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

Genome-wide gene–diet interaction analysis in the UK Biobank identifies novel effects on hemoglobin A1c

14 Apr 2021

Abstract excerpt

Diet is a significant modifiable risk factor for type 2 diabetes (T2D), and its effect on disease risk is under partial genetic control. Identification of specific gene-diet interactions (GDIs) influencing risk biomarkers such as glycated hemoglobin (HbA1c) is a critical step towards precision nutrition for T2D prevention, but progress has been slow due to limitations in sample size and accuracy of dietary...

Topics

Join the communities discussing this publication.

Genetic Associations and Epidemiology
Nutrition, Genetics, and Disease
Nutritional Studies and Diet

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 33864366
DOI: 10.1093/hmg/ddab109

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-wide gene–diet interaction analysis in the UK Biobank identifies novel effects on hemoglobin A1cPMID 33864366Read ↗

Genome-wide gene-diet interaction analysis in the UK Biobank identifies novel effects on Hemoglobin A1cSemantic proximity Read ↗

Comprehensive genomic analysis of dietary habits in UK Biobank identifies hundreds of genetic associations.Semantic proximity Read ↗

Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK BiobankSemantic proximity Read ↗

Uncovering novel regulatory variants in carbohydrate metabolism: a comprehensive multi-omics study of glycemic traits in the Indian population.Semantic proximity Read ↗

Comprehensive genomic analysis of dietary habits in UK Biobank identifies hundreds of genetic loci and establishes causal relationships between educational attainment and healthy eatingSemantic proximity Read ↗

Effect of Diet Quality and Genetic Predisposition on Hemoglobin A1c and Type 2 Diabetes Risk: Gene-Diet Interaction Analysis of 357,419 Individuals.Semantic proximity Read ↗

Investigating Gene–Diet Interactions Impacting the Association Between Macronutrient Intake and Glycemic TraitsSemantic proximity Read ↗

Gene-Diet Interactions in Type 2 Diabetes: A Systematic Review of Observational Studies and Clinical Trials.Semantic proximity Read ↗

Genetic analysis of circulating metabolic traits in 619,372 individuals.Semantic proximity Read ↗

Personalised Nutrition in Obesity and Prediabetes: Do Genotypes Matter?Semantic proximity Read ↗

Impact of rare and common genetic variants on diabetes diagnosis by hemoglobin A1c in multi-ancestry cohorts: The Trans-Omics for Precision Medicine ProgramSemantic proximity Read ↗

Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank.Semantic proximity Read ↗

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