Inferring biogeographic ancestry with compound markers of slow and fast evolving polymorphisms.

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State: Public
Version: Author's accepted manuscript
Serval ID
serval:BIB_86FB912BC94A
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Inferring biogeographic ancestry with compound markers of slow and fast evolving polymorphisms.
Journal
European journal of human genetics
Author(s)
Moriot A., Santos C., Freire-Aradas A., Phillips C., Hall D.
ISSN
1476-5438 (Electronic)
ISSN-L
1018-4813
Publication state
Published
Issued date
11/2018
Peer-reviewed
Oui
Volume
26
Number
11
Pages
1697-1707
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Bio-geographic ancestry is an area of considerable interest in the medical genetics, anthropology and forensics. Although genome-wide panels are ideal as they provide dense genotyping data, small sets of ancestry informative marker provide a cost-effective way to investigate genetic ancestry and population structure. Here, we investigate the performance of a reduced marker set that combine different types of autosomal markers through haplotype analysis. In particular, recently described DIP-STR markers should offer the advantage of comprising both, low mutation rate Indels (DIPs), to study human history over longer time scale; and high mutation rate STRs, to trace relatively recent demographic events. In this study, we assessed the ability of an initial set of 23 DIP-STRs to distinguish major population groups using the HGDP-CEPH reference samples. The results obtained applying the STRUCTURE algorithm show that the discrimination capacity of the DIP-STRs is comparable to currently used small-scale ancestry informative markers by approaching seven major demographic groups. Yet, the DIP-STRs show an improved success rate in assigning individuals to populations of Europe and Middle East. These data show a remarkable ability of a preliminary set of 23 DIP-STR markers to infer major biogeographic origins. A novel set of DIP-STRs preselected to contain ancestry information should lead to further improvements.
Keywords
Evolution, Molecular, Genetic Markers, Genome, Human, Genotyping Techniques/methods, Genotyping Techniques/standards, Human Migration, Humans, Polymorphism, Genetic
Pubmed
Web of science
Open Access
Yes
Create date
17/07/2018 13:36
Last modification date
20/08/2019 14:46
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