Mining data from 1000 genomes to identify the causal variant in regions under positive selection
Author(s)Grossman, Sharon Rachel; Shlyakhter, Ilya; Karlsson, Elinor K.; Tabrizi, Shervin; Andersen, Kristian G.; Rinn, John L.; Lander, Eric S.; Schaffner, Steve; Sabeti, Pardis C.; 1000 Genomes Project Consortium; ... Show more Show less
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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 (CMS), that combines tests for multiple signals of natural selection and increases resolution by up to 100-fold.
DepartmentWhitaker College of Health Sciences and Technology; Massachusetts Institute of Technology. Department of Biology
BioMed Central Ltd.
Grossman, Shari et al. "Mining data from 1000 genomes to identify the causal variant in regions under positive selection." Genome Biology 2010, 11(Suppl 1):I22 (11 October 2010).
Final published version