|Publication Type||Journal Article|
|Year of Publication||2010|
|Authors||Grossman, SR, Shlyakhter, I, Shylakhter, I, Karlsson, EK, Byrne, EH, Morales, S, Frieden, G, Hostetter, E, Angelino, E, Garber, M, Zuk, O, Lander, ES, Schaffner, SF, Sabeti, PC|
|Date Published||2010 Feb 12|
|Keywords||Computational Biology, DNA, Intergenic, Evolution, Molecular, Genetic Loci, Genetic Variation, Genome, Human, Haplotypes, Humans, Polymorphism, Genetic, Population Groups, Regulatory Sequences, Nucleic Acid, Selection, Genetic, Software|
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.