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Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes
Most replicated genetic determinants for type 1 diabetes are common (minor allele frequency [MAF] >5%). We aimed to identify novel rare or low-frequency (MAF <5%) single nucleotide polymorphisms with large effects on risk of type 1 diabetes. We undertook deep imputation of genotyped data follo...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085253/ https://www.ncbi.nlm.nih.gov/pubmed/32005708 http://dx.doi.org/10.2337/db19-0831 |
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author | Forgetta, Vincenzo Manousaki, Despoina Istomine, Roman Ross, Stephanie Tessier, Marie-Catherine Marchand, Luc Li, Min Qu, Hui-Qi Bradfield, Jonathan P. Grant, Struan F.A. Hakonarson, Hakon Paterson, Andrew D. Piccirillo, Ciriaco Polychronakos, Constantin Richards, J. Brent |
author_facet | Forgetta, Vincenzo Manousaki, Despoina Istomine, Roman Ross, Stephanie Tessier, Marie-Catherine Marchand, Luc Li, Min Qu, Hui-Qi Bradfield, Jonathan P. Grant, Struan F.A. Hakonarson, Hakon Paterson, Andrew D. Piccirillo, Ciriaco Polychronakos, Constantin Richards, J. Brent |
author_sort | Forgetta, Vincenzo |
collection | PubMed |
description | Most replicated genetic determinants for type 1 diabetes are common (minor allele frequency [MAF] >5%). We aimed to identify novel rare or low-frequency (MAF <5%) single nucleotide polymorphisms with large effects on risk of type 1 diabetes. We undertook deep imputation of genotyped data followed by genome-wide association testing and meta-analysis of 9,358 type 1 diabetes case and 15,705 control subjects from 12 European cohorts. Candidate variants were replicated in a separate cohort of 4,329 case and 9,543 control subjects. Our meta-analysis identified 27 independent variants outside the MHC, among which 3 were novel and had MAF <5%. Three of these variants replicated with P(replication) < 0.05 and P(combined) < P(discovery). In silico analysis prioritized a rare variant at 2q24.3 (rs60587303 [C], MAF 0.5%) within the first intron of STK39, with an effect size comparable with those of common variants in the INS and PTPN22 loci (combined [from the discovery and replication cohorts] estimate of odds ratio [OR(combined)] 1.97, 95% CI 1.58–2.47, P(combined) = 2.9 × 10(−9)). Pharmacological inhibition of Stk39 activity in primary murine T cells augmented effector responses through enhancement of interleukin 2 signaling. These findings provide insight into the genetic architecture of type 1 diabetes and have identified rare variants having a large effect on disease risk. |
format | Online Article Text |
id | pubmed-7085253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-70852532021-04-01 Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes Forgetta, Vincenzo Manousaki, Despoina Istomine, Roman Ross, Stephanie Tessier, Marie-Catherine Marchand, Luc Li, Min Qu, Hui-Qi Bradfield, Jonathan P. Grant, Struan F.A. Hakonarson, Hakon Paterson, Andrew D. Piccirillo, Ciriaco Polychronakos, Constantin Richards, J. Brent Diabetes Genetics/Genomes/Proteomics/Metabolomics Most replicated genetic determinants for type 1 diabetes are common (minor allele frequency [MAF] >5%). We aimed to identify novel rare or low-frequency (MAF <5%) single nucleotide polymorphisms with large effects on risk of type 1 diabetes. We undertook deep imputation of genotyped data followed by genome-wide association testing and meta-analysis of 9,358 type 1 diabetes case and 15,705 control subjects from 12 European cohorts. Candidate variants were replicated in a separate cohort of 4,329 case and 9,543 control subjects. Our meta-analysis identified 27 independent variants outside the MHC, among which 3 were novel and had MAF <5%. Three of these variants replicated with P(replication) < 0.05 and P(combined) < P(discovery). In silico analysis prioritized a rare variant at 2q24.3 (rs60587303 [C], MAF 0.5%) within the first intron of STK39, with an effect size comparable with those of common variants in the INS and PTPN22 loci (combined [from the discovery and replication cohorts] estimate of odds ratio [OR(combined)] 1.97, 95% CI 1.58–2.47, P(combined) = 2.9 × 10(−9)). Pharmacological inhibition of Stk39 activity in primary murine T cells augmented effector responses through enhancement of interleukin 2 signaling. These findings provide insight into the genetic architecture of type 1 diabetes and have identified rare variants having a large effect on disease risk. American Diabetes Association 2020-04 2020-01-31 /pmc/articles/PMC7085253/ /pubmed/32005708 http://dx.doi.org/10.2337/db19-0831 Text en © 2020 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. More information is available at https://www.diabetesjournals.org/content/license. |
spellingShingle | Genetics/Genomes/Proteomics/Metabolomics Forgetta, Vincenzo Manousaki, Despoina Istomine, Roman Ross, Stephanie Tessier, Marie-Catherine Marchand, Luc Li, Min Qu, Hui-Qi Bradfield, Jonathan P. Grant, Struan F.A. Hakonarson, Hakon Paterson, Andrew D. Piccirillo, Ciriaco Polychronakos, Constantin Richards, J. Brent Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes |
title | Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes |
title_full | Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes |
title_fullStr | Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes |
title_full_unstemmed | Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes |
title_short | Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes |
title_sort | rare genetic variants of large effect influence risk of type 1 diabetes |
topic | Genetics/Genomes/Proteomics/Metabolomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085253/ https://www.ncbi.nlm.nih.gov/pubmed/32005708 http://dx.doi.org/10.2337/db19-0831 |
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