Article

Automatic clustering of self-defined groups to minimize false disease associations and maximize within-group genetic similarity

2026-07-21

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> : Self-defined ethnic groups show uneven geographic and socioeconomic distributions that can confound clinical associations. Genetic variation between groups can create spurious disease associations when populations are inappropriately combined, while analyzing groups separately reduces statistical power. There is therefore a need for population groupings that...

Topics

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

Identifiers and source

Literature Corpus work: 68405917-e6b1-51f0-9bf2-78b71866e4c6
DOI: 10.21203/rs.3.rs-8462946/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Automatic clustering of self-defined groups to minimize false disease associations and maximize within-group genetic similarityDOI 10.21203/rs.3.rs-8462946/v1Read

Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies.Semantic proximity Read

Human population structure detection via multilocus genotype clustering.Semantic proximity Read

Accurate and scalable genome-wide ancestry estimation using haplotype clusters.Semantic proximity Read

Topological stratification of continuous genetic variation in large biobanks.Semantic proximity Read

Accurate and scalable genome-wide ancestry estimation using haplotype clustersSemantic proximity Read

Dynamic clustering of genomics cohorts beyond race, ethnicity—and ancestrySemantic proximity Read

Subcontinental Genetic Diversity in the <i>All of Us</i> Research Program: Implications for Biomedical ResearchSemantic proximity Read

Archetypal Analysis for population genetics.Semantic proximity Read

Single haplotype admixture models using large scale HLA genotype frequencies to reproduce human admixtureSemantic proximity Read

Standardized biogeographic grouping system for annotating populations in pharmacogenetic researchSemantic proximity Read

Population labels can be generated directly from targeted next-generation sequencing dataSemantic proximity Read