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

Sixty-five common genetic variants and prediction of type 2 diabetes.

Diabetes - 1 May 2015

Talmud Philippa J, Cooper Jackie A, Morris Richard W, Dudbridge Frank, Shah Tina, Engmann Jorgen, Dale Caroline, White Jon, McLachlan Stela, Zabaneh Delilah, Wong Andrew, Ong Ken K, Gaunt Tom, Holmes Michael V, Lawlor Debbie A, Richards Marcus, Hardy Rebecca, Kuh Diana, Wareham Nicholas, Langenberg Claudia, Ben-Shlomo Yoav, Wannamethee S Goya, Strachan Mark W J, Kumari Meena, Whittaker John C, Drenos Fotios, Kivimaki Mika, Hingorani Aroon D, Price Jacqueline F, Humphries Steve E

Abstract excerpt

We developed a 65 type 2 diabetes (T2D) variant-weighted gene score to examine the impact on T2D risk assessment in a U.K.-based consortium of prospective studies, with subjects initially free from T2D (N = 13,294; 37.3% women; mean age 58.5 [38-99] years). We compared the performance of the gene...

Read the complete abstract on PubMed

Topics

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

Share to Aged
Share to Aged, 80 and over

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Body Mass Index

Share to Diabetes Mellitus, Type 2

Share to Odds Ratio

Share to Risk Factors

Share to Sex Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 25475436
DOI: 10.2337/db14-1504
PMCID: PMC4407866

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-25475436-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Sixty-five common genetic variants and prediction of type 2 diabetes.PMID 25475436Read ↗

Genomic risk score provides predictive performance for type 2 diabetes in the UK biobank.Semantic proximity Read ↗

Assessing the clinical utility of a genetic risk score constructed using 49 susceptibility alleles for type 2 diabetes in a Japanese population.Semantic proximity Read ↗

Personalized risk prediction for type 2 diabetes: the potential of genetic risk scores.Semantic proximity Read ↗

A Type 1 Diabetes Genetic Risk Score Can Aid Discrimination Between Type 1 and Type 2 Diabetes in Young Adults.Semantic proximity Read ↗

Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study.Semantic proximity Read ↗

Joint effects of common genetic variants on the risk for type 2 diabetes in U.S. men and women of European ancestry.Semantic proximity Read ↗

Validating the doubly weighted genetic risk score for the prediction of type 2 diabetes in the Lifelines and Estonian Biobank cohorts.Semantic proximity Read ↗

Polygenic type 2 diabetes prediction at the limit of common variant detection.Semantic proximity Read ↗

Metabolite traits and genetic risk provide complementary information for the prediction of future type 2 diabetes.Semantic proximity Read ↗

Genetic risk score of 46 type 2 diabetes risk variants associates with changes in plasma glucose and estimates of pancreatic β-cell function over 5 years of follow-up.Semantic proximity Read ↗

Genetic information and the prediction of incident type 2 diabetes in a high-risk multiethnic population: the EpiDREAM genetic study.Semantic proximity Read ↗

A polygenic risk score derived from common variants of monogenic diabetes genes is associated with young-onset type 2 diabetes and cardiovascular-kidney complications.Semantic proximity Read ↗

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