학술논문

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.
Document Type
article
Author
Mahajan, AnubhaWessel, JenniferWillems, Sara MZhao, WeiRobertson, Neil RChu, Audrey YGan, WeiKitajima, HidetoshiTaliun, DanielRayner, N WilliamGuo, XiuqingLu, YingchangLi, ManJensen, Richard AHu, YaoHuo, ShaofengLohman, Kurt KZhang, WeihuaCook, James PPrins, Bram PeterFlannick, JasonGrarup, NielsTrubetskoy, Vassily VladimirovichKravic, JasminaKim, Young JinRybin, Denis VYaghootkar, HaniehMüller-Nurasyid, MartinaMeidtner, KarinaLi-Gao, RuifangVarga, Tibor VMarten, JonathanLi, JinSmith, Albert VernonAn, PingLigthart, SymenGustafsson, StefanMalerba, GiovanniDemirkan, AyseTajes, Juan FernandezSteinthorsdottir, ValgerdurWuttke, MatthiasLecoeur, CécilePreuss, MichaelBielak, Lawrence FGraff, MarielisaHighland, Heather MJustice, Anne ELiu, Dajiang JMarouli, EiriniPeloso, Gina MarieWarren, Helen RExomeBP ConsortiumMAGIC ConsortiumGIANT ConsortiumAfaq, SaimaAfzal, ShoaibAhlqvist, EmmaAlmgren, PeterAmin, NajafBang, Lia BBertoni, Alain GBombieri, CristinaBork-Jensen, JetteBrandslund, IvanBrody, Jennifer ABurtt, Noël PCanouil, MickaëlChen, Yii-Der IdaCho, Yoon ShinChristensen, CramerEastwood, Sophie VEckardt, Kai-UweFischer, KristaGambaro, GiovanniGiedraitis, VilmantasGrove, Megan Lde Haan, Hugoline GHackinger, SophieHai, YangHan, SoheeTybjærg-Hansen, AnneHivert, Marie-FranceIsomaa, BoJäger, SusanneJørgensen, Marit EJørgensen, TorbenKäräjämäki, AnnemariKim, Bong-JoKim, Sung SooKoistinen, Heikki AKovacs, PeterKriebel, JenniferKronenberg, FlorianLäll, KristiLange, Leslie ALee, Jung-JinLehne, BenjaminLi, HuaixingLin, Keng-Hung
Source
Nature genetics. 50(4)
Subject
ExomeBP Consortium
MAGIC Consortium
GIANT Consortium
Humans
Diabetes Mellitus
Type 2
Genetic Predisposition to Disease
Chromosome Mapping
Alleles
European Continental Ancestry Group
Female
Male
Genetic Variation
Genome-Wide Association Study
Whole Exome Sequencing
Diabetes Mellitus
Type 2
Developmental Biology
Biological Sciences
Medical and Health Sciences
Language
Abstract
We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P