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Association of RASGRP1 with type 1 diabetes is revealed by combined follow-up of two genome-wide studies.

ABSTRACT: The two genome-wide association studies published by us and by the Wellcome Trust Case-Control Consortium (WTCCC) revealed a number of novel loci, but neither had the statistical power to elucidate all of the genetic components of type 1 diabetes risk, a task for which larger effective sample sizes are needed.We analysed data from two sources: (1) The previously published second stage of our study, with a total sample size of the two stages consisting of 1046 Canadian case-parent trios and 538 multiplex families with 929 affected offspring from the Type 1 Diabetes Genetics Consortium (T1DGC); (2) the Rapid Response 2 (RR2) project of the T1DGC, which genotyped 4417 individuals from 1062 non-overlapping families, including 2059 affected individuals (mostly sibling pairs) for the 1536 markers with the highest statistical significance for type 1 diabetes in the WTCCC results.One locus, mapping to a linkage disequilibrium (LD) block at chr15q14, reached statistical significance by combining results from two markers (rs17574546 and rs7171171) in perfect LD with each other (r2 = 1). We obtained a joint p value of 1.3 x 10(-6), which exceeds by an order of magnitude the conservative threshold of 3.26 x 10(-5) obtained by correcting for the 1536 single nucleotide polymorphisms (SNPs) tested in our study. Meta-analysis with the original WTCCC genome-wide data produced a p value of 5.83 x 10(-9).A novel type 1 diabetes locus was discovered. It involves RASGRP1, a gene known to play a crucial role in thymocyte differentiation and T cell receptor (TCR) signalling by activating the Ras signalling pathway.

SUBMITTER: Qu HQ

PROVIDER: S-EPMC3272492 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature

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Association of RASGRP1 with type 1 diabetes is revealed by combined follow-up of two genome-wide studies.

Qu H Q HQ Grant S F A SF Bradfield J P JP Kim C C Frackelton E E Hakonarson H H Polychronakos C C

Journal of medical genetics 20090521 8

<h4>Background</h4>The two genome-wide association studies published by us and by the Wellcome Trust Case-Control Consortium (WTCCC) revealed a number of novel loci, but neither had the statistical power to elucidate all of the genetic components of type 1 diabetes risk, a task for which larger effective sample sizes are needed.<h4>Methods</h4>We analysed data from two sources: (1) The previously published second stage of our study, with a total sample size of the two stages consisting of 1046 C ...[more]

PMID: 19465406

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Project description:BACKGROUND: Genome-wide association studies (GWAS) have emerged as a powerful approach for identifying susceptibility loci associated with polygenetic diseases such as type 2 diabetes mellitus (T2DM). However, it is still a daunting task to prioritize single nucleotide polymorphisms (SNPs) from GWAS for further replication in different population. Several recent studies have shown that genetic variation often affects gene-expression at proximal (cis) as well as distal (trans) genomic locations by different mechanisms such as altering rate of transcription or splicing or transcript stability. METHODS: To prioritize SNPs from GWAS, we combined results from two GWAS related to T2DM, the Diabetes Genetics Initiative (DGI) and the Wellcome Trust Case Control Consortium (WTCCC), with genome-wide expression data from pancreas, adipose tissue, liver and skeletal muscle of individuals with or without T2DM or animal models thereof to identify T2DM susceptibility loci. RESULTS: We identified 1,170 SNPs associated with T2DM with P < 0.05 in both GWAS and 243 genes that were located in the vicinity of these SNPs. Out of these 243 genes, we identified 115 differentially expressed in publicly available gene expression profiling data. Notably five of them, IGF2BP2, KCNJ11, NOTCH2, TCF7L2 and TSPAN8, have subsequently been shown to be associated with T2DM in different populations. To provide further validation of our approach, we reversed the approach and started with 26 known SNPs associated with T2DM and related traits. We could show that 12 (57%) (HHEX, HNF1B, IGF2BP2, IRS1, KCNJ11, KCNQ1, NOTCH2, PPARG, TCF7L2, THADA, TSPAN8 and WFS1) out of 21 genes located in vicinity of these SNPs were showing aberrant expression in T2DM from the gene expression profiling studies. CONCLUSIONS: Utilizing of gene expression profiling data from different tissues of individuals with or without T2DM or animal models thereof is a powerful tool for prioritizing SNPs from WGAS for further replication studies.

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Association of RASGRP1 with type 1 diabetes is revealed by combined follow-up of two genome-wide studies.

Publications

Association of RASGRP1 with type 1 diabetes is revealed by combined follow-up of two genome-wide studies.

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