Literature DB >> 23612573

Determination of population origin: a comparison of autosomal SNPs, Y-chromosomal and mtDNA haplogroups using a Malagasy population as example.

Micaela Poetsch1, Aline Wiegand, Melanie Harder, Rowena Blöhm, Noel Rakotomavo, Sandra Freitag-Wolf, Nicole von Wurmb-Schwark.   

Abstract

Y-chromosomal and mitochondrial DNA (mtDNA) polymorphisms have been used for population studies for a long time. However, there is another possibility to define the origin of a population: autosomal single-nucleotide polymorphisms (SNPs) whose allele frequencies differ considerably in different populations. In an attempt to compare the usefulness of these approaches we studied a population from Madagascar using all the three mentioned approaches. Former investigations of Malagasy maternal (mtDNA) and paternal (Y chromosome) lineages have led to the assumption that the Malagasy are an admixed population with an African and Asian-Indonesian heritage. Our additional study demonstrated that more than two-third of the Malagasy investigated showed clearly a West African genotype regarding only the autosomal SNPs despite the fact that 64% had an Asian mtDNA and more than 70% demonstrated an Asian-Indonesian heritage in either mtDNA or Y-chromosomal haplogroup or both. Nonetheless, the admixture of the Malagasy could be confirmed. A clear African or Asian-Indonesian heritage according to all the three DNA approaches investigated was only found in 14% and 1% of male samples, respectively. Not even the European or Northern African influences, detected in 9% of males (Y-chromosomal analysis) and 11% of samples (autosomal SNPs) were consistent. No Malagasy in our samples showed a European or Northern African origin in both categories. So, the analysis of autosomal SNPs could confirm the admixed character of the Malagasy population, even if it pointed to a greater African influence as detectable by Y-chromosomal or mtDNA analysis.

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Year:  2013        PMID: 23612573      PMCID: PMC3831070          DOI: 10.1038/ejhg.2013.51

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  29 in total

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