Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87809
Title: Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility
Authors: Boehm, Bernhard Otto
Morahan, Grant
Ram, Ramesh
Mehta, Munish
Nguyen, Quang T.
Larma, Irma
Pociot, Flemming
Concannon, Patrick
Keywords: Diabetes
Genes and Genetic Variants
DRNTU::Science::Medicine
Issue Date: 2016
Source: Ram, R., Mehta, M., Nguyen, Q. T., Larma, I., Boehm, B. O., Pociot, F., . . . Morahan, G. (2016). Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility. The Journal of Immunology, 196(7), 3043-3053. doi:10.4049/jimmunol.1502056
Series/Report no.: The Journal of Immunology
Abstract: Genome-wide association studies have found >60 loci that confer genetic susceptibility to type 1 diabetes (T1D). Many of these are defined only by anonymous single nucleotide polymorphisms: the underlying causative genes, as well as the molecular bases by which they mediate susceptibility, are not known. Identification of how these variants affect the complex mechanisms contributing to the loss of tolerance is a challenge. In this study, we performed systematic analyses to characterize these variants. First, all known genes in strong linkage disequilibrium (r2 > 0.8) with the reported single nucleotide polymorphisms for each locus were tested for commonly occurring nonsynonymous variations. We found only a total of 22 candidate genes at 16 T1D loci with common nonsynonymous alleles. Next, we performed functional studies to examine the effect of non-HLA T1D risk alleles on regulating expression levels of genes in four different cell types: EBV-transformed B cell lines (resting and 6 h PMA stimulated) and purified CD4+ and CD8+ T cells. We mapped cis-acting expression quantitative trait loci and found 24 non-HLA loci that affected the expression of 31 transcripts significantly in at least one cell type. Additionally, we observed 25 loci that affected 38 transcripts in trans. In summary, our systems genetics analyses defined the effect of T1D risk alleles on levels of gene expression and provide novel insights into the complex genetics of T1D, suggesting that most of the T1D risk alleles mediate their effect by influencing expression of multiple nearby genes.
URI: https://hdl.handle.net/10356/87809
http://hdl.handle.net/10220/46817
ISSN: 0022-1767
DOI: 10.4049/jimmunol.1502056
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Rights: © 2016 American Association of Immunologists (AAI).
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:LKCMedicine Journal Articles

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