Mining data from 1000 genomes to identify the causal variant in regions under positive selection

Mining data from 1000 genomes to identify the causal variant in regions under positive selection

The human genome contains hundreds of regions in which the patterns of genetic variation indicate recent positive natural selection, yet for most of these the underlying gene and the advantageous mutation remain unknown. We recently reported the development of a method, Composite of Multiple Signals...

Full description

Bibliographic Details
Main Authors: Grossman, Sharon Rachel (Contributor), Karlsson, Elinor K. (Contributor), Tabrizi, Shervin (Contributor), Andersen, Kristian G. (Author), Rinn, John L. (Contributor), Lander, Eric S. (Contributor), Schaffner, Steve (Contributor), Sabeti, Pardis C. (Contributor), 1000 Genomes Project Consortium (Author), Shlyakhter, Ilya 1975- (Author)
Other Authors: Whitaker College of Health Sciences and Technology (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Shlyakhter, Ilya (Contributor), Andersen, Kristian (Contributor)
Format: Article
Language:English
Published: BioMed Central Ltd., 2012-04-05T18:33:17Z.
Subjects:
Article
Online Access:Get fulltext

Internet

Get fulltext

Similar Items