Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology.
| Citation | . “Analysis Commons, A Team Approach To Discovery In A Big-Data Environment For Genetic Epidemiology.”. Nature Genetics, pp. 1560-1563. |
| Center | UCSD-UCLA |
| Author | 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 Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology 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, Adrienne Cupples |
| Year of Publication |
2017
|
| Journal |
Nature genetics
|
| Volume |
49
|
| Issue |
11
|
| Number of Pages |
1560-1563
|
| Date Published |
12/2017
|
| ISSN Number |
1546-1718
|
| DOI |
10.1038/ng.3968
|
| Alternate Journal |
Nat. Genet.
|
| PMID |
29074945
|
| PMCID |
PMC5720686
|
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