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Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes.
Citation | “Rare Genetic Variants Of Large Effect Influence Risk Of Type 1 Diabetes.”. Diabetes, pp. 784-795. . |
Center | University of Washington |
Author | Vincenzo Forgetta, Despoina Manousaki, Roman Istomine, Stephanie Ross, Marie-Catherine Tessier, Luc Marchand, Min Li, Hui-Qi Qu, Jonathan P Bradfield, Struan F A Grant, Hakon Hakonarson, DCCT/EDIC Research Group, Andrew D Paterson, Ciriaco Piccirillo, Constantin Polychronakos, Brent Richards |
Abstract |
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 < 0.05 and < In silico analysis prioritized a rare variant at 2q24.3 (rs60587303 [C], MAF 0.5%) within the first intron of with an effect size comparable with those of common variants in the and loci (combined [from the discovery and replication cohorts] estimate of odds ratio [OR] 1.97, 95% CI 1.58-2.47, = 2.9 × 10). Pharmacological inhibition of 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. |
Year of Publication |
2020
|
Journal |
Diabetes
|
Volume |
69
|
Issue |
4
|
Number of Pages |
784-795
|
Date Published |
12/2020
|
ISSN Number |
1939-327X
|
DOI |
10.2337/db19-0831
|
Alternate Journal |
Diabetes
|
PMID |
32005708
|
PMCID |
PMC7085253
|
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