Journal article

Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank

Adrian Cortes, Calliope A Dendrou, Allan Motyer, Luke Jostins, Damjan Vukcevic, Alexander Dilthey, Peter Donnelly, Stephen Leslie, Lars Fugger, Gil McVean

Nature Genetics | NATURE PUBLISHING GROUP | Published : 2017

Grants

Awarded by Wellcome Trust


Awarded by Danish National Research Foundation


Awarded by Wellcome Trust/Royal Society


Awarded by Medical Research Council


Awarded by Oak Foundation


Awarded by Australian National Health and Medical Research Council (NHMRC), Career Development Fellowship


Awarded by Victorian Life Sciences Computation Initiative (VLSCI) grant on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian government in Australia


Funding Acknowledgements

This research has been conducted using the UK Biobank Resource (application number 10625). The research has been supported by the Wellcome Trust (095552/Z/11/Z to P.D., 100308/Z/12/Z to L.F., 100956/Z/13/Z to G.M., and 090532/Z/09/Z and 203141/Z/16/Z to the Wellcome Trust Centre for Human Genetics), the Danish National Research Foundation (grant number 126 to L.F.), the Wellcome Trust/Royal Society (204290/Z/16/Z to C.A.D.), Takeda, Ltd. (L.F. and C.A.D.), the Medical Research Council (grant number MC_UU_12010/3 to L.F.), and the Oak Foundation (OCAY-15-520 to L.F.). This work was supported by the Australian National Health and Medical Research Council (NHMRC), Career Development Fellowship 1053756 (S.L.), and by Victorian Life Sciences Computation Initiative (VLSCI) grant VR0240 on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian government in Australia (S.L.). Research at the Murdoch Children's Research Institute was supported by the Victorian government's Operational Infrastructure Support Program.