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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2014
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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. |
format | Online Article Text |
id | pubmed-4038470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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