Literature DB >> 19956073

Novel biological insights emerging from genetic studies of type 2 diabetes and related metabolic traits.

N Maneka G De Silva1, Timothy M Frayling.   

Abstract

PURPOSE OF REVIEW: In the past 3 years, genome-wide association studies have identified many tens of common genetic variants associated with metabolic diseases and traits. Although much further research is needed to identify the target genes, the associations between gene variants and diseases are already providing biological insights. The purpose of this review is to update the reader with the most relevant findings, with a particular emphasis on type 2 diabetes (T2D) and glucose metabolism, and discuss some of the biological implications of the genetic findings. RECENT
FINDINGS: Largely through recent genome-wide association studies, we now know of approximately 20 gene variants associated with T2D, 10 with body mass index (BMI) and obesity, four with fasting glucose levels in the normoglycaemic population and over 30 with lipid levels. These findings are stimulating many new important areas of research related to metabolic diseases. For T2D and glucose metabolism, we discuss a number of aspects and implications of the genetic findings, including the observations that T2D gene variants are not usually in or near obvious candidate genes, highlighting the poor prior knowledge of the biology of the disease; most T2D gene variants are associated with beta-cell function rather than insulin resistance; there is a difference between genes that influence variation in normal glucose levels compared with those influencing onset and progression of diabetes; and there is a genetic link between diabetes and foetal growth.
SUMMARY: Genetic studies in the past 3 years have provided a greatly increased knowledge of the regions of the genome involved in adverse metabolic consequences. There are now over 100 common genetic variants reproducibly associated with metabolic traits, including reduced beta-cell function, obesity, increased lipid levels and increased glucose levels. These genetic findings are already altering perceptions of how these traits develop and interact to result in diseases such as T2D.

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Year:  2010        PMID: 19956073     DOI: 10.1097/MOL.0b013e328334fdb6

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  16 in total

1.  Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.

Authors:  Leah E Mechanic; Huann-Sheng Chen; Christopher I Amos; Nilanjan Chatterjee; Nancy J Cox; Rao L Divi; Ruzong Fan; Emily L Harris; Kevin Jacobs; Peter Kraft; Suzanne M Leal; Kimberly McAllister; Jason H Moore; Dina N Paltoo; Michael A Province; Erin M Ramos; Marylyn D Ritchie; Kathryn Roeder; Daniel J Schaid; Matthew Stephens; Duncan C Thomas; Clarice R Weinberg; John S Witte; Shunpu Zhang; Sebastian Zöllner; Eric J Feuer; Elizabeth M Gillanders
Journal:  Genet Epidemiol       Date:  2011-12-06       Impact factor: 2.135

2.  Global epigenomic analysis of primary human pancreatic islets provides insights into type 2 diabetes susceptibility loci.

Authors:  Michael L Stitzel; Praveen Sethupathy; Daniel S Pearson; Peter S Chines; Lingyun Song; Michael R Erdos; Ryan Welch; Stephen C J Parker; Alan P Boyle; Laura J Scott; Elliott H Margulies; Michael Boehnke; Terrence S Furey; Gregory E Crawford; Francis S Collins
Journal:  Cell Metab       Date:  2010-11-03       Impact factor: 27.287

3.  Genetic risk factors for type 2 diabetes: a trans-regulatory genetic architecture?

Authors:  Steven C Elbein; Eric R Gamazon; Swapan K Das; Neda Rasouli; Philip A Kern; Nancy J Cox
Journal:  Am J Hum Genet       Date:  2012-09-07       Impact factor: 11.025

Review 4.  Genetic determinants of cardiometabolic risk: a proposed model for phenotype association and interaction.

Authors:  Piers R Blackett; Dharambir K Sanghera
Journal:  J Clin Lipidol       Date:  2012-04-22       Impact factor: 4.766

Review 5.  Resistance to type 2 diabetes mellitus: a matter of hormesis?

Authors:  Hubert Kolb; Décio L Eizirik
Journal:  Nat Rev Endocrinol       Date:  2011-10-25       Impact factor: 43.330

6.  Building genetic scores to predict risk of complex diseases in humans: is it possible?

Authors:  Simin Liu; Yiqing Song
Journal:  Diabetes       Date:  2010-11       Impact factor: 9.461

Review 7.  Pharmacogenomics in diabetes mellitus: insights into drug action and drug discovery.

Authors:  Kaixin Zhou; Helle Krogh Pedersen; Adem Y Dawed; Ewan R Pearson
Journal:  Nat Rev Endocrinol       Date:  2016-04-11       Impact factor: 43.330

8.  Obesity and the development of type 2 diabetes: the effects of fatty tissue inflammation.

Authors:  Dara P Schuster
Journal:  Diabetes Metab Syndr Obes       Date:  2010-07-16       Impact factor: 3.168

9.  Pleiotropy of type 2 diabetes with obesity.

Authors:  Sandra J Hasstedt; Craig L Hanis; Swapan K Das; Steven C Elbein
Journal:  J Hum Genet       Date:  2011-04-28       Impact factor: 3.172

10.  IRS1 gene variants, dysglycaemic metabolic changes and type-2 diabetes risk.

Authors:  N Yiannakouris; J A Cooper; S Shah; F Drenos; H A Ireland; J W Stephens; K-W Li; R Elkeles; I F Godsland; M Kivimaki; A D Hingorani; M Kumari; P J Talmud; S E Humphries
Journal:  Nutr Metab Cardiovasc Dis       Date:  2011-09-14       Impact factor: 4.222

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