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Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

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Title: Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls
Authors: Flannick, J
Mercader, JM
Fuchsberger, C
Udler, MS
Mahajan, A
Wessel, J
Teslovich, TM
Caulkins, L
Koesterer, R
Barajas-Olmos, F
Blackwell, TW
Boerwinkle, E
Brody, JA
Centeno-Cruz, F
Chen, L
Chen, S
Contreras-Cubas, C
Córdova, E
Correa, A
Cortes, M
DeFronzo, RA
Dolan, L
Drews, KL
Elliott, A
Floyd, JS
Gabriel, S
Garay-Sevilla, ME
García-Ortiz, H
Gross, M
Han, S
Heard-Costa, NL
Jackson, AU
Jørgensen, ME
Kang, HM
Kelsey, M
Kim, B-J
Koistinen, HA
Kuusisto, J
Leader, JB
Linneberg, A
Liu, C-T
Liu, J
Lyssenko, V
Manning, AK
Marcketta, A
Malacara-Hernandez, JM
Martínez-Hernández, A
Matsuo, K
Mayer-Davis, E
Mendoza-Caamal, E
Mohlke, KL
Morrison, AC
Ndungu, A
Ng, MCY
O'Dushlaine, C
Payne, AJ
Pihoker, C
Broad Genomics Platform
Post, WS
Preuss, M
Psaty, BM
Vasan, RS
Rayner, NW
Reiner, AP
Revilla-Monsalve, C
Robertson, NR
Santoro, N
Schurmann, C
So, WY
Soberón, X
Stringham, HM
Strom, TM
Tam, CHT
Thameem, F
Tomlinson, B
Torres, JM
Tracy, RP
Van Dam, RM
Vujkovic, M
Wang, S
Welch, RP
Witte, DR
Wong, T-Y
Atzmon, G
Barzilai, N
Blangero, J
Bonnycastle, LL
Bowden, DW
Chambers, JC
Chan, E
Cheng, C-Y
Cho, YS
Collins, FS
De Vries, PS
Duggirala, R
Glaser, B
Gonzalez, C
Gonzalez, ME
Groop, L
Kooner, JS
Kwak, SH
Laakso, M
Lehman, DM
Nilsson, P
Spector, TD
Tai, ES
Tuomi, T
Tuomilehto, J
Wilson, JG
Aguilar-Salinas, CA
Bottinger, E
Burke, B
Carey, DJ
Chan, JCN
Dupuis, J
Frossard, P
Heckbert, SR
Hwang, MY
Kim, YJ
Kirchner, HL
Lee, J-Y
Lee, J
Loos, RJF
Ma, RCW
Morris, AD
O'Donnell, CJ
Palmer, CNA
Pankow, J
Park, KS
Rasheed, A
Saleheen, D
Sim, X
Small, KS
Teo, YY
Haiman, C
Hanis, CL
Henderson, BE
Orozco, L
Tusié-Luna, T
Dewey, FE
Baras, A
Gieger, C
Meitinger, T
Strauch, K
Lange, L
Grarup, N
Hansen, T
Pedersen, O
Zeitler, P
Dabelea, D
Abecasis, G
Bell, GI
Cox, NJ
Seielstad, M
Sladek, R
Meigs, JB
Rich, SS
Rotter, JI
DiscovEHR Collaboration
CHARGE
LuCamp
ProDiGY
GoT2D
ESP
SIGMA-T2D
T2D-GENES
AMP-T2D-GENES
Altshuler, D
Burtt, NP
Scott, LJ
Morris, AP
Florez, JC
McCarthy, MI
Boehnke, M
Item 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.
Issue Date: 1-Jan-2019
Date of Acceptance: 23-Apr-2019
URI: http://hdl.handle.net/10044/1/70623
DOI: https://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/.
Keywords: 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
Conference Place: England
Appears in Collections:School of Public Health