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Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls
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Exome sequencing.pdf | Published version | 8.77 MB | Adobe PDF | View/Open |
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 |