SynthesisAmerican journal of epidemiology2013
Predicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: a systematic review.
Synthesis in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 66 citations in OpenAlex.
- 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
- DRPM: An advanced predictive model for early diabetes detection and risk stratification.Molecular therapy. Nucleic acids · 2025Article
- Association of Calpain-10 gene polymorphisms with Type 2 diabetes mellitus: a case-control study from a tertiary care hospital in Pakistan.BMC medical genomics · 2025Article
- Proteomic Signature of BMI and Risk of Type 2 Diabetes.Diabetes · 2025Article
- Approaches to predict future type 2 diabetes mellitus and chronic kidney disease: A scoping review.PloS one · 2025Article
- Role of Delta/Notch-like EGF-related receptor in blood glucose homeostasis.Frontiers in endocrinology · 2023Article
- Multi-omics profiling: the way towards precision medicine in metabolic diseases.Journal of molecular cell biology · 2021Article
- The association between plasma proneurotensin and glucose regulation is modified by country of birth.Scientific reports · 2019Observational
- A Point System for Predicting 10-Year Risk of Developing Type 2 Diabetes Mellitus in Japanese Men: Aichi Workers' Cohort Study.Journal of epidemiology · 2018Article
- Genetic Privacy, Disease Prevention, and the Principle of Rescue.The Hastings Center report · 2018Article
- Six-Year Diabetes Incidence After Genetic Risk Testing and Counseling: A Randomized Clinical Trial.Diabetes care · 2018Article
- Multiple Score Comparison: a network meta-analysis approach to comparison and external validation of prognostic scores.BMC medical research methodology · 2017Article
- Glucose tolerance female-specific QTL mapped in collaborative cross mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2017Article
- Enrichment of minor allele of SNPs and genetic prediction of type 2 diabetes risk in British population.PloS one · 2017Article
- Developing and evaluating polygenic risk prediction models for stratified disease prevention.Nature reviews. Genetics · 2016Review
- Reclassification of genetic-based risk predictions as GWAS data accumulate.Genome medicine · 2016Article
- Lack of association between rs1800795 (-174 G/C) polymorphism in the promoter region of interleukin-6 gene and susceptibility to type 2 diabetes in Isfahan population.Advanced biomedical research · 2016Article
- A Review of Emerging Technologies for the Management of Diabetes Mellitus.IEEE transactions on bio-medical engineering · 2015Review
- Utilizing Genetic Predisposition Score in Predicting Risk of Type 2 Diabetes Mellitus Incidence: A Community-based Cohort Study on Middle-aged Koreans.Journal of Korean medical science · 2015Article
- A Mendelian randomization study of the effect of type-2 diabetes on coronary heart disease.Nature communications · 2015Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
This study aimed to evaluate the predictive performance of genetic risk models based on risk loci identified and/or confirmed in genome-wide association studies for type 2 diabetes mellitus. A systematic literature search was conducted in the PubMed/MEDLINE and EMBASE databases through April 13, 2012, and published data relevant to the prediction of type 2 diabetes based on genome-wide association marker-based risk models (GRMs) were included. Of the 1,234 potentially relevant articles, 21 articles representing 23 studies were eligible for inclusion. The median area under the receiver operating characteristic curve (AUC) among eligible studies was 0.60 (range, 0.55-0.68), which did not differ appreciably by study design, sample size, participants' race/ethnicity, or the number of genetic markers included in the GRMs. In addition, the AUCs for type 2 diabetes did not improve appreciably with the addition of genetic markers into conventional risk factor-based models (median AUC, 0.79 (range, 0.63-0.91) vs. median AUC, 0.78 (range, 0.63-0.90), respectively). A limited number of included studies used reclassification measures and yielded inconsistent results. In conclusion, GRMs showed a low predictive performance for risk of type 2 diabetes, irrespective of study design, participants' race/ethnicity, and the number of genetic markers included. Moreover, the addition of genome-wide association markers into conventional risk models produced little improvement in predictive performance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.