ArticleDiabetes care2013
Genetic information and the prediction of incident type 2 diabetes in a high-risk multiethnic population: the EpiDREAM genetic study.
Article in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis.Journal of epidemiology · 2018Pooled it
- Does genetic heterogeneity account for the divergent risk of type 2 diabetes in South Asian and white European populations?Diabetologia · 2014Pooled it
- The effect of genetic counseling for adult offspring of patients with type 2 diabetes on attitudes toward diabetes and its heredity: a randomized controlled trial.Journal of genetic counseling · 2014Trial
- Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control.Diabetologia · 2021Article
- Lower Dietary Intake of Plant Protein Is Associated with Genetic Risk of Diabetes-Related Traits in Urban Asian Indian Adults.Nutrients · 2021Article
- Exposure to Persistent Organic Pollutants (POPs) and Their Relationship to Hepatic Fat and Insulin Insensitivity among Asian Indian Immigrants in the United States.Environmental science & technology · 2019Article
- Effects of variants of 50 genes on diabetes risk among the Chinese population born in the early 1960s.Journal of diabetes · 2019Article
- Observational
- Genetic diagnosis and prognosis of Alzheimer's disease: challenges and opportunities.Expert review of molecular diagnostics · 2015Review
- Jumping on the Train of Personalized Medicine: A Primer for Non- Geneticist Clinicians: Part 3. Clinical Applications in the Personalized Medicine Area.Current psychiatry reviews · 2014Article
- Diabetes and associated complications in the South Asian population.Current cardiology reports · 2014Review
- Susceptibility to type 2 diabetes mellitus--from genes to prevention.Nature reviews. Endocrinology · 2014Review
- Genetic insights into cardiometabolic risk factors.The Clinical biochemist. Reviews · 2014Review
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo determine if 16 single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2DM) in Europeans are also associated with T2DM in South Asians and Latinos and if they can add to the prediction of incident T2DM in a high-risk population. RESEARCH DESIGN AND
methodsIn the EpiDREAM prospective cohort study, physical measures, questionnaires, and blood samples were collected from 25,063 individuals at risk for dysglycemia. Sixteen SNPs that have been robustly associated with T2DM in Europeans were genotyped. Among 15,466 European, South Asian, and Latino subjects, we examined the association of these 16 SNPs alone and combined in a gene score with incident cases of T2DM (n = 1,016) that developed during 3.3 years of follow-up.
resultsNine of the 16 SNPs were significantly associated with T2DM, and their direction of effect was consistent across the three ethnic groups. The gene score was significantly higher among subjects who developed incident T2DM (cases vs. noncases: 16.47 [2.50] vs. 15.99 [2.56]; P = 0.00001). The gene score remained an independent predictor of incident T2DM, with an odds ratio of 1.08 (95% CI 1.05-1.11) per additional risk allele after adjustment for T2DM risk factors. The gene score in those with no family history of T2DM was 16.02, whereas it was 16.19 in those with one parent with T2DM and it was 16.32 in those with two parents with T2DM (P trend = 0.0004). The C statistic of T2DM risk factors was 0.708 (0.691-0.725) and increased only marginally to 0.714 (0.698-0.731) with the addition of the gene score (P for C statistic change = 0.0052).
conclusionsT2DM genetic associations are generally consistent across ethnic groups, and a gene score only adds marginal information to clinical factors for T2DM prediction.
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