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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.

Authors :
Flannick J
Fuchsberger C
Mahajan A
Teslovich TM
Agarwala V
Gaulton KJ
Caulkins L
Koesterer R
Ma C
Moutsianas L
McCarthy DJ
Rivas MA
Perry JRB
Sim X
Blackwell TW
Robertson NR
Rayner NW
Cingolani P
Locke AE
Tajes JF
Highland HM
Dupuis J
Chines PS
Lindgren CM
Hartl C
Jackson AU
Chen H
Huyghe JR
van de Bunt M
Pearson RD
Kumar A
Müller-Nurasyid M
Grarup N
Stringham HM
Gamazon ER
Lee J
Chen Y
Scott RA
Below JE
Chen P
Huang J
Go MJ
Stitzel ML
Pasko D
Parker SCJ
Varga TV
Green T
Beer NL
Day-Williams AG
Ferreira T
Fingerlin T
Horikoshi M
Hu C
Huh I
Ikram MK
Kim BJ
Kim Y
Kim YJ
Kwon MS
Lee J
Lee S
Lin KH
Maxwell TJ
Nagai Y
Wang X
Welch RP
Yoon J
Zhang W
Barzilai N
Voight BF
Han BG
Jenkinson CP
Kuulasmaa T
Kuusisto J
Manning A
Ng MCY
Palmer ND
Balkau B
Stančáková A
Abboud HE
Boeing H
Giedraitis V
Prabhakaran D
Gottesman O
Scott J
Carey J
Kwan P
Grant G
Smith JD
Neale BM
Purcell S
Butterworth AS
Howson JMM
Lee HM
Lu Y
Kwak SH
Zhao W
Danesh J
Lam VKL
Park KS
Saleheen D
So WY
Tam CHT
Afzal U
Aguilar D
Arya R
Aung T
Chan E
Navarro C
Cheng CY
Palli D
Correa A
Curran JE
Rybin D
Farook VS
Fowler SP
Freedman BI
Griswold M
Hale DE
Hicks PJ
Khor CC
Kumar S
Lehne B
Thuillier D
Lim WY
Liu J
Loh M
Musani SK
Puppala S
Scott WR
Yengo L
Tan ST
Taylor HA
Thameem F
Wilson G
Wong TY
Njølstad PR
Levy JC
Mangino M
Bonnycastle LL
Schwarzmayr T
Fadista J
Surdulescu GL
Herder C
Groves CJ
Wieland T
Bork-Jensen J
Brandslund I
Christensen C
Koistinen HA
Doney ASF
Kinnunen L
Esko T
Farmer AJ
Hakaste L
Hodgkiss D
Kravic J
Lyssenko V
Hollensted M
Jørgensen ME
Jørgensen T
Ladenvall C
Justesen JM
Käräjämäki A
Kriebel J
Rathmann W
Lannfelt L
Lauritzen T
Narisu N
Linneberg A
Melander O
Milani L
Neville M
Orho-Melander M
Qi L
Qi Q
Roden M
Rolandsson O
Swift A
Rosengren AH
Stirrups K
Wood AR
Mihailov E
Blancher C
Carneiro MO
Maguire J
Poplin R
Shakir K
Fennell T
DePristo M
de Angelis MH
Deloukas P
Gjesing AP
Jun G
Nilsson P
Murphy J
Onofrio R
Thorand B
Hansen T
Meisinger C
Hu FB
Isomaa B
Karpe F
Liang L
Peters A
Huth C
O'Rahilly SP
Palmer CNA
Pedersen O
Rauramaa R
Tuomilehto J
Salomaa V
Watanabe RM
Syvänen AC
Bergman RN
Bharadwaj D
Bottinger EP
Cho YS
Chandak GR
Chan JC
Chia KS
Daly MJ
Ebrahim SB
Langenberg C
Elliott P
Jablonski KA
Lehman DM
Jia W
Ma RCW
Pollin TI
Sandhu M
Tandon N
Froguel P
Barroso I
Teo YY
Zeggini E
Loos RJF
Small KS
Ried JS
DeFronzo RA
Grallert H
Glaser B
Metspalu A
Wareham NJ
Walker M
Banks E
Gieger C
Ingelsson E
Im HK
Illig T
Franks PW
Buck G
Trakalo J
Buck D
Prokopenko I
Mägi R
Lind L
Farjoun Y
Owen KR
Gloyn AL
Strauch K
Tuomi T
Kooner JS
Lee JY
Park T
Donnelly P
Morris AD
Hattersley AT
Bowden DW
Collins FS
Atzmon G
Chambers JC
Spector TD
Laakso M
Strom TM
Bell GI
Blangero J
Duggirala R
Tai ES
McVean G
Hanis CL
Wilson JG
Seielstad M
Frayling TM
Meigs JB
Cox NJ
Sladek R
Lander ES
Gabriel S
Mohlke KL
Meitinger T
Groop L
Abecasis G
Scott LJ
Morris AP
Kang HM
Altshuler D
Burtt NP
Florez JC
Boehnke M
McCarthy MI
Source :
Scientific data [Sci Data] 2017 Dec 19; Vol. 4, pp. 170179. Date of Electronic Publication: 2017 Dec 19.
Publication Year :
2017

Abstract

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

Details

Language :
English
ISSN :
2052-4463
Volume :
4
Database :
MEDLINE
Journal :
Scientific data
Publication Type :
Academic Journal
Accession number :
29257133
Full Text :
https://doi.org/10.1038/sdata.2017.179