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This version published online on September 9, 2008
Journal of Clinical Endocrinology & Metabolism , doi:10.1210/jc.2008-1345
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*Diabetes

Submitted on June 23, 2008
Accepted on September 3, 2008

THE GENETICS OF TYPE 2 DIABETES: A REALISTIC APPRAISAL CIRCA 2008

Jose C. Florez M.D., Ph.D.*

Diabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT; Department of Medicine, Harvard Medical School

* To whom correspondence should be addressed. E-mail: jcflorez{at}partners.org.

Context: Over the last few months, genome-wide association studies have contributed significantly to our understanding of the genetic architecture of type 2 diabetes. If and how this information will impact clinical practice is not yet clear.

Evidence Acquisition: Primary papers reporting genome-wide association studies in type 2 diabetes or establishing a reproducible association for specific candidate genes were compiled. Further information was obtained from background articles, authoritative reviews, and relevant meeting conferences and abstracts.

Evidence Synthesis: As many as 17 genetic loci have been convincingly associated with type 2 diabetes: 14 of these were not previuosly known, and most of them were unsuspected. The associated polymorphisms are common in populations of European descent but have modest effects on risk. These loci highlight new areas for biological exploration, and allow the initiation of experiments designed to develop prediction models and test possible pharmacogenetic and other applications.

Conclusions: While substantial progress in our knowledge of the genetic basis of type 2 diabetes is taking place, these new discoveries represent but a small proportion of the genetic variation underlying the susceptibility to this disorder. Major work is still required to identify the causal variants, test their role in disease prediction and ascertain their therapeutic implications.


Key words: Genetics • type 2 diabetes • genome-wide association




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