Journal article

Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel

Jie Huang, Bryan Howie, Shane McCarthy, Yasin Memari, Klaudia Walter, Josine L Min, Petr Danecek, Giovanni Malerba, Elisabetta Trabetti, Hou-Feng Zheng, Giovanni Gambaro, J Brent Richards, Richard Durbin, Nicholas J Timpson, Jonathan Marchini, Nicole Soranzo

Nature Communications | NATURE PUBLISHING GROUP | Published : 2015

University of Melbourne Researchers

Grants

Awarded by Wellcome Trust


Awarded by European Commission


Awarded by ERC


Awarded by UK Medical Research Council (MRC)


Awarded by British Heart Foundation


Awarded by Economic and Social Research Council


Awarded by Medical Research Council


Awarded by National Institute for Health Research


Funding Acknowledgements

This study makes use of data generated by the UK10K Consortium. The Wellcome Trust provided funding for UK10K (award WT091310). N.S. is supported by the Wellcome Trust (Grant Codes WT098051 and WT091310), the European Commission (EUFP7 EPIGENESYS Grant Code 257082 and BLUEPRINT Grant Code HEALTH-F5-2011-282510) and the NIHR. J.B.R. is funded by the CIHR, CQDM, FRSQ and the Jewish General Hospital. H.-F.Z. is supported by Canadian Institutes of Health Research. J.M. acknowledges support from the ERC (Grant no. 617306). NJT works in a unit supported by the UK Medical Research Council (MRC) (MC_UU_12013/3). For ALSPAC, we are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses. For further details concerning the generation of UK10K sequence data, please see extended methods in reference 6. Key contributing studies from the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium appear in the lipids meta-analysis group, but we also acknowledge the support and contribution of the resource more generally. A full description of the collection and its component studies can be found here: DOI: 10.1371/journal.pone.0071345.