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

Sharing of Genes and Pathways Across Complex Phenotypes: A Multilevel Genome-Wide Analysis.

Genetics - 1 Jul 2017

Gui Hongsheng, Kwan Johnny S, Sham Pak C, Cherny Stacey S, Li Miaoxin

Abstract excerpt

Evidence from genome-wide association studies (GWAS) suggest that pleiotropic effects on human complex phenotypes are very common. Recently, an atlas of genetic correlations among complex phenotypes has broadened our understanding of human diseases and traits. Here, we examine genetic overlap, from a gene-centric perspective, among the same 24 phenotypes previously investigated for genetic correlations. After...

Read the complete abstract on PubMed

Topics

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

Share to Datasets as Topic
Share to Genetic Linkage
Share to Genetic Pleiotropy

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genome, Human

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 28495956
DOI: 10.1534/genetics.116.198150
PMCID: PMC5500153

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Sharing of Genes and Pathways Across Complex Phenotypes: A Multilevel Genome-Wide Analysis.PMID 28495956Read ↗

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

Genome-Wide Assessment of Pleiotropy Across >1000 Traits from Global BiobanksSemantic proximity Read ↗

Identifying the genetic basis and molecular mechanisms underlying phenotypic correlation between complex human traits using a gene-based approachSemantic proximity Read ↗

Large-scale meta-analysis of over one million individuals reveals the genetic architecture of 127 complex traits in East Asian populationsSemantic proximity Read ↗

GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics.Semantic proximity Read ↗

Phenome-wide search for pleiotropic loci highlights key genes and molecular pathways for human complex traitsSemantic proximity Read ↗

Systematic classification of shared components of genetic risk for common human diseasesSemantic proximity Read ↗

Identifying cross-disease components of genetic risk across hospital data in the UK Biobank.Semantic proximity Read ↗

A global overview of genetically interpretable comorbidities among common diseases in UK BiobankSemantic proximity Read ↗

A cross-population atlas of genetic associations for 220 human phenotypes.Semantic proximity Read ↗

Common and rare genetic variants show network convergence for a majority of human traitsSemantic proximity Read ↗

The landscape of genetic susceptibility correlations among diseases and traits.Semantic proximity Read ↗

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