Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0004705 |
Description | Abnormally low levels of thyroid hormone. [NCIT: P378] | Trait category |
Other disease
|
Synonyms |
5 synonyms
|
Mapped terms |
15 mapped terms
|
Child trait(s) | myxedema |
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) |
---|---|---|---|---|---|---|
PGS000759 (hypoT) |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Hypothyroidism | hypothyroidism | 140 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000759/ScoringFiles/PGS000759.txt.gz |
PGS000761 (LDpred2_hypoT_PRS) |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Hypothyroidism | hypothyroidism | 1,099,649 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000761/ScoringFiles/PGS000761.txt.gz |
PGS000820 (PRS_hypothyroidism) |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Hypothyroidism (self-reported) | hypothyroidism | 890,908 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000820/ScoringFiles/PGS000820.txt.gz |
PGS000965 (GBE_HC219) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hypothyroidism/myxoedema | hypothyroidism, myxedema |
4,535 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000965/ScoringFiles/PGS000965.txt.gz |
PGS001181 (GBE_HC643) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other hypothyroidism (time-to-event) | hypothyroidism | 4,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001181/ScoringFiles/PGS001181.txt.gz |
PGS001816 (portability-PLR_244) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 11,130 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001816/ScoringFiles/PGS001816.txt.gz |
PGS002024 (portability-ldpred2_244) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 632,597 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002024/ScoringFiles/PGS002024.txt.gz |
PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002336/ScoringFiles/PGS002336.txt.gz |
PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 4,815 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002408/ScoringFiles/PGS002408.txt.gz |
PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 17,519 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002457/ScoringFiles/PGS002457.txt.gz |
PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 97,010 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002506/ScoringFiles/PGS002506.txt.gz |
PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 986 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002555/ScoringFiles/PGS002555.txt.gz |
PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 550 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002604/ScoringFiles/PGS002604.txt.gz |
PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 197,450 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002653/ScoringFiles/PGS002653.txt.gz |
PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 889,041 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002702/ScoringFiles/PGS002702.txt.gz |
PGS002766 (Hypothyroidism_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 1,092,122 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002766/ScoringFiles/PGS002766.txt.gz |
PGS004446 (disease.E03.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
E03 (Other hypothyroidism) | hypothyroidism | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004446/ScoringFiles/PGS004446.txt.gz |
PGS004516 (meta.E03.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
E03 (Other hypothyroidism) | hypothyroidism | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004516/ScoringFiles/PGS004516.txt.gz |
PGS004789 (hypothyroid_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypothyroidism | hypothyroidism | 1,109,333 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004789/ScoringFiles/PGS004789.txt.gz |
PGS004790 (hypothyroid_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypothyroidism | hypothyroidism | 1,841,655 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004790/ScoringFiles/PGS004790.txt.gz |
PGS004935 (hypothyroidism_snpnet_combined) |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Hypothyroidism | hypothyroidism | 6,127 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004935/ScoringFiles/PGS004935.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 |
---|---|---|---|---|---|---|---|---|---|
PPM001934 | PGS000759 (hypoT) |
PSS000970| European Ancestry| 1,584 individuals |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients | HR: 1.52 [1.31, 1.74] | — | meta-analysis p-value: 7.52e-09 | 5 genotype PCs | — |
PPM001936 | PGS000761 (LDpred2_hypoT_PRS) |
PSS000970| European Ancestry| 1,584 individuals |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients | HR: 1.49 [1.3, 1.71] | — | meta-analysis p-value: 5.49e-09 | 5 genotype PCs | — |
PPM002193 | PGS000820 (PRS_hypothyroidism) |
PSS001068| European Ancestry| 51,070 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Spontaneous hypothyroidism | OR: 1.33 [1.29, 1.37] | AUROC: 0.6 | — | Age, sex, PCs(1-10) | — |
PPM002195 | PGS000820 (PRS_hypothyroidism) |
PSS001070| Multi-ancestry (including European)| 744 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.34 [1.08, 1.66] | AUROC: 0.6 | — | Age, sex, PCs(1-10) | — |
PPM002197 | PGS000820 (PRS_hypothyroidism) |
PSS001070| Multi-ancestry (including European)| 744 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Anti-PD-(L)1 monotherapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.34 [1.07, 1.69] | — | — | Age, sex, PCs(1-10) | — |
PPM002199 | PGS000820 (PRS_hypothyroidism) |
PSS001069| Multi-ancestry (including European)| 561 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.39 [1.07, 1.82] | AUROC: 0.64 | — | Age, sex, PCs(1-10) | — |
PPM002198 | PGS000820 (PRS_hypothyroidism) |
PSS001071| European Ancestry| 634 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.27 [1.02, 1.59] | — | — | Age, sex | — |
PPM007649 | PGS000965 (GBE_HC219) |
PSS004354| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.70914 [0.67391, 0.74437] | R²: 0.06732 Incremental AUROC (full-covars): 0.00847 PGS R2 (no covariates): 0.01005 PGS AUROC (no covariates): 0.58277 [0.54281, 0.62272] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007650 | PGS000965 (GBE_HC219) |
PSS004355| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.68903 [0.61236, 0.7657] | R²: 0.05952 Incremental AUROC (full-covars): 0.01842 PGS R2 (no covariates): 0.01318 PGS AUROC (no covariates): 0.58777 [0.50589, 0.66966] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007651 | PGS000965 (GBE_HC219) |
PSS004356| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.76462 [0.75294, 0.7763] | R²: 0.14559 Incremental AUROC (full-covars): 0.06544 PGS R2 (no covariates): 0.06844 PGS AUROC (no covariates): 0.68233 [0.66882, 0.69583] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007652 | PGS000965 (GBE_HC219) |
PSS004357| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.74628 [0.72661, 0.76594] | R²: 0.13858 Incremental AUROC (full-covars): 0.03694 PGS R2 (no covariates): 0.04737 PGS AUROC (no covariates): 0.64507 [0.62236, 0.66778] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007653 | PGS000965 (GBE_HC219) |
PSS004358| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.76828 [0.76142, 0.77515] | R²: 0.14978 Incremental AUROC (full-covars): 0.07249 PGS R2 (no covariates): 0.07271 PGS AUROC (no covariates): 0.68907 [0.68098, 0.69716] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008594 | PGS001181 (GBE_HC643) |
PSS004555| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.70862 [0.67381, 0.74343] | R²: 0.06703 Incremental AUROC (full-covars): 0.01118 PGS R2 (no covariates): 0.01121 PGS AUROC (no covariates): 0.58683 [0.5475, 0.62616] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008595 | PGS001181 (GBE_HC643) |
PSS004556| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.71469 [0.64687, 0.78251] | R²: 0.07343 Incremental AUROC (full-covars): 0.03489 PGS R2 (no covariates): 0.01956 PGS AUROC (no covariates): 0.60912 [0.53836, 0.67988] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008596 | PGS001181 (GBE_HC643) |
PSS004557| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.76338 [0.75207, 0.77469] | R²: 0.14671 Incremental AUROC (full-covars): 0.06656 PGS R2 (no covariates): 0.06971 PGS AUROC (no covariates): 0.68243 [0.66936, 0.69549] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008597 | PGS001181 (GBE_HC643) |
PSS004558| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.74011 [0.72045, 0.75977] | R²: 0.1348 Incremental AUROC (full-covars): 0.03883 PGS R2 (no covariates): 0.04904 PGS AUROC (no covariates): 0.6475 [0.62543, 0.66957] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008598 | PGS001181 (GBE_HC643) |
PSS004559| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.76691 [0.7602, 0.77362] | R²: 0.15134 Incremental AUROC (full-covars): 0.0729 PGS R2 (no covariates): 0.07419 PGS AUROC (no covariates): 0.68962 [0.68178, 0.69747] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009430 | PGS001816 (portability-PLR_244) |
PSS008614| European Ancestry| 6,601 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1003 [0.0763, 0.1241] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009428 | PGS001816 (portability-PLR_244) |
PSS009286| European Ancestry| 19,852 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1192 [0.1054, 0.1329] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009429 | PGS001816 (portability-PLR_244) |
PSS009060| European Ancestry| 4,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1349 [0.1047, 0.1649] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009431 | PGS001816 (portability-PLR_244) |
PSS008390| Greater Middle Eastern Ancestry| 1,186 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1247 [0.0677, 0.1808] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009432 | PGS001816 (portability-PLR_244) |
PSS008168| South Asian Ancestry| 6,272 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.11 [0.0854, 0.1344] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009433 | PGS001816 (portability-PLR_244) |
PSS007955| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.044 [-0.0027, 0.0905] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009434 | PGS001816 (portability-PLR_244) |
PSS007736| African Ancestry| 2,434 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.0033 [-0.0366, 0.0432] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009435 | PGS001816 (portability-PLR_244) |
PSS008839| African Ancestry| 3,876 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.0419 [0.0104, 0.0734] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011066 | PGS002024 (portability-ldpred2_244) |
PSS009286| European Ancestry| 19,852 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.122 [0.1083, 0.1357] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011067 | PGS002024 (portability-ldpred2_244) |
PSS009060| European Ancestry| 4,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.143 [0.1128, 0.1729] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011068 | PGS002024 (portability-ldpred2_244) |
PSS008614| European Ancestry| 6,601 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1035 [0.0795, 0.1273] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011069 | PGS002024 (portability-ldpred2_244) |
PSS008390| Greater Middle Eastern Ancestry| 1,186 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.133 [0.0762, 0.189] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011070 | PGS002024 (portability-ldpred2_244) |
PSS008168| South Asian Ancestry| 6,272 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1186 [0.094, 0.1429] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011071 | PGS002024 (portability-ldpred2_244) |
PSS007955| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.047 | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011072 | PGS002024 (portability-ldpred2_244) |
PSS007736| African Ancestry| 2,434 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.0093 [-0.0306, 0.0492] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011073 | PGS002024 (portability-ldpred2_244) |
PSS008839| African Ancestry| 3,876 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.0396 [0.0081, 0.0711] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM013101 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0045 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013150 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0111 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013248 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0173 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013199 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0247 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013389 | PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013438 | PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013487 | PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013536 | PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013585 | PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013634 | PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013683 | PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013732 | PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013781 | PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013830 | PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013879 | PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013928 | PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014026 | PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014075 | PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0012 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014124 | PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM013977 | PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014173 | PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014222 | PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014271 | PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0015 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014320 | PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014369 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0046 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014418 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0129 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014467 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0262 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014516 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0183 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014565 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0043 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014614 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0117 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014663 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0206 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014712 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0139 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
PPM014966 | PGS002766 (Hypothyroidism_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | OR: 1.47 [1.43, 1.52] | — | — | age, sex, 10 PCs, technical covariates | — |
PPM020561 | PGS004446 (disease.E03.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: E03 (Other hypothyroidism) | OR: 1.47851 | — | — | — | — |
PPM020631 | PGS004516 (meta.E03.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: E03 (Other hypothyroidism) | OR: 1.49623 | — | — | — | — |
PPM021014 | PGS004789 (hypothyroid_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (Full model versus model with only covariates): 0.041 [0.033, 0.049] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
PPM021015 | PGS004790 (hypothyroid_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (Full model versus model with only covariates): 0.042 [0.034, 0.05] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
PPM021723 | PGS004935 (hypothyroidism_snpnet_combined) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Reported Trait: Hypothyroidism | OR: 1.5 [1.41, 1.6] | AUROC: 0.7 | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS009286 | — | — | 19,852 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008390 | — | — | 1,186 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS004555 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004556 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004557 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004558 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004559 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
PSS009060 | — | — | 4,100 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008168 | — | — | 6,272 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS009787 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
PSS009788 | — | — | 922 individuals | — | East Asian | — | UKB | — |
PSS009789 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
PSS009790 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |
PSS008839 | — | — | 3,876 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS000970 | — | Median = 400.0 days | 1,584 individuals | — | European | — | GNEHGI2020Q2 | — |
PSS004354 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004355 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004356 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004357 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004358 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS007955 | — | — | 1,782 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
PSS008614 | — | — | 6,601 individuals | — | European | Italy (South Europe) | UKB | — |
PSS007736 | — | — | 2,434 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS001068 | Spontaneous hypothyroidism cases and controls were defined using phecodes, which aggregate similar ICD-9-CM and ICD-10-CM. Individuals must have had at least 2 ICD codes for hypothyroidism to be assigned a phecode, and individuals with other thyroid diseases were excluded from the control set. | — | 51,070 individuals | — | European | — | BioVU | — |
PSS001069 | All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. | Median = 12.0 months | [ ,
44.0 % Male samples |
Median = 67.0 years IQR = [60.0, 74.0] years |
European, African unspecified, Asian unspecified, Hispanic or Latin American, NR | European = 506, African unspecified = 22, Asian unspecified = 17, Not reported = 6, Hispanic or Latin American = 10 | NR | Cases and controls were obtained from the Dana-Farber Cancer Institute (DFCI) |
PSS001070 | All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. of the 744 individuals receiving CPI therapy, 659 were being treated with Anti-PD-(L)1 monotherapy whilst 85 were being treated with Anti-PD-(L)1+CTLA-4 combination therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. | — | [ ,
50.94 % Male samples |
— | European, African unspecified, Asian unspecified, Hispanic or Latin American, NR | European = 634, African unspecified = 50, Asian unspecified = 36, Not reported = 4, Hispanic or Latin American = 20 | MSKCC | Additional cases and controls were obtained from the Vanderbilt University Medical Centre (VUMC) |
PSS001071 | All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. | — | 634 individuals | — | European | — | MSKCC | Additional cases and controls were obtained from the Vanderbilt University Medical Centre (VUMC) |