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

Genetic analysis in UK Biobank links insulin resistance and transendothelial migration pathways to coronary artery disease.

Nature genetics - 1 Sept 2017

Klarin Derek, Zhu Qiuyu Martin, Emdin Connor A, Chaffin Mark, Horner Steven, McMillan Brian J, Leed Alison, Weale Michael E, Spencer Chris C A, Aguet François, Segrè Ayellet V, Ardlie Kristin G, Khera Amit V, Kaushik Virendar K, Natarajan Pradeep, Kathiresan Sekar

Abstract excerpt

UK Biobank is among the world's largest repositories for phenotypic and genotypic information in individuals of European ancestry. We performed a genome-wide association study in UK Biobank testing ∼9 million DNA sequence variants for association with coronary artery disease (4,831 cases and 115,455 controls) and carried out meta-analysis with previously published results. We identified 15 new loci, bringing the...

Read the complete abstract on PubMed

Topics

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

Share to Coronary Artery Disease
Share to Cytoskeletal Proteins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Guanine Nucleotide Exchange Factors

Share to Human Umbilical Vein Endothelial Cells

Share to Insulin Resistance

Share to Logistic Models

Share to Rho Guanine Nucleotide Exchange Factors

Share to United Kingdom

Source

Open in PubMed Open full text

Identifiers

PMID: 28714974
DOI: 10.1038/ng.3914
PMCID: PMC5577383

Genes

ARHGEF26
CCDC92

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genetic analysis in UK Biobank links insulin resistance and transendothelial migration pathways to coronary artery disease.PMID 28714974Read ↗

A large-scale multi-ethnic genome-wide association study of coronary artery diseaseSemantic proximity Read ↗

Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease.Semantic proximity Read ↗

Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary preventionSemantic proximity Read ↗

Multitrait Genome-Wide Analysis in the UK Biobank Reveals Novel and Distinct Variants Influencing Cardiovascular Traits in Africans and EuropeansSemantic proximity Read ↗

Mapping gene and gene pathways associated with coronary artery disease: a CARDIoGRAM exome and multi-ancestry UK biobank analysis.Semantic proximity Read ↗

Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank.Semantic proximity Read ↗

Genome-Wide Association Studies of Coronary Artery Disease: Recent Progress and Challenges Ahead.Semantic proximity Read ↗

Bidirectional relationship between type 2 diabetes mellitus and coronary artery disease: Prospective cohort study and genetic analyses.Semantic proximity Read ↗

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

Plasma Proteomic Profiles Predict the Risk of Coronary Artery Disease in the UK Biobank CohortSemantic proximity Read ↗

Identification of genetic loci simultaneously associated with multiple cardiometabolic traits.Semantic proximity Read ↗

A precision medicine approach to coronary artery disease risk prediction and mitigation in people with type 2 diabetesSemantic proximity Read ↗

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