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Journal ArticleDOI

Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels

TLDR
The discovery of associated variants in unsuspected genes and outside coding regions illustrates the ability of genome-wide association studies to provide potentially important clues to the pathogenesis of common diseases.
Abstract
New strategies for prevention and treatment of type 2 diabetes (T2D) require improved insight into disease etiology. We analyzed 386,731 common single-nucleotide polymorphisms (SNPs) in 1464 patients with T2D and 1467 matched controls, each characterized for measures of glucose metabolism, lipids, obesity, and blood pressure. With collaborators (FUSION and WTCCC/UKT2D), we identified and confirmed three loci associated with T2D-in a noncoding region near CDKN2A and CDKN2B, in an intron of IGF2BP2, and an intron of CDKAL1-and replicated associations near HHEX and in SLC30A8 found by a recent whole-genome association study. We identified and confirmed association of a SNP in an intron of glucokinase regulatory protein (GCKR) with serum triglycerides. The discovery of associated variants in unsuspected genes and outside coding regions illustrates the ability of genome-wide association studies to provide potentially important clues to the pathogenesis of common diseases.

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Journal ArticleDOI

PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
Journal ArticleDOI

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul Burton, +195 more
- 07 Jun 2007 - 
TL;DR: This study has demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in theBritish population is generally modest.
Journal ArticleDOI

Biological, clinical and population relevance of 95 loci for blood lipids

Tanya M. Teslovich, +218 more
- 05 Aug 2010 - 
TL;DR: The results identify several novel loci associated with plasma lipids that are also associated with CAD and provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.
Journal ArticleDOI

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

TL;DR: This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.
Journal ArticleDOI

The NHGRI GWAS Catalog, a curated resource of SNP-trait associations

TL;DR: A number of recent improvements to theNHGRI Catalog of Published Genome-Wide Association Studies are presented, including novel ways for users to interact with the Catalog and changes to the curation infrastructure.
References
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Journal ArticleDOI

The Wellcome Trust Case Control Consortium, U.K.

Kaspar Mossman
- 01 Jan 2008 - 
TL;DR: This article reports that the magazine's award for Research Leader of the Year was given to the Wellcome Trust Case Control Consortium which conducted a huge genetic study to look at the genetic causes for various diseases.
Journal ArticleDOI

Efficiency and power in genetic association studies

TL;DR: A haplotype-based tagging method is demonstrated that uniformly outperforms single-marker tests and methods for prioritization that markedly increase tagging efficiency, and is robust to the completeness of the reference panel from which tags are selected.
Related Papers (5)

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul Burton, +195 more
- 07 Jun 2007 -