Discover Community Create You

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

An evolving understanding of multiple causal variants underlying genetic association signals.

American journal of human genetics - 3 Apr 2025

Long Erping, Williams Jacob, Zhang Haoyu, Choi Jiyeon

Abstract excerpt

Understanding how genetic variation contributes to phenotypic variation is a fundamental question in genetics. Genome-wide association studies (GWASs) have discovered numerous genetic associations with various human phenotypes, most of which contain co-inherited variants in strong linkage disequilibrium (LD) with indistinguishable statistical significance. The experimental and analytical difficulty in identifying...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Predisposition to Disease
Share to Genetic Variation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Linkage Disequilibrium

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 39965570
DOI: 10.1016/j.ajhg.2025.01.018
PMCID: PMC12081279

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An evolving understanding of multiple causal variants underlying genetic association signals.PMID 39965570Read ↗

Progress and promise in understanding the genetic basis of common diseases.Semantic proximity Read ↗

A global overview of pleiotropy and genetic architecture in complex traitsSemantic proximity Read ↗

Genome-wide association studies: potential next steps on a genetic journey.Semantic proximity Read ↗

Towards a complete resolution of the genetic architecture of disease.Semantic proximity Read ↗

Causal inference for multiple risk factors and diseases from genomics dataSemantic proximity Read ↗

Methods for Prioritizing Causal Genes in Molecular Studies of Human Disease: The State of the Art.Semantic proximity Read ↗

Building The Human Genotype-Phenotype Map to Harness Pleiotropy and Refine Disease MechanismsSemantic proximity Read ↗

The Post-GWAS Era: From Association to Function.Semantic proximity Read ↗

CGene: an R package for implementation of causal genetic analyses.Semantic proximity Read ↗

Inferring genetic variant networks by leveraging pleiotropy shows trait relationships drive massive pleiotropy in GWASSemantic proximity Read ↗

Mapping rare and common causal alleles for complex human diseases.Semantic proximity Read ↗

Insights from GWAS: emerging landscape of mechanisms underlying complex trait disease.Semantic proximity Read ↗

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