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Statistical Modelling in Biostatistics and Bioinformatics pp 187–211Cite as

Statistical Methods for Detecting Selective Sweeps

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Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

The emigration of humankind from Africa and the adoption of agriculture have meant that the selective pressures on humankind have changed in recent evolutionary times. A selective sweep occurs when a positive mutation spreads through a population. For example, a mutation that enables adults to digest lactase has spread through the Northern European population, although it is very rare in the African population. Since neutral alleles that are strongly linked to such a positive mutation also tend to spread through the population, these sweeps leave a signature, a valley of low genetic variation.This article reviews the development of statistical tests for the detection of selective sweeps using genomic data, particularly in the light of recent advances in genome mapping. It also points out directions for future research.

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Acknowledgements

This work was carried out in the Department of Mathematics & Statistics at the University of Limerick, Ireland, and was supported by Science Foundation Ireland, Grant No. 07/MI/012 (BIO-SI project, www3.ul.ie/bio-si).

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Authors and Affiliations

  1. Department of Computer Science and Management, Wrocaw University of Technology, Wrocaw, Poland

    David Ramsey

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  1. David Ramsey
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Correspondence to David Ramsey .

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Editors and Affiliations

  1. Centre of Biostatistics, University of Limerick, Limerick, Ireland

    Gilbert MacKenzie

  2. Centre of Biostatistics, University of Limerick, Limerick, Ireland

    Defen Peng

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Ramsey, D. (2014). Statistical Methods for Detecting Selective Sweeps. In: MacKenzie, G., Peng, D. (eds) Statistical Modelling in Biostatistics and Bioinformatics. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-04579-5_13

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