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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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Citations
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Journal ArticleDOI

Common type 2 diabetes risk gene variants associate with gestational diabetes.

TL;DR: The prevalence in a prior GDM group of several previously proven type 2 diabetes risk alleles equals the findings from association studies on type 1 diabetes and supports the hypothesis that GDM and type 2abetes are two of the same entity.
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Variations in the HHEX gene are associated with increased risk of type 2 diabetes in the Japanese population.

TL;DR: HHEX is a common type 2 diabetes-susceptibility gene across different ethnic groups and SNPs in other genes such as rs7756992 in CDKAL1, rs10811661 in CDKN2B and rs13266634 in SLC30A8 showed nominal association with type 1 diabetes.
Journal ArticleDOI

The pursuit of genome-wide association studies: where are we now?

TL;DR: An overview of the evolving field of GWAS is given, the progress that has been made by GWAS and some of the interesting findings are discussed, and what has been learned over the past 5 years about the genetic basis of human complex diseases are summarized.
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TCF7L2 regulates late events in insulin secretion from pancreatic islet β-cells.

TL;DR: TCF7L2 is involved in maintaining expression of β-cell genes regulating secretory granule fusion, and defective insulin exocytosis may underlie increased diabetes incidence in carriers of the at-risk TCF 7L2 alleles.
Journal ArticleDOI

Predicting Unobserved Phenotypes for Complex Traits from Whole-Genome SNP Data

TL;DR: It is found that a model that contains both additive and dominance effects, estimated from genome-wide marker data, is successful in predicting unobserved phenotypes and is significantly better than a prediction based upon the phenotypes of close relatives.
References
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Journal ArticleDOI

Principal components analysis corrects for stratification in genome-wide association studies

TL;DR: This work describes a method that enables explicit detection and correction of population stratification on a genome-wide scale and uses principal components analysis to explicitly model ancestry differences between cases and controls.
Journal ArticleDOI

A haplotype map of the human genome

John W. Belmont, +232 more
TL;DR: A public database of common variation in the human genome: more than one million single nucleotide polymorphisms for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted.
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