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Conditional meta-analysis stratifying on detailed HLA genotypes identifies a novel type 1 diabetes locus around TCF19 in the MHC

机译:对详细的HLA基因型进行分层的条件荟萃分析可确定MHC中TCF19附近的新型1型糖尿病基因座

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摘要

The human leukocyte antigen (HLA) class II genes HLA-DRB1, -DQA1 and -DQB1 are the strongest genetic factors for type 1 diabetes (T1D). Additional loci in the major histocompatibility complex (MHC) are difficult to identify due to the region’s high gene density and complex linkage disequilibrium (LD). To facilitate the association analysis, two novel algorithms were implemented in this study: one for phasing the multi-allelic HLA genotypes in trio families, and one for partitioning the HLA strata in conditional testing. Screening and replication were performed on two large and independent datasets: the Wellcome Trust Case–Control Consortium (WTCCC) dataset of 2,000 cases and 1,504 controls, and the T1D Genetics Consortium (T1DGC) dataset of 2,300 nuclear families. After imputation, the two datasets have 1,941 common SNPs in the MHC, of which 22 were successfully tested and replicated based on the statistical testing stratifying on the detailed DRB1 and DQB1 genotypes. Further conditional tests using the combined dataset confirmed eight novel SNP associations around 31.3 Mb on chromosome 6 (rs3094663, p = 1.66 × 10−11 and rs2523619, p = 2.77 × 10−10 conditional on the DR/DQ genotypes). A subsequent LD analysis established TCF19, POU5F1, CCHCR1 and PSORS1C1 as potential causal genes for the observed association.
机译:人类白细胞抗原(HLA)II类基因HLA-DRB1,-DQA1和-DQB1是1型糖尿病(T1D)的最强遗传因子。由于该地区的高基因密度和复杂的连锁不平衡(LD),很难识别主要组织相容性复合体(MHC)中的其他基因座。为了促进关联分析,本研究中采用了两种新颖的算法:一种用于对三重家族中的多等位基因HLA基因型进行分相,一种用于在条件测试中划分HLA层次。筛选和复制是在两个大型且独立的数据集上进行的:2,000个病例的Wellcome信任病例-对照协会(WTCCC)和1,504个对照的数据集,以及2,300个核家族的T1D遗传学协会(T1DGC)的数据集。推算后,这两个数据集在MHC中具有1,941个常见SNP,其中基于对详细DRB1和DQB1基因型进行分层的统计测试,成功测试和复制了22个。使用合并后的数据集进行的进一步条件测试确认了6号染色体上31.3 Mb附近的8个新SNP关联(rs3094663,p = 1.66×10 −11 和rs2523619,p = 2.77×10 −10 取决于DR / DQ基因型)。随后的LD分析确定TCF19,POU5F1,CCHCR1和PSORS1C1为所观察到的关联的潜在因果基因。

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