Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2009 Aug;5(8):429-36.
doi: 10.1038/nrendo.2009.129. Epub 2009 Jun 30.

Genomics of type 2 diabetes mellitus: implications for the clinician

Affiliations
Review

Genomics of type 2 diabetes mellitus: implications for the clinician

Elliot S Stolerman et al. Nat Rev Endocrinol. 2009 Aug.

Abstract

Our understanding of the genetics of type 2 diabetes mellitus (T2DM) has changed, in part owing to implementation of genome-wide association studies as a method for unraveling the genetic architecture of complex traits. These studies enable a global search throughout the nuclear genome for variants that are associated with specific phenotypes. Currently, single nucleotide polymorphisms in about 24 different genetic loci have been associated with T2DM. Most of these genetic loci are associated with the insulin secretion pathway rather than insulin resistance. Study design, heritability differences and the intrinsic properties of in vivo insulin resistance measures might partially explain why only a few loci associated with insulin resistance have been detected through genome-wide association approaches. Despite the success of these approaches at detecting loci associated with T2DM, currently known associations explain only a small amount of the genetic variance involved in the disease. Compared with previous studies, larger cohorts might be needed to identify variants of smaller effect sizes and lower allele frequencies. Finally, the current list of genetic loci that are related to T2DM does not seem to offer greater predictive value in determining diabetes risk than do commonly used phenotypic risk factors and family history.

PubMed Disclaimer

Similar articles

Cited by

References

    1. Diabetes. 2003 Feb;52(2):573-7 - PubMed
    1. Nat Genet. 2007 Feb;39(2):218-25 - PubMed
    1. N Engl J Med. 2008 Nov 20;359(21):2220-32 - PubMed
    1. Diabetes. 2007 Aug;56(8):2178-82 - PubMed
    1. N Engl J Med. 2006 Jul 20;355(3):241-50 - PubMed

Publication types

MeSH terms