TY - JOUR
T1 - Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes
AU - Lohmueller, Kirk E.
AU - Sparsø, Thomas
AU - Li, Qibin
AU - Andersson, Ehm
AU - Korneliussen, Thorfinn
AU - Albrechtsen, Anders
AU - Banasik, Karina
AU - Grarup, Niels
AU - Hallgrimsdottir, Ingileif
AU - Kiil, Kristoffer
AU - Kilpeläinen, Tuomas O.
AU - Krarup, Nikolaj T.
AU - Pers, Tune H.
AU - Sanchez, Gaston
AU - Hu, Youna
AU - Degiorgio, Michael
AU - Jørgensen, Torben
AU - Sandbæk, Annelli
AU - Lauritzen, Torsten
AU - Brunak, Søren
AU - Kristiansen, Karsten
AU - Li, Yingrui
AU - Hansen, Torben
AU - Wang, Jun
AU - Nielsen, Rasmus
AU - Pedersen, Oluf
N1 - Funding Information:
We thank Melissa Wilson Sayres and Vincent Plagnol for helpful discussions and comments on the manuscript. We also thank A. Forman, T. Lorentzen, B. Andreasen, and G.J. Klavsen for technical assistance and A.L. Nielsen, G. Lademann, and M.M.H. Kristensen for management assistance. K.E.L. was supported by a Miller Research Fellowship from the Miller Research Institute at the University of California, Berkeley. T.S. was supported by the Danish Council for Independent Research. T.H.P. was supported by The Danish Council for Independent Research Medical Sciences. M.D. was supported by National Science Foundation grant DBI-1103639. This project was funded by the Lundbeck Foundation and produced by The Lundbeck Foundation Centre for Applied Medical Genomics in Personalised Disease Prediction, Prevention, and Care ( www.lucamp.org ). The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent Research Center at the University of Copenhagen and is partially funded by an unrestricted donation from the Novo Nordisk Foundation ( http://metabol.ku.dk/ ). Further funding came from the Danish Council for Independent Research Medical Sciences. The Inter99 was initiated by Torben Jørgensen (principal invesitigator [PI]), Knut Borch-Johnsen (co-PI), Hans Ibsen, and Troels F. Thomsen. The steering committee comprises the former two and Charlotta Pisinger. The study was financially supported by research grants from the Danish Research Council, the Danish Centre for Health Technology Assessment, Novo Nordisk, the Research Foundation of Copenhagen County, the Ministry of Internal Affairs and Health, the Danish Heart Foundation, the Danish Pharmaceutical Association, the Augustinus Foundation, the Ib Henriksen Foundation, the Becket Foundation, and the Danish Diabetes Association.
PY - 2013/12/5
Y1 - 2013/12/5
N2 - It has been hypothesized that, in aggregate, rare variants in coding regions of genes explain a substantial fraction of the heritability of common diseases. We sequenced the exomes of 1,000 Danish cases with common forms of type 2 diabetes (including body mass index > 27.5 kg/m2 and hypertension) and 1,000 healthy controls to an average depth of 56×. Our simulations suggest that our study had the statistical power to detect at least one causal gene (a gene containing causal mutations) if the heritability of these common diseases was explained by rare variants in the coding regions of a limited number of genes. We applied a series of gene-based tests to detect such susceptibility genes. However, no gene showed a significant association with disease risk after we corrected for the number of genes analyzed. Thus, we could reject a model for the genetic architecture of type 2 diabetes where rare nonsynonymous variants clustered in a modest number of genes (fewer than 20) are responsible for the majority of disease risk.
AB - It has been hypothesized that, in aggregate, rare variants in coding regions of genes explain a substantial fraction of the heritability of common diseases. We sequenced the exomes of 1,000 Danish cases with common forms of type 2 diabetes (including body mass index > 27.5 kg/m2 and hypertension) and 1,000 healthy controls to an average depth of 56×. Our simulations suggest that our study had the statistical power to detect at least one causal gene (a gene containing causal mutations) if the heritability of these common diseases was explained by rare variants in the coding regions of a limited number of genes. We applied a series of gene-based tests to detect such susceptibility genes. However, no gene showed a significant association with disease risk after we corrected for the number of genes analyzed. Thus, we could reject a model for the genetic architecture of type 2 diabetes where rare nonsynonymous variants clustered in a modest number of genes (fewer than 20) are responsible for the majority of disease risk.
UR - http://www.scopus.com/inward/record.url?scp=84890260477&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890260477&partnerID=8YFLogxK
U2 - 10.1016/j.ajhg.2013.11.005
DO - 10.1016/j.ajhg.2013.11.005
M3 - Article
C2 - 24290377
AN - SCOPUS:84890260477
SN - 0002-9297
VL - 93
SP - 1072
EP - 1086
JO - American Journal of Human Genetics
JF - American Journal of Human Genetics
IS - 6
ER -