Towards Uniformly Applicable Polygenic Risk Scores: Factors Influencing Cross-Ancestry Prediction Performance

Introduction: Genome-wide association studies (GWAS) aim to investigate the associations between genetic variants and phenotypes. This is especially helpful for the study of complex diseases, for which it is demonstrated that they are highly polygenic. One possible application of GWAS is the calculation [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds006
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards Uniformly Applicable Polygenic Risk Scores: Factors Influencing Cross-Ancestry Prediction Performance

German Medical Science (German Research Foundation)
Genetic Associations and Epidemiology
article

Towards Uniformly Applicable Polygenic Risk Scores: Factors Influencing Cross-Ancestry Prediction Performance

article en

Abstract

Introduction: Genome-wide association studies (GWAS) aim to investigate the associations between genetic variants and phenotypes. This is especially helpful for the study of complex diseases, for which it is demonstrated that they are highly polygenic. One possible application of GWAS is the calculation [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Technische Universität Braunschweig (DE)
Openalex Percentile: Top 32%
Genetic Associations and Epidemiology
DOIOpen Access PDFOpenAlex
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Towards Uniformly Applicable Polygenic Risk Scores: Factors Influencing Cross-Ancestry Prediction Performance · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS