Trait: systolic blood pressure

Experimental Factor Ontology (EFO) Information
Identifier EFO_0006335
Description The blood pressure during the contraction of the left ventricle of the heart.
Trait category
Cardiovascular measurement
Synonyms 2 synonyms
  • SYSBP
  • systolic pressure
Mapped terms 3 mapped terms
  • MedDRA:10042955
  • NCIt:C25298
  • SNOMEDCT:271649006

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
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)
PGS000301
(GRS970_SBP)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Systolic blood pressure systolic blood pressure 970
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000301/ScoringFiles/PGS000301.txt.gz
PGS000900
(PRS_SBP_f)
 PGP000233 |
Kauko A et al. Hypertension (2021)
 Systolic blood pressure (female) systolic blood pressure,
female		 1,098,015
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000900/ScoringFiles/PGS000900.txt.gz
PGS000901
(PRS_SBP_m)
 PGP000233 |
Kauko A et al. Hypertension (2021)
 Systolic blood pressure (male) systolic blood pressure,
male		 1,098,015
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000901/ScoringFiles/PGS000901.txt.gz
PGS000913
(ukb_sbp_prs)
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Systolic blood pressure systolic blood pressure 1,098,015
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000913/ScoringFiles/PGS000913.txt.gz
PGS001134
(GBE_INI4080)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Systolic BP (AR) systolic blood pressure 15,481
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001134/ScoringFiles/PGS001134.txt.gz
PGS002009
(portability-PLR_systolic_BP)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Systolic blood pressure, automated reading systolic blood pressure 68,449
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002009/ScoringFiles/PGS002009.txt.gz
PGS002228
(portability-ldpred2_systolic_BP)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Systolic blood pressure, automated reading systolic blood pressure 937,030
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002228/ScoringFiles/PGS002228.txt.gz
PGS002238
(SBP_PRS)
 PGP000270 |
Breeyear JH et al. Circ Genom Precis Med (2022)
 Systolic blood pressure systolic blood pressure 1,119,444
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002238/ScoringFiles/PGS002238.txt.gz
PGS002257
(GRS901_SBP)
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Systolic blood pressure systolic blood pressure 884
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002257/ScoringFiles/PGS002257.txt.gz
PGS002275
(SBP-PRS)
 PGP000303 |
Groenland EH et al. Atherosclerosis (2022)
 Systolic blood pressure systolic blood pressure 425
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002275/ScoringFiles/PGS002275.txt.gz
PGS002349
(bp_SYSTOLICadjMEDz.BOLT-LMM)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 1,109,311
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002349/ScoringFiles/PGS002349.txt.gz
PGS002376
(bp_SYSTOLICadjMEDz.BOLT-LMM-BBJ)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 920,928
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002376/ScoringFiles/PGS002376.txt.gz
PGS002421
(bp_SYSTOLICadjMEDz.P+T.0.0001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 11,737
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002421/ScoringFiles/PGS002421.txt.gz
PGS002470
(bp_SYSTOLICadjMEDz.P+T.0.001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 32,439
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002470/ScoringFiles/PGS002470.txt.gz
PGS002519
(bp_SYSTOLICadjMEDz.P+T.0.01)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 139,179
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002519/ScoringFiles/PGS002519.txt.gz
PGS002568
(bp_SYSTOLICadjMEDz.P+T.1e-06)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 3,510
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002568/ScoringFiles/PGS002568.txt.gz
PGS002617
(bp_SYSTOLICadjMEDz.P+T.5e-08)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 2,060
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002617/ScoringFiles/PGS002617.txt.gz
PGS002666
(bp_SYSTOLICadjMEDz.PolyFun-pred)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 548,088
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002666/ScoringFiles/PGS002666.txt.gz
PGS002715
(bp_SYSTOLICadjMEDz.SBayesR)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Systolic blood pressure systolic blood pressure 985,820
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002715/ScoringFiles/PGS002715.txt.gz
PGS002734
(GRS_SBP_362)
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Systolic blood pressure systolic blood pressure 362
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002734/ScoringFiles/PGS002734.txt.gz
PGS002807
(PRSCS_SBP)
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Systolic blood pressure systolic blood pressure 1,084,157
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002807/ScoringFiles/PGS002807.txt.gz
PGS003069
(ExPRSweb_SBP_4080-irnt_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 775,138
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003069/ScoringFiles/PGS003069.txt.gz
PGS003070
(ExPRSweb_SBP_4080-irnt_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 24,765
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003070/ScoringFiles/PGS003070.txt.gz
PGS003071
(ExPRSweb_SBP_4080-irnt_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 41,867
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003071/ScoringFiles/PGS003071.txt.gz
PGS003072
(ExPRSweb_SBP_4080-irnt_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 7,477,086
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003072/ScoringFiles/PGS003072.txt.gz
PGS003073
(ExPRSweb_SBP_4080-irnt_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 1,113,831
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003073/ScoringFiles/PGS003073.txt.gz
PGS003074
(ExPRSweb_SBP_4080-raw_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 730,914
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003074/ScoringFiles/PGS003074.txt.gz
PGS003075
(ExPRSweb_SBP_4080-raw_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 16,283
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003075/ScoringFiles/PGS003075.txt.gz
PGS003076
(ExPRSweb_SBP_4080-raw_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 25,673
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003076/ScoringFiles/PGS003076.txt.gz
PGS003077
(ExPRSweb_SBP_4080-raw_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 7,477,072
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003077/ScoringFiles/PGS003077.txt.gz
PGS003078
(ExPRSweb_SBP_4080-raw_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 1,113,831
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003078/ScoringFiles/PGS003078.txt.gz
PGS003079
(ExPRSweb_SBP_93-irnt_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 354,112
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003079/ScoringFiles/PGS003079.txt.gz
PGS003080
(ExPRSweb_SBP_93-irnt_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 11,085
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003080/ScoringFiles/PGS003080.txt.gz
PGS003081
(ExPRSweb_SBP_93-irnt_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 22,519
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003081/ScoringFiles/PGS003081.txt.gz
PGS003082
(ExPRSweb_SBP_93-irnt_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 6,341,932
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003082/ScoringFiles/PGS003082.txt.gz
PGS003083
(ExPRSweb_SBP_93-irnt_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 1,113,774
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003083/ScoringFiles/PGS003083.txt.gz
PGS003084
(ExPRSweb_SBP_93-raw_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 353,555
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003084/ScoringFiles/PGS003084.txt.gz
PGS003085
(ExPRSweb_SBP_93-raw_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 13,447
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003085/ScoringFiles/PGS003085.txt.gz
PGS003086
(ExPRSweb_SBP_93-raw_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 27,471
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003086/ScoringFiles/PGS003086.txt.gz
PGS003087
(ExPRSweb_SBP_93-raw_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 6,762,103
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003087/ScoringFiles/PGS003087.txt.gz
PGS003088
(ExPRSweb_SBP_93-raw_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Systolic blood pressure systolic blood pressure 1,113,774
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003088/ScoringFiles/PGS003088.txt.gz
PGS003571
(cont-decay-systolic_BP)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Systolic blood pressure, automated reading systolic blood pressure 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003571/ScoringFiles/PGS003571.txt.gz
PGS003588
(SBP)
 PGP000462 |
Honigberg MC et al. Nat Med (2023)
 Systolic blood pressure systolic blood pressure 1,064,898
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003588/ScoringFiles/PGS003588.txt.gz
PGS003882
(SBP_PRScs_ARB)
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Systolic blood pressure systolic blood pressure 1,056,790
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003882/ScoringFiles/PGS003882.txt.gz
PGS003965
(SBP_AFR)
 PGP000510 |
Kurniansyah N et al. Nat Commun (2023)
 Systolic blood pressure systolic blood pressure 1,221,464
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003965/ScoringFiles/PGS003965.txt.gz
PGS003966
(SBP_EAS)
 PGP000510 |
Kurniansyah N et al. Nat Commun (2023)
 Systolic blood pressure systolic blood pressure 978,280
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003966/ScoringFiles/PGS003966.txt.gz
PGS003967
(SBP_EUR)
 PGP000510 |
Kurniansyah N et al. Nat Commun (2023)
 Systolic blood pressure systolic blood pressure 1,108,368
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003967/ScoringFiles/PGS003967.txt.gz
PGS003968
(SBP_weightedPRSsum)
 PGP000510 |
Kurniansyah N et al. Nat Commun (2023)
 Systolic blood pressure systolic blood pressure 1,267,240
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003968/ScoringFiles/PGS003968.txt.gz
PGS003970
(HARE_META_SBP_PRS_MALE)
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Systolic blood pressure systolic blood pressure 1,115,602
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003970/ScoringFiles/PGS003970.txt.gz
PGS003971
(HARE_META_SBP_PRS_FEMALE)
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Systolic blood pressure systolic blood pressure 1,115,520
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003971/ScoringFiles/PGS003971.txt.gz
PGS004231
(PRS732_SBP)
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Systolic blood pressure systolic blood pressure 732
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004231/ScoringFiles/PGS004231.txt.gz
PGS004235
(SBP_MVP)
 PGP000531 |
Kurniansyah N et al. Nat Commun (2022)
 Systolic blood pressure systolic blood pressure 24,807
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004235/ScoringFiles/PGS004235.txt.gz
PGS004372
(X4080.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Systolic blood pressure, automated reading systolic blood pressure 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004372/ScoringFiles/PGS004372.txt.gz
PGS004594
(ukb.sbp.female)
 PGP000574 |
Nurkkala J et al. J Hypertens (2022)
 Systolic blood pressure systolic blood pressure 1,097,355
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004594/ScoringFiles/PGS004594.txt.gz
PGS004603
(SBP-meta-analysis)
 PGP000581 |
Keaton JM et al. Nat Genet (2024)
 Systolic blood pressure systolic blood pressure 7,356,519
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004603/ScoringFiles/PGS004603.txt.gz
PGS004829
(sbp_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Systolic blood pressure systolic blood pressure 1,194,211
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004829/ScoringFiles/PGS004829.txt.gz
PGS004830
(sbp_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Systolic blood pressure systolic blood pressure 4,805,129
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004830/ScoringFiles/PGS004830.txt.gz
PGS004831
(sbp_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Systolic blood pressure systolic blood pressure 3,827,774
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004831/ScoringFiles/PGS004831.txt.gz
PGS004832
(sbp_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Systolic blood pressure systolic blood pressure 6,013,177
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004832/ScoringFiles/PGS004832.txt.gz
PGS005008
(mean_Systolic_INT_ldpred_AFRss_afrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005008/ScoringFiles/PGS005008.txt.gz
PGS005009
(mean_Systolic_INT_ldpred_EURss_eurld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005009/ScoringFiles/PGS005009.txt.gz
PGS005010
(mean_Systolic_INT_ldpred_HISss_amrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005010/ScoringFiles/PGS005010.txt.gz
PGS005011
(mean_Systolic_INT_ldpred_METAss_afrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005011/ScoringFiles/PGS005011.txt.gz
PGS005012
(mean_Systolic_INT_ldpred_METAss_amrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005012/ScoringFiles/PGS005012.txt.gz
PGS005013
(mean_Systolic_INT_ldpred_METAss_eurld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,286,612
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005013/ScoringFiles/PGS005013.txt.gz
PGS005014
(mean_Systolic_INT_prscs_AFRss_afrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005014/ScoringFiles/PGS005014.txt.gz
PGS005015
(mean_Systolic_INT_prscs_EURss_eurld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005015/ScoringFiles/PGS005015.txt.gz
PGS005016
(mean_Systolic_INT_prscs_HISss_amrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005016/ScoringFiles/PGS005016.txt.gz
PGS005017
(mean_Systolic_INT_prscs_METAss_afrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005017/ScoringFiles/PGS005017.txt.gz
PGS005018
(mean_Systolic_INT_prscs_METAss_amrld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005018/ScoringFiles/PGS005018.txt.gz
PGS005019
(mean_Systolic_INT_prscs_METAss_eurld)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,273,897
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005019/ScoringFiles/PGS005019.txt.gz
PGS005020
(mean_Systolic_INT_prscsx_METAweight)
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Systolic blood pressure systolic blood pressure 1,277,825
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005020/ScoringFiles/PGS005020.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM000801 PGS000301
(GRS970_SBP)
 PSS000371|
European Ancestry|
288 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Systolic blood pressure (mmHg) — — R²: 0.012 Sex, age, age^2, BMI —
PPM000771 PGS000301
(GRS970_SBP)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Systolic blood pressure (mmHg) — — R²: 0.0215 Sex, age, age^2, BMI —
PPM002648 PGS000900
(PRS_SBP_f)
 PSS001169|
European Ancestry|
123,579 individuals
 PGP000233 |
Kauko A et al. Hypertension (2021)
 Reported Trait: Hypertension HR: 1.42 [1.4, 1.44] — Hazard Ratio (HR, top 2.5% vs middle 60%): 2.12 [1.99, 2.25] Age as timescale, collection year, genotyping batch, PCs(1-10) —
PPM002650 PGS000900
(PRS_SBP_f)
 PSS001169|
European Ancestry|
123,579 individuals
 PGP000233 |
Kauko A et al. Hypertension (2021)
 Reported Trait: Early-onset hypertension (< 55 years) HR: 1.56 [1.53, 1.58] — Hazard Ratio (HR, top 2.5% vs middle 60%): 2.51 [2.32, 2.72] Age as timescale, collection year, genotyping batch, PCs(1-10) —
PPM002652 PGS000900
(PRS_SBP_f)
 PSS001169|
European Ancestry|
123,579 individuals
 PGP000233 |
Kauko A et al. Hypertension (2021)
 Reported Trait: Late-onset hypertension (> 55 years) HR: 1.31 [1.28, 1.33] — Hazard Ratio (HR, top 2.5% vs middle 60%): 1.66 [1.5, 1.84] Age as timescale, collection year, genotyping batch, PCs(1-10) —
PPM002649 PGS000901
(PRS_SBP_m)
 PSS001170|
European Ancestry|
95,213 individuals
 PGP000233 |
Kauko A et al. Hypertension (2021)
 Reported Trait: Hypertension HR: 1.27 [1.26, 1.29] — Hazard Ratio (HR, top 2.5% vs middle 60%): 1.8 [1.69, 1.92] Age as timescale, collection year, genotyping batch, PCs(1-10) —
PPM002651 PGS000901
(PRS_SBP_m)
 PSS001170|
European Ancestry|
95,213 individuals
 PGP000233 |
Kauko A et al. Hypertension (2021)
 Reported Trait: Early-onset hypertension (< 55 years) HR: 1.35 [1.32, 1.37] — Hazard Ratio (HR, top 2.5% vs middle 60%): 2.1 [1.94, 2.28] Age as timescale, collection year, genotyping batch, PCs(1-10) —
PPM002653 PGS000901
(PRS_SBP_m)
 PSS001170|
European Ancestry|
95,213 individuals
 PGP000233 |
Kauko A et al. Hypertension (2021)
 Reported Trait: Late-onset hypertension (> 55 years) HR: 1.21 [1.19, 1.23] — Hazard Ratio (HR, top 2.5% vs middle 60%): 1.45 [1.3, 1.61] Age as timescale, collection year, genotyping batch, PCs(1-10) —
PPM002970 PGS000913
(ukb_sbp_prs)
 PSS001446|
European Ancestry|
218,754 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Early onset incident hypertension (< 55 years) HR: 1.54 [1.53, 1.56] — Hazard Ratio (HR, top 2.5% vs middle 60%): 2.62 [2.48, 2.77] Sex, collection year, genotyping batch, PCs(1-10) —
PPM002971 PGS000913
(ukb_sbp_prs)
 PSS001446|
European Ancestry|
218,754 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Late onset incident hypertension (≥55 years) HR: 1.31 [1.29, 1.32] — Hazard Ratio (HR, top 2.5% vs middle 60%): 1.68 [1.57, 1.81] Sex, collection year, genotyping batch, PCs(1-10) —
PPM002977 PGS000913
(ukb_sbp_prs)
 PSS001448|
European Ancestry|
218,792 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Incident cardiovascular disease — — Hazard Ratio (HR, top 2.5% vs middle 60%): 1.3 [1.22, 1.39] Sex, collection year, genotyping batch, PCs(1-10) —
PPM002978 PGS000913
(ukb_sbp_prs)
 PSS001447|
European Ancestry|
218,792 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Incident coronary heart disease HR: 1.15 [1.13, 1.17] — Hazard Ratio (HR, top 2.5% vs middle 60%): 1.33 [1.23, 1.44] Sex, collection year, genotyping batch, PCs(1-10) —
PPM002979 PGS000913
(ukb_sbp_prs)
 PSS001449|
European Ancestry|
212,884 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Incident stroke — — Hazard Ratio (HR, top 2.5% vs middle 60%): 1.29 [1.16, 1.44] Sex, collection year, genotyping batch, PCs(1-10) —
PPM002981 PGS000913
(ukb_sbp_prs)
 PSS001447|
European Ancestry|
218,792 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Incident coronary heart disease — C-index: 0.743 — Clinical atherosclerotic cardiovascular disease risk score (age, sex, total cholesterol, high density lipoprotein, antihypertensive medication, diabetes, current smoking) —
PPM002982 PGS000913
(ukb_sbp_prs)
 PSS001449|
European Ancestry|
212,884 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Incident stroke — C-index: 0.732 — Clinical atherosclerotic cardiovascular disease risk score (age, sex, total cholesterol, high density lipoprotein, antihypertensive medication, diabetes, current smoking) —
PPM002969 PGS000913
(ukb_sbp_prs)
 PSS001446|
European Ancestry|
218,754 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Incident hypertension HR: 1.42 [1.41, 1.43] — Hazard Ratio (HR, top 2.5% vs middle 60%): 2.19 [2.1, 2.29] Sex, collection year, genotyping batch, PCs(1-10) —
PPM002975 PGS000913
(ukb_sbp_prs)
 PSS001450|
European Ancestry|
9,906 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Incident hypertension — C-index: 0.802 — Age, sex, systolic blood pressure, diastolic blood pressure, body mass index, diabetes, current smoking —
PPM002980 PGS000913
(ukb_sbp_prs)
 PSS001448|
European Ancestry|
218,792 individuals
 PGP000240 |
Vaura F et al. Hypertension (2021)
 Reported Trait: Incident cardiovascular disease — C-index: 0.731 — Clinical atherosclerotic cardiovascular disease risk score (age, sex, total cholesterol, high density lipoprotein, antihypertensive medication, diabetes, current smoking) —
PPM008400 PGS001134
(GBE_INI4080)
 PSS007268|
European Ancestry|
23,726 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Systolic BP (AR) — — R²: 0.19444 [0.18561, 0.20326]
Incremental R2 (full-covars): 0.04167
PGS R2 (no covariates): 0.04458 [0.03957, 0.04959]		 age, sex, UKB array type, Genotype PCs —
PPM008399 PGS001134
(GBE_INI4080)
 PSS007267|
East Asian Ancestry|
1,634 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Systolic BP (AR) — — R²: 0.22915 [0.19418, 0.26412]
Incremental R2 (full-covars): 0.03474
PGS R2 (no covariates): 0.04463 [0.0255, 0.06375]		 age, sex, UKB array type, Genotype PCs —
PPM008401 PGS001134
(GBE_INI4080)
 PSS007269|
South Asian Ancestry|
7,640 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Systolic BP (AR) — — R²: 0.15314 [0.13847, 0.16782]
Incremental R2 (full-covars): 0.02459
PGS R2 (no covariates): 0.0236 [0.01696, 0.03024]		 age, sex, UKB array type, Genotype PCs —
PPM008398 PGS001134
(GBE_INI4080)
 PSS007266|
African Ancestry|
6,409 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Systolic BP (AR) — — R²: 0.1028 [0.08882, 0.11678]
Incremental R2 (full-covars): 0.00145
PGS R2 (no covariates): 0.00628 [0.00245, 0.01011]		 age, sex, UKB array type, Genotype PCs —
PPM008402 PGS001134
(GBE_INI4080)
 PSS007270|
European Ancestry|
63,823 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Systolic BP (AR) — — R²: 0.17232 [0.16713, 0.17751]
Incremental R2 (full-covars): 0.04845
PGS R2 (no covariates): 0.04834 [0.04519, 0.0515]		 age, sex, UKB array type, Genotype PCs —
PPM010946 PGS002009
(portability-PLR_systolic_BP)
 PSS009494|
European Ancestry|
18,717 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2548 [0.2414, 0.2682] sex, age, birth date, deprivation index, 16 PCs —
PPM010947 PGS002009
(portability-PLR_systolic_BP)
 PSS009268|
European Ancestry|
3,930 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2702 [0.2409, 0.299] sex, age, birth date, deprivation index, 16 PCs —
PPM010948 PGS002009
(portability-PLR_systolic_BP)
 PSS008822|
European Ancestry|
6,337 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2197 [0.1961, 0.243] sex, age, birth date, deprivation index, 16 PCs —
PPM010949 PGS002009
(portability-PLR_systolic_BP)
 PSS008596|
Greater Middle Eastern Ancestry|
1,151 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2284 [0.1724, 0.2829] sex, age, birth date, deprivation index, 16 PCs —
PPM010950 PGS002009
(portability-PLR_systolic_BP)
 PSS008374|
South Asian Ancestry|
6,098 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.1877 [0.1633, 0.2118] sex, age, birth date, deprivation index, 16 PCs —
PPM010951 PGS002009
(portability-PLR_systolic_BP)
 PSS008150|
East Asian Ancestry|
1,719 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2163 [0.1705, 0.2612] sex, age, birth date, deprivation index, 16 PCs —
PPM010953 PGS002009
(portability-PLR_systolic_BP)
 PSS009042|
African Ancestry|
3,850 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.1046 [0.0732, 0.1358] sex, age, birth date, deprivation index, 16 PCs —
PPM010952 PGS002009
(portability-PLR_systolic_BP)
 PSS007938|
African Ancestry|
2,438 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.104 [0.0644, 0.1433] sex, age, birth date, deprivation index, 16 PCs —
PPM020890 PGS002009
(portability-PLR_systolic_BP)
 PSS011442|
European Ancestry|
564 individuals
 PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.		 Reported Trait: Raised coronary lesion OR: 0.92 [0.77, 1.11] — — — —
PPM020895 PGS002009
(portability-PLR_systolic_BP)
 PSS011441|
African Ancestry|
504 individuals
 PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.		 Reported Trait: Raised coronary lesion OR: 1.06 [0.86, 1.31] — — — —
PPM012670 PGS002228
(portability-ldpred2_systolic_BP)
 PSS009494|
European Ancestry|
18,717 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2585 [0.2451, 0.2718] sex, age, birth date, deprivation index, 16 PCs —
PPM012671 PGS002228
(portability-ldpred2_systolic_BP)
 PSS009268|
European Ancestry|
3,930 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2775 [0.2483, 0.3061] sex, age, birth date, deprivation index, 16 PCs —
PPM012672 PGS002228
(portability-ldpred2_systolic_BP)
 PSS008822|
European Ancestry|
6,337 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2265 [0.203, 0.2498] sex, age, birth date, deprivation index, 16 PCs —
PPM012673 PGS002228
(portability-ldpred2_systolic_BP)
 PSS008596|
Greater Middle Eastern Ancestry|
1,151 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.2233 [0.1672, 0.278] sex, age, birth date, deprivation index, 16 PCs —
PPM012674 PGS002228
(portability-ldpred2_systolic_BP)
 PSS008374|
South Asian Ancestry|
6,098 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.1982 [0.1739, 0.2222] sex, age, birth date, deprivation index, 16 PCs —
PPM012675 PGS002228
(portability-ldpred2_systolic_BP)
 PSS008150|
East Asian Ancestry|
1,719 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.198 [0.1519, 0.2433] sex, age, birth date, deprivation index, 16 PCs —
PPM012676 PGS002228
(portability-ldpred2_systolic_BP)
 PSS007938|
African Ancestry|
2,438 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.0959 [0.0563, 0.1353] sex, age, birth date, deprivation index, 16 PCs —
PPM012677 PGS002228
(portability-ldpred2_systolic_BP)
 PSS009042|
African Ancestry|
3,850 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Systolic blood pressure, automated reading — — Partial Correlation (partial-r): 0.0994 [0.0679, 0.1306] sex, age, birth date, deprivation index, 16 PCs —
PPM012729 PGS002238
(SBP_PRS)
 PSS009511|
African Ancestry|
10,052 individuals
 PGP000270 |
Breeyear JH et al. Circ Genom Precis Med (2022)
 Reported Trait: Apparent Treatment-Resistant Hypertension OR: 1.05 [0.95, 1.17] AUROC: 0.666 [0.637, 0.683] — age, age^2, bmi, sex, top 10 principal components of ancestry —
PPM012730 PGS002238
(SBP_PRS)
 PSS009512|
European Ancestry|
57,090 individuals
 PGP000270 |
Breeyear JH et al. Circ Genom Precis Med (2022)
 Reported Trait: Apparent Treatment-Resistant Hypertension OR: 1.11 [1.06, 1.17] AUROC: 0.68 [0.669, 0.689] — age, age^2, bmi, sex, top 10 principal components of ancestry —
PPM012731 PGS002238
(SBP_PRS)
 PSS009510|
Ancestry Not Reported|
4,407 individuals
 PGP000270 |
Breeyear JH et al. Circ Genom Precis Med (2022)
 Reported Trait: Apparent Treatment-Resistant Hypertension OR: 1.1 [1.05, 1.15] AUROC: 0.682 [0.67, 0.687] — age, age^2, bmi, sex, top 10 principal components of ancestry —
PPM012835 PGS002257
(GRS901_SBP)
 PSS009574|
European Ancestry|
14,004 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Systolic blood pressure β: 2.06 [1.79, 2.32] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012836 PGS002257
(GRS901_SBP)
 PSS009574|
European Ancestry|
14,004 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Diastolic blood pressure β: 1.64 [1.46, 1.81] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012837 PGS002257
(GRS901_SBP)
 PSS009574|
European Ancestry|
14,004 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Pulse pressure β: 0.42 [0.25, 0.58] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012838 PGS002257
(GRS901_SBP)
 PSS009574|
European Ancestry|
14,004 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Hypertension OR: 1.27 [1.23, 1.32] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012839 PGS002257
(GRS901_SBP)
 PSS009575|
African Ancestry|
6,970 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Systolic blood pressure β: 2.38 [1.85, 2.9] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012840 PGS002257
(GRS901_SBP)
 PSS009575|
African Ancestry|
6,970 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Diastolic blood pressure β: 1.39 [1.09, 1.7] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012841 PGS002257
(GRS901_SBP)
 PSS009575|
African Ancestry|
6,970 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Pulse pressure β: 0.99 [0.65, 1.32] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012842 PGS002257
(GRS901_SBP)
 PSS009575|
African Ancestry|
6,970 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Hypertension OR: 1.26 [1.2, 1.33] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012843 PGS002257
(GRS901_SBP)
 PSS009576|
South Asian Ancestry|
8,827 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Systolic blood pressure β: 2.58 [2.13, 3.03] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012844 PGS002257
(GRS901_SBP)
 PSS009576|
South Asian Ancestry|
8,827 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Diastolic blood pressure β: 1.49 [1.25, 1.74] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012845 PGS002257
(GRS901_SBP)
 PSS009576|
South Asian Ancestry|
8,827 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Pulse pressure β: 1.09 [0.8, 1.39] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012846 PGS002257
(GRS901_SBP)
 PSS009576|
South Asian Ancestry|
8,827 individuals
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Reported Trait: Hypertension OR: 1.3 [1.24, 1.36] — — — *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012863 PGS002257
(GRS901_SBP)
 PSS009584|
European Ancestry|
55,439 individuals
 PGP000284 |
Tapela NM et al. Eur J Prev Cardiol (2021)
|Ext.		 Reported Trait: Uncontrolled hypertension — — Odds Ratio (OR, top vs. bottom quintile): 1.7 [1.6, 1.8] age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), number of antihypertensives and the first four principal components of genetic ancestry, genotyping array and LDL-C value at baseline 881 SNPs remained after QC
PPM012864 PGS002257
(GRS901_SBP)
 PSS009581|
European Ancestry|
55,439 individuals
 PGP000284 |
Tapela NM et al. Eur J Prev Cardiol (2021)
|Ext.		 Reported Trait: Incident major adverse cardiovascular events in hypertension treatment — — Hazard Ratio (HR, top vs. bottom quintile): 1.13 [1.04, 1.23] age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), number of antihypertensives and the first four principal components of genetic ancestry, genotyping array and LDL-C value at baseline 881 SNPs remained after QC
PPM012865 PGS002257
(GRS901_SBP)
 PSS009582|
European Ancestry|
55,439 individuals
 PGP000284 |
Tapela NM et al. Eur J Prev Cardiol (2021)
|Ext.		 Reported Trait: Incident myocardial infarction in hypertension treatment — — Hazard Ratio (HR, top vs. bottom quintile): 1.08 [0.97, 1.2] age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), number of antihypertensives and the first four principal components of genetic ancestry, genotyping array and LDL-C value at baseline 881 SNPs remained after QC
PPM012866 PGS002257
(GRS901_SBP)
 PSS009583|
European Ancestry|
55,439 individuals
 PGP000284 |
Tapela NM et al. Eur J Prev Cardiol (2021)
|Ext.		 Reported Trait: Incident stroke in hypertension treatment — — Hazard Ratio (HR, top vs. bottom quintile): 1.22 [1.06, 1.41] age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), number of antihypertensives and the first four principal components of genetic ancestry, genotyping array and LDL-C value at baseline 881 SNPs remained after QC
PPM013002 PGS002257
(GRS901_SBP)
 PSS009643|
Ancestry Not Reported|
6,335 individuals
 PGP000317 |
Parcha V et al. Hypertension (2022)
|Ext.		 Reported Trait: Diastolic blood pressure β: 0.65 — — PGS002258, age, age^2, sex, BMI, randomization arm, history of CVD event, serum creatinine, fasting blood glucose, LDL levels, 10 genetic PCs *NOTE*: PGS is calculated as an average of PGS002257 and PGS002258
PPM013003 PGS002257
(GRS901_SBP)
 PSS009643|
Ancestry Not Reported|
6,335 individuals
 PGP000317 |
Parcha V et al. Hypertension (2022)
|Ext.		 Reported Trait: Adverse cardiovascular events HR: 1.12 [1.02, 1.23] — — PGS002258 *NOTE*: PGS is calculated as an average of PGS002257 and PGS002258
PPM013001 PGS002257
(GRS901_SBP)
 PSS009643|
Ancestry Not Reported|
6,335 individuals
 PGP000317 |
Parcha V et al. Hypertension (2022)
|Ext.		 Reported Trait: Systolic blood pressure β: 1.93 — — PGS002258, age, age^2, sex, BMI, randomization arm, history of CVD event, serum creatinine, fasting blood glucose, LDL levels, 10 genetic PCs *NOTE*: PGS is calculated as an average of PGS002257 and PGS002258
PPM015498 PGS002257
(GRS901_SBP)
 PSS009963|
European Ancestry|
33,770 individuals
 PGP000376 |
Åberg F et al. Sci Rep (2022)
|Ext.		 Reported Trait: Liver-related outcome HR: 1.19 [1.01, 1.24] — — Age, sex, body mass index, waist circumference, weekly alcohol use, fraction of alcohol use as wine, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, diabetes, exercise habits, smoking status (current, former, never smoker) and baseline cardiovascular disease —
PPM020416 PGS002257
(GRS901_SBP)
 PSS011352|
Multi-ancestry (including European)|
23,030 individuals
 PGP000550 |
Li C et al. J Glob Health (2023)
|Ext.		 Reported Trait: Incident diabetic retinopathy — — Hazard ratio (HR, high vs low PRS tertile): 1.48 [1.21, 1.82] Age, sex, body mass index, ethnicity, Townsend index, smoking status, alcohol consumption, glycosylated haemoglobin, duration of diabetes, anti-hyperglycaemic medication, anti-hypertensive medication, low-density lipoprotein cholesterol —
PPM020417 PGS002257
(GRS901_SBP)
 PSS011352|
Multi-ancestry (including European)|
23,030 individuals
 PGP000550 |
Li C et al. J Glob Health (2023)
|Ext.		 Reported Trait: Incident diabetic kidney disease — — Hazard ratio (HR, high vs low PRS tertile): 2.8 [1.57, 4.98] Age, sex, body mass index, ethnicity, Townsend index, smoking status, alcohol consumption, glycosylated haemoglobin, duration of diabetes, anti-hyperglycaemic medication, anti-hypertensive medication, estimated glomerular filtration rate —
PPM020418 PGS002257
(GRS901_SBP)
 PSS011352|
Multi-ancestry (including European)|
23,030 individuals
 PGP000550 |
Li C et al. J Glob Health (2023)
|Ext.		 Reported Trait: Incident diabetic neuropathy — — Hazard ratio (HR, high vs low PRS tertile): 1.04 [0.77, 1.42] Age, sex, body mass index, ethnicity, Townsend index, smoking status, alcohol consumption, glycosylated haemoglobin, duration of diabetes, anti-hyperglycaemic medication, anti-hypertensive medication, estimated glomerular filtration rate —
PPM020415 PGS002257
(GRS901_SBP)
 PSS011352|
Multi-ancestry (including European)|
23,030 individuals
 PGP000550 |
Li C et al. J Glob Health (2023)
|Ext.		 Reported Trait: Incident diabetic microvascular complications — — Hazard ratio (HR, high vs low PRS tertile): 1.32 [1.11, 1.56] Age, sex, body mass index, ethnicity, Townsend index, smoking status, alcohol consumption, glycosylated haemoglobin, duration of diabetes, anti-hyperglycaemic medication, anti-hypertensive medication, low-density lipoprotein cholesterol and estimated glomerular filtration rate —
PPM012945 PGS002275
(SBP-PRS)
 PSS009627|
European Ancestry|
4,416 individuals
 PGP000303 |
Groenland EH et al. Atherosclerosis (2022)
 Reported Trait: Systolic blood pressure β: 3.19 [2.6, 3.78] — — Age, sex, the first 5 principal components, BMI, T2DM, smoking, alcohol use, LDL-cholesterol, eGFR, triglycerides, antihypertensive medication —
PPM013114 PGS002349
(bp_SYSTOLICadjMEDz.BOLT-LMM)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0236 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013163 PGS002349
(bp_SYSTOLICadjMEDz.BOLT-LMM)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.07 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013212 PGS002349
(bp_SYSTOLICadjMEDz.BOLT-LMM)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.106 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013261 PGS002349
(bp_SYSTOLICadjMEDz.BOLT-LMM)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0691 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013288 PGS002376
(bp_SYSTOLICadjMEDz.BOLT-LMM-BBJ)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0005 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013311 PGS002376
(bp_SYSTOLICadjMEDz.BOLT-LMM-BBJ)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0426 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013334 PGS002376
(bp_SYSTOLICadjMEDz.BOLT-LMM-BBJ)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0016 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013357 PGS002376
(bp_SYSTOLICadjMEDz.BOLT-LMM-BBJ)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0019 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013402 PGS002421
(bp_SYSTOLICadjMEDz.P+T.0.0001)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0009 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013451 PGS002421
(bp_SYSTOLICadjMEDz.P+T.0.0001)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0346 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013500 PGS002421
(bp_SYSTOLICadjMEDz.P+T.0.0001)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0377 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013549 PGS002421
(bp_SYSTOLICadjMEDz.P+T.0.0001)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0187 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013598 PGS002470
(bp_SYSTOLICadjMEDz.P+T.0.001)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013647 PGS002470
(bp_SYSTOLICadjMEDz.P+T.0.001)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0078 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013696 PGS002470
(bp_SYSTOLICadjMEDz.P+T.0.001)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0305 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013745 PGS002470
(bp_SYSTOLICadjMEDz.P+T.0.001)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0106 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013794 PGS002519
(bp_SYSTOLICadjMEDz.P+T.0.01)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013843 PGS002519
(bp_SYSTOLICadjMEDz.P+T.0.01)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0042 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013892 PGS002519
(bp_SYSTOLICadjMEDz.P+T.0.01)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0151 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013941 PGS002519
(bp_SYSTOLICadjMEDz.P+T.0.01)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0037 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013990 PGS002568
(bp_SYSTOLICadjMEDz.P+T.1e-06)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0076 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014088 PGS002568
(bp_SYSTOLICadjMEDz.P+T.1e-06)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0271 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014137 PGS002568
(bp_SYSTOLICadjMEDz.P+T.1e-06)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0132 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014039 PGS002568
(bp_SYSTOLICadjMEDz.P+T.1e-06)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.031 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014186 PGS002617
(bp_SYSTOLICadjMEDz.P+T.5e-08)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0079 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014235 PGS002617
(bp_SYSTOLICadjMEDz.P+T.5e-08)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0269 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014284 PGS002617
(bp_SYSTOLICadjMEDz.P+T.5e-08)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.022 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014333 PGS002617
(bp_SYSTOLICadjMEDz.P+T.5e-08)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.011 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014382 PGS002666
(bp_SYSTOLICadjMEDz.PolyFun-pred)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0256 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_SYSTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014431 PGS002666
(bp_SYSTOLICadjMEDz.PolyFun-pred)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0819 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_SYSTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014480 PGS002666
(bp_SYSTOLICadjMEDz.PolyFun-pred)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1129 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_SYSTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014529 PGS002666
(bp_SYSTOLICadjMEDz.PolyFun-pred)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0723 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_SYSTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014578 PGS002715
(bp_SYSTOLICadjMEDz.SBayesR)
 PSS009839|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0236 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014627 PGS002715
(bp_SYSTOLICadjMEDz.SBayesR)
 PSS009840|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0629 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014676 PGS002715
(bp_SYSTOLICadjMEDz.SBayesR)
 PSS009841|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.103 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014725 PGS002715
(bp_SYSTOLICadjMEDz.SBayesR)
 PSS009842|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Systolic Blood Pressure — — Incremental R2 (full model vs. covariates alone): 0.0668 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014825 PGS002734
(GRS_SBP_362)
 PSS009904|
Ancestry Not Reported|
2,944 individuals
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Reported Trait: Systolic blood pressure levels untreated for hypertension — — Correlation: 0.062 [0.026, 0.098] — —
PPM014826 PGS002734
(GRS_SBP_362)
 PSS009905|
Ancestry Not Reported|
2,541 individuals
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Reported Trait: Systolic blood pressure levels untreated for hypertension — — Correlation: 0.783 [0.488, 1.079] — —
PPM014827 PGS002734
(GRS_SBP_362)
 PSS009906|
Ancestry Not Reported|
1,920 individuals
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Reported Trait: Systolic blood pressure levels untreated for hypertension — — Correlation: 0.05 [0.003, 0.096] — —
PPM014828 PGS002734
(GRS_SBP_362)
 PSS009903|
Ancestry Not Reported|
4,333 individuals
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Reported Trait: Systolic blood pressure levels treated for hypertension — — Correlation: 0.054 [-0.006, 0.113] — —
PPM014829 PGS002734
(GRS_SBP_362)
 PSS009904|
Ancestry Not Reported|
2,944 individuals
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Reported Trait: Systolic blood pressure levels treated for hypertension — — Correlation: 0.045 [-0.011, 0.102] — —
PPM014830 PGS002734
(GRS_SBP_362)
 PSS009905|
Ancestry Not Reported|
2,541 individuals
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Reported Trait: Systolic blood pressure levels treated for hypertension — — Correlation: 0.05 [-0.012, 0.111] — —
PPM014831 PGS002734
(GRS_SBP_362)
 PSS009906|
Ancestry Not Reported|
1,920 individuals
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Reported Trait: Systolic blood pressure levels treated for hypertension — — Correlation: 0.066 [-0.001, 0.133] — —
PPM014824 PGS002734
(GRS_SBP_362)
 PSS009903|
Ancestry Not Reported|
4,333 individuals
 PGP000343 |
Marques-Vidal P et al. J Hypertens (2022)
 Reported Trait: Systolic blood pressure levels untreated for hypertension — — Correlation: 0.086 [0.058, 0.115] — —
PPM015554 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident CVD events HR: 1.1 [1.03, 1.17] C-index: 0.58 — — —
PPM015562 PGS002807
(PRSCS_SBP)
 PSS009982|
Multi-ancestry (including European)|
44,098 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Hypertension OR: 1.28 [1.25, 1.3] — R²: 0.10982 — —
PPM015539 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Diastolic blood pressure β: 2.04 [1.89, 2.19] — R²: 0.12136 — —
PPM015549 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Diastolic blood pressure β: 1.07 [0.78, 1.36] — R²: 0.05373 — —
PPM015550 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Mean arterial pressure β: 1.71 [1.39, 2.04] — R²: 0.02742 — —
PPM015540 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Mean arterial pressure β: 2.82 [2.65, 3.0] — R²: 0.15868 — —
PPM015541 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Pulse pressure β: 2.35 [2.17, 2.53] — R²: 0.31658 — —
PPM015542 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Hypertension OR: 1.51 [1.46, 1.55] — R²: 0.21395 — —
PPM015543 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident ASCVD events HR: 1.05 [1.02, 1.08] C-index: 0.77 — — —
PPM015544 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident CVD events HR: 1.06 [1.03, 1.09] C-index: 0.76 — — —
PPM015545 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident CHF events HR: 1.04 [1.0, 1.09] C-index: 0.83 — — —
PPM015547 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident stroke events HR: 1.04 [1.0, 1.09] C-index: 0.76 — — —
PPM015548 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Systolic blood pressure β: 2.33 [1.9, 2.75] — R²: 0.03615 — —
PPM015551 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Pulse pressure β: 1.94 [1.58, 2.3] — R²: 0.1185 — —
PPM015552 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Hypertension OR: 1.51 [1.39, 1.64] — R²: 0.04804 — —
PPM015553 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident ASCVD events HR: 1.13 [1.06, 1.19] C-index: 0.59 — — —
PPM015555 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident CHF events HR: 1.18 [1.06, 1.3] C-index: 0.65 — — —
PPM015556 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident CHD events HR: 1.1 [1.03, 1.17] C-index: 0.58 — — —
PPM015557 PGS002807
(PRSCS_SBP)
 PSS009981|
Multi-ancestry (including European)|
6,335 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident stroke events HR: 1.15 [0.96, 1.34] C-index: 0.69 — — —
PPM015558 PGS002807
(PRSCS_SBP)
 PSS009982|
Multi-ancestry (including European)|
44,098 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Systolic blood pressure β: 2.96 [2.79, 3.12] — R²: 0.16035 — —
PPM015559 PGS002807
(PRSCS_SBP)
 PSS009982|
Multi-ancestry (including European)|
44,098 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Diastolic blood pressure β: 1.43 [1.32, 1.54] — R²: 0.05359 — —
PPM015560 PGS002807
(PRSCS_SBP)
 PSS009982|
Multi-ancestry (including European)|
44,098 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Mean arterial pressure β: 1.94 [1.82, 2.06] — R²: 0.08936 — —
PPM015561 PGS002807
(PRSCS_SBP)
 PSS009982|
Multi-ancestry (including European)|
44,098 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Pulse pressure β: 1.53 [1.41, 1.64] — R²: 0.21397 — —
PPM015538 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Systolic blood pressure β: 4.39 [4.13, 4.65] — R²: 0.23786 — —
PPM015546 PGS002807
(PRSCS_SBP)
 PSS009980|
Multi-ancestry (including European)|
21,883 individuals
 PGP000384 |
Parcha V et al. Circ Genom Precis Med (2022)
 Reported Trait: Incident CHD events HR: 1.07 [1.04, 1.11] C-index: 0.77 — — —
PPM015933 PGS003069
(ExPRSweb_SBP_4080-irnt_LASSOSUM_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 2.26 (0.0794) — R²: 0.0285 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015936 PGS003070
(ExPRSweb_SBP_4080-irnt_PT_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 2.15 (0.0809) — R²: 0.0246 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015934 PGS003071
(ExPRSweb_SBP_4080-irnt_PLINK_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 1.8 (0.0806) — R²: 0.0179 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015932 PGS003072
(ExPRSweb_SBP_4080-irnt_DBSLMM_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 2.03 (0.0795) — R²: 0.0236 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015935 PGS003073
(ExPRSweb_SBP_4080-irnt_PRSCS_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 2.34 (0.0798) — R²: 0.0297 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015938 PGS003074
(ExPRSweb_SBP_4080-raw_LASSOSUM_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 2.22 (0.0793) — R²: 0.0277 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015941 PGS003075
(ExPRSweb_SBP_4080-raw_PT_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 2.12 (0.0814) — R²: 0.0234 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015939 PGS003076
(ExPRSweb_SBP_4080-raw_PLINK_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 1.79 (0.0805) — R²: 0.0183 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015937 PGS003077
(ExPRSweb_SBP_4080-raw_DBSLMM_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 1.99 (0.0799) — R²: 0.0224 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015940 PGS003078
(ExPRSweb_SBP_4080-raw_PRSCS_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 2.33 (0.08) — R²: 0.0295 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015943 PGS003079
(ExPRSweb_SBP_93-irnt_LASSOSUM_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.622 (0.0788) — R²: 0.00238 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015946 PGS003080
(ExPRSweb_SBP_93-irnt_PT_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.609 (0.0788) — R²: 0.0024 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015944 PGS003081
(ExPRSweb_SBP_93-irnt_PLINK_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.507 (0.0806) — R²: 0.00175 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015942 PGS003082
(ExPRSweb_SBP_93-irnt_DBSLMM_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.383 (0.0789) — R²: 0.00106 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015945 PGS003083
(ExPRSweb_SBP_93-irnt_PRSCS_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.848 (0.0794) — R²: 0.00432 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015948 PGS003084
(ExPRSweb_SBP_93-raw_LASSOSUM_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.642 (0.0788) — R²: 0.00251 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015951 PGS003085
(ExPRSweb_SBP_93-raw_PT_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.557 (0.0788) — R²: 0.00188 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015949 PGS003086
(ExPRSweb_SBP_93-raw_PLINK_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.464 (0.0799) — R²: 0.00148 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015947 PGS003087
(ExPRSweb_SBP_93-raw_DBSLMM_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.33 (0.0788) — R²: 0.00076 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015950 PGS003088
(ExPRSweb_SBP_93-raw_PRSCS_MGI_20211120)
 PSS010011|
European Ancestry|
23,072 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Systolic Blood Pressure β: 0.794 (0.0792) — R²: 0.00358 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM017499 PGS003571
(cont-decay-systolic_BP)
 PSS010939|
European Ancestry|
18,679 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.07 sex, age, deprivation index, PC1-16 —
PPM017583 PGS003571
(cont-decay-systolic_BP)
 PSS010855|
European Ancestry|
3,920 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.07 sex, age, deprivation index, PC1-16 —
PPM017667 PGS003571
(cont-decay-systolic_BP)
 PSS010687|
European Ancestry|
6,181 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM017751 PGS003571
(cont-decay-systolic_BP)
 PSS010603|
Greater Middle Eastern Ancestry|
1,122 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM017919 PGS003571
(cont-decay-systolic_BP)
 PSS010519|
South Asian Ancestry|
6,050 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM018003 PGS003571
(cont-decay-systolic_BP)
 PSS010435|
East Asian Ancestry|
1,709 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM018087 PGS003571
(cont-decay-systolic_BP)
 PSS010351|
African Ancestry|
2,424 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM018171 PGS003571
(cont-decay-systolic_BP)
 PSS010771|
African Ancestry|
3,819 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM017835 PGS003571
(cont-decay-systolic_BP)
 PSS010267|
European Ancestry|
2,194 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Systolic blood pressure, automated reading — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM018282 PGS003588
(SBP)
 PSS010956|
European Ancestry|
25,582 individuals
 PGP000462 |
Honigberg MC et al. Nat Med (2023)
 Reported Trait: Pre-eclampsia/eclampsia OR: 1.24 [1.17, 1.3] — — maternal age at delivery, age2, and the first ten principal components of genetic ancestry —
PPM018774 PGS003882
(SBP_PRScs_ARB)
 PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Reported Trait: Systolic blood pressure β: 3.1 (0.44) — R²: 0.1108 age, sex, array version, and the first 10 principal components of ancestry —
PPM019121 PGS003968
(SBP_weightedPRSsum)
 PSS011189|
Multi-ancestry (including European)|
88,521 individuals
 PGP000510 |
Kurniansyah N et al. Nat Commun (2023)
 Reported Trait: Systolic blood pressure β: 3.62 [3.47, 3.77] — — age, sex at birth, BMI, self-reported race/ethnicity, and the first 10 PCs of genetic data best performing SBP PRSs as selected in the TOPMed dataset (PRS-CSx2)
PPM019124 PGS003970
(HARE_META_SBP_PRS_MALE)
 PSS011192|
Multi-ancestry (including European)|
84,990 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Systolic Blood Pressure β: 1.95 (0.06) — R²: 0.09 — —
PPM019126 PGS003970
(HARE_META_SBP_PRS_MALE)
 PSS011192|
Multi-ancestry (including European)|
84,990 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension OR: 1.22 [1.2, 1.23] — R²: 0.05 — —
PPM019128 PGS003970
(HARE_META_SBP_PRS_MALE)
 PSS011192|
Multi-ancestry (including European)|
84,990 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.61 [1.46, 1.77] age, and the first 10 principal components of genetic ancestry —
PPM019130 PGS003970
(HARE_META_SBP_PRS_MALE)
 PSS011196|
Multi-ancestry (including European)|
33,632 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.47 [1.27, 1.71] age, and the first 10 principal components of genetic ancestry —
PPM019132 PGS003970
(HARE_META_SBP_PRS_MALE)
 PSS011194|
Multi-ancestry (including European)|
51,358 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.61 [1.44, 1.8] age, and the first 10 principal components of genetic ancestry —
PPM019125 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 PSS011191|
Multi-ancestry (including European)|
127,679 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Systolic Blood Pressure β: 2.47 (0.05) — R²: 0.18 — —
PPM019127 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 PSS011191|
Multi-ancestry (including European)|
127,679 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension OR: 1.29 [1.27, 1.3] — R²: 0.11 — —
PPM019129 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 PSS011191|
Multi-ancestry (including European)|
127,679 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.81 [1.68, 1.95] age, and the first 10 principal components of genetic ancestry —
PPM019131 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 PSS011195|
Multi-ancestry (including European)|
60,049 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.71 [1.48, 1.98] age, and the first 10 principal components of genetic ancestry —
PPM019133 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 PSS011193|
Multi-ancestry (including European)|
67,630 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.65 [1.45, 1.84] age, and the first 10 principal components of genetic ancestry —
PPM020229 PGS004231
(PRS732_SBP)
 PSS011310|
European Ancestry|
1,750 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Systolic blood pressure — — Beta (beta, top PRS quintile vs bottom PRS quintile): 3.62 (1.39) — —
PPM020230 PGS004231
(PRS732_SBP)
 PSS011310|
European Ancestry|
1,750 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Resistant blood pressure — — Odds ratio (OR, top PRS quintile vs bottom PRS quintile): 2.27 [1.3, 4.1] — —
PPM020232 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Systolic blood pressure in all stroke — — Beta (beta, top PRS quintile vs bottom PRS quintile): 5.97 (0.76) age, sex, and vascular risk factors —
PPM020233 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Uncontrolled blood pressure in all stroke — — Odds ratio (OR, top PRS quintile vs bottom PRS quintile): 1.71 [1.45, 2.03] age, sex, and vascular risk factors —
PPM020234 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Resistant blood pressure in all stroke — — Odds ratio (OR, top PRS quintile vs bottom PRS quintile): 2.25 [1.59, 3.25] age, sex, and vascular risk factors —
PPM020238 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Systolic blood pressure in Ischemic stroke — — Beta (beta, top PRS quintile vs bottom PRS quintile): 4.89 (1.51) age, sex, and vascular risk factors —
PPM020240 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Resistant blood pressure in Ischemic stroke — — Odds ratio (OR, top PRS quintile vs bottom PRS quintile): 2.65 [1.39, 5.35] age, sex, and vascular risk factors —
PPM020244 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Systolic blood pressure in Hemorrhagic stroke — — Beta (beta, top PRS quintile vs bottom PRS quintile): 4.84 (1.91) age, sex, and vascular risk factors —
PPM020245 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Uncontrolled blood pressure in Hemorrhagic stroke — — Odds ratio (OR, top PRS quintile vs bottom PRS quintile): 2.17 [1.41, 3.36] age, sex, and vascular risk factors —
PPM020246 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Resistant blood pressure in Hemorrhagic stroke — — Odds ratio (OR, top PRS quintile vs bottom PRS quintile): 1.77 [0.69, 4.97] age, sex, and vascular risk factors —
PPM020239 PGS004231
(PRS732_SBP)
 PSS011309|
European Ancestry|
408,475 individuals
 PGP000529 |
Acosta JN et al. Neurology (2023)
 Reported Trait: Uncontrolled blood pressure in Ischemic stroke — — Odds ratio (OR, top PRS quintile vs bottom PRS quintile): 1.73 [1.23, 2.43] age, sex, and vascular risk factors —
PPM020254 PGS004235
(SBP_MVP)
 PSS011312|
Multi-ancestry (including European)|
39,035 individuals
 PGP000531 |
Kurniansyah N et al. Nat Commun (2022)
 Reported Trait: Prevelant hypertension — AUROC: 0.757 [0.744, 0.771] — sex, age, age2, study site, race/ethnic background, smoking status, BMI, and 11 ancestral principal components —
PPM020487 PGS004372
(X4080.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Systolic blood pressure, automated reading — — PGS R2 (no covariates): 0.18257 — —
PPM020741 PGS004594
(ukb.sbp.female)
 PSS011387|
European Ancestry|
138,317 individuals
 PGP000574 |
Nurkkala J et al. J Hypertens (2022)
 Reported Trait: Gestational hypertension HR: 1.38 [1.35, 1.41] — — Collection year, genotyping batch, and the first 10 genetic principal components —
PPM020742 PGS004594
(ukb.sbp.female)
 PSS011388|
European Ancestry|
136,354 individuals
 PGP000574 |
Nurkkala J et al. J Hypertens (2022)
 Reported Trait: Preeclampsia HR: 1.26 [1.23, 1.29] — — Collection year, genotyping batch, and the first 10 genetic principal components —
PPM020761 PGS004603
(SBP-meta-analysis)
 PSS011397|
European Ancestry|
10,210 individuals
 PGP000581 |
Keaton JM et al. Nat Genet (2024)
 Reported Trait: Systolic blood pressure — — R²: 0.1137
beta (high vs low tertile): 16.85		 Age, Age2, Sex, BMI —
PPM020764 PGS004603
(SBP-meta-analysis)
 PSS011396|
African Ancestry|
21,843 individuals
 PGP000581 |
Keaton JM et al. Nat Genet (2024)
 Reported Trait: Systolic blood pressure — — beta (high vs low tertile): 10.59 Age, Age2, Sex, BMI —
PPM021054 PGS004829
(sbp_PRSmix_eur)
 PSS011465|
European Ancestry|
9,462 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Systolic blood pressure — — Incremental R2 (Full model versus model with only covariates): 0.037 [0.029, 0.044] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021055 PGS004830
(sbp_PRSmix_sas)
 PSS011505|
South Asian Ancestry|
7,188 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Systolic blood pressure — — Incremental R2 (Full model versus model with only covariates): 0.036 [0.027, 0.044] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021056 PGS004831
(sbp_PRSmixPlus_eur)
 PSS011465|
European Ancestry|
9,462 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Systolic blood pressure — — Incremental R2 (Full model versus model with only covariates): 0.043 [0.035, 0.051] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021057 PGS004832
(sbp_PRSmixPlus_sas)
 PSS011505|
South Asian Ancestry|
7,188 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Systolic blood pressure — — Incremental R2 (Full model versus model with only covariates): 0.044 [0.035, 0.054] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM022151 PGS005008
(mean_Systolic_INT_ldpred_AFRss_afrld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.083 [0.07, 0.09] — R²: 0.008 score previously adjusted for age, sex, 20 PCs —
PPM022157 PGS005008
(mean_Systolic_INT_ldpred_AFRss_afrld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.114 [0.1, 0.13] — R²: 0.015 score previously adjusted for age, sex, 20 PCs —
PPM022163 PGS005008
(mean_Systolic_INT_ldpred_AFRss_afrld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.102 [0.09, 0.12] — R²: 0.013 score previously adjusted for age, sex, 20 PCs —
PPM022153 PGS005009
(mean_Systolic_INT_ldpred_EURss_eurld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.167 [0.16, 0.18] — R²: 0.032 score previously adjusted for age, sex, 20 PCs —
PPM022159 PGS005009
(mean_Systolic_INT_ldpred_EURss_eurld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.084 [0.07, 0.1] — R²: 0.008 score previously adjusted for age, sex, 20 PCs —
PPM022165 PGS005009
(mean_Systolic_INT_ldpred_EURss_eurld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.143 [0.13, 0.16] — R²: 0.026 score previously adjusted for age, sex, 20 PCs —
PPM022152 PGS005010
(mean_Systolic_INT_ldpred_HISss_amrld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.097 [0.09, 0.11] — R²: 0.011 score previously adjusted for age, sex, 20 PCs —
PPM022158 PGS005010
(mean_Systolic_INT_ldpred_HISss_amrld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.072 [0.06, 0.08] — R²: 0.006 score previously adjusted for age, sex, 20 PCs —
PPM022164 PGS005010
(mean_Systolic_INT_ldpred_HISss_amrld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.122 [0.11, 0.14] — R²: 0.019 score previously adjusted for age, sex, 20 PCs —
PPM022148 PGS005011
(mean_Systolic_INT_ldpred_METAss_afrld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.16 [0.15, 0.17] — R²: 0.03 score previously adjusted for age, sex, 20 PCs —
PPM022154 PGS005011
(mean_Systolic_INT_ldpred_METAss_afrld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.131 [0.12, 0.14] — R²: 0.02 score previously adjusted for age, sex, 20 PCs —
PPM022160 PGS005011
(mean_Systolic_INT_ldpred_METAss_afrld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.16 [0.14, 0.17] — R²: 0.032 score previously adjusted for age, sex, 20 PCs —
PPM022149 PGS005012
(mean_Systolic_INT_ldpred_METAss_amrld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.184 [0.18, 0.19] — R²: 0.039 score previously adjusted for age, sex, 20 PCs —
PPM022161 PGS005012
(mean_Systolic_INT_ldpred_METAss_amrld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.185 [0.17, 0.2] — R²: 0.043 score previously adjusted for age, sex, 20 PCs —
PPM022155 PGS005012
(mean_Systolic_INT_ldpred_METAss_amrld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.145 [0.13, 0.16] — R²: 0.024 score previously adjusted for age, sex, 20 PCs —
PPM022150 PGS005013
(mean_Systolic_INT_ldpred_METAss_eurld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.194 [0.19, 0.2] — R²: 0.044 score previously adjusted for age, sex, 20 PCs —
PPM022156 PGS005013
(mean_Systolic_INT_ldpred_METAss_eurld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.138 [0.12, 0.15] — R²: 0.022 score previously adjusted for age, sex, 20 PCs —
PPM022162 PGS005013
(mean_Systolic_INT_ldpred_METAss_eurld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.177 [0.16, 0.19] — R²: 0.039 score previously adjusted for age, sex, 20 PCs —
PPM022059 PGS005014
(mean_Systolic_INT_prscs_AFRss_afrld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.082 [0.07, 0.09] — R²: 0.008 score previously adjusted for age, sex, 20 PCs —
PPM022066 PGS005014
(mean_Systolic_INT_prscs_AFRss_afrld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.098 [0.09, 0.11] — R²: 0.011 score previously adjusted for age, sex, 20 PCs —
PPM022073 PGS005014
(mean_Systolic_INT_prscs_AFRss_afrld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.087 [0.07, 0.1] — R²: 0.009 score previously adjusted for age, sex, 20 PCs —
PPM022068 PGS005015
(mean_Systolic_INT_prscs_EURss_eurld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.107 [0.09, 0.12] — R²: 0.013 score previously adjusted for age, sex, 20 PCs —
PPM022075 PGS005015
(mean_Systolic_INT_prscs_EURss_eurld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.176 [0.16, 0.19] — R²: 0.039 score previously adjusted for age, sex, 20 PCs —
PPM022061 PGS005015
(mean_Systolic_INT_prscs_EURss_eurld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.191 [0.18, 0.2] — R²: 0.042 score previously adjusted for age, sex, 20 PCs —
PPM022060 PGS005016
(mean_Systolic_INT_prscs_HISss_amrld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.095 [0.09, 0.1] — R²: 0.01 score previously adjusted for age, sex, 20 PCs —
PPM022067 PGS005016
(mean_Systolic_INT_prscs_HISss_amrld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.066 [0.05, 0.08] — R²: 0.005 score previously adjusted for age, sex, 20 PCs —
PPM022074 PGS005016
(mean_Systolic_INT_prscs_HISss_amrld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.111 [0.1, 0.13] — R²: 0.015 score previously adjusted for age, sex, 20 PCs —
PPM022056 PGS005017
(mean_Systolic_INT_prscs_METAss_afrld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.128 [0.12, 0.14] — R²: 0.019 score previously adjusted for age, sex, 20 PCs —
PPM022063 PGS005017
(mean_Systolic_INT_prscs_METAss_afrld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.104 [0.09, 0.12] — R²: 0.012 score previously adjusted for age, sex, 20 PCs —
PPM022070 PGS005017
(mean_Systolic_INT_prscs_METAss_afrld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.128 [0.11, 0.14] — R²: 0.02 score previously adjusted for age, sex, 20 PCs —
PPM022057 PGS005018
(mean_Systolic_INT_prscs_METAss_amrld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.178 [0.17, 0.19] — R²: 0.037 score previously adjusted for age, sex, 20 PCs —
PPM022071 PGS005018
(mean_Systolic_INT_prscs_METAss_amrld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.177 [0.16, 0.19] — R²: 0.039 score previously adjusted for age, sex, 20 PCs —
PPM022064 PGS005018
(mean_Systolic_INT_prscs_METAss_amrld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.141 [0.13, 0.15] — R²: 0.023 score previously adjusted for age, sex, 20 PCs —
PPM022058 PGS005019
(mean_Systolic_INT_prscs_METAss_eurld)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.189 [0.18, 0.2] — R²: 0.042 score previously adjusted for age, sex, 20 PCs —
PPM022065 PGS005019
(mean_Systolic_INT_prscs_METAss_eurld)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.137 [0.12, 0.15] — R²: 0.021 score previously adjusted for age, sex, 20 PCs —
PPM022072 PGS005019
(mean_Systolic_INT_prscs_METAss_eurld)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.18 [0.17, 0.2] — R²: 0.041 score previously adjusted for age, sex, 20 PCs —
PPM022062 PGS005020
(mean_Systolic_INT_prscsx_METAweight)
 PSS011804|
African Ancestry|
19,359 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.146 [0.13, 0.16] — R²: 0.024 score previously adjusted for age, sex, 20 PCs —
PPM022069 PGS005020
(mean_Systolic_INT_prscsx_METAweight)
 PSS011814|
Hispanic or Latin American Ancestry|
13,129 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.189 [0.17, 0.2] — R²: 0.045 score previously adjusted for age, sex, 20 PCs —
PPM022055 PGS005020
(mean_Systolic_INT_prscsx_METAweight)
 PSS011824|
European Ancestry|
45,505 individuals
 PGP000679 |
Gunn S et al. HGG Adv (2024)
 Reported Trait: Systolic blood pressure β: 0.19 [0.18, 0.2] — R²: 0.042 score previously adjusted for age, sex, 20 PCs —

Evaluated Samples

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
PSS008150 — — 1,719 individuals — East Asian China (East Asia) UKB —
PSS010687 — — 6,181 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS011441 — —
[
  • 165 cases
  • , 339 controls
]
,
82.0 % Male samples
 Mean = 27.5 years African unspecified — PDAY —
PSS011442 — —
[
  • 181 cases
  • , 383 controls
]
,
77.0 % Male samples
 Mean = 26.7 years European — PDAY —
PSS007266 — — 6,409 individuals — African unspecified — UKB —
PSS007267 — — 1,634 individuals — East Asian — UKB —
PSS007268 — — 23,726 individuals — European non-white British ancestry UKB —
PSS007269 — — 7,640 individuals — South Asian — UKB —
PSS007270 — — 63,823 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS010011 Systolic Blood Pressure; Quantitative — 23,072 individuals — European — MGI —
PSS001169 Cases were individuals with hypertension. Of the 27,804 cases, 13,279 had early-onset hypertension (age of onset < 55 years) whilst 14,525 had late-onset hypertension (age of onset ≥ 55 years). —
[
  • 27,804 cases
  • , 95,775 controls
]
,
0.0 % Male samples
 — European
(Finnish)		 — FinnGen —
PSS001170 Cases were individuals with hypertension. Of the 28,113 cases, 14,082 had early-onset hypertension (age of onset < 55 years) whilst 14,031 had late-onset hypertension (age of onset ≥ 55 years). —
[
  • 28,113 cases
  • , 67,100 controls
]
,
100.0 % Male samples
 — European
(Finnish)		 — FinnGen —
PSS009903 — — 4,333 individuals,
46.0 % Male samples
 Mean = 52.0 years Not reported — CoLaus CoLaus|PsyCoLaus
PSS009904 — — 2,944 individuals,
44.0 % Male samples
 Mean = 56.0 years Not reported — CoLaus CoLaus|PsyCoLaus
PSS009905 — — 2,541 individuals,
42.0 % Male samples
 Mean = 61.0 years Not reported — CoLaus CoLaus|PsyCoLaus
PSS009906 — — 1,920 individuals,
41.0 % Male samples
 Mean = 63.0 years Not reported — CoLaus CoLaus|PsyCoLaus
PSS009268 — — 3,930 individuals — European Poland (NE Europe) UKB —
PSS010771 — — 3,819 individuals,
46.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS010267 — — 2,194 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS009627 — — 4,416 individuals,
75.0 % Male samples
 European — UCC-SMART UCC-SMART
PSS011465 — — 9,462 individuals — European — AllofUs —
PSS011097 — — 2,669 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian)
(Arab)		 — NR N total after excluding missing values = 2,553
PSS008822 — — 6,337 individuals — European Italy (South Europe) UKB —
PSS009643 Corrected for baseline antihypertensive use — 6,335 individuals,
62.7 % Male samples
 Median = 62.1 years
Sd = [57.8, 67.1] years		 Not reported 30.4% non-White individuals ACCORD —
PSS011505 — — 7,188 individuals — South Asian — G&H —
PSS010855 — — 3,920 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS010351 — — 2,424 individuals,
36.0 % Male samples
 Mean = 52.5 years
Sd = 8.1 years		 African American or Afro-Caribbean Caribbean UKB —
PSS011309 — — 408,475 individuals,
59.0 % Male samples
 Mean = 61.0 years
Sd = 7.0 years		 European — UKB —
PSS011310 — — 1,750 individuals,
65.0 % Male samples
 Mean = 68.0 years
Sd = 11.0 years		 European — VISP —
PSS011312 — — 22,701 individuals,
27.8 % Male samples
 — European — ARIC, CHS, FHS, MESA, WHI —
PSS011312 — — 8,822 individuals,
31.9 % Male samples
 — African American or Afro-Caribbean — 6 cohorts
  • ARIC
  • ,CHS
  • ,GENOA
  • ,JHS
  • ,MESA
  • ,WHI
 —
PSS011312 — — 6,718 individuals,
38.0 % Male samples
 — Hispanic or Latin American — 6 cohorts
  • CHS
  • ,FHS
  • ,HCHS
  • ,MESA
  • ,SOL
  • ,WHI
 —
PSS011312 — — 794 individuals,
37.9 % Male samples
 — Asian unspecified — MESA, WHI —
PSS008374 — — 6,098 individuals — South Asian India (South Asia) UKB —
PSS009963 — Median = 12.9 years 33,770 individuals,
46.5 % Male samples
 Mean = 49.6 years European
(Finnish)		 Finland FINRISK, Health2000 —
PSS010939 — — 18,679 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010435 — — 1,709 individuals,
33.0 % Male samples
 Mean = 52.5 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS007938 — — 2,438 individuals — African American or Afro-Caribbean Carribean UKB —
PSS011352 — — 19,883 individuals — European — UKB Median age of full combined ancestry cohort = 61 years; mean follow-up time of full combined ancestry cohort = 11.95 years
PSS011352 — — 3,147 individuals — Not reported — UKB Median age of full combined ancestry cohort = 61 years; mean follow-up time of full combined ancestry cohort = 11.95 years
PSS010956 — —
[
  • 1,569 cases
  • , 24,013 controls
]
 — European — HUNT —
PSS009980 — — 14,069 individuals — European
(White)		 — 6 cohorts
  • ARIC
  • ,CARDIA
  • ,CHS
  • ,FHS
  • ,JHS
  • ,MESA
 —
PSS009494 — — 18,717 individuals — European UK (+ Ireland) UKB —
PSS009980 — — 6,186 individuals — African American or Afro-Caribbean
(Black)		 — 6 cohorts
  • ARIC
  • ,CARDIA
  • ,CHS
  • ,FHS
  • ,JHS
  • ,MESA
 —
PSS009980 — — 606 individuals — Asian unspecified — 6 cohorts
  • ARIC
  • ,CARDIA
  • ,CHS
  • ,FHS
  • ,JHS
  • ,MESA
 —
PSS009980 — — 1,022 individuals — Hispanic or Latin American
(Hispanics)		 — 6 cohorts
  • ARIC
  • ,CARDIA
  • ,CHS
  • ,FHS
  • ,JHS
  • ,MESA
 —
PSS009981 — — 936 individuals — African American or Afro-Caribbean
(Black)		 — NR —
PSS009981 — — 383 individuals — Hispanic or Latin American
(Hispanics)		 — NR —
PSS009981 — — 608 individuals — Other — NR —
PSS009981 — — 4,408 individuals — European — NR —
PSS009982 — — 1,453 individuals — Asian unspecified — NR —
PSS009982 — — 9,680 individuals — African American or Afro-Caribbean
(Black)		 — NR —
PSS009982 — — 314 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian)
(Middle Eastern)		 — NR —
PSS009982 — — 40 individuals — Native American — NR —
PSS009982 — — 31,706 individuals — European — NR —
PSS009982 — — 905 individuals — Other admixed ancestry more than 1 population NR —
PSS011189 — — 19,441 individuals,
44.7 % Male samples
 Mean = 47.36 years
Sd = 14.8 years		 African unspecified — AllofUs —
PSS011189 — — 2,891 individuals,
40.3 % Male samples
 Mean = 42.96 years
Sd = 16.67 years		 Asian unspecified — AllofUs —
PSS011189 — — 48,155 individuals,
40.4 % Male samples
 Mean = 53.65 years
Sd = 16.61 years		 European — AllofUs —
PSS011189 — — 18,034 individuals,
31.9 % Male samples
 Mean = 44.27 years
Sd = 15.79 years		 Hispanic or Latin American — AllofUs —
PSS011364 — — 56,192 individuals — European — UKB —
PSS011804 — — 19,359 individuals — African American or Afro-Caribbean — AllofUs —
PSS011191 — — 127,679 individuals,
0.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —
PSS011192 — — 84,990 individuals,
100.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —
PSS011193 — — 67,630 individuals,
0.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —
PSS011194 — — 51,358 individuals,
100.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —
PSS011195 — — 60,049 individuals,
0.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —
PSS011196 — — 33,632 individuals,
100.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —
PSS011814 — — 13,129 individuals — Hispanic or Latin American — AllofUs —
PSS010519 — — 6,050 individuals,
54.0 % Male samples
 Mean = 53.4 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS001446 Cases were individuals with incident hypertension. Hypertension was defined as persistently high systemic arterial blood pressure based on multiple blood pressure readings (consistent systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg) or medical expenses reimbursement history. Diagnoses were based on the International Classification of Diseases (ICD) 8 codes (I1[0-3]/I15/I674) , ICD-9 codes (I1[0-3]/I15/I674), and ICD-10 codes (I1[0-3]/I15/I674). Of the 55,917 cases, 27,361 had early-onset incident hypertension, whilst 28,556 had late-onset incident hypertension. Early-onset and late-onset hypertension were defined as age of onset <55 and ≥55 years, respectively. —
[
  • 55,917 cases
  • , 162,837 controls
]
 — European
(Finnish)		 — FinnGen —
PSS001447 Cases were individuals with incident coronary heart disease (CHD). CHD was defined as Major coronary heart disease event: coronary revascularization (angioplasty or bypass grafting) or myocardial infarction. Diagnoses were based on the International Classification of Diseases (ICD) 8 codes (410/4110) , ICD-9 codes (410), and ICD-10 codes (I200/I21/I22). —
[
  • 21,012 cases
  • , 197,780 controls
]
,
44.0 % Male samples
 Mean = 58.0 years European
(Finnish)		 — FinnGen —
PSS001448 Cases were individuals with incident cardiovascular disease (CVD). CVD was defined as ard cardiovascular diseases: coronary heart disease or stroke. —
[
  • 29,350 cases
  • , 189,442 controls
]
,
44.0 % Male samples
 Mean = 58.0 years European
(Finnish)		 — FinnGen —
PSS001449 Cases were individuals with incident stroke. Stroke was defined as stroke, excluding subarachnoid hemorrhage. Diagnoses were based on the International Classification of Diseases (ICD) 8 codes (431/433/434/436) , ICD-9 codes (431/4330A/4331A/4339A/4340A/4341A/4349A/436), and ICD-10 codes (I61/I63/I64 (excluding I636)). —
[
  • 11,734 cases
  • , 201,150 controls
]
 — European
(Finnish)		 — FinnGen —
PSS009510 Apparent Treatment-Resistant Hypertension —
[
  • 106 cases
  • , 4,301 controls
]
 — Not reported — BioVU Multi-Ancestry analysis
PSS009511 Apparent Treatment-Resistant Hypertension —
[
  • 574 cases
  • , 4,452 controls
]
,
37.0 % Male samples
 Mean = 50.6 years African American or Afro-Caribbean African American, Non-Hispanic Black BioVU —
PSS009511 Apparent Treatment-Resistant Hypertension —
[
  • 574 cases
  • , 4,452 controls
]
,
37.0 % Male samples
 Mean = 50.6 years African American or Afro-Caribbean African American, Non-Hispanic Black BioVU Multi-Ancestry analysis
PSS009512 Apparent Treatment-Resistant Hypertension —
[
  • 2,961 cases
  • , 25,584 controls
]
,
46.0 % Male samples
 Mean = 58.58 years European European, Non-Hispanic White BioVU —
PSS009512 Apparent Treatment-Resistant Hypertension —
[
  • 2,961 cases
  • , 25,584 controls
]
,
46.0 % Male samples
 Mean = 58.58 years European European, Non-Hispanic White BioVU Multi-Ancestry analysis
PSS001450 Cases were individuals with incident hypertension. Hypertension was defined as persistently high systemic arterial blood pressure based on multiple blood pressure readings (consistent systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg) or medical expenses reimbursement history. Diagnoses were based on the International Classification of Diseases (ICD) 8 codes (I1[0-3]/I15/I674) , ICD-9 codes (I1[0-3]/I15/I674), and ICD-10 codes (I1[0-3]/I15/I674). —
[
  • 725 cases
  • , 9,181 controls
]
 — European
(Finnish)		 — FINRISK —
PSS011824 — — 45,505 individuals — European — AllofUs —
PSS009042 — — 3,850 individuals — African unspecified Nigeria (West Africa) UKB —
PSS011387 — —
[
  • 8,488 cases
  • , 129,829 controls
]
,
0.0 % Male samples
 — European
(Finnish)		 — FinnGen —
PSS011388 — —
[
  • 6,643 cases
  • , 129,711 controls
]
,
0.0 % Male samples
 — European
(Finnish)		 — FinnGen —
PSS011396 the earliest median eligible non-Emergency Department outpatient measured SBP in the electronic health record, and the corresponding DBP. For individuals with an even number of SBP measures in their record, the lower value was used to compute the median. For individuals with fewer than three measurements available, the lowest available SBP and corresponding DBP were used. Measures were considered ineligible if they occurred at or after an ICD-9/10 billing code from the groups 585/N18 (chronic kidney disease), 405/I15 (secondary hypertension), or 428/I50 (heart failure). For participants who had started an antihypertensive medication before the date of their median SBP measurement, 15 mm Hg was added to SBP and 10 mm Hg to DBP. Eligible SBP measures were restricted to a range of 30 to 300 mmHg. Eligible DBP measures were restricted to values over 30 mmHg. Eligible DBP measures were restricted to values over 30 mmHg. Sample size for SBP, DBP, and PP GWAS analysis included 21,843 individuals. Pulse pressure was defined as SBP minus DBP. Hypertension status was defined by phecodes 401* and/or antihypertensive medication use. — 21,843 individuals,
42.69 % Male samples
 Mean = 48.3 years
Sd = 14.75 years		 African American or Afro-Caribbean
(American)		 — AllofUs —
PSS011397 In Lifelines, BP was measured every minute during a period of ten minutes using an automated DINAMAP Monitor (GE Healthcare) and the average of the final three readings was recorded for SBP and DBP. Participants with a measured BP ≥140/90 mm Hg irrespective of treatment and those taking antihypertensive medication (ATC codes C02, C03, C07, C08, C09) irrespective of BP were defined as having hypertension. In continuous trait analyses, 15 mm Hg was added to SBP and 10 mm Hg was added to DBP for 1,236 individuals who were taking antihypertensive medication. PP was calculated using these medication-adjusted BP values. — 10,210 individuals,
41.6 % Male samples
 Mean = 44.66 years
Sd = 13.05 years		 European
(Dutch)		 — LifeLines —
PSS000371 Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). — 288 individuals,
69.2 % Male samples
 Mean = 15.83 years
Sd = 0.6 years		 European — TRAILS, TRAILSCC TRAILS Clinical Cohort
PSS000376 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). — 1,354 individuals,
47.56 % Male samples
 Mean = 16.22 years
Sd = 0.66 years		 European — TRAILS —
PSS010603 — — 1,122 individuals,
60.0 % Male samples
 Mean = 52.0 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS008596 — — 1,151 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009839 — — 6,128 individuals — African unspecified — UKB —
PSS009840 — — 859 individuals — East Asian — UKB —
PSS009841 — — 40,059 individuals — European Non-British European UKB —
PSS009842 — — 7,573 individuals — South Asian — UKB —
PSS009574 — — 14,004 individuals — European — Airwave —
PSS009575 — — 6,970 individuals — African unspecified — UKB —
PSS009576 — — 8,827 individuals — South Asian — UKB —
PSS009581 The treated hypertension sub-cohort was participants who were presently taking antihypertensive medications (indicated by selecting ‘blood pressure medication’ in response to the question ‘Do you regularly take any of the following medications?’ or reporting an antihypertensive medication in a verbal interview with a trained nurse). The antihypertensive medication classes considered were beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, calcium-channel blocker, alpha blockers, and diuretics. Uncontrolled hypertension was defined as having a mean systolic BP >_140 mmHg or mean diastolic BP >_90 mmHg, among individuals in the treated hypertension sub-cohort. We used prospective follow-up data to assess the composite outcome of incident major adverse cardiovascular events (MACE), which we defined as the first non-fatal stroke (ischaemic or haemorrhagic), non-fatal myocardial infarction, or fatal cardiovascular events, or disease-modifying cardiovascular procedures. We identified MACE components using International Classification of Diseases (ICD-9 and ICD-10) and the Office of Population Censuses and Surveys Classification of Interventions and Procedures version 4 (OPCS-4) codes from Hospital Episodes Statistics (HES) data, and death registries data. Median = 11.5 years
[
  • 5,596 cases
  • , 49,843 controls
]
,
51.0 % Male samples
 Mean = 61.0 years European
(white British)		 — UKB —
PSS009582 The treated hypertension sub-cohort was participants who were presently taking antihypertensive medications (indicated by selecting ‘blood pressure medication’ in response to the question ‘Do you regularly take any of the following medications?’ or reporting an antihypertensive medication in a verbal interview with a trained nurse). The antihypertensive medication classes considered were beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, calcium-channel blocker, alpha blockers, and diuretics. Uncontrolled hypertension was defined as having a mean systolic BP >_140 mmHg or mean diastolic BP >_90 mmHg, among individuals in the treated hypertension sub-cohort. We used prospective follow-up data to assess the composite outcome of incident major adverse cardiovascular events (MACE), which we defined as the first non-fatal stroke (ischaemic or haemorrhagic), non-fatal myocardial infarction, or fatal cardiovascular events, or disease-modifying cardiovascular procedures. We identified MACE components using International Classification of Diseases (ICD-9 and ICD-10) and the Office of Population Censuses and Surveys Classification of Interventions and Procedures version 4 (OPCS-4) codes from Hospital Episodes Statistics (HES) data, and death registries data. Median = 11.5 years
[
  • 3,586 cases
  • , 51,853 controls
]
,
51.0 % Male samples
 Mean = 61.0 years European
(white British)		 — UKB —
PSS009583 The treated hypertension sub-cohort was participants who were presently taking antihypertensive medications (indicated by selecting ‘blood pressure medication’ in response to the question ‘Do you regularly take any of the following medications?’ or reporting an antihypertensive medication in a verbal interview with a trained nurse). The antihypertensive medication classes considered were beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, calcium-channel blocker, alpha blockers, and diuretics. Uncontrolled hypertension was defined as having a mean systolic BP >_140 mmHg or mean diastolic BP >_90 mmHg, among individuals in the treated hypertension sub-cohort. We used prospective follow-up data to assess the composite outcome of incident major adverse cardiovascular events (MACE), which we defined as the first non-fatal stroke (ischaemic or haemorrhagic), non-fatal myocardial infarction, or fatal cardiovascular events, or disease-modifying cardiovascular procedures. We identified MACE components using International Classification of Diseases (ICD-9 and ICD-10) and the Office of Population Censuses and Surveys Classification of Interventions and Procedures version 4 (OPCS-4) codes from Hospital Episodes Statistics (HES) data, and death registries data. Median = 11.5 years
[
  • 2,010 cases
  • , 53,429 controls
]
,
51.0 % Male samples
 Mean = 61.0 years European
(white British)		 — UKB —
PSS009584 The treated hypertension sub-cohort was participants who were presently taking antihypertensive medications (indicated by selecting ‘blood pressure medication’ in response to the question ‘Do you regularly take any of the following medications?’ or reporting an antihypertensive medication in a verbal interview with a trained nurse). The antihypertensive medication classes considered were beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, calcium-channel blocker, alpha blockers, and diuretics. Uncontrolled hypertension was defined as having a mean systolic BP >_140 mmHg or mean diastolic BP >_90 mmHg, among individuals in the treated hypertension sub-cohort. We used prospective follow-up data to assess the composite outcome of incident major adverse cardiovascular events (MACE), which we defined as the first non-fatal stroke (ischaemic or haemorrhagic), non-fatal myocardial infarction, or fatal cardiovascular events, or disease-modifying cardiovascular procedures. We identified MACE components using International Classification of Diseases (ICD-9 and ICD-10) and the Office of Population Censuses and Surveys Classification of Interventions and Procedures version 4 (OPCS-4) codes from Hospital Episodes Statistics (HES) data, and death registries data. Median = 11.5 years
[
  • 36,114 cases
  • , 19,325 controls
]
,
51.0 % Male samples
 Mean = 61.0 years European
(white British)		 — UKB —