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

Yaghootkar, H; Bancks, MP; Jones, SE; McDaid, A; Beaumont, R; Donnelly, L; Wood, AR; Campbell, A; Tyrrell, J; Hocking, LJ; Tuke, MA; Ruth, KS; Pearson, ER; Murray, A; Freathy, RM; Munroe, PB; Hayward, C; Palmer, C; Weedon, MN; Pankow, JS; Frayling, TM; Kutalik, Z

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Embargoed until: 2100-01-01
Reason: Submitted version

Volume

Pagination

1018 - 1030

DOI

10.1093/hmg/ddw433

Journal

HUMAN MOLECULAR GENETICS

Issue

ISSN

0964-6906

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Authors

Yaghootkar, H; Bancks, MP; Jones, SE; McDaid, A; Beaumont, R; Donnelly, L; Wood, AR; Campbell, A; Tyrrell, J; Hocking, LJ

URI

http://qmro.qmul.ac.uk/xmlui/handle/123456789/19060

Collections

Clinical Pharmacology [217]

Licence information

This is a pre-copyedited, author-produced version of an article accepted for publication in Human Molecular Genetics following peer review. The version of record Hanieh Yaghootkar, et. al.; Quantifying the extent to which index event biases influence large genetic association studies. Hum Mol Genet 2016 ddw433. doi: 10.1093/hmg/ddw433 is available online at: https://doi.org/10.1093/hmg/ddw433 on the OUP website.