Literature DB >> 20378605

In silico replication of the genome-wide association results of the Type 1 Diabetes Genetics Consortium.

Hui-Qi Qu1, Jonathan P Bradfield, Quan Li, Cecilia Kim, Edward Frackelton, Struan F A Grant, Hakon Hakonarson, Constantin Polychronakos.   

Abstract

Recently, the Type 1 Diabetes Genetics Consortium (T1DGC) reported 22 novel type 1 diabetes (T1D)-associated loci identified by meta-analysis of three genome-wide association studies (GWASs) with a case-control design. However, the association of 10 of these 22 reported loci was not confirmed in the T1DGC family cohort (P > 0.1). To address concerns about potential bias from population stratification, this study aims to replicate the association in three independent GWAS cohorts, one of which was based on the stratification-proof transmission disequilibrium analysis. Three European-descent population samples were included in this study: 483 cases and both parents, a case-control cohort of 514 cases and 2027 controls, and an additional cohort of 1078 cases and 341 controls from the dbGaP database. Among the 22 SNPs reported by the T1DGC, we had high-quality genotypes for 15; the remaining were imputed. T1D association was replicated in seven loci after Bonferroni correction for 22 independent hypotheses. An additional eight loci had nominal (one-sided) significance of P < 0.1 in the same direction, giving a false discovery rate of 3.35%. The genetic susceptibility conferred by non-HLA loci in our family cohort with one affected offspring was higher than the T1DGC multiplex families. Reciprocally, the frequency of strongly predisposing HLA alleles in the multiplex families was higher. This study replicated T1D association with at least as many of these novel loci as expected from the power of our sample size, thus supporting the validity of the new discoveries.

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Year:  2010        PMID: 20378605     DOI: 10.1093/hmg/ddq133

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  11 in total

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Review 6.  Comprehensive literature review and statistical considerations for GWAS meta-analysis.

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7.  A genome-wide meta-analysis of six type 1 diabetes cohorts identifies multiple associated loci.

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9.  The impact of phenotypic and genetic heterogeneity on results of genome wide association studies of complex diseases.

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10.  Genes involved in type 1 diabetes: an update.

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Journal:  Genes (Basel)       Date:  2013-09-16       Impact factor: 4.096

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