Ebuka Onyenobi, Michael Zhong, Opeyemi Soremekun, Abram Kamiza, Romuald Boua, Tinashe Chikwore, Segun Fatumo, Ananyo Choudhury, Scott Hazelhurst, Clement Adebamowo, Michele Ramsay, Bamidele Tayo, Jennifer S Albrecht, Timothy D O'Connor, Yuji Zhang, Braxton D Mitchell, Sally N Adebamowo
{"title":"非洲大陆人群血压特征多基因风险评分的开发和验证。","authors":"Ebuka Onyenobi, Michael Zhong, Opeyemi Soremekun, Abram Kamiza, Romuald Boua, Tinashe Chikwore, Segun Fatumo, Ananyo Choudhury, Scott Hazelhurst, Clement Adebamowo, Michele Ramsay, Bamidele Tayo, Jennifer S Albrecht, Timothy D O'Connor, Yuji Zhang, Braxton D Mitchell, Sally N Adebamowo","doi":"10.1161/CIRCGEN.124.005048","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Most polygenic risk scores (PRS) have been developed in European populations, frequently leading to limited transferability across diverse ancestry populations. This study aimed to develop and evaluate PRS for blood pressure (BP) traits in continental African (African) populations and investigate how African genetic diversity influences PRS performance.</p><p><strong>Methods: </strong>We generated PRS for systolic BP, diastolic BP, pulse pressure, and hypertension. We used a pan-African cohort as the target population and compared singleancestry and multiancestry PRS methods. We compared the performance of African ancestry-derived PRS against multiancestry PRS on the entire data set and within South, East, and West African subpopulations.</p><p><strong>Results: </strong>Multiancestry PRS demonstrated significantly higher predictive accuracy compared with singleancestry PRS models. PRS predictive accuracy varied across different African regions, with the highest performance observed in East Africa. In the combined population, the difference in mean BP values between the first multiancestry PRS quartile and the top quartile was 6.53 (95% CI, 5.3-7.74), 3.81 (95% CI, 3.9-4.52), and 3.59 (95% CI, 2.4-4.32) mm Hg for systolic BP, diastolic BP, and pulse pressure, respectively. Individuals in the highest PRS risk quartile had odds of hypertension that were 1.47 (95% CI, 1.7-1.69) times greater than those in the lowest risk quartile.</p><p><strong>Conclusions: </strong>These findings highlight the importance of integrating diverse ancestries in PRS development and accounting for subpopulation genetic variation to improve the predictive accuracy of BP PRS in African populations.</p>","PeriodicalId":10326,"journal":{"name":"Circulation: Genomic and Precision Medicine","volume":" ","pages":"e005048"},"PeriodicalIF":6.0000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Validation of Polygenic Risk Scores for Blood Pressure Traits in Continental African Populations.\",\"authors\":\"Ebuka Onyenobi, Michael Zhong, Opeyemi Soremekun, Abram Kamiza, Romuald Boua, Tinashe Chikwore, Segun Fatumo, Ananyo Choudhury, Scott Hazelhurst, Clement Adebamowo, Michele Ramsay, Bamidele Tayo, Jennifer S Albrecht, Timothy D O'Connor, Yuji Zhang, Braxton D Mitchell, Sally N Adebamowo\",\"doi\":\"10.1161/CIRCGEN.124.005048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Most polygenic risk scores (PRS) have been developed in European populations, frequently leading to limited transferability across diverse ancestry populations. This study aimed to develop and evaluate PRS for blood pressure (BP) traits in continental African (African) populations and investigate how African genetic diversity influences PRS performance.</p><p><strong>Methods: </strong>We generated PRS for systolic BP, diastolic BP, pulse pressure, and hypertension. We used a pan-African cohort as the target population and compared singleancestry and multiancestry PRS methods. We compared the performance of African ancestry-derived PRS against multiancestry PRS on the entire data set and within South, East, and West African subpopulations.</p><p><strong>Results: </strong>Multiancestry PRS demonstrated significantly higher predictive accuracy compared with singleancestry PRS models. PRS predictive accuracy varied across different African regions, with the highest performance observed in East Africa. In the combined population, the difference in mean BP values between the first multiancestry PRS quartile and the top quartile was 6.53 (95% CI, 5.3-7.74), 3.81 (95% CI, 3.9-4.52), and 3.59 (95% CI, 2.4-4.32) mm Hg for systolic BP, diastolic BP, and pulse pressure, respectively. Individuals in the highest PRS risk quartile had odds of hypertension that were 1.47 (95% CI, 1.7-1.69) times greater than those in the lowest risk quartile.</p><p><strong>Conclusions: </strong>These findings highlight the importance of integrating diverse ancestries in PRS development and accounting for subpopulation genetic variation to improve the predictive accuracy of BP PRS in African populations.</p>\",\"PeriodicalId\":10326,\"journal\":{\"name\":\"Circulation: Genomic and Precision Medicine\",\"volume\":\" \",\"pages\":\"e005048\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2025-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Circulation: Genomic and Precision Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1161/CIRCGEN.124.005048\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Circulation: Genomic and Precision Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1161/CIRCGEN.124.005048","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Development and Validation of Polygenic Risk Scores for Blood Pressure Traits in Continental African Populations.
Background: Most polygenic risk scores (PRS) have been developed in European populations, frequently leading to limited transferability across diverse ancestry populations. This study aimed to develop and evaluate PRS for blood pressure (BP) traits in continental African (African) populations and investigate how African genetic diversity influences PRS performance.
Methods: We generated PRS for systolic BP, diastolic BP, pulse pressure, and hypertension. We used a pan-African cohort as the target population and compared singleancestry and multiancestry PRS methods. We compared the performance of African ancestry-derived PRS against multiancestry PRS on the entire data set and within South, East, and West African subpopulations.
Results: Multiancestry PRS demonstrated significantly higher predictive accuracy compared with singleancestry PRS models. PRS predictive accuracy varied across different African regions, with the highest performance observed in East Africa. In the combined population, the difference in mean BP values between the first multiancestry PRS quartile and the top quartile was 6.53 (95% CI, 5.3-7.74), 3.81 (95% CI, 3.9-4.52), and 3.59 (95% CI, 2.4-4.32) mm Hg for systolic BP, diastolic BP, and pulse pressure, respectively. Individuals in the highest PRS risk quartile had odds of hypertension that were 1.47 (95% CI, 1.7-1.69) times greater than those in the lowest risk quartile.
Conclusions: These findings highlight the importance of integrating diverse ancestries in PRS development and accounting for subpopulation genetic variation to improve the predictive accuracy of BP PRS in African populations.
期刊介绍:
Circulation: Genomic and Precision Medicine is a distinguished journal dedicated to advancing the frontiers of cardiovascular genomics and precision medicine. It publishes a diverse array of original research articles that delve into the genetic and molecular underpinnings of cardiovascular diseases. The journal's scope is broad, encompassing studies from human subjects to laboratory models, and from in vitro experiments to computational simulations.
Circulation: Genomic and Precision Medicine is committed to publishing studies that have direct relevance to human cardiovascular biology and disease, with the ultimate goal of improving patient care and outcomes. The journal serves as a platform for researchers to share their groundbreaking work, fostering collaboration and innovation in the field of cardiovascular genomics and precision medicine.