Wangkumhang, P;
Hellenthal, GR;
(2018)
Statistical methods for detecting admixture.
Current Opinion in Genetics and Development
, 53
pp. 121-127.
10.1016/j.gde.2018.08.002.
Preview |
Text
AdmixtureMethodsCurrentOpinionReviewRevised.pdf - Accepted Version Download (206kB) | Preview |
Abstract
The increasing availability of large-scale autosomal genetic variation data sampled from world-wide geographic areas, coupled with advances in the statistical methodology to analyse these data, is showcasing the power of DNA as a major tool to gain insights into the demographic history of humans and other organisms. Here we review statistical techniques that shed light on a specific aspect of demography: the detection and description of admixture events where two or more genetically distinct groups intermixed at one or more times in the past. In particular we give an overview of some of the widely used methods to identify and describe admixture events using autosomal DNA from unrelated individuals, with a particular focus on analysing biallelic Single-Nucleotide-Polymorphsim (SNP) markers.
Type: | Article |
---|---|
Title: | Statistical methods for detecting admixture |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.gde.2018.08.002 |
Publisher version: | https://doi.org/10.1016/j.gde.2018.08.002 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment |
URI: | https://discovery.ucl.ac.uk/id/eprint/10054518 |
Archive Staff Only
View Item |