |
Reported Trait: Delayed recall | β: -0.07 [-0.12, -0.02] | — | — | Sex, years of education, testing practice effects | — |
| PPM021283 | PGS004898 (PRS_AD) |
PSS011676| European Ancestry| 1,135 individuals |
PGP000624 | Vasiljevic E et al. Alzheimers Dement (2023) |
Reported Trait: Executive function | β: -0.06 [-0.11, -0.01] | — | — | Sex, years of education, testing practice effects | — |
| PPM021284 | PGS004898 (PRS_AD) |
PSS011676| European Ancestry| 1,135 individuals |
PGP000624 | Vasiljevic E et al. Alzheimers Dement (2023) |
Reported Trait: Preclinical Alzheimer Cognitive Composite (PACC3) | β: -0.08 [-0.13, -0.04] | — | — | Sex, years of education, testing practice effects | — |
| PPM021384 | PGS004918 (PRS8_Synapse) |
PSS011719| European Ancestry| 136 individuals |
PGP000649 | Lawingco T et al. Neurobiol Aging (2020) |
Reported Trait: Late-onset Alzheimer's disease | — | AUROC: 0.731 | — | — | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS009188 | — | — | 490 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009193 | — | — | 4,116 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009252 | — | — | 4,057 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000033 | Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria. | — | [
|
— | European | — | 8 cohorts
|
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered |
| PSS000034 | Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria. | — | 4,353 individuals | — | European | — | 8 cohorts
|
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered |
| PSS000035 | Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria. | — | 15,334 individuals | — | European | — | 8 cohorts
|
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered |
| PSS000036 | Cases are patients with clinically diagnosed AD and compared to cognitively normal older individuals | — | [ ,
40.51 % Male samples |
— | European | — | ADGC | ADGC Phase 2 |
| PSS009297 | — | — | 19,618 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009298 | — | — | 19,563 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009299 | — | — | 17,764 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009300 | — | — | 19,400 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS011522 | — | — | [
|
— | South Asian (Pakistani, Bangladeshi) |
— | G&H | — |
| PSS011523 | — | — | [
|
— | East Asian (Japanese) |
— | NCGG | — |
| PSS011524 | — | — | [
|
— | East Asian (Korean) |
— | BICWALZS | — |
| PSS009381 | — | — | 6,451 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011525 | — | — | [
|
— | East Asian (Korean) |
— | BICWALZS | — |
| PSS011526 | — | — | [
|
— | European (British) |
— | UKB | — |
| PSS009414 | — | — | 2,491 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009419 | — | — | 19,978 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000084 | EFIGA recruited patients from families multiply affected by LOAD, but of Caribbean Hispanic ancestry from the Dominican Republic and New York. Families were recruited after confirming diagnoses in the probands. Family members with dementia were also interviewed and neurologically evaluated. Clinical diagnoses were made in a consensus diagnostic conference by a panel of neurologists, neuropsychologists, and psychiatrists. Detailed description is available elsewhere.14 For these family-based studies, we included data from families for which their members (1) were 60 years or older at the time of enrollment; (2) had a diagnosis of probable or possible LOAD according to National Institute of Neurological and Communicative Disorders and Stroke–Alzheimer’s Disease and Related Disorders Association (NINDS-ADRDA) criteria; (3) had available pedigree information and covariates. | — | [ ,
34.0 % Male samples |
— | Hispanic or Latin American | Samples are described as "Carribbean Hispanic" | EFIGA | — |
| PSS000085 | Selection criteria included (1) a proband who received a dianosis of definite or probable late onset Alzheimer's Disease (LOAD) with age at onset of at least 60 years; (2) a full sibling with definite, probable, or possible LOAD with age at onset after 60 years; (3) a related family member (first-,second-,or third-degree relative) of theaffected sibling pair and 60 years or older if unaffected, or 50 years or older if dianosed with LOAD or mild cognitive impairment (MCI) | — | [ ,
38.0 % Male samples |
— | European | — | NIA-LOAD | — |
| PSS007536 | — | — | 6,254 individuals | — | African unspecified | — | UKB | — |
| PSS007537 | — | — | 1,629 individuals | — | East Asian | — | UKB | — |
| PSS007538 | — | — | 24,713 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007539 | — | — | 7,410 individuals | — | South Asian | — | UKB | — |
| PSS007540 | — | — | 67,196 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009478 | — | — | 19,922 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS001209 | — | — | [
|
— | European | — | AGDS | — |
| PSS011608 | — | — | [
|
— | European | — | EB | — |
| PSS011609 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011610 | — | — | [
|
— | European | — | G&H | — |
| PSS011611 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011612 | — | — | [
|
— | European | — | GEL | — |
| PSS001213 | — | — | [
|
— | European | — | AGDS | — |
| PSS011614 | — | — | [
|
— | European | — | MGBB | — |
| PSS011613 | — | — | [
|
— | European | — | HUNT | — |
| PSS001214 | — | — | [
|
— | European | — | AGDS | — |
| PSS007663 | Cases were individuals with dementia. Of the 82 cases with dementia, 41 had all-type dementia, 25 had Alzheimer's disease (AD) dementia and 16 had other types of dementia. | — | [
|
— | European | — | AmDem, SCIENCe | — |
| PSS009559 | AD: F00, F00.0, F00.1, F00.2, F00.9, G30, G30.0, G30.1, G30.8, G30.9 VaD: F01, F01.0, F01.1, F01.2, F01.3, F01.8, F01.9, I67.3 FTD: F02.0, G31.0, Other codes for all-cause dementia: A81.0, F02, F02.1, F02.2, F02.3, F02.4, F02.8, F03, F05.1, F10.6, G31.1, G31.8 | Median = 8.0 years | [ ,
47.3 % Male samples |
Mean = 64.1 years | European | — | UKB | — |
| PSS011676 | — | — | 1,135 individuals, 30.0 % Male samples |
Mean = 59.0 years Sd = 6.0 years |
European | — | WRAP | — |
| PSS011359 | Alzheimer's (ICD10: F00, F00.0, F00.1, F00.2, F00.9, G30, G30.0, G30.1, G30.8, G30.9), Vascular dementia (ICD10: F01, F01.0, F01.1, F01.2, F01.3, F01.8, F01.9, I67.3), Frontotemporal dementia (ICD10: F02.0, G31.0), all-cause dementia (ICD10: A81.0, F02, F02.1, F02.2, F02.3, F02.4, F02.8, F03, F05.1, F10.6, G31.1, G31.8) | Mean = 9.1 years Sd = 1.7 years |
60,298 individuals, 51.5 % Male samples |
Mean = 63.8 years Sd = 2.7 years |
European | — | UKB | — |
| PSS010051 | Adults aged 37-73 free of dementia at baseline. International Classification of Diseases (ICD-10) codes was used to define all-cause dementia (ICD-10 codes: F00, F01, F02, F03, F05.1, G30, G31.1, G31.8), Alzheimer’s dementia (AD) (ICD-10 codes: F00, G30), and vascular dementia (VaD) (ICD-10 codes: F01). | — | [ ,
46.9 % Male samples |
Mean = 64.1 years | European | — | UKB | 5,750 (2.8%) all-cause dementia, 2,432 (1.2%) AD, and 936 (0.5%) VaD |
| PSS011719 | Samples used in this study were extracted from autopsied brain tissue. Samples were taken from cognitively normal individuals witth a dementia rating of 0 (controls) and from late-onset Alzheimer's disease (LOAD) patients who had a clinical diagnosis of dementia due to AD and neuropathological confirmation of AD. | — | [ ,
39.0 % Male samples |
— | European | — | BfDR | — |
| PSS010155 | — | — | 117 individuals, 50.0 % Male samples |
Mean = 9.96 years | Not reported | — | NR | ABCD |
| PSS007745 | — | — | 2,441 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007746 | — | — | 2,429 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007747 | — | — | 2,272 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007748 | — | — | 2,445 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010156 | — | — | 4,382 individuals, 50.0 % Male samples |
Mean = 9.94 years | Not reported | — | NR | ABCD |
| PSS009634 | — | — | 4,114 individuals | — | European | — | ADC | DCN, FACE, HAN, UAN, UHA, AMC, ZIM |
| PSS009635 | — | — | 17,545 individuals | — | European | — | 3C, FHS, MAS, RS | AgeCoDe, VITA |
| PSS009642 | G30.1 Alzheimer’s disease with late onset | — | 497,087 individuals, 45.9 % Male samples |
Mean = 57.1 years Sd = 7.9 years |
European | — | UKB | — |
| PSS007825 | — | — | 372 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS008806 | — | — | 6,571 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS000237 | Schizophrenia case subjects had two or more ICD codes included in phecode 295.1 | — | [ ,
46.0 % Male samples |
Mean = 57.9 years Sd = 20.0 years |
European | — | BioVU | Vanderbilt University Medical Center (VUMC) biobank (BioVU) |
| PSS000238 | Psychosis case subjects were identified with phecode 295 | — | [ ,
46.0 % Male samples |
Mean = 57.9 years Sd = 20.0 years |
European | — | BioVU | Vanderbilt University Medical Center (VUMC) biobank (BioVU) |
| PSS000239 | Schizophrenia case subjects had two or more ICD codes included in phecode 295.1 | — | [ ,
41.0 % Male samples |
Mean = 60.2 years Sd = 16.9 years |
European | — | MyCode | Geisinger Health System (GHS) |
| PSS000240 | Psychosis case subjects were identified with phecode 295 | — | [ ,
41.0 % Male samples |
Mean = 60.2 years Sd = 16.9 years |
European | — | MyCode | Geisinger Health System (GHS) |
| PSS000241 | Schizophrenia case subjects had two or more ICD codes included in phecode 295.1 | — | [ ,
48.0 % Male samples |
Mean = 57.2 years Sd = 19.8 years |
European | — | BioMe | BioMe Biobank at the Mount Sinai School of Medicine (MSSM) |
| PSS000243 | Schizophrenia case subjects had two or more ICD codes included in phecode 295.1 | — | [ ,
46.0 % Male samples |
Mean = 58.5 years Sd = 16.4 years |
European | — | PHB | Partners HealthCare System (PHS) biobank |
| PSS000244 | Psychosis case subjects were identified with phecode 295 | — | [ ,
46.0 % Male samples |
Mean = 58.5 years Sd = 16.4 years |
European | — | PHB | Partners HealthCare System (PHS) biobank |
| PSS007858 | — | — | 149 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007863 | — | — | 2,460 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000250 | — | — | [
|
— | European | — | 15 cohorts
|
Part of PGC29 (PMID: 29700475) |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS010944 | ICD10 codes, including F00, F01, F02, F03 and G30 subcategories. | — | [ ,
46.2 % Male samples |
Mean = 56.8 years | European (white British) |
— | UKB | — |
| PSS010944 | ICD10 codes, including F00, F01, F02, F03 and G30 subcategories. | — | [ ,
54.2 % Male samples |
Mean = 53.4 years | South Asian | — | UKB | — |
| PSS010944 | ICD10 codes, including F00, F01, F02, F03 and G30 subcategories. | — | [ ,
43.6 % Male samples |
Mean = 51.9 years | African unspecified (Black) |
— | UKB | — |
| PSS007922 | — | — | 2,395 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010946 | — | — | [
|
Range = [18.0, 86.0] years | African unspecified (Black) |
— | UCLA | — |
| PSS010947 | — | — | [
|
Range = [18.0, 86.0] years | Asian unspecified (Asian) |
— | UCLA | — |
| PSS010948 | — | — | [
|
Range = [18.0, 86.0] years | European | — | UCLA | — |
| PSS010949 | — | — | [
|
Range = [18.0, 86.0] years | Hispanic or Latin American (Latino) |
— | UCLA | — |
| PSS010950 | — | — | [
|
Range = [30.0, 60.0] years | East Asian (Han Chinese) |
— | CONVERGE | — |
| PSS010951 | — | — | [
|
Range = [37.0, 74.0] years | African unspecified (African) |
— | UKB | — |
| PSS010952 | — | — | [
|
Range = [37.0, 74.0] years | Asian unspecified (Asian) |
— | UKB | — |
| PSS010953 | — | — | [
|
Range = [37.0, 74.0] years | European | — | UKB | — |
| PSS010954 | — | — | [
|
Range = [8.0, 32.0] years | European (Danish) |
— | iPSYCH | — |
| PSS010955 | — | — | [
|
Range = [8.0, 35.0] years | European (Danish) |
— | iPSYCH | — |
| PSS007964 | — | — | 1,802 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007965 | — | — | 1,802 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007966 | — | — | 1,742 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007967 | — | — | 1,800 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008039 | — | — | 427 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011004 | — | — | 237 individuals, 51.0 % Male samples |
— | Hispanic or Latin American (Brazilian) |
— | NR | BHRCS |
| PSS008849 | — | — | 3,852 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS000966 | The narcolepsy patients had either hypocretin deficiency (CSF hypocretin-1 ≤110 pg/mL) or clear-cut cataplexy and HLA-DQB1*06:02. | — | [ ,
44.94 % Male samples |
— | East Asian (Han Chinese, Chinese) |
— | NR | — |
| PSS008850 | — | — | 3,836 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008851 | — | — | 3,678 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008071 | — | — | 147 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008852 | — | — | 3,876 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008076 | — | — | 1,788 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS000984 | — | — | 62 individuals, 0.0 % Male samples |
— | European, Hispanic or Latin American, African unspecified, Asian unspecified, NR | — | NR | — |
| PSS000985 | — | — | 63 individuals, 0.0 % Male samples |
— | European, Hispanic or Latin American, African unspecified, Asian unspecified, NR | — | NR | — |
| PSS000986 | — | — | 73 individuals, 0.0 % Male samples |
— | European, Hispanic or Latin American, African unspecified, Asian unspecified, NR | — | NR | — |
| PSS008135 | — | — | 1,752 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008179 | — | — | 6,222 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008180 | — | — | 6,205 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008181 | — | — | 5,870 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008182 | — | — | 6,249 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS000294 | Participants completed an online follow-up questionnaire assessing common mental health disorders, including MDD symptoms. Phenotypes were derived from this questionnaire. Individuals with probable MDD met lifetime criteria based on their responses to questions derived from the Composite International Diagnostic Interview. We excluded cases if they self-reported diagnoses of schizophrenia, other psychoses, or bipolar disorder. Controls were excluded if they self-reported any mental illness, taking any drug with an antidepressant indication, or had been hospitalised with a mood disorder or met previously-defined criteria for a mood disorder. | — | [ ,
45.0 % Male samples |
Range = [46.0, 80.0] years | European | — | UKB | — |
| PSS011906 | — | — | [
|
— | European | — | NIA-LOAD | — |
| PSS011907 | — | — | [
|
— | European | — | ADNI, Knight-ADRC | — |
| PSS011908 | — | — | [
|
— | European | — | ADNI, Knight-ADRC | — |
| PSS011307 | — | — | 1,638 individuals, 49.6 % Male samples |
— | Not reported | — | NSHD | Outcomes tested were metabolite levels generated by Metabolon Inc, and metabolite modules generated using this data. All outcome (metabolite) data were collected at the 60-64 wave of the NSHD. |
| PSS011076 | — | — | 2,023 individuals, 37.4 % Male samples |
Mean = 53.16 years Sd = 16.23 years |
African unspecified | — | MGBB | — |
| PSS011076 | — | — | 932 individuals, 41.8 % Male samples |
Mean = 47.0 years Sd = 15.67 years |
Asian unspecified | — | MGBB | — |
| PSS009897 | — | — | 228 individuals, 49.6 % Male samples |
Mean = 76.62 years Sd = 4.55 years |
Not reported | — | ADNI | — |
| PSS011076 | — | — | 1,182 individuals, 31.3 % Male samples |
Mean = 52.29 years Sd = 16.56 years |
Hispanic or Latin American | — | MGBB | — |
| PSS009898 | CN/MCI/AD: [573/124/83] | — | 780 individuals | — | Not reported | — | NR | AIBL |
| PSS009899 | CN/MCI/AD: [412/66/24] | — | 502 individuals | — | Not reported | — | NR | AIBL |
| PSS009900 | CN/MCI/AD: [161/58/59] | — | 278 individuals | — | Not reported | — | NR | AIBL |
| PSS011076 | — | — | 1,292 individuals, 46.8 % Male samples |
Mean = 52.08 years Sd = 18.42 years |
Not reported | — | MGBB | — |
| PSS011076 | — | — | 34,764 individuals, 46.7 % Male samples |
Mean = 60.62 years Sd = 16.83 years |
European | — | MGBB | — |
| PSS001005 | Cases include individuals with Alzheimer's disease (AD) The phenotypes of the participants were determined on the basis of the most recent diagnostic records (until December 2019). | — | [ ,
54.29 % Male samples |
— | East Asian (Chinese) |
— | NR | Participants recruited from the Specialist Outpatient Department of Prince of Wales Hospital. |
| PSS001006 | Cases include individuals with Alzheimer's disease (AD). Patients with definite AD have been diagnosed according to established neuropathological criteria (CERAD, Braak, Khachaturian, NIA-RI, or other established criteria). | — | [ ,
37.62 % Male samples |
— | European | — | LOAD | — |
| PSS009908 | — | — | [
|
— | European | — | COGA | — |
| PSS009909 | — | — | [
|
— | European | — | COGA | — |
| PSS009910 | — | — | [
|
— | European | — | COGA | — |
| PSS009911 | — | — | [ ,
48.0 % Male samples |
— | European | — | COGA | — |
| PSS009912 | — | — | [
|
— | African American or Afro-Caribbean | — | COGA, SAGE, Yale-Penn | — |
| PSS008261 | — | — | 814 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS004302 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004303 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004304 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004305 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004306 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004307 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004309 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004310 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004311 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008294 | — | — | 311 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008299 | — | — | 6,199 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009931 | — | 4,483 individuals, 53.2 % Male samples |
Mean = 118.94 months Sd = 7.48 months |
European | — | NR | ABCD | |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS008358 | — | — | 6,001 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009949 | NIH Toolbox was used to measure cognition in ABCD. Children’s problems and competencies were rated using the parent-reported Children Behavior Checklist (CBCL). Details of the ABCD MRI data acquisition and analysis have been published previously. | — | 2,198 individuals, 0.0 % Male samples |
Mean = 9.89 years Sd = 0.61 years |
European | — | ABCD | — |
| PSS009950 | NIH Toolbox was used to measure cognition in ABCD. Children’s problems and competencies were rated using the parent-reported Children Behavior Checklist (CBCL). Details of the ABCD MRI data acquisition and analysis have been published previously. | — | 2,524 individuals, 100.0 % Male samples |
Mean = 9.92 years Sd = 0.62 years |
European | — | ABCD | — |
| PSS009951 | Fluid intelligence test | — | 78,561 individuals, 0.0 % Male samples |
Mean = 57.46 years Sd = 8.08 years |
European | — | UKB | — |
| PSS009952 | imaging-derived phenotypes (IDPs) generated by an image-processing pipeline developed and ran on behalf of the UKB | — | 10,343 individuals, 0.0 % Male samples |
Mean = 63.13 years Sd = 7.3 years |
European | — | UKB | — |
| PSS009953 | Fluid intelligence test | — | 68,614 individuals, 100.0 % Male samples |
Mean = 58.39 years Sd = 8.36 years |
European | — | UKB | — |
| PSS009954 | imaging-derived phenotypes (IDPs) generated by an image-processing pipeline developed and ran on behalf of the UKB | — | 11,180 individuals, 100.0 % Male samples |
Mean = 64.6 years Sd = 7.57 years |
European | — | UKB | — |
| PSS008399 | — | — | 1,186 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008400 | — | — | 1,183 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008401 | — | — | 1,055 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008402 | — | — | 1,180 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011179 | — | — | 1,005 individuals | — | African unspecified | — | MGBB | — |
| PSS011179 | — | — | 306 individuals | — | Asian unspecified | — | MGBB | — |
| PSS011179 | — | — | 20,348 individuals | — | European | — | MGBB | — |
| PSS011179 | — | — | 614 individuals | — | Hispanic or Latin American | — | MGBB | — |
| PSS011179 | — | — | 884 individuals | — | Not reported | — | MGBB | — |
| PSS011180 | — | — | 4,189 individuals | Mean = 63.0 years | Hispanic or Latin American (Central American, South American, Mexican, Cuban, Dominican, Puerto-Rican) |
— | SOL | SOL-INCA: Study of Latinos-Investigation of Neurocognitive Aging |
| PSS008929 | — | — | 511 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010109 | — | — | [
|
— | European | — | 23andMe, WTCCC | — |
| PSS010110 | — | — | [
|
— | European | — | 23andMe, WTCCC | — |
| PSS010111 | — | — | [
|
— | European | — | 23andMe, WTCCC | — |
| PSS001052 | The diagnosis of dementia at each examination was based on Diagnostic and Statistical Manual of Mental Disorders Third Edition‐Revised (DSM‐III‐R) criteria, using information from neuropsychiatric examinations and close informant interviews. Dementia diagnoses for individuals lost to follow‐up were based on information obtained from the Swedish Inpatient Registry until 2012. Age of dementia onset was based on information provided by close informants, the examinations, and the Swedish Inpatient Register. If no information could be obtained from these sources, the age of onset was determined as the mid‐point between the last examination at which dementia criteria were not fulfilled and the first with a dementia diagnosis. Information on deaths during follow‐up was obtained from the Swedish Population Registry until December 31, 2016. Of the 605 dementia cases, 182 were carriers of an APOE ɛ4 allele. | Mean = 7.2 years Sd = 4.7 years |
[
|
European | — | NR | Gothenburg H70 Birth Cohort studies | |
| PSS008483 | — | — | 201 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008516 | — | — | 75 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008521 | — | — | 1,153 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS001080 | Cases included incident Alzheimer's disease (AD) and other types of incident dementia. Of the 1,609 dementia cases, 1,262 were individuals with AD and 347 were individuals with other types of dementia excluding AD. A consensus panel led by a consultant neurologist established the final diagnosis according to standard criteria for dementia (Diagnostic and Statistical Manual of Mental Disorders III-revised) and Alzheimer’s disease (National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association). Of the total 12,255 individuals, APOE genotypes were available for 11,375. From those genotyped, 261 individuals were homozygous for APOE ε4 (ε4/ε4). Of the 261 ε4/ε4 individuals, 72 had AD whilst 11 had other types of dementia excluding AD. | Median = 10.9 years | [ ,
41.5 % Male samples |
European (Dutch) |
— | RS | — | |
| PSS001081 | Cases were individuals with incident-all cause dementia. Dementia was diagnosed using Diagnostic and Statistical Manual of Mental Disorders, fourth edition criteria. Diagnosis date was recorded as date of trigger. Dementia cases were sub-classified into either 'probable Alzheimer's Disease (AD)', 'possible AD' or 'non-dementia AD' using the 2011 NIA-Alzheimer's Association core clinical criteria. Of the 324 cases, 143 were classified as 'probable AD', 176 were classified as 'possible AD' and 5 were classified as 'non-AD related dementia'. | Median = 4.5 years IQR = [2.1, 5.7] years |
[ ,
45.0 % Male samples |
Mean = 75.05 years Sd = 4.2 years |
European | — | ASPREE | — |
| PSS011330 | — | — | 196,368 individuals, 47.3 % Male samples |
Mean = 64.1 years Sd = 2.9 years |
European | — | UKB | — |
| PSS008580 | — | — | 1,078 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS004614 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004615 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004616 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004617 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004618 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004619 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004620 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004621 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004622 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004624 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004625 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004626 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004632 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004634 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004635 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004636 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008625 | — | — | 6,562 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008626 | — | — | 6,544 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008627 | — | — | 5,989 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008628 | — | — | 6,548 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008962 | — | — | 151 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS001125 | Cases included individuals with Alzheimer's disease. | — | [
|
— | European | — | 11 cohorts
|
— |
| PSS001126 | All individuals were aged 55 and above. Cases include individuals with Alzheimer's disease. | — | [
|
— | European | — | 11 cohorts
|
— |
| PSS001127 | Cases included individuals with Alzheimer's disease. | — | [
|
— | European | — | 11 cohorts
|
— |
| PSS011336 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS008967 | — | — | 3,863 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011345 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS010009 | PheCode 327.4 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | MGI | — |
| PSS010012 | PheCode 327.3 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | MGI | — |
| PSS008709 | — | — | 2,260 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS001167 | Cases were individuals with pathologically or clinically diagnosed Alzheimer's disease (AD). Of the 1008 AD cases, 332 had been confirmed pathologically whilst 676 had been confirmed clinically. Pathological AD was confirmed by the Biobanc Hospital Clínic–IDIBAPS, whilst clinical diagnosis of AD was based on clinical criteria from Fundació ACE. | — | [ ,
29.2 % Male samples |
— | European (Spanish) |
— | EADB | — |
| PSS011213 | — | — | [
|
— | European | — | EB | — |
| PSS010032 | PheCode 327.3 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | UKB | — |
| PSS011226 | G6_AD_WIDE, ICD10: G30|F00, ICD9: 3310 | — | [
|
— | European | — | FinnGen | — |
| PSS000435 | Cases were selected from the iPSYCH sample as those diagnosed with ASD in 2013 or earlier by a psychiatrist according to ICD10, including diagnoses of childhood autism (ICD10 code F84.0), atypical autism (F84.1), Asperger’s syndrome (F84.5), other pervasive developmental disorders (F84.8), and pervasive developmental disorder, unspecified (F84.9). As controls we selected from the random iPSYCH control cohort children that did not have an ASD diagnosis by 2013. | — | [
|
Mean (Age At Diagnosis) = 10.0 years Range = [10.0, 14.0] years |
European | — | iPSYCH | Average case/control numbers of each fold used in cross-validation (1/5th of total iPSYCH). |
| PSS008742 | — | — | 898 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011350 | — | — | 53,447 individuals | — | European | — | UKB | Mean age of full combined ancestry cohort = 58 years |
| PSS008747 | — | — | 6,626 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010048 | phecode 296.22 | — | [
|
— | European | — | MGI | — |
| PSS011350 | — | — | 1,118 individuals | — | African unspecified | — | UKB | Mean age of full combined ancestry cohort = 58 years |
| PSS011252 | — | — | [
|
— | European | — | HUNT | — |
| PSS011350 | — | — | 3,123 individuals | — | Asian unspecified, Not reported | — | UKB | Mean age of full combined ancestry cohort = 58 years |
| PSS001185 | — | — | [
|
— | European | — | AGDS | — |
| PSS001186 | — | — | [
|
— | European | — | AGDS | — |
| PSS001187 | — | — | [
|
— | European | — | AGDS | — |
| PSS001188 | — | — | [
|
— | European | — | AGDS | — |
| PSS001189 | — | — | [
|
— | European | — | AGDS | — |
| PSS001190 | — | — | [
|
— | European | — | AGDS | — |
| PSS001191 | — | — | [
|
— | European | — | AGDS | — |
| PSS001192 | — | — | [
|
— | European | — | AGDS | — |
| PSS001193 | — | — | [
|
— | European | — | AGDS | — |
| PSS001194 | — | — | [
|
— | European | — | AGDS | — |
| PSS000449 | — | — | [ ,
54.7 % Male samples |
Mean (Cases) = 77.6 years Sd (Cases) = 7.6 years |
European | — | ABIL | — |
| PSS000449 | — | — | [ ,
44.4 % Male samples |
Mean (Cases) = 86.8 years Sd (Cases) = 4.6 years |
European | — | MAS | — |
| PSS000449 | — | — | [ ,
47.0 % Male samples |
Mean (Cases) = 64.4 years Sd (Cases) = 4.5 years |
European | — | UKB | — |
| PSS001195 | — | — | [
|
— | European | — | AGDS | — |
| PSS001199 | — | — | [
|
— | European | — | AGDS | — |
| PSS001197 | — | — | [
|
— | European | — | AGDS | — |
| PSS001201 | — | — | [
|
— | European | — | AGDS | — |
| PSS001196 | — | — | [
|
— | European | — | AGDS | — |
| PSS001203 | — | — | [
|
— | European | — | AGDS | — |
| PSS001204 | — | — | [
|
— | European | — | AGDS | — |
| PSS001200 | — | — | [
|
— | European | — | AGDS | — |
| PSS001198 | — | — | [
|
— | European | — | AGDS | — |
| PSS001202 | — | — | [
|
— | European | — | AGDS | — |
| PSS001205 | — | — | [
|
— | European | — | AGDS | — |
| PSS001207 | — | — | [
|
— | European | — | AGDS | — |
| PSS001206 | — | — | [
|
— | European | — | AGDS | — |
| PSS001211 | — | — | [
|
— | European | — | AGDS | — |
| PSS001210 | — | — | [
|
— | European | — | AGDS | — |
| PSS001208 | — | — | [
|
— | European | — | AGDS | — |
| PSS001212 | — | — | [
|
— | European | — | AGDS | — |
| PSS001215 | — | — | [
|
— | European | — | AGDS | — |
| PSS001216 | — | — | [
|
— | European | — | AGDS | — |
| PSS001217 | — | — | [
|
— | European | — | AGDS | — |
| PSS001218 | — | — | [
|
— | European | — | AGDS | — |
| PSS001219 | — | — | [
|
— | European | — | AGDS | — |
| PSS001220 | — | — | [
|
— | European | — | AGDS | — |
| PSS001221 | — | — | [
|
— | European | — | AGDS | — |
| PSS001222 | — | — | [
|
— | European | — | AGDS | — |
| PSS001223 | — | — | [
|
— | European | — | AGDS | — |
| PSS001224 | — | — | [
|
— | European | — | AGDS | — |
| PSS001225 | — | — | [
|
— | European | — | AGDS | — |
| PSS001226 | — | — | [
|
— | European | — | AGDS | — |
| PSS001227 | — | — | [
|
— | European | — | AGDS | — |
| PSS001228 | — | — | [
|
— | European | — | AGDS | — |
| PSS001229 | — | — | [
|
— | European | — | AGDS | — |
| PSS001230 | — | — | [
|
— | European | — | AGDS | — |
| PSS001231 | — | — | [
|
— | European | — | AGDS | — |
| PSS001232 | — | — | [
|
— | European | — | AGDS | — |
| PSS001233 | — | — | [
|
— | European | — | AGDS | — |
| PSS001234 | — | — | [
|
— | European | — | AGDS | — |
| PSS001235 | — | — | [
|
— | European | — | AGDS | — |
| PSS001236 | — | — | [
|
— | European | — | AGDS | — |
| PSS001237 | — | — | [
|
— | European | — | AGDS | — |
| PSS001238 | — | — | [
|
— | European | — | AGDS | — |
| PSS001239 | — | — | [
|
— | European | — | AGDS | — |
| PSS001240 | — | — | [
|
— | European | — | AGDS | — |
| PSS001241 | — | — | [
|
— | European | — | AGDS | — |
| PSS001242 | — | — | [
|
— | European | — | AGDS | — |
| PSS001243 | — | — | [
|
— | European | — | AGDS | — |
| PSS001244 | — | — | [
|
— | European | — | AGDS | — |
| PSS001245 | — | — | [
|
— | European | — | AGDS | — |
| PSS001246 | — | — | [
|
— | European | — | AGDS | — |
| PSS001247 | — | — | [
|
— | European | — | AGDS | — |
| PSS001248 | — | — | [
|
— | European | — | AGDS | — |
| PSS001249 | — | — | [
|
— | European | — | AGDS | — |
| PSS001250 | — | — | [
|
— | European | — | AGDS | — |
| PSS001251 | — | — | [
|
— | European | — | AGDS | — |
| PSS001252 | — | — | [
|
— | European | — | AGDS | — |
| PSS001253 | — | — | [
|
— | European | — | AGDS | — |
| PSS001254 | — | — | [
|
— | European | — | AGDS | — |
| PSS001255 | — | — | [
|
— | European | — | AGDS | — |
| PSS001256 | — | — | [
|
— | European | — | AGDS | — |
| PSS001257 | — | — | [
|
— | European | — | AGDS | — |
| PSS001258 | — | — | [
|
— | European | — | AGDS | — |
| PSS001259 | — | — | [
|
— | European | — | AGDS | — |
| PSS001260 | — | — | [
|
— | European | — | AGDS | — |
| PSS001261 | — | — | [
|
— | European | — | AGDS | — |
| PSS001262 | — | — | [
|
— | European | — | AGDS | — |
| PSS001263 | — | — | [
|
— | European | — | AGDS | — |
| PSS001264 | — | — | [
|
— | European | — | AGDS | — |
| PSS001265 | — | — | [
|
— | European | — | AGDS | — |
| PSS001266 | — | — | [
|
— | European | — | AGDS | — |
| PSS001267 | — | — | [
|
— | European | — | AGDS | — |
| PSS001268 | — | — | [
|
— | European | — | AGDS | — |
| PSS001269 | — | — | [
|
— | European | — | AGDS | — |
| PSS001270 | — | — | [
|
— | European | — | AGDS | — |
| PSS001271 | — | — | [
|
— | European | — | AGDS | — |
| PSS001272 | — | — | [
|
— | European | — | AGDS | — |
| PSS001273 | — | — | [
|
— | European | — | AGDS | — |
| PSS001274 | — | — | [
|
— | European | — | AGDS | — |
| PSS001275 | — | — | [
|
— | European | — | AGDS | — |
| PSS001276 | — | — | [
|
— | European | — | AGDS | — |
| PSS001277 | — | — | [
|
— | European | — | AGDS | — |
| PSS001278 | — | — | [
|
— | European | — | AGDS | — |
| PSS001279 | — | — | [
|
— | European | — | AGDS | — |
| PSS001280 | — | — | [
|
— | European | — | AGDS | — |
| PSS001281 | — | — | [
|
— | European | — | AGDS | — |
| PSS001282 | — | — | [
|
— | European | — | AGDS | — |
| PSS001283 | — | — | [
|
— | European | — | AGDS | — |
| PSS001284 | — | — | [
|
— | European | — | AGDS | — |
| PSS001285 | — | — | [
|
— | European | — | AGDS | — |
| PSS001286 | — | — | [
|
— | European | — | AGDS | — |
| PSS001287 | — | — | [
|
— | European | — | AGDS | — |
| PSS001288 | — | — | [
|
— | European | — | AGDS | — |
| PSS001289 | — | — | [
|
— | European | — | AGDS | — |
| PSS001290 | — | — | [
|
— | European | — | AGDS | — |
| PSS001291 | — | — | [
|
— | European | — | AGDS | — |
| PSS001292 | — | — | [
|
— | European | — | AGDS | — |
| PSS001293 | — | — | [
|
— | European | — | AGDS | — |
| PSS001294 | — | — | [
|
— | European | — | AGDS | — |
| PSS001295 | — | — | [
|
— | European | — | AGDS | — |
| PSS001296 | — | — | [
|
— | European | — | AGDS | — |
| PSS001297 | — | — | [
|
— | European | — | AGDS | — |
| PSS001298 | — | — | [
|
— | European | — | AGDS | — |
| PSS001299 | — | — | [
|
— | European | — | AGDS | — |
| PSS001300 | — | — | [
|
— | European | — | AGDS | — |
| PSS001301 | — | — | [
|
— | European | — | AGDS | — |
| PSS001302 | — | — | [
|
— | European | — | AGDS | — |
| PSS001303 | — | — | [
|
— | European | — | AGDS | — |
| PSS001304 | — | — | [
|
— | European | — | AGDS | — |
| PSS001305 | — | — | [
|
— | European | — | AGDS | — |
| PSS001306 | — | — | [
|
— | European | — | AGDS | — |
| PSS001307 | — | — | [
|
— | European | — | AGDS | — |
| PSS001308 | — | — | [
|
— | European | — | AGDS | — |
| PSS001309 | — | — | [
|
— | European | — | AGDS | — |
| PSS001310 | — | — | [
|
— | European | — | AGDS | — |
| PSS001311 | — | — | [
|
— | European | — | AGDS | — |
| PSS001312 | — | — | [
|
— | European | — | AGDS | — |
| PSS001313 | — | — | [
|
— | European | — | AGDS | — |
| PSS001314 | — | — | [
|
— | European | — | AGDS | — |
| PSS001315 | — | — | [
|
— | European | — | AGDS | — |
| PSS001316 | — | — | [
|
— | European | — | AGDS | — |
| PSS001317 | — | — | [
|
— | European | — | AGDS | — |
| PSS001318 | — | — | [
|
— | European | — | AGDS | — |
| PSS001319 | — | — | [
|
— | European | — | AGDS | — |
| PSS001320 | — | — | [
|
— | European | — | AGDS | — |
| PSS001321 | — | — | [
|
— | European | — | AGDS | — |
| PSS001322 | — | — | [
|
— | European | — | AGDS | — |
| PSS001323 | — | — | [
|
— | European | — | AGDS | — |
| PSS001324 | — | — | [
|
— | European | — | AGDS | — |
| PSS001325 | — | — | [
|
— | European | — | AGDS | — |
| PSS001326 | — | — | [
|
— | European | — | AGDS | — |
| PSS001327 | — | — | [
|
— | European | — | AGDS | — |
| PSS001328 | — | — | [
|
— | European | — | AGDS | — |
| PSS001329 | — | — | [
|
— | European | — | AGDS | — |
| PSS001330 | — | — | [
|
— | European | — | AGDS | — |
| PSS001331 | — | — | [
|
— | European | — | AGDS | — |
| PSS001332 | — | — | [
|
— | European | — | AGDS | — |
| PSS001333 | — | — | [
|
— | European | — | AGDS | — |
| PSS001334 | — | — | [
|
— | European | — | AGDS | — |
| PSS001335 | — | — | [
|
— | European | — | AGDS | — |
| PSS001336 | — | — | [
|
— | European | — | AGDS | — |
| PSS001337 | — | — | [
|
— | European | — | AGDS | — |
| PSS001338 | — | — | [
|
— | European | — | AGDS | — |
| PSS001339 | — | — | [
|
— | European | — | AGDS | — |
| PSS001340 | — | — | [
|
— | European | — | AGDS | — |
| PSS001341 | — | — | [
|
— | European | — | AGDS | — |
| PSS001342 | — | — | [
|
— | European | — | AGDS | — |
| PSS001343 | — | — | [
|
— | European | — | AGDS | — |
| PSS001344 | — | — | [
|
— | European | — | AGDS | — |
| PSS001345 | — | — | [
|
— | European | — | AGDS | — |
| PSS001346 | — | — | [
|
— | European | — | AGDS | — |
| PSS001347 | — | — | [
|
— | European | — | AGDS | — |
| PSS001348 | — | — | [
|
— | European | — | AGDS | — |
| PSS001349 | — | — | [
|
— | European | — | AGDS | — |
| PSS001350 | — | — | [
|
— | European | — | AGDS | — |
| PSS001351 | — | — | [
|
— | European | — | AGDS | — |
| PSS001352 | — | — | [
|
— | European | — | AGDS | — |
| PSS001353 | — | — | [
|
— | European | — | AGDS | — |
| PSS001354 | — | — | [
|
— | European | — | AGDS | — |
| PSS001355 | — | — | [
|
— | European | — | AGDS | — |
| PSS001356 | — | — | [
|
— | European | — | AGDS | — |
| PSS001357 | — | — | [
|
— | European | — | AGDS | — |
| PSS001358 | — | — | [
|
— | European | — | AGDS | — |
| PSS001359 | — | — | [
|
— | European | — | AGDS | — |
| PSS001360 | — | — | [
|
— | European | — | AGDS | — |
| PSS001361 | — | — | [
|
— | European | — | AGDS | — |
| PSS001362 | — | — | [
|
— | European | — | AGDS | — |
| PSS001363 | — | — | [
|
— | European | — | AGDS | — |
| PSS001364 | — | — | [
|
— | European | — | AGDS | — |
| PSS001365 | — | — | [
|
— | European | — | AGDS | — |
| PSS001366 | — | — | [
|
— | European | — | AGDS | — |
| PSS001367 | — | — | [
|
— | European | — | AGDS | — |
| PSS001368 | — | — | [
|
— | European | — | AGDS | — |
| PSS001369 | — | — | [
|
— | European | — | AGDS | — |
| PSS001370 | — | — | [
|
— | European | — | AGDS | — |
| PSS001371 | — | — | [
|
— | European | — | AGDS | — |
| PSS001372 | — | — | [
|
— | European | — | AGDS | — |
| PSS001373 | — | — | [
|
— | European | — | AGDS | — |
| PSS001374 | — | — | [
|
— | European | — | AGDS | — |
| PSS001375 | — | — | [
|
— | European | — | AGDS | — |
| PSS001376 | — | — | [
|
— | European | — | AGDS | — |
| PSS001377 | — | — | [
|
— | European | — | AGDS | — |
| PSS001378 | — | — | [
|
— | European | — | AGDS | — |
| PSS001379 | — | — | [
|
— | European | — | AGDS | — |
| PSS001380 | — | — | [
|
— | European | — | AGDS | — |
| PSS001381 | — | — | [
|
— | European | — | AGDS | — |
| PSS001382 | — | — | [
|
— | European | — | AGDS | — |
| PSS001383 | — | — | [
|
— | European | — | AGDS | — |
| PSS001384 | — | — | [
|
— | European | — | AGDS | — |
| PSS001385 | — | — | [
|
— | European | — | AGDS | — |
| PSS001386 | — | — | [
|
— | European | — | AGDS | — |
| PSS001387 | — | — | [
|
— | European | — | AGDS | — |
| PSS001388 | — | — | [
|
— | European | — | AGDS | — |
| PSS001389 | — | — | [
|
— | European | — | AGDS | — |
| PSS001390 | — | — | [
|
— | European | — | AGDS | — |
| PSS001391 | — | — | [
|
— | European | — | AGDS | — |
| PSS001392 | — | — | [
|
— | European | — | AGDS | — |
| PSS001393 | — | — | [
|
— | European | — | AGDS | — |
| PSS001394 | — | — | [
|
— | European | — | AGDS | — |
| PSS001395 | — | — | [
|
— | European | — | AGDS | — |
| PSS001396 | — | — | [
|
— | European | — | AGDS | — |
| PSS001397 | — | — | [
|
— | European | — | AGDS | — |
| PSS001398 | — | — | [
|
— | European | — | AGDS | — |
| PSS001399 | — | — | [
|
— | European | — | AGDS | — |
| PSS001400 | — | — | [
|
— | European | — | AGDS | — |
| PSS001401 | — | — | [
|
— | European | — | AGDS | — |
| PSS001402 | — | — | [
|
— | European | — | AGDS | — |
| PSS001403 | — | — | [
|
— | European | — | AGDS | — |
| PSS001404 | — | — | [
|
— | European | — | AGDS | — |
| PSS001405 | — | — | [
|
— | European | — | AGDS | — |
| PSS001406 | — | — | [
|
— | European | — | AGDS | — |
| PSS001407 | — | — | [
|
— | European | — | AGDS | — |
| PSS001408 | — | — | [
|
— | European | — | AGDS | — |
| PSS001409 | — | — | [
|
— | European | — | AGDS | — |
| PSS001410 | — | — | [
|
— | European | — | AGDS | — |
| PSS001411 | — | — | [
|
— | European | — | AGDS | — |
| PSS001412 | — | — | [
|
— | European | — | AGDS | — |
| PSS001413 | — | — | [
|
— | European | — | AGDS | — |
| PSS001414 | — | — | [
|
— | European | — | AGDS | — |
| PSS001415 | — | — | [
|
— | European | — | AGDS | — |
| PSS001416 | — | — | [
|
— | European | — | AGDS | — |
| PSS001417 | — | — | [
|
— | European | — | AGDS | — |
| PSS001418 | — | — | [
|
— | European | — | AGDS | — |
| PSS001419 | — | — | [
|
— | European | — | AGDS | — |
| PSS001420 | — | — | [
|
— | European | — | AGDS | — |
| PSS001421 | — | — | [
|
— | European | — | AGDS | — |
| PSS001422 | — | — | [
|
— | European | — | AGDS | — |
| PSS001423 | — | — | [
|
— | European | — | AGDS | — |
| PSS001424 | — | — | [
|
— | European | — | AGDS | — |
| PSS001425 | — | — | [
|
— | European | — | AGDS | — |
| PSS001426 | — | — | [
|
— | European | — | AGDS | — |
| PSS001427 | — | — | [
|
— | European | — | AGDS | — |
| PSS001428 | — | — | [
|
— | European | — | AGDS | — |
| PSS001429 | — | — | [
|
— | European | — | AGDS | — |
| PSS001430 | — | — | [
|
— | European | — | AGDS | — |
| PSS001431 | — | — | [
|
— | European | — | AGDS | — |
| PSS001432 | — | — | [
|
— | European | — | AGDS | — |
| PSS001433 | — | — | [
|
— | European | — | AGDS | — |
| PSS001434 | — | — | [
|
— | European | — | AGDS | — |
| PSS001435 | — | — | [
|
— | European | — | AGDS | — |
| PSS001436 | — | — | [
|
— | European | — | AGDS | — |
| PSS001437 | — | — | [
|
— | European | — | AGDS | — |
| PSS001438 | — | — | [
|
— | European | — | AGDS | — |
| PSS001439 | — | — | [
|
— | European | — | AGDS | — |
| PSS001440 | — | — | [
|
— | European | — | AGDS | — |
| PSS001441 | — | — | [
|
— | European | — | AGDS | — |
| PSS001442 | — | — | [
|
— | European | — | AGDS | — |
| PSS001443 | — | — | [
|
— | European | — | AGDS | — |
| PSS001444 | — | — | [
|
— | European | — | AGDS | — |
| PSS011377 | — | — | [ ,
39.3 % Male samples |
Mean = 69.8 years Sd = 9.3 years |
East Asian (Korean) |
— | BICWALZS, PREMIER | — |
| PSS009026 | — | — | 3,750 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011381 | — | — | [
|
— | European, Native American, African unspecified | — | TANGL | — |
| PSS011382 | — | — | [
|
— | European | — | UKB | — |
| PSS011382 | — | — | [
|
— | Asian unspecified | — | UKB | — |
| PSS011382 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS011382 | — | — | [
|
— | East Asian (Chinese) |
— | UKB | — |
| PSS011382 | — | — | [
|
— | Not reported | — | UKB | — |
| PSS011392 | Used the following tests to assess memory performance: the total immediate recall and delayed recall of the Rey Auditory Verbal Learning Test (RAVLT), the twenty minute recall of the Rey Complex Figure Test (RCFT), the total errors of the Cambridge Neuropsychological Test Automated Battery (CANTAB) Paired Associate Learning (PAL) test, and the total score of the Face Name Associated Memory Examination (FNAME) names and occupations delayed recall. | Mean = 2.0 years Sd = 0.4 years |
276 individuals, 37.0 % Male samples |
Mean = 74.7 years Sd = 9.7 years |
European | — | ACPRC, NTR | Cognitively unimpaired. Includes 97 complete twin pairs. |
| PSS009071 | — | — | 4,070 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009072 | — | — | 4,062 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009073 | — | — | 3,729 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009074 | — | — | 4,022 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS, SOL | — |
| PSS009155 | — | — | 1,243 individuals | — | European | Poland (NE Europe) | UKB | — |