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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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A Genome-Wide Association Study For Blood Lipid Phenotypes in the Framingham Heart Study

TL;DR: Using a 100K genome-wide scan, a set of putative associations for common sequence variants and lipid phenotypes are generated using a three-stage replication strategy of the GEE association results with no convincing statistical evidence for association between any of the tested SNPs and lipid phenotype.
Journal ArticleDOI

Heterogeneity in meta-analyses of genome-wide association investigations.

TL;DR: Data is used from three GWA studies on type 2 diabetes and their replication efforts where meta-analyses of all data using fixed effects methods (not incorporating between-study heterogeneity) have already been published to highlight potential explanations for between- study heterogeneity.
Journal ArticleDOI

Human genetics illuminates the paths to metabolic disease

TL;DR: The extent to which human molecular genetic research has illuminated the understanding of their underlying pathophysiological mechanisms is explored, and type 2 diabetes and obesity are explored.
Journal ArticleDOI

Role of tRNA modifications in human diseases.

TL;DR: Current knowledge that directly link tRNA modifications to human diseases such as cancer, type 2 diabetes (T2D), neurological disorders, and mitochondrial-linked disorders is compiled.
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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