title: Is genetic testing useful to predict type 2 diabetes?
abstract: The early identification of individuals at risk for type 2 diabetes (T2D) enables prevention. Recent genome-wide association studies (GWAS) have added at least 40 genetic variants to the list of already well characterized T2D risk predictors, including family history, obesity, and elevated fasting plasma glucose levels. Although these variants can significantly predict T2D alone and as a part of genotype risk scores, they do not yet offer clinical discrimination beyond that achieved with common clinical measurements. Future progress on at least two research fronts may improve the predictive performance of genotype information. First, expanded GWAS efforts in non-European populations will allow targeted sequencing of risk loci and the identification of true causal variants. Second, studies with longer prediction time horizons may demonstrate that genotype information performs better than clinical risk predictors over a longer period of the life course. At present, however, genetic testing cannot be recommended for clinical T2D risk prediction in adults.
authors.affiliation: General Medicine Division, Massachusetts General Hospital, Boston, 02114, USA. jvassy@partners.org
authors.forename: Jason L
authors.initials: JL
authors.lastname: Vassy
authors.forename: James B
authors.initials: JB
authors.lastname: Meigs
mesh_terms: D000367:Age Factors; D015415:Biomarkers / Q000097:blood; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics*; D005192:Family Health; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing; D055106:Genome-Wide Association Study; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D012307:Risk Factors; D058118:Transcription Factor 7-Like 2 Protein / Q000235:genetics; D044465:White People
chemical_list: D015415:Biomarkers; C544894:TCF7L2 protein, human; D058118:Transcription Factor 7-Like 2 Protein