1932

Abstract

The past fifty years have seen the development and application of numerous statistical methods to identify genomic regions that appear to be shaped by natural selection. These methods have been used to investigate the macro- and microevolution of a broad range of organisms, including humans. Here, we provide a comprehensive outline of these methods, explaining their conceptual motivations and statistical interpretations. We highlight areas of recent and future development in evolutionary genomics methods and discuss ongoing challenges for researchers employing such tests. In particular, we emphasize the importance of functional follow-up studies to characterize putative selected alleles and the use of selection scans as hypothesis-generating tools for investigating evolutionary histories.

[Erratum, Closure]

An erratum has been published for this article:
Detecting Natural Selection in Genomic Data
Loading

Article metrics loading...

/content/journals/10.1146/annurev-genet-111212-133526
2013-11-23
2024-06-14
Loading full text...

Full text loading...

/content/journals/10.1146/annurev-genet-111212-133526
Loading
/content/journals/10.1146/annurev-genet-111212-133526
Loading

Data & Media loading...

  • Article Type: Review Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error