A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection

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A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection

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Title: A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection
Author: Shylakhter, Ilya; Karlsson, Elinor Kathryn; Byrne, Elizabeth Hockfield; Morales, Shannon; Frieden, Gabriel; Hostetter, Elizabeth; Angelino, Elaine Lee; Garber, Manuel; Zuk, Or; Lander, Eric Steven; Schaffner, Stephen; Sabeti, Pardis Christine; Grossman, Sharon Rachel

Note: Order does not necessarily reflect citation order of authors.

Citation: 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.
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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.
Published Version: doi:10.1126/science.1183863
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:5125257

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  • FAS Scholarly Articles [7220]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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