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Quantifying the extent to which index event biases influence large genetic association studies

Authors :
Louise A. Donnelly
Zoltán Kutalik
Ewan R. Pearson
Marcus A. Tuke
Timothy M. Frayling
Aaron McDaid
Samuel E. Jones
Patricia B. Munroe
Andrew R. Wood
Lynne J. Hocking
Archie Campbell
Michael P. Bancks
Jessica Tyrrell
Anna Murray
Michael N. Weedon
Robin N Beaumont
Rachel M. Freathy
Caroline Hayward
Katherine S. Ruth
James S. Pankow
Hanieh Yaghootkar
Colin N. A. Palmer
Source :
Human molecular genetics, vol. 26, no. 5, pp. 1018-1030, Yaghootkar, H, Bancks, M P, Jones, S E, McDaid, A, Beaumont, R, Donnelly, L, Wood, A R, Campbell, A, Tyrrell, J, Hocking, L J, Tuke, M A, Ruth, K S, Pearson, E R, Murray, A, Freathy, R M, Munroe, P B, Hayward, C, Palmer, C, Weedon, M N, Pankow, J S, Frayling, T M & Kutalik, Z 2017, ' Quantifying the extent to which index event biases influence large genetic association studies ', Human Molecular Genetics, vol. 26, no. 5 . https://doi.org/10.1093/hmg/ddw433
Publication Year :
2016
Publisher :
Cold Spring Harbor Laboratory, 2016.

Abstract

The Wellcome Trust provides support for Wellcome Trust United Kingdom Type 2 Diabetes Case Control Collection (GoDARTS) and informatics support is provided by the Chief Scientist Office. The Atherosclerosis Risk in Communities Study (ARIC) is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C), R01HL087641, R01HL59367 and R01HL086694; National Human Genome Research Institute contract U01HG004402; and National Institutes of Health contract HHSN268200625226C. The authors thank the staff and participants of the ARIC study for their important contributions. Infrastructure was partly supported by Grant Number UL1RR025005, a component of the National Institutes of Health and NIH Roadmap for Medical Research. H.Y., A.R.W. and T.M.F. are supported by the European Research Council grant: 323195; SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC. S.E.J. is funded by the Medical Research Council (grant: MR/M005070/1). M.A.T., M.N.W. and A.M. are supported by the Wellcome Trust Institutional Strategic Support Award (WT097835MF). R.M.F. is a Sir Henry Dale Fellow (Wellcome Trust and Royal Society grant: 104150/Z/14/Z). R.B. is funded by the Wellcome Trust and Royal Society grant: 104150/Z/14/Z. J.T. is funded by a Diabetes Research and Wellness Foundation Fellowship. Z.K. received financial support from the Leenaards Foundation, the Swiss Institute of Bioinformatics and the Swiss National Science Foundation (31003A-143914) and SystemsX.ch ((40)). The work of M.P.B was supported by the National Heart, Lung, And Blood Institute of the National Institutes of Health under Award Number T32HL007779. Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6] and the Scottish Funding Council [HR03006]. E.R.P. holds a WT New investigator award 102820/Z/13/Z.

Details

Language :
English
ISSN :
26820110
Database :
OpenAIRE
Journal :
Human molecular genetics, vol. 26, no. 5, pp. 1018-1030, Yaghootkar, H, Bancks, M P, Jones, S E, McDaid, A, Beaumont, R, Donnelly, L, Wood, A R, Campbell, A, Tyrrell, J, Hocking, L J, Tuke, M A, Ruth, K S, Pearson, E R, Murray, A, Freathy, R M, Munroe, P B, Hayward, C, Palmer, C, Weedon, M N, Pankow, J S, Frayling, T M & Kutalik, Z 2017, ' Quantifying the extent to which index event biases influence large genetic association studies ', Human Molecular Genetics, vol. 26, no. 5 . https://doi.org/10.1093/hmg/ddw433
Accession number :
edsair.doi.dedup.....8122a5a41d4f4076fae50c81a1f353e3
Full Text :
https://doi.org/10.1101/074781