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Population genetic inferences from whole‐genome variation data
Author(s) -
Clark Andrew
Publication year - 2010
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.24.1_supplement.199.1
Subject(s) - demographic history , genome , evolutionary biology , biology , population , natural selection , population genomics , selection (genetic algorithm) , genetic variation , variation (astronomy) , whole genome sequencing , genomics , genetics , computational biology , gene , computer science , demography , artificial intelligence , sociology , physics , astrophysics
Population genetics allows one to make inferences about many aspects of the past history of an organism, including its past demographic history, mutation patterns, migration history, and the role that natural selection has played on genetic variation. When whole‐genome sequence data are available on multiple individuals within a population, it becomes possible to provide scans across the entire genome for features that relate to these past histories, including genomic regions that are aberrant in having particularly recent or remote common ancestry, or regions that have undergone extensive mutational degradation. Probably the most intriguing application of this approach has been to seek out regions of the genome showing a signature of positive or adaptive evolutionary change. Results of such scans from model organisms will be contrasted with human scans, and highlights will be presented.