Literature DB >> 17703236

Genome-wide association studies provide new insights into type 2 diabetes aetiology.

Timothy M Frayling1.   

Abstract

Human geneticists are currently in the middle of a race. Thanks to a new technology in the form of 'genome-wide chips', investigators can potentially find many novel disease genes in one large experiment. Type 2 diabetes has been hot out of the blocks with six recent publications that together provide convincing evidence for six new gene regions involved in the condition. Together with candidate approaches, these studies have identified 11 confirmed genomic regions that alter the risk of type 2 diabetes in the European population. One of these regions, the fat mass and obesity associated gene (FTO), represents by far the best example of an association between common variation and fat mass in the general population.

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Year:  2007        PMID: 17703236     DOI: 10.1038/nrg2178

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  242 in total

1.  Genetic underpinnings of obstructive sleep apnea: are we making progress?

Authors:  Patrick Sleiman; Hakon Hakonarson
Journal:  Sleep       Date:  2011-11-01       Impact factor: 5.849

2.  Identifying genetic marker sets associated with phenotypes via an efficient adaptive score test.

Authors:  Tianxi Cai; Xihong Lin; Raymond J Carroll
Journal:  Biostatistics       Date:  2012-06-25       Impact factor: 5.899

3.  Case-control genome-wide association study of attention-deficit/hyperactivity disorder.

Authors:  Benjamin M Neale; Sarah Medland; Stephan Ripke; Richard J L Anney; Philip Asherson; Jan Buitelaar; Barbara Franke; Michael Gill; Lindsey Kent; Peter Holmans; Frank Middleton; Anita Thapar; Klaus-Peter Lesch; Stephen V Faraone; Mark Daly; Thuy Trang Nguyen; Helmut Schäfer; Hans-Christoph Steinhausen; Andreas Reif; Tobias J Renner; Marcel Romanos; Jasmin Romanos; Andreas Warnke; Susanne Walitza; Christine Freitag; Jobst Meyer; Haukur Palmason; Aribert Rothenberger; Ziarih Hawi; Joseph Sergeant; Herbert Roeyers; Eric Mick; Joseph Biederman
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2010-08-05       Impact factor: 8.829

Review 4.  Uncovering the roles of rare variants in common disease through whole-genome sequencing.

Authors:  Elizabeth T Cirulli; David B Goldstein
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

5.  Genomics: Resident risks.

Authors:  Julia Oh; Julia A Segre
Journal:  Nature       Date:  2012-10-04       Impact factor: 49.962

Review 6.  Does Zinc Really "Metal" with Diabetes? The Epidemiologic Evidence.

Authors:  Manuel Ruz; Fernando Carrasco; Andrés Sánchez; Alvaro Perez; Pamela Rojas
Journal:  Curr Diab Rep       Date:  2016-11       Impact factor: 4.810

7.  Effects of normalization on quantitative traits in association test.

Authors:  Liang Goh; Von Bing Yap
Journal:  BMC Bioinformatics       Date:  2009-12-14       Impact factor: 3.169

Review 8.  Type 2 diabetes: new genes, new understanding.

Authors:  Inga Prokopenko; Mark I McCarthy; Cecilia M Lindgren
Journal:  Trends Genet       Date:  2008-10-25       Impact factor: 11.639

Review 9.  Human genetic variation and its contribution to complex traits.

Authors:  Kelly A Frazer; Sarah S Murray; Nicholas J Schork; Eric J Topol
Journal:  Nat Rev Genet       Date:  2009-04       Impact factor: 53.242

10.  Phenotypic and molecular evaluation of a chromosome 1q region with linkage and association to type 2 diabetes in humans.

Authors:  Hua Wang; Nicholas P Hays; Swapan K Das; Rebekah L Craig; Winston S Chu; Neeraj Sharma; Steven C Elbein
Journal:  J Clin Endocrinol Metab       Date:  2009-01-13       Impact factor: 5.958

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