학술논문

Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls
Document Type
article
Author
Flannick, JasonMercader, Josep MFuchsberger, ChristianUdler, Miriam SMahajan, AnubhaWessel, JenniferTeslovich, Tanya MCaulkins, LizzKoesterer, RyanBarajas-Olmos, FranciscoBlackwell, Thomas WBoerwinkle, EricBrody, Jennifer ACenteno-Cruz, FedericoChen, LingChen, SiyingContreras-Cubas, CeciliaCórdova, EmilioCorrea, AdolfoCortes, MariaDeFronzo, Ralph ADolan, LawrenceDrews, Kimberly LElliott, AmandaFloyd, James SGabriel, StaceyGaray-Sevilla, Maria EugeniaGarcía-Ortiz, HumbertoGross, MyronHan, SoheeHeard-Costa, Nancy LJackson, Anne UJørgensen, Marit EKang, Hyun MinKelsey, MeganKim, Bong-JoKoistinen, Heikki AKuusisto, JohannaLeader, Joseph BLinneberg, AllanLiu, Ching-TiLiu, JianjunLyssenko, ValeriyaManning, Alisa KMarcketta, AnthonyMalacara-Hernandez, Juan ManuelMartínez-Hernández, AngélicaMatsuo, KarenMayer-Davis, ElizabethMendoza-Caamal, ElviaMohlke, Karen LMorrison, Alanna CNdungu, AnneNg, Maggie CYO’Dushlaine, ColmPayne, Anthony JPihoker, CatherinePost, Wendy SPreuss, MichaelPsaty, Bruce MVasan, Ramachandran SRayner, N WilliamReiner, Alexander PRevilla-Monsalve, CristinaRobertson, Neil RSantoro, NicolaSchurmann, ClaudiaSo, Wing YeeSoberón, XavierStringham, Heather MStrom, Tim MTam, Claudia HTThameem, FarookTomlinson, BrianTorres, Jason MTracy, Russell Pvan Dam, Rob MVujkovic, MarijanaWang, ShuaiWelch, Ryan PWitte, Daniel RWong, Tien-YinAtzmon, GilBarzilai, NirBlangero, JohnBonnycastle, Lori LBowden, Donald WChambers, John CChan, EdmundCheng, Ching-YuCho, Yoon ShinCollins, Francis Sde Vries, Paul SDuggirala, RavindranathGlaser, BenjaminGonzalez, ClicerioGonzalez, Ma ElenaGroop, LeifKooner, Jaspal SinghKwak, Soo Heon
Source
Nature. 570(7759)
Subject
Epidemiology
Biological Sciences
Health Sciences
Genetics
Human Genome
Prevention
Biotechnology
Diabetes
Aetiology
2.1 Biological and endogenous factors
Metabolic and endocrine
Animals
Case-Control Studies
Decision Support Techniques
Diabetes Mellitus
Type 2
Exome
Female
Gene Frequency
Genome-Wide Association Study
Humans
Male
Mice
Mice
Knockout
Exome Sequencing
Broad Genomics Platform
DiscovEHR Collaboration
CHARGE
LuCamp
ProDiGY
GoT2D
ESP
SIGMA-T2D
T2D-GENES
AMP-T2D-GENES
General Science & Technology
Language
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.