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

Analysis of rare coding variants in 470,000 exome-sequenced subjects characterises contributions to risk of type 2 diabetes.

PloS one - 1 Jan 2024

Curtis David

Abstract excerpt

AIMS: To follow up results from an earlier study using an extended sample of 470,000 exome-sequenced subjects to identify genes associated with type 2 diabetes (T2D) and to characterise the distribution of rare variants in these genes. MATERIALS AND METHODS: Exome sequence data for 470,000 UK Biobank participants was analysed using a combined phenotype for T2D obtained from diagnostic and prescription data....

Read the complete abstract on PubMed

Topics

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

Share to Diabetes Mellitus, Type 2
Share to Exome
Share to Exome Sequencing

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genetic Variation

Share to Risk Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 39666780
DOI: 10.1371/journal.pone.0311827
PMCID: PMC11637267

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

Analysis of rare coding variants in 470,000 exome-sequenced subjects characterises contributions to risk of type 2 diabetes.PMID 39666780Read ↗

Analysis of rare coding variants in 470,000 exome-sequenced subjects characterises contributions to risk of type 2 diabetesSemantic proximity Read ↗

Analysis of rare coding variants in 200,000 exome-sequenced subjects reveals novel genetic risk factors for type 2 diabetes.Semantic proximity Read ↗

Weighted burden analysis in 200,000 exome-sequenced subjects characterises rare variant effects on risk of type 2 diabetesSemantic proximity Read ↗

Gene-level analysis of rare variants in 363,977 whole exome sequences identifies an association of <i>GIGYF1</i> loss of function with type 2 diabetesSemantic proximity Read ↗

Gene-level analysis of rare variants in 379,066 whole exome sequences identifies an association of GIGYF1 loss of function with type 2 diabetes.Semantic proximity Read ↗

Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.Semantic proximity Read ↗

Rare Genetic Variation Underlying Human Diseases and Traits: Results from 200,000 Individuals in the UK BiobankSemantic proximity Read ↗

Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank.Semantic proximity Read ↗

Rare variant association analysis in 51,256 type 2 diabetes cases and 370,487 controls informs the spectrum of pathogenicity of monogenic diabetes genesSemantic proximity Read ↗

Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes.Semantic proximity Read ↗

An ancestry-enriched HNF4A variant and GP2 reveal distinct mechanisms of type 2 diabetes in exome-wide study of 13,674 cases and 41,024 controlsSemantic proximity Read ↗

Genetics of type 2 diabetes and potential clinical implications.Semantic proximity Read ↗

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