J. Wade Davis
AbbVie
3 Papers
J. Wade Davis is an academic researcher from AbbVie. The author has contributed to research in topics: Exome & Biobank. The author has an hindex of 3, co-authored 3 publications.
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Papers
Advancing human genetics research and drug discovery through exome sequencing of the UK Biobank.
Joseph D. Szustakowski,Suganthi Balasubramanian,Erika Kvikstad,Shareef Khalid,Paola G. Bronson,Ariella Sasson,Emily Wong,Daren Liu,J. Wade Davis,Carolina Haefliger,A. Katrina Loomis,Rajesh Mikkilineni,Hyun Ji Noh,Samir Wadhawan,Xiaodong Bai,Alicia Hawes,Olga Krasheninina,Ricardo Ulloa,Alex Lopez,E. N. Smith,Jeffrey F. Waring,Christopher D. Whelan,Ellen A. Tsai,John D. Overton,William J. Salerno,Howard J. Jacob,Sándor Szalma,Heiko Runz,Gregory Hinkle,Paul Nioi,Slavé Petrovski,Melissa R. Miller,Aris Baras,Lyndon J. Mitnaul,Jeffrey G. Reid +34 more
TL;DR: The UK Biobank Exome Sequencing Consortium (UKB-ESC) as mentioned in this paper is a private-public partnership between the UK Biopartition and eight biopharmaceutical companies that will complete the sequencing of exomes for all ~500,000 UKB participants.
Advancing Human Genetics Research and Drug Discovery through Exome Sequencing of the UK Biobank
Joseph D. Szustakowski,Suganthi Balasubramanian,Ariella Sasson,Shareef Khalid,Paola G. Bronson,Erika Kvikstad,Emily Wong,Daren Liu,J. Wade Davis,Carolina Haefliger,A. Katrina Loomis,Rajesh Mikkilineni,Hyun Ji Noh,Samir Wadhawan,Xiaodong Bai,Alicia Hawes,Olga Krasheninina,Ricardo Ulloa,Alex Lopez,E. N. Smith,Jeff Waring,Christopher D. Whelan,Ellen A. Tsai,John D. Overton,William J. Salerno,Howard Jacob,Sándor Szalma,Heiko Runz,Greg Hinkle,Paul Nioi,Slavé Petrovski,Melissa R. Miller,Aris Baras,Lyndon J. Mitnaul,Jeffrey G. Reid +34 more
TL;DR: Early results from the exome sequence data generated by the UKB-ESC for the first ~200,000 UKB subjects are described and the rationale for the use of human genetics in drug discovery as well as lessons learned are described.
SAIGEgds—an efficient statistical tool for large-scale PheWAS with mixed models
Xiuwen Zheng,J. Wade Davis +1 more
TL;DR: A new high-performance statistical R package (SAIGEgds) for large-scale PheWAS using generalized linear mixed models, which implements the SAIGE method in optimized C ++ codes, taking advantage of sparse genotype dosages and integrating the efficient genomic data structure (GDS) file format.
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