ArticleEuropean journal of human genetics : EJHG2024
Validity of European-centric cardiometabolic polygenic scores in multi-ancestry populations.
Article in European journal of human genetics : EJHG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Quantifying the utility of type 2 diabetes polygenic risk score for predicting incident diabetes: an analysis of large US-based cohort studies.BMC medical genomics · 2026Article
- Epidemiology of cardiovascular-kidney-metabolic syndrome.Nature reviews. Nephrology · 2026Review
- Analysis of left ventricular mass for African American individuals using multi-ancestry polygenic risk scores: the Jackson Heart Study.Open heart · 2025Article
- Transferability of polygenic risk scores for metabolic and cardiovascular traits in an underrepresented population.NPJ genomic medicine · 2025Article
- Methods for multiancestry genome-wide association study meta-analysis.Annals of human genetics · 2025Review
- Genetic and Lifestyle Risks for Coronary Artery Disease and Long-Term Risk of Incident Dementia Subtypes.Circulation · 2025Article
- Ancestry gaps in cardiovascular GWAS: a multi-database review of African representation in genomic studies.Frontiers in genetics · 2025Review
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Authors and funding
4 authors.
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Abstract
Polygenic scores (PGSs) provide an individual level estimate of genetic risk for any given disease. Since most PGSs have been derived from genome wide association studies (GWASs) conducted in populations of White European ancestry, their validity in other ancestry groups remains unconfirmed. This is especially relevant for cardiometabolic diseases which are known to disproportionately affect people of non-European ancestry. Thus, we aimed to evaluate the performance of PGSs for glycaemic traits (glycated haemoglobin, and type 1 and type 2 diabetes mellitus), cardiometabolic risk factors (body mass index, hypertension, high- and low-density lipoproteins, and total cholesterol and triglycerides) and cardiovascular diseases (including stroke and coronary artery disease) in people of White European, South Asian, and African Caribbean ethnicity in the UK Biobank. Whilst PGSs incorporated some GWAS data from multi-ethnic populations, the vast majority originated from White Europeans. For most outcomes, PGSs derived mostly from European populations had an overall better performance in White Europeans compared to South Asians and African Caribbeans. Thus, multi-ancestry GWAS data are needed to derive ancestry stratified PGSs to tackle health inequalities.
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