Yuexuan Xu , Min Qiao , Tamil I. Gunasekaran , Yian Gu , Dolly Reyes-Dumeyer , Angel Piriz , Danurys Sanchez , Belisa Soriano , Yahaira Franco , Zoraida Dominguez Coronado , Patricia Recio , Diones Rivera Mejia , Martin Medrano , Rafael A. Lantigua , Lawrence Honig , Jennifer J. Manly , Adam M. Brickman , Badri N. Vardarajan , Richard Mayeux
{"title":"在以人群为基础的西班牙裔队列中,使用单祖先和多祖先模型评估阿尔茨海默病的多基因风险评分预测性能","authors":"Yuexuan Xu , Min Qiao , Tamil I. Gunasekaran , Yian Gu , Dolly Reyes-Dumeyer , Angel Piriz , Danurys Sanchez , Belisa Soriano , Yahaira Franco , Zoraida Dominguez Coronado , Patricia Recio , Diones Rivera Mejia , Martin Medrano , Rafael A. Lantigua , Lawrence Honig , Jennifer J. Manly , Adam M. Brickman , Badri N. Vardarajan , Richard Mayeux","doi":"10.1016/j.lana.2025.101198","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The Polygenic risk score (PRS) is effective in predicting Alzheimer's Disease (AD) risk among Europeans but remains understudied in Hispanics. Genome-wide association studies (GWAS) based on multiple ancestries can improve PRS prediction. We used GWAS data from the largest available African, European, and Hispanic populations and performed PRS analyses using novel methodologies to evaluate the performance of single- and multi-ancestry PRS models in predicting AD risk among Hispanic population.</div></div><div><h3>Methods</h3><div>Prediction performance of Apolipoprotein-E (<em>APOE</em>), single-ancestry PRS, and multi-ancestry PRS derived from GWAS-focused and method-focused approaches to clinical AD, incident AD, and cognition and were evaluated in 2961 Hispanic people from two large studies. The GWAS-focused approach constructs PRS based on multi-ancestry GWAS, while the method-focused approach uses novel multi-ancestry PRS methods, integrating GWAS summary statistics across ancestries. Ten repetitions of 5-fold cross-validation were used. In a subset, plasma biomarker data were used in a tuning-validation split to examine PRS performance in predicting single and combined biomarkers.</div></div><div><h3>Findings</h3><div>The multi-ancestry PRS excluding <em>APOE</em>, constructed using the method-focused approach, outperformed both single-ancestry and multi-ancestry PRSs from the GWAS-focused approach. The best method-focused PRS, incorporating summary statistics from GWASs of African, European, and Hispanic populations, explained up to 1.6%, 3.9%, and 1.7% of the variance in clinical AD, incident AD, and cognition, respectively–comparable to, or even higher than, the variance explained by the <em>APOE</em>. Similar findings were observed in biomarker analyses. <em>APOE</em> accounted for more variation in plasma P-tau levels and PRS explained more variation in Aβ levels.</div></div><div><h3>Interpretation</h3><div>Integrating novel multi-ancestry PRS methods (e.g., PROSPER/PRS-CSx) with GWAS across ancestries enhances prediction accuracy for AD risk among Hispanic population. <em>APOE</em> and PRS may point to different biological aspects of AD.</div></div><div><h3>Funding</h3><div><span>National Institutes of Health</span> R01 AG072474, RF1 AG066107, 5R37AG015473, RF1AG015473, R56AG051876, R01 AG067501, and UL1TR001873.</div></div>","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"49 ","pages":"Article 101198"},"PeriodicalIF":7.0000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating polygenic risk score prediction performance for Alzheimer's disease in a population-based Hispanic cohort using single- and multi-ancestry models\",\"authors\":\"Yuexuan Xu , Min Qiao , Tamil I. Gunasekaran , Yian Gu , Dolly Reyes-Dumeyer , Angel Piriz , Danurys Sanchez , Belisa Soriano , Yahaira Franco , Zoraida Dominguez Coronado , Patricia Recio , Diones Rivera Mejia , Martin Medrano , Rafael A. Lantigua , Lawrence Honig , Jennifer J. Manly , Adam M. Brickman , Badri N. Vardarajan , Richard Mayeux\",\"doi\":\"10.1016/j.lana.2025.101198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The Polygenic risk score (PRS) is effective in predicting Alzheimer's Disease (AD) risk among Europeans but remains understudied in Hispanics. Genome-wide association studies (GWAS) based on multiple ancestries can improve PRS prediction. We used GWAS data from the largest available African, European, and Hispanic populations and performed PRS analyses using novel methodologies to evaluate the performance of single- and multi-ancestry PRS models in predicting AD risk among Hispanic population.</div></div><div><h3>Methods</h3><div>Prediction performance of Apolipoprotein-E (<em>APOE</em>), single-ancestry PRS, and multi-ancestry PRS derived from GWAS-focused and method-focused approaches to clinical AD, incident AD, and cognition and were evaluated in 2961 Hispanic people from two large studies. The GWAS-focused approach constructs PRS based on multi-ancestry GWAS, while the method-focused approach uses novel multi-ancestry PRS methods, integrating GWAS summary statistics across ancestries. Ten repetitions of 5-fold cross-validation were used. In a subset, plasma biomarker data were used in a tuning-validation split to examine PRS performance in predicting single and combined biomarkers.</div></div><div><h3>Findings</h3><div>The multi-ancestry PRS excluding <em>APOE</em>, constructed using the method-focused approach, outperformed both single-ancestry and multi-ancestry PRSs from the GWAS-focused approach. The best method-focused PRS, incorporating summary statistics from GWASs of African, European, and Hispanic populations, explained up to 1.6%, 3.9%, and 1.7% of the variance in clinical AD, incident AD, and cognition, respectively–comparable to, or even higher than, the variance explained by the <em>APOE</em>. Similar findings were observed in biomarker analyses. <em>APOE</em> accounted for more variation in plasma P-tau levels and PRS explained more variation in Aβ levels.</div></div><div><h3>Interpretation</h3><div>Integrating novel multi-ancestry PRS methods (e.g., PROSPER/PRS-CSx) with GWAS across ancestries enhances prediction accuracy for AD risk among Hispanic population. <em>APOE</em> and PRS may point to different biological aspects of AD.</div></div><div><h3>Funding</h3><div><span>National Institutes of Health</span> R01 AG072474, RF1 AG066107, 5R37AG015473, RF1AG015473, R56AG051876, R01 AG067501, and UL1TR001873.</div></div>\",\"PeriodicalId\":29783,\"journal\":{\"name\":\"Lancet Regional Health-Americas\",\"volume\":\"49 \",\"pages\":\"Article 101198\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lancet Regional Health-Americas\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667193X2500208X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lancet Regional Health-Americas","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667193X2500208X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Evaluating polygenic risk score prediction performance for Alzheimer's disease in a population-based Hispanic cohort using single- and multi-ancestry models
Background
The Polygenic risk score (PRS) is effective in predicting Alzheimer's Disease (AD) risk among Europeans but remains understudied in Hispanics. Genome-wide association studies (GWAS) based on multiple ancestries can improve PRS prediction. We used GWAS data from the largest available African, European, and Hispanic populations and performed PRS analyses using novel methodologies to evaluate the performance of single- and multi-ancestry PRS models in predicting AD risk among Hispanic population.
Methods
Prediction performance of Apolipoprotein-E (APOE), single-ancestry PRS, and multi-ancestry PRS derived from GWAS-focused and method-focused approaches to clinical AD, incident AD, and cognition and were evaluated in 2961 Hispanic people from two large studies. The GWAS-focused approach constructs PRS based on multi-ancestry GWAS, while the method-focused approach uses novel multi-ancestry PRS methods, integrating GWAS summary statistics across ancestries. Ten repetitions of 5-fold cross-validation were used. In a subset, plasma biomarker data were used in a tuning-validation split to examine PRS performance in predicting single and combined biomarkers.
Findings
The multi-ancestry PRS excluding APOE, constructed using the method-focused approach, outperformed both single-ancestry and multi-ancestry PRSs from the GWAS-focused approach. The best method-focused PRS, incorporating summary statistics from GWASs of African, European, and Hispanic populations, explained up to 1.6%, 3.9%, and 1.7% of the variance in clinical AD, incident AD, and cognition, respectively–comparable to, or even higher than, the variance explained by the APOE. Similar findings were observed in biomarker analyses. APOE accounted for more variation in plasma P-tau levels and PRS explained more variation in Aβ levels.
Interpretation
Integrating novel multi-ancestry PRS methods (e.g., PROSPER/PRS-CSx) with GWAS across ancestries enhances prediction accuracy for AD risk among Hispanic population. APOE and PRS may point to different biological aspects of AD.
Funding
National Institutes of Health R01 AG072474, RF1 AG066107, 5R37AG015473, RF1AG015473, R56AG051876, R01 AG067501, and UL1TR001873.
期刊介绍:
The Lancet Regional Health – Americas, an open-access journal, contributes to The Lancet's global initiative by focusing on health-care quality and access in the Americas. It aims to advance clinical practice and health policy in the region, promoting better health outcomes. The journal publishes high-quality original research advocating change or shedding light on clinical practice and health policy. It welcomes submissions on various regional health topics, including infectious diseases, non-communicable diseases, child and adolescent health, maternal and reproductive health, emergency care, health policy, and health equity.