Article

Negative selection on complex traits limits genetic risk prediction accuracy between populations

2019-08-01

Abstract excerpt

Accurate genetic risk prediction is a key goal for medical genetics and great progress has been made toward identifying individuals with extreme risk across several traits and diseases (Collins and Varmus, 2015). However, many of these studies are done in predominantly European populations (Bustamante et al., 2011; Popejoy and Fullerton, 2016). Although GWAS effect sizes correlate across ancestries (Wojcik et al.,...

Topics

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

Identifiers and source

Literature Corpus work: 0e9ef287-1fda-56d2-8dbe-2abc92fbab04
DOI: 10.1101/721936

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Negative selection on complex traits limits genetic risk prediction accuracy between populationsDOI 10.1101/721936Read

Negative selection on complex traits limits phenotype prediction accuracy between populations.Semantic proximity Read

Widespread signatures of negative selection in the genetic architecture of human complex traitsSemantic proximity Read

Signatures of negative selection in the genetic architecture of human complex traits.Semantic proximity Read

Quantification of frequency-dependent genetic architectures and action of negative selection in 25 UK Biobank traitsSemantic proximity Read

Per-allele disease and complex trait effect sizes are predominantly African MAF-dependent in European populationsSemantic proximity Read

Leveraging Multi-ethnic Evidence for Risk Assessment of Quantitative Traits in Minority Populations.Semantic proximity Read

Polygenicity of complex traits is explained by negative selectionSemantic proximity Read

Distinct genetic architecture in the tails of complex traits.Semantic proximity Read

Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations.Semantic proximity Read

Human demographic history impacts genetic risk prediction across diverse populationsSemantic proximity Read

How genetic disease risks can be misestimated across global populationsSemantic proximity Read

Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individualsSemantic proximity Read