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Fine Mapping and Functional Studies of Risk Variants for Type 1 Diabetes at Chromosome 16p13.13
Single nucleotide polymorphisms (SNPs) located in the chromosomal region 16p13.13 have been previously associated with risk for several autoimmune diseases, including type 1 diabetes. To identify and localize specific risk variants for type 1 diabetes in this region and understand the mechanism of t...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237999/ https://www.ncbi.nlm.nih.gov/pubmed/25008175 http://dx.doi.org/10.2337/db13-1785 |
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author | Tomlinson, M. Joseph Pitsillides, Achilleas Pickin, Rebecca Mika, Matthew Keene, Keith L. Hou, Xuanlin Mychaleckyj, Josyf Chen, Wei-Min Concannon, Patrick Onengut-Gumuscu, Suna |
author_facet | Tomlinson, M. Joseph Pitsillides, Achilleas Pickin, Rebecca Mika, Matthew Keene, Keith L. Hou, Xuanlin Mychaleckyj, Josyf Chen, Wei-Min Concannon, Patrick Onengut-Gumuscu, Suna |
author_sort | Tomlinson, M. Joseph |
collection | PubMed |
description | Single nucleotide polymorphisms (SNPs) located in the chromosomal region 16p13.13 have been previously associated with risk for several autoimmune diseases, including type 1 diabetes. To identify and localize specific risk variants for type 1 diabetes in this region and understand the mechanism of their action, we resequenced a 455-kb region in type 1 diabetic patients and unaffected control subjects, identifying 93 novel variants. A panel of 939 SNPs that included 46 of these novel variants was genotyped in 3,070 multiplex families with type 1 diabetes. Forty-eight SNPs, all located in CLEC16A, provided a statistically significant association (P < 5.32 × 10(−5)) with disease, with rs34306440 being most significantly associated (P = 5.74 × 10(−6)). The panel of SNPs used for fine mapping was also tested for association with transcript levels for each of the four genes in the region in B lymphoblastoid cell lines. Significant associations were observed only for transcript levels of DEXI, a gene with unknown function. We examined the relationship between the odds ratio for type 1 diabetes and the magnitude of the effect of DEXI transcript levels for each SNP in the region. Among SNPs significantly associated with type 1 diabetes, the common allele conferred an increased risk for disease and corresponded to lower DEXI expression. Our results suggest that the primary mechanism by which genetic variation at CLEC16A contributes to the risk for type 1 diabetes is through reduced expression of DEXI. |
format | Online Article Text |
id | pubmed-4237999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-42379992015-12-01 Fine Mapping and Functional Studies of Risk Variants for Type 1 Diabetes at Chromosome 16p13.13 Tomlinson, M. Joseph Pitsillides, Achilleas Pickin, Rebecca Mika, Matthew Keene, Keith L. Hou, Xuanlin Mychaleckyj, Josyf Chen, Wei-Min Concannon, Patrick Onengut-Gumuscu, Suna Diabetes Genetics/Genomes/Proteomics/Metabolomics Single nucleotide polymorphisms (SNPs) located in the chromosomal region 16p13.13 have been previously associated with risk for several autoimmune diseases, including type 1 diabetes. To identify and localize specific risk variants for type 1 diabetes in this region and understand the mechanism of their action, we resequenced a 455-kb region in type 1 diabetic patients and unaffected control subjects, identifying 93 novel variants. A panel of 939 SNPs that included 46 of these novel variants was genotyped in 3,070 multiplex families with type 1 diabetes. Forty-eight SNPs, all located in CLEC16A, provided a statistically significant association (P < 5.32 × 10(−5)) with disease, with rs34306440 being most significantly associated (P = 5.74 × 10(−6)). The panel of SNPs used for fine mapping was also tested for association with transcript levels for each of the four genes in the region in B lymphoblastoid cell lines. Significant associations were observed only for transcript levels of DEXI, a gene with unknown function. We examined the relationship between the odds ratio for type 1 diabetes and the magnitude of the effect of DEXI transcript levels for each SNP in the region. Among SNPs significantly associated with type 1 diabetes, the common allele conferred an increased risk for disease and corresponded to lower DEXI expression. Our results suggest that the primary mechanism by which genetic variation at CLEC16A contributes to the risk for type 1 diabetes is through reduced expression of DEXI. American Diabetes Association 2014-12 2014-11-13 /pmc/articles/PMC4237999/ /pubmed/25008175 http://dx.doi.org/10.2337/db13-1785 Text en © 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. |
spellingShingle | Genetics/Genomes/Proteomics/Metabolomics Tomlinson, M. Joseph Pitsillides, Achilleas Pickin, Rebecca Mika, Matthew Keene, Keith L. Hou, Xuanlin Mychaleckyj, Josyf Chen, Wei-Min Concannon, Patrick Onengut-Gumuscu, Suna Fine Mapping and Functional Studies of Risk Variants for Type 1 Diabetes at Chromosome 16p13.13 |
title | Fine Mapping and Functional Studies of Risk Variants for Type 1 Diabetes at Chromosome 16p13.13 |
title_full | Fine Mapping and Functional Studies of Risk Variants for Type 1 Diabetes at Chromosome 16p13.13 |
title_fullStr | Fine Mapping and Functional Studies of Risk Variants for Type 1 Diabetes at Chromosome 16p13.13 |
title_full_unstemmed | Fine Mapping and Functional Studies of Risk Variants for Type 1 Diabetes at Chromosome 16p13.13 |
title_short | Fine Mapping and Functional Studies of Risk Variants for Type 1 Diabetes at Chromosome 16p13.13 |
title_sort | fine mapping and functional studies of risk variants for type 1 diabetes at chromosome 16p13.13 |
topic | Genetics/Genomes/Proteomics/Metabolomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237999/ https://www.ncbi.nlm.nih.gov/pubmed/25008175 http://dx.doi.org/10.2337/db13-1785 |
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