Iftikhar J Kullo, Matthew P Conomos, Sarah C Nelson, Sally N Adebamowo, Ananyo Choudhury, David Conti, Stephanie M Fullerton, Stephanie M Gogarten, Ben Heavner, Whitney E Hornsby, Eimear E Kenny, Alyna Khan, Amit V Khera, Yun Li, Iman Martin, Josep M Mercader, Maggie Ng, Laura M Raffield, Alex Reiner, Robb Rowley, Daniel Schaid, Adrienne Stilp, Ken Wiley, Riley Wilson, John S Witte, Pradeep Natarajan
{"title":"PRIMED 联合会:减少多基因风险评估中的差异。","authors":"Iftikhar J Kullo, Matthew P Conomos, Sarah C Nelson, Sally N Adebamowo, Ananyo Choudhury, David Conti, Stephanie M Fullerton, Stephanie M Gogarten, Ben Heavner, Whitney E Hornsby, Eimear E Kenny, Alyna Khan, Amit V Khera, Yun Li, Iman Martin, Josep M Mercader, Maggie Ng, Laura M Raffield, Alex Reiner, Robb Rowley, Daniel Schaid, Adrienne Stilp, Ken Wiley, Riley Wilson, John S Witte, Pradeep Natarajan","doi":"10.1016/j.ajhg.2024.10.010","DOIUrl":null,"url":null,"abstract":"<p><p>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 genetics approaches. Study sites, the coordinating center, and representatives from the NIH work alongside other NHGRI and global consortia to achieve these goals. PRIMED is also evaluating ethical and social implications of PRS implementation and investigating the joint modeling of social determinants of health and PRS in computing disease risk. The phenotypes of interest are primarily cardiometabolic diseases and cancer, the leading causes of death and disability worldwide. Early deliverables of the consortium include methods for data sharing on AnVIL, development of a common data model to harmonize phenotype and genotype data from cohort studies as well as electronic health records, adaptation of recent guidelines for population descriptors to global cohorts, and sharing of PRS methods/tools. As a multisite collaboration, PRIMED aims to foster equity in the development and use of polygenic risk assessment.</p>","PeriodicalId":7659,"journal":{"name":"American journal of human genetics","volume":" ","pages":""},"PeriodicalIF":8.1000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The PRIMED Consortium: Reducing disparities in polygenic risk assessment.\",\"authors\":\"Iftikhar J Kullo, Matthew P Conomos, Sarah C Nelson, Sally N Adebamowo, Ananyo Choudhury, David Conti, Stephanie M Fullerton, Stephanie M Gogarten, Ben Heavner, Whitney E Hornsby, Eimear E Kenny, Alyna Khan, Amit V Khera, Yun Li, Iman Martin, Josep M Mercader, Maggie Ng, Laura M Raffield, Alex Reiner, Robb Rowley, Daniel Schaid, Adrienne Stilp, Ken Wiley, Riley Wilson, John S Witte, Pradeep Natarajan\",\"doi\":\"10.1016/j.ajhg.2024.10.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 genetics approaches. Study sites, the coordinating center, and representatives from the NIH work alongside other NHGRI and global consortia to achieve these goals. PRIMED is also evaluating ethical and social implications of PRS implementation and investigating the joint modeling of social determinants of health and PRS in computing disease risk. The phenotypes of interest are primarily cardiometabolic diseases and cancer, the leading causes of death and disability worldwide. Early deliverables of the consortium include methods for data sharing on AnVIL, development of a common data model to harmonize phenotype and genotype data from cohort studies as well as electronic health records, adaptation of recent guidelines for population descriptors to global cohorts, and sharing of PRS methods/tools. As a multisite collaboration, PRIMED aims to foster equity in the development and use of polygenic risk assessment.</p>\",\"PeriodicalId\":7659,\"journal\":{\"name\":\"American journal of human genetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":8.1000,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of human genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.ajhg.2024.10.010\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of human genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.ajhg.2024.10.010","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
The 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 genetics approaches. Study sites, the coordinating center, and representatives from the NIH work alongside other NHGRI and global consortia to achieve these goals. PRIMED is also evaluating ethical and social implications of PRS implementation and investigating the joint modeling of social determinants of health and PRS in computing disease risk. The phenotypes of interest are primarily cardiometabolic diseases and cancer, the leading causes of death and disability worldwide. Early deliverables of the consortium include methods for data sharing on AnVIL, development of a common data model to harmonize phenotype and genotype data from cohort studies as well as electronic health records, adaptation of recent guidelines for population descriptors to global cohorts, and sharing of PRS methods/tools. As a multisite collaboration, PRIMED aims to foster equity in the development and use of polygenic risk assessment.
期刊介绍:
The American Journal of Human Genetics (AJHG) is a monthly journal published by Cell Press, chosen by The American Society of Human Genetics (ASHG) as its premier publication starting from January 2008. AJHG represents Cell Press's first society-owned journal, and both ASHG and Cell Press anticipate significant synergies between AJHG content and that of other Cell Press titles.