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Population genetics of 14 ethnic groups using phenotypic data from VNTR loci

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Part of the book series: Progress in Systems and Control Theory ((EXS))

Summary

Population genetic studies were performed using five VNTR loci (D2S44, D4S163, D14S13, D17S79, D18S27). The populations examined were Caucasian (Australia, Brazil and U.S.A.), Australian aborigine, Chinese, Amerindian (Cheyenne, Maya, Navajo, Pima, Tobas/Wicnis), North American Black, North American Hispanic (California, Miami, New York, Texas). The overall size range of the alleles for these loci, in Pstl-digested DNA, was the same in all populations. The major difference among populations was the relative frequency of particular groups of alleles. These differences were small among similar ethnic groups, while sometimes varying several fold among some of the more distinct populations. However, groups of alleles that were rare in the major ethnic groups (Caucasian, Black, Chinese) were also rare in the other populations.

The frequency databases generated by typing individuals for 4 loci were used to compare the random DNA profile frequencies among populations. The results show that the estimated frequency of any 4 locus profile is very low in all populations examined (e.g. median value < 10-8 ). Analysis of relative genetic similarity among populations was used to create the most likely clustering of these ethnic groups. Results show an uncanny similarity between the clusters generated and genetic distance measurements obtained with traditional calculations of conventional genetic markers.

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© 1993 Springer Basel AG

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Balazs, I. (1993). Population genetics of 14 ethnic groups using phenotypic data from VNTR loci. In: Pena, S.D.J., Chakraborty, R., Epplen, J.T., Jeffreys, A.J. (eds) DNA Fingerprinting: State of the Science. Progress in Systems and Control Theory. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8583-6_16

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  • DOI: https://doi.org/10.1007/978-3-0348-8583-6_16

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-7643-2906-8

  • Online ISBN: 978-3-0348-8583-6

  • eBook Packages: Springer Book Archive

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