Article

Evaluating Multi-Ancestry Genome-Wide Association Methods: Statistical Power, Population Structure, and Practical Implications

2025-03-12

Abstract excerpt

The increasing availability of diverse biobanks has enabled multi-ancestry genome-wide association studies (GWAS), enhancing the discovery of genetic variants across traits and diseases. However, the choice of an optimal method remains debated due to challenges in statistical power differences across ancestral groups and approaches to account for population structure. Two primary strategies exist: (1) Pooled analy...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 72ed3959-7ad4-5fb0-ba9e-a125afa4a19f
DOI: 10.1101/2025.03.11.25323772

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Evaluating Multi-Ancestry Genome-Wide Association Methods: Statistical Power, Population Structure, and Practical ImplicationsDOI 10.1101/2025.03.11.25323772Read

Evaluating multi-ancestry genome-wide association methods: Statistical power, population structure, and practical implications.Semantic proximity Read

Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics.Semantic proximity Read

PANACEA: a framework to maximise genetic diversity in genome-wide association study meta-analysesSemantic proximity Read

Methods for multiancestry genome-wide association study meta-analysis.Semantic proximity Read

The Impact of Ancestry on Genome-Wide Association Studies.Semantic proximity Read

Impact of cross-ancestry genetic architecture on GWASs in admixed populations.Semantic proximity Read

A new method for multi-ancestry polygenic prediction improves performance across diverse populationsSemantic proximity Read

Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations.Semantic proximity Read

Summix: A method for detecting and adjusting for population structure in genetic summary data.Semantic proximity Read

Accounting for ancestry: population substructure and genome-wide association studies.Semantic proximity Read

Impact of cross-ancestry genetic architecture on GWAS in admixed populationsSemantic proximity Read

Comparison of methods for building polygenic scores for diverse populations.Semantic proximity Read