Detecting natural selection in genomic data.

By Joseph J. Vitti, S. Grossman, Pardis C Sabeti. Annual Review of Genetics, 2013

629 citations recorded by the source corpus.

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.

Subfields: Strategy and Management

View Paper: https://www.semanticscholar.org/paper/79c979d3436b5714875051b49f6a7955367f4dfe

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Citations in the corpus

Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions (2016, neutral): “…methods (Rellstab et al. 2015), genomic resource development (Stapley et al. 2010; Ellegren 2014; Bragg et al. 2015; Manel et al. 2016), signatures of selection (Vitti et al. 2013), and mapping variation underlying adaptive phenotypes (Bergelson and Roux 2010; Barrett and Hoekstra 2011).”
A framework for incorporating evolutionary genomics into biodiversity conservation and management (2015, neutral): “[144-149].”
An expanded view of complex traits: from polygenic to omnigenic (2017, background): “Within the evolutionary community, there has been great interest in identifying particular genetic variants that are responsible for adaptive changes, both within and between species (Vitti et al., 2013).”