Universität zu Köln

Bulbul, O., Filoglu, G., Zorlu, T., Altuncul, H., Freire-Aradas, A., Soechtig, J., Ruiz, Y., Klintschar, M., Triki-Fendri, S., Rebai, A., Phillips, C., Lareu, M. V., Carracedo, A. and Schneider, P. M. (2016). Inference of biogeographical ancestry across central regions of Eurasia. Int. J. Legal Med., 130 (1). S. 73 - 80. NEW YORK: SPRINGER. ISSN 1437-1596

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Abstract

The inference of biogeographical ancestry (BGA) can provide useful information for forensic investigators when there are no suspects to be compared with DNA collected at the crime scene or when no DNA database matches exist. Although public databases are increasing in size and population scope, there is a lack of information regarding genetic variation in Eurasian populations, especially in central regions such as the Middle East. Inhabitants of these regions show a high degree of genetic admixture, characterized by an allele frequency cline running from NW Europe to East Asia. Although a proper differentiation has been established between the cline extremes of western Europe and South Asia, populations geographically located in between, i.e, Middle East and Mediterranean populations, require more detailed study in order to characterize their genetic background as well as to further understand their demographic histories. To initiate these studies, three ancestry informative SNP (AI-SNP) multiplex panels: the SNPforID 34-plex, Eurasiaplex and a novel 33-plex assay were used to describe the ancestry patterns of a total of 24 populations ranging across the longitudinal axis from NW Europe to East Asia. Different ancestry inference approaches, including STRUCTURE, PCA, DAPC and Snipper Bayes analysis, were applied to determine relationships among populations. The structure results show differentiation between continental groups and a NW to SE allele frequency cline running across Eurasian populations. This study adds useful population data that could be used as reference genotypes for future ancestry investigations in forensic cases. The 33-plex assay also includes pigmentation predictive SNPs, but this study primarily focused on Eurasian population differentiation using 33-plex and its combination with the other two AI-SNP sets.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Bulbul, O. UNSPECIFIED UNSPECIFIED UNSPECIFIED Filoglu, G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Zorlu, T. UNSPECIFIED UNSPECIFIED UNSPECIFIED Altuncul, H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Freire-Aradas, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Soechtig, J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Ruiz, Y. UNSPECIFIED UNSPECIFIED UNSPECIFIED Klintschar, M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Triki-Fendri, S. UNSPECIFIED UNSPECIFIED UNSPECIFIED Rebai, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Phillips, C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Lareu, M. V. UNSPECIFIED UNSPECIFIED UNSPECIFIED Carracedo, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schneider, P. M. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-292792
DOI:	10.1007/s00414-015-1246-7
Journal or Publication Title:	Int. J. Legal Med.
Volume:	130
Number:	1
Page Range:	S. 73 - 80
Date:	2016
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1437-1596
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language POPULATION-STRUCTURE; ASSAY; GENETICS; PROGRAM; PACKAGE; MARKERS; PANEL; SNPS Multiple languages Medicine, Legal Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/29279