Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Disentangling selection on genetically correlated polygenic traits via whole-genome genealogies.

American journal of human genetics - 4 Feb 2021

Stern Aaron J, Speidel Leo, Zaitlen Noah A, Nielsen Rasmus

Abstract excerpt

We present a full-likelihood method to infer polygenic adaptation from DNA sequence variation and GWAS summary statistics to quantify recent transient directional selection acting on a complex trait. Through simulations of polygenic trait architecture evolution and GWASs, we show the method substantially improves power over current methods. We examine the robustness of the method under stratification, uncertainty...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Computer Simulation
Share to Diabetes Mellitus, Type 2

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene-Environment Interaction

Share to Genetic Heterogeneity

Share to Genetic Pleiotropy

Share to Glycated Hemoglobin

Share to Multifactorial Inheritance

Share to Sample Size

Source

Open in PubMed Open full text

Identifiers

PMID: 33440170
DOI: 10.1016/j.ajhg.2020.12.005
PMCID: PMC7895848

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Disentangling selection on genetically correlated polygenic traits via whole-genome genealogies.PMID 33440170Read ↗

Disentangling selection on genetically correlated polygenic traits using whole-genome genealogiesSemantic proximity Read ↗

A selection pressure landscape for 870 human polygenic traits.Semantic proximity Read ↗

Simple scaling laws control the genetic architectures of human complex traitsSemantic proximity Read ↗

Polygenicity of complex traits is explained by negative selectionSemantic proximity Read ↗

Genetic association data are broadly consistent with stabilizing selection shaping human common diseases and traitsSemantic proximity Read ↗

Bayesian analysis of GWAS summary data reveals differential signatures of natural selection across human complex traits and functional genomic categoriesSemantic proximity Read ↗

The evolutionary genetics of polygenic diseases with the largest global burden in mortality ratesSemantic proximity Read ↗

A selection pressure landscape for 870 human polygenic traitsSemantic proximity Read ↗

Quantification of genetic components of population differentiation in UK Biobank traits reveals signals of polygenic selectionSemantic proximity Read ↗

A Robust Method Uncovers Significant Context-Specific Heritability in Diverse Complex Traits.Semantic proximity Read ↗

SNP-based heritability and selection analyses: Improved models and new results.Semantic proximity Read ↗

A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.