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

Authors :
Flannick, Jason
Mercader, Josep M
Fuchsberger, Christian
Udler, Miriam S
Mahajan, Anubha
Wessel, Jennifer
Teslovich, Tanya M
Caulkins, Lizz
Koesterer, Ryan
Barajas-Olmos, Francisco
Blackwell, Thomas W
Boerwinkle, Eric
Brody, Jennifer A
Centeno-Cruz, Federico
Chen, Ling
Chen, Siying
Contreras-Cubas, Cecilia
Córdova, Emilio
Correa, Adolfo
Cortes, Maria
DeFronzo, Ralph A
Dolan, Lawrence
Drews, Kimberly L
Elliott, Amanda
Floyd, James S
Gabriel, Stacey
Garay-Sevilla, Maria Eugenia
García-Ortiz, Humberto
Gross, Myron
Han, Sohee
Heard-Costa, Nancy L
Jackson, Anne U
Jørgensen, Marit E
Kang, Hyun Min
Kelsey, Megan
Kim, Bong-Jo
Koistinen, Heikki A
Kuusisto, Johanna
Leader, Joseph B
Linneberg, Allan
Liu, Ching-Ti
Liu, Jianjun
Lyssenko, Valeriya
Manning, Alisa K
Marcketta, Anthony
Malacara-Hernandez, Juan Manuel
Martínez-Hernández, Angélica
Matsuo, Karen
Mayer-Davis, Elizabeth
Mendoza-Caamal, Elvia
Mohlke, Karen L
Morrison, Alanna C
Ndungu, Anne
Ng, Maggie CY
O'Dushlaine, Colm
Payne, Anthony J
Pihoker, Catherine
Broad Genomics Platform
Post, Wendy S
Preuss, Michael
Psaty, Bruce M
Vasan, Ramachandran S
Rayner, N William
Reiner, Alexander P
Revilla-Monsalve, Cristina
Robertson, Neil R
Santoro, Nicola
Schurmann, Claudia
So, Wing Yee
Soberón, Xavier
Stringham, Heather M
Strom, Tim M
Tam, Claudia HT
Thameem, Farook
Tomlinson, Brian
Torres, Jason M
Tracy, Russell P
van Dam, Rob M
Vujkovic, Marijana
Wang, Shuai
Welch, Ryan P
Witte, Daniel R
Wong, Tien-Yin
Atzmon, Gil
Barzilai, Nir
Blangero, John
Bonnycastle, Lori L
Bowden, Donald W
Chambers, John C
Chan, Edmund
Cheng, Ching-Yu
Cho, Yoon Shin
Collins, Francis S
de Vries, Paul S
Duggirala, Ravindranath
Glaser, Benjamin
Gonzalez, Clicerio
Gonzalez, Ma Elena
Groop, Leif
Kooner, Jaspal Singh
Source :
Nature, vol 570, iss 7759
Publication Year :
2019
Publisher :
eScholarship, University of California, 2019.

Abstract

Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791individuals with type 2 diabetes (T2D) and 24,440non-diabetic control participants from 5ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.5%) in 4genes at exome-wide significance, including a series of more than 30SLC30A8 alleles that conveys protection against T2D, and in 12gene 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 75,000-185,000sequenced 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.

Details

Database :
OpenAIRE
Journal :
Nature, vol 570, iss 7759
Accession number :
edsair.dedup.wf.001..422a00f92ff1ca8af073bfd4a26ef831