biostudies-literatureUnknown111(12)Kullo IJBy improving disease risk prediction, polygenic risk scores (PRSs) could have a significant impact on health promotion and disease prevention. Due to the historical oversampling of populations with European ancestry for genome-wide association studies, PRSs perform less well in other, understudied populations, leading to concerns that clinical use in their current forms could widen health care disparities. The PRIMED Consortium was established to develop methods to improve the performance of PRSs in global populations and individuals of diverse genetic ancestry. To this end, PRIMED is aggregating and harmonizing multiple phenotype and genotype datasets on AnVIL, an interoperable secure cloud-based platform, to perform individual- and summary-level analyses using population and statistical American journal of human genetics2594-2606https://www.ebi.ac.uk/biostudies/studies/S-EPMC11639095biostudies-literatureThe PRIMED Consortium: Reducing disparities in polygenic risk assessment.PMC11639095Patel AWilson RMathias RSchrider DHanchard NGuo XRice KZhang HPajukanta PManning AThornton TTruong BNelson SCLe Marchand LMartin HDarst BWiley KWiley LMartin INa JRaffield LKamiza ABWitte JBowers MBelow JTayo BEdwards TReiner ASmit RAJRowan BGignoux CKullo IJohnston KMulder NLoos RPreuss MStilp AShuey MLin MPolygenic Risk Methods in Diverse Populations (PRIMED) ConsortiumOphoff RFullerton SKadowaki THirbo JLee HKim JSchroeder PWilkens LConti DConomos MPShemirani RYanek LGogarten SMSobrin LKullo IJChoudhury AHornsby WYu YSchaid DKosel MLange EHornsby WEHaiman CMester RWong QKenny EFullerton SMKhera AVChikowore TMiller-Fleming TKooperberg CMitchell BAuer PBreeyear JCox NUdler MRuan YChatterjee NCullina SEskin EPhuong JSankararaman SDeutsch AHuerta AHuang QOnengut-Gumuscu SAllred NLeong AGe TFatumo SPeters UKachuri LSzczerbinski LWojcik GAdebamowo CLohmueller KWang YLange LNorland KWitte JSSakoda LRaffield LMVenkateswaran VKenny EEvan Heel DMeyer MAdebamowo SBoua PRLu KLi YPasaniuc BShortt JNelson SKerns SPsaty BHazelhurst SGogarten SKraft PMercader JMZhong MHeavner BVargas LBWessel JRamsay MConomos MJiang GSuzuki KChoi JGeschwind DGoodarzi MHeckbert SRich SRotter JDing YStalbow LFreimer NKonigsberg IMeigs JNatarajan PNg MYamauchi TLoohuis LOKhan AMandia RStram DSim XSmith JMartin AOneyobi EHou KKwak SHZhang YTao RTusie TFlorez JRowley RAdebamowo SNBoulier KMercader JfalseThe PRIMED Consortium: Reducing disparities in polygenic risk assessment.By improving disease risk prediction, polygenic risk scores (PRSs) could have a significant impact on health promotion and disease prevention. Due to the historical oversampling of populations with European ancestry for genome-wide association studies, PRSs perform less well in other, understudied populations, leading to concerns that clinical use in their current forms could widen health care disparities. The PRIMED Consortium was established to develop methods to improve the performance of PRSs in global populations and individuals of diverse genetic ancestry. To this end, PRIMED is aggregating and harmonizing multiple phenotype and genotype datasets on AnVIL, an interoperable secure cloud-based platform, to perform individual- and summary-level analyses using population and statistical 2024-01-01T00:00:00Z2024 Dec2025-04-04T02:54:57.234Z2025-04-04T02:54:57.234ZS-EPMC116390953956177010.1016/j.ajhg.2024.10.010