A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection
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Author
Shylakhter, Ilya
Morales, Shannon
Frieden, Gabriel
Hostetter, Elizabeth
Garber, Manuel
Zuk, Or
Note: Order does not necessarily reflect citation order of authors.
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https://doi.org/10.1126/science.1183863Metadata
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Grossman, Sharon R., Ilya Shylakhter, Elinor K. Karlsson, Elizabeth H. Byrne, Shannon Morales, Gabriel Frieden, Elizabeth Hostetter, et al. 2010. A composite of multiple signals distinguishes causal variants in regions of positive selection. Science 327(5967): 883-886.Abstract
The human genome contains hundreds of regions whose patterns of genetic variation indicate recent positive natural selection, yet for most the underlying gene and the advantageous mutation remain unknown. We developed a method, composite of multiple signals (CMS), that combines tests for multiple signals of selection and increases resolution by up to 100-fold. By applying CMS to candidate regions from the International Haplotype Map, we localized population-specific selective signals to 55 kilobases (median), identifying known and novel causal variants. CMS can not just identify individual loci but implicates precise variants selected by evolution.Terms of Use
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http://nrs.harvard.edu/urn-3:HUL.InstRepos:5125257
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