Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility

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Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility. / Ram, Ramesh; Mehta, Munish; Nguyen, Tri Quang; Larma, Irma; Boehm, Bernhard O; Pociot, Flemming; Concannon, Patrick; Morahan, Grant.

I: Journal of Immunology, Bind 196, Nr. 7, 2016, s. 3043-3053.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Ram, R, Mehta, M, Nguyen, TQ, Larma, I, Boehm, BO, Pociot, F, Concannon, P & Morahan, G 2016, 'Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility', Journal of Immunology, bind 196, nr. 7, s. 3043-3053. https://doi.org/10.4049/jimmunol.1502056

APA

Ram, R., Mehta, M., Nguyen, T. Q., Larma, I., Boehm, B. O., Pociot, F., Concannon, P., & Morahan, G. (2016). Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility. Journal of Immunology, 196(7), 3043-3053. https://doi.org/10.4049/jimmunol.1502056

Vancouver

Ram R, Mehta M, Nguyen TQ, Larma I, Boehm BO, Pociot F o.a. Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility. Journal of Immunology. 2016;196(7):3043-3053. https://doi.org/10.4049/jimmunol.1502056

Author

Ram, Ramesh ; Mehta, Munish ; Nguyen, Tri Quang ; Larma, Irma ; Boehm, Bernhard O ; Pociot, Flemming ; Concannon, Patrick ; Morahan, Grant. / Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility. I: Journal of Immunology. 2016 ; Bind 196, Nr. 7. s. 3043-3053.

Bibtex

@article{2e7ec5eb1e8f4ee09e5772c7c435d627,
title = "Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility",
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.",
author = "Ramesh Ram and Munish Mehta and Nguyen, {Tri Quang} and Irma Larma and Boehm, {Bernhard O} and Flemming Pociot and Patrick Concannon and Grant Morahan",
year = "2016",
doi = "10.4049/jimmunol.1502056",
language = "English",
volume = "196",
pages = "3043--3053",
journal = "Journal of Immunology",
issn = "0022-1767",
publisher = "American Association of Immunologists",
number = "7",

}

RIS

TY - JOUR

T1 - Systematic evaluation of genes and genetic variants associated with type 1 diabetes susceptibility

AU - Ram, Ramesh

AU - Mehta, Munish

AU - Nguyen, Tri Quang

AU - Larma, Irma

AU - Boehm, Bernhard O

AU - Pociot, Flemming

AU - Concannon, Patrick

AU - Morahan, Grant

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

U2 - 10.4049/jimmunol.1502056

DO - 10.4049/jimmunol.1502056

M3 - Journal article

C2 - 26912320

AN - SCOPUS:84962534703

VL - 196

SP - 3043

EP - 3053

JO - Journal of Immunology

JF - Journal of Immunology

SN - 0022-1767

IS - 7

ER -

ID: 180734897