Population genetic inference from genomic sequence variation

John E. Pool, Ines Hellmann, Jeffrey D. Jensen, Rasmus Nielsen

Research output: Contribution to journalReview articlepeer-review

153 Scopus citations

Abstract

Population genetics has evolved from a theory-driven field with little empirical data into a data-driven discipline in which genome-scale data sets test the limits of available models and computational analysis methods. In humans and a few model organisms, analyses of whole-genome sequence polymorphism data are currently under way. And in light of the falling costs of next-generation sequencing technologies, such studies will soon become common in many other organisms as well. Here, we assess the challenges to analyzing whole-genome sequence polymorphism data, and we discuss the potential of these data to yield new insights concerning population history and the genomic prevalence of natural selection.

Original languageEnglish (US)
Pages (from-to)291-300
Number of pages10
JournalGenome research
Volume20
Issue number3
DOIs
StatePublished - Mar 2010

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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