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A Genome-Wide Assessment of the Role of Untagged Copy Number Variants in Type 1 Diabetes

Genome-wide association studies (GWAS) for type 1 diabetes (T1D) have successfully identified more than 40 independent T1D associated tagging single nucleotide polymorphisms (SNPs). However, owing to technical limitations of copy number variants (CNVs) genotyping assays, the assessment of the role o...

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Autores principales: Zanda, Manuela, Onengut-Gumuscu, Suna, Walker, Neil, Shtir, Corina, Gallo, Daniel, Wallace, Chris, Smyth, Deborah, Todd, John A., Hurles, Matthew E., Plagnol, Vincent, Rich, Stephen S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038470/
https://www.ncbi.nlm.nih.gov/pubmed/24875393
http://dx.doi.org/10.1371/journal.pgen.1004367
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author Zanda, Manuela
Onengut-Gumuscu, Suna
Walker, Neil
Shtir, Corina
Gallo, Daniel
Wallace, Chris
Smyth, Deborah
Todd, John A.
Hurles, Matthew E.
Plagnol, Vincent
Rich, Stephen S.
author_facet Zanda, Manuela
Onengut-Gumuscu, Suna
Walker, Neil
Shtir, Corina
Gallo, Daniel
Wallace, Chris
Smyth, Deborah
Todd, John A.
Hurles, Matthew E.
Plagnol, Vincent
Rich, Stephen S.
author_sort Zanda, Manuela
collection PubMed
description Genome-wide association studies (GWAS) for type 1 diabetes (T1D) have successfully identified more than 40 independent T1D associated tagging single nucleotide polymorphisms (SNPs). However, owing to technical limitations of copy number variants (CNVs) genotyping assays, the assessment of the role of CNVs has been limited to the subset of these in high linkage disequilibrium with tag SNPs. The contribution of untagged CNVs, often multi-allelic and difficult to genotype using existing assays, to the heritability of T1D remains an open question. To investigate this issue, we designed a custom comparative genetic hybridization array (aCGH) specifically designed to assay untagged CNV loci identified from a variety of sources. To overcome the technical limitations of the case control design for this class of CNVs, we genotyped the Type 1 Diabetes Genetics Consortium (T1DGC) family resource (representing 3,903 transmissions from parents to affected offspring) and used an association testing strategy that does not necessitate obtaining discrete genotypes. Our design targeted 4,309 CNVs, of which 3,410 passed stringent quality control filters. As a positive control, the scan confirmed the known T1D association at the INS locus by direct typing of the 5′ variable number of tandem repeat (VNTR) locus. Our results clarify the fact that the disease association is indistinguishable from the two main polymorphic allele classes of the INS VNTR, class I-and class III. We also identified novel technical artifacts resulting into spurious associations at the somatically rearranging loci, T cell receptor, TCRA/TCRD and TCRB, and Immunoglobulin heavy chain, IGH, loci on chromosomes 14q11.2, 7q34 and 14q32.33, respectively. However, our data did not identify novel T1D loci. Our results do not support a major role of untagged CNVs in T1D heritability.
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spelling pubmed-40384702014-06-05 A Genome-Wide Assessment of the Role of Untagged Copy Number Variants in Type 1 Diabetes Zanda, Manuela Onengut-Gumuscu, Suna Walker, Neil Shtir, Corina Gallo, Daniel Wallace, Chris Smyth, Deborah Todd, John A. Hurles, Matthew E. Plagnol, Vincent Rich, Stephen S. PLoS Genet Research Article Genome-wide association studies (GWAS) for type 1 diabetes (T1D) have successfully identified more than 40 independent T1D associated tagging single nucleotide polymorphisms (SNPs). However, owing to technical limitations of copy number variants (CNVs) genotyping assays, the assessment of the role of CNVs has been limited to the subset of these in high linkage disequilibrium with tag SNPs. The contribution of untagged CNVs, often multi-allelic and difficult to genotype using existing assays, to the heritability of T1D remains an open question. To investigate this issue, we designed a custom comparative genetic hybridization array (aCGH) specifically designed to assay untagged CNV loci identified from a variety of sources. To overcome the technical limitations of the case control design for this class of CNVs, we genotyped the Type 1 Diabetes Genetics Consortium (T1DGC) family resource (representing 3,903 transmissions from parents to affected offspring) and used an association testing strategy that does not necessitate obtaining discrete genotypes. Our design targeted 4,309 CNVs, of which 3,410 passed stringent quality control filters. As a positive control, the scan confirmed the known T1D association at the INS locus by direct typing of the 5′ variable number of tandem repeat (VNTR) locus. Our results clarify the fact that the disease association is indistinguishable from the two main polymorphic allele classes of the INS VNTR, class I-and class III. We also identified novel technical artifacts resulting into spurious associations at the somatically rearranging loci, T cell receptor, TCRA/TCRD and TCRB, and Immunoglobulin heavy chain, IGH, loci on chromosomes 14q11.2, 7q34 and 14q32.33, respectively. However, our data did not identify novel T1D loci. Our results do not support a major role of untagged CNVs in T1D heritability. Public Library of Science 2014-05-29 /pmc/articles/PMC4038470/ /pubmed/24875393 http://dx.doi.org/10.1371/journal.pgen.1004367 Text en © 2014 Zanda et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zanda, Manuela
Onengut-Gumuscu, Suna
Walker, Neil
Shtir, Corina
Gallo, Daniel
Wallace, Chris
Smyth, Deborah
Todd, John A.
Hurles, Matthew E.
Plagnol, Vincent
Rich, Stephen S.
A Genome-Wide Assessment of the Role of Untagged Copy Number Variants in Type 1 Diabetes
title A Genome-Wide Assessment of the Role of Untagged Copy Number Variants in Type 1 Diabetes
title_full A Genome-Wide Assessment of the Role of Untagged Copy Number Variants in Type 1 Diabetes
title_fullStr A Genome-Wide Assessment of the Role of Untagged Copy Number Variants in Type 1 Diabetes
title_full_unstemmed A Genome-Wide Assessment of the Role of Untagged Copy Number Variants in Type 1 Diabetes
title_short A Genome-Wide Assessment of the Role of Untagged Copy Number Variants in Type 1 Diabetes
title_sort genome-wide assessment of the role of untagged copy number variants in type 1 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038470/
https://www.ncbi.nlm.nih.gov/pubmed/24875393
http://dx.doi.org/10.1371/journal.pgen.1004367
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