Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology | Nature Genetics
https://www.nature.com/articles/ng.3968
Commentary | Published: 27 October 2017
Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology
Jennifer A Brody, Alanna C Morrison, Joshua C Bis, Jeffrey R O’Connell, Michael R Brown, Jennifer E Huffman, Darren C Ames, Andrew Carroll, Matthew P Conomos, Stacey Gabriel, Richard A Gibbs, Stephanie M Gogarten, Namrata Gupta, Cashell E Jaquish, Andrew D Johnson, Joshua P Lewis, Xiaoming Liu, Alisa K Manning, George J Papanicolaou, Achilleas N Pitsillides, Kenneth M Rice, William Salerno, Colleen M Sitlani, Nicholas L Smith, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, TOPMed Hematology and Hemostasis Working Group, CHARGE Analysis and Bioinformatics Working Group, Susan R Heckbert, Cathy C Laurie, Braxton D Mitchell, Ramachandran S Vasan, Stephen S Rich, Jerome I Rotter, James G Wilson, Eric Boerwinkle, Bruce M Psaty & L Adrienne Cupples- Show fewer authors
Nature Genetics volume 49, pages1560–1563 (2017)