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  5. Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls
 
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Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls
File(s)
Exome sequencing.pdf (8.56 MB)
Published version
Author(s)
Flannick, Jason
Mercader, Josep M
Fuchsberger, Christian
Udler, Miriam S
Mahajan, Anubha
more
Type
Journal Article
Abstract
Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with type 2 diabetes (T2D) and 24,440 non-diabetic control participants from 5 ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.5%) in 4 genes at exome-wide significance, including a series of more than 30 SLC30A8 alleles that conveys protection against T2D, and in 12 gene sets, including those corresponding to T2D drug targets (P = 6.1 × 10-3) and candidate genes from knockout mice (P = 5.2 × 10-3). Within our study, the strongest T2D gene-level signals for rare variants explain at most 25% of the heritability of the strongest common single-variant signals, and the gene-level effect sizes of the rare variants that we observed in established T2D drug targets will require 75,000-185,000 sequenced cases to achieve exome-wide significance. We propose a method to interpret these modest rare-variant associations and to incorporate these associations into future target or gene prioritization efforts.
Date Issued
2019-06
Date Acceptance
2019-04-23
Citation
Nature, 2019, 570 (7759), pp.71-76
URI
http://hdl.handle.net/10044/1/70623
DOI
https://www.dx.doi.org/10.1038/s41586-019-1231-2
ISSN
0028-0836
Publisher
Nature Research
Start Page
71
End Page
76
Journal / Book Title
Nature
Volume
570
Issue
7759
Copyright Statement
© The Author(s), under exclusive licence to Springer Nature Limited 2019. This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the
source, provide a link to the Creative Commons license, and indicate if
changes were made. The images or other third party material in this article are
included in the article’s Creative Commons license, unless indicated otherwise
in a credit line to the material. If material is not included in the article’s
Creative Commons license and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission
directly from the copyright holder. To view a copy of this license, visit http://
creativecommons.org/licenses/by/4.0/.
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/31118516
PII: 10.1038/s41586-019-1231-2
Subjects
Broad Genomics Platform
DiscovEHR Collaboration
CHARGE
LuCamp
ProDiGY
GoT2D
ESP
SIGMA-T2D
T2D-GENES
AMP-T2D-GENES
MD Multidisciplinary
General Science & Technology
Publication Status
Published
Coverage Spatial
England
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