James Liley
University of Cambridge
19 Papers
31 Citations
James Liley is an academic researcher from University of Cambridge. The author has contributed to research in topics: False discovery rate & Computer science. The author has an hindex of 5, co-authored 13 publications. Previous affiliations of James Liley include Medical Research Council & Papworth Hospital.
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Papers
Genome-wide association study of eosinophilic granulomatosis with polyangiitis reveals genomic loci stratified by ANCA status.
Paul A. Lyons,James E. Peters,Federico Alberici,Federico Alberici,James Liley,James Liley,Richard M.R. Coulson,William J. Astle,William J. Astle,William J. Astle,Chiara Baldini,Francesco Bonatti,Maria C. Cid,Heather Elding,Heather Elding,Giacomo Emmi,Jörg T. Epplen,Loïc Guillevin,David Jayne,Tao Jiang,Iva Gunnarsson,Peter Lamprecht,Stephen Leslie,Mark A. Little,Davide Martorana,Frank Moosig,Thomas Neumann,Sophie Ohlsson,Stefanie Quickert,Giuseppe A. Ramirez,Barbara Rewerska,Georg Schett,Renato Alberto Sinico,Wojciech Szczeklik,Vladimir Tesar,Damjan Vukcevic,Benjamin Terrier,Richard A. Watts,Richard A. Watts,Augusto Vaglio,Julia U Holle,Chris Wallace,Chris Wallace,Kenneth G. C. Smith +43 more
TL;DR: A genome-wide association study of EGPA is described that reveals clinical and genetic differences between subgroups stratified by autoantibody status (ANCA), and four candidate genes are targets of therapies in development, supporting their exploration in EGPA.
A Pleiotropy-Informed Bayesian False Discovery Rate Adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary Statistics
James Liley,Chris Wallace +1 more
TL;DR: The technique is extended and strengthens the previous algorithm, and establishes robust limits on the expected FDR, which can improve SNP detection in GWAS, and give insight into shared aetiology between phenotypically related conditions.
A method for identifying genetic heterogeneity within phenotypically defined disease subgroups
TL;DR: This work investigates subgroups of individuals with type 1 diabetes defined by autoantibody positivity, establishing evidence for differential genetic architecture with positivity for thyroid-peroxidase-specific antibody, driven generally by variants in known T1D-associated genomic regions.
Accurate error control in high-dimensional association testing using conditional false discovery rates.
James Liley,Chris Wallace +1 more
TL;DR: This article proposed a new method for type-1 error rate control based on identifying mappings from the unit square to the unit interval defined by the estimated conditional false discovery rate and splitting observations so that each map is independent of the observations it is used to test.
A Pleiotropy-Informed Bayesian False Discovery Rate adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary Statistics
James Liley,Chris Wallace +1 more
TL;DR: The technique extends and strengthens the previous algorithm, and establishes robust limits on the expected FDR, and can improve SNP detection in GWAS by re-analysing existing data, and give insight into the shared genetic bases of autoimmune diseases.