A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection
作者： S. R. Grossman , I. Shylakhter , E. K. Karlsson , E. H. Byrne , S. Morales
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摘要: The human genome contains hundreds of regions whose patterns genetic variation indicate recent positive natural selection, yet for most the underlying gene and advantageous mutation remain unknown. We developed a method, composite multiple signals (CMS), that combines tests selection increases resolution by up to 100-fold. By applying CMS candidate from International Haplotype Map, we localized population-specific selective 55 kilobases (median), identifying known novel causal variants. can not just identify individual loci but implicates precise variants selected evolution.
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