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Y-chromosome specific YCAII, DYS19 and YAP polymorphisms in human populations: a comparative study

Published online by Cambridge University Press:  01 March 1999

L. QUINTANA-MURCI
Affiliation:
Dipartimento di Genetica e Microbiologia, Università di Pavia, Italy
O. SEMINO
Affiliation:
Dipartimento di Genetica e Microbiologia, Università di Pavia, Italy
E. S. POLONI
Affiliation:
Département d'Anthropologie et Ecologie, Université de Genève, Switzerland
A. LIU
Affiliation:
Dipartimento di Genetica e Microbiologia, Università di Pavia, Italy
M. VAN GIJN
Affiliation:
Dipartimento di Genetica e Microbiologia, Università di Pavia, Italy
G. PASSARINO
Affiliation:
Dipartimento di Genetica e Microbiologia, Università di Pavia, Italy Dipartimento di Biologia Cellulare, Università della Calabria, Rende, Italy
A. BREGA
Affiliation:
Dipartimento di Biologia e Genetica per le Scienze Mediche, Università di Milano, Milano, Italy
I. S. NASIDZE
Affiliation:
Department of Nucleic Acids, Georgian Academy of Sciences, Tbilisi, Republic of Georgia
L. MACCIONI
Affiliation:
Istituto di Clinica e Biologia dell'Età Evolutiva, Università di Cagliari, Italy
G. COSSU
Affiliation:
Centro Trasfusionale Ozieri, Ospedale ‘A. Segni’, Sassari, Italy
N. AL-ZAHERY
Affiliation:
Dipartimento di Genetica e Microbiologia, Università di Pavia, Italy Department of Biotechnology, College of Science, University of Baghdad, Iraq
J. R. KIDD
Affiliation:
Department of Genetics, Yale University School of Medicine, USA
K. K. KIDD
Affiliation:
Department of Genetics, Yale University School of Medicine, USA
A. S. SANTACHIARA-BENERECETTI
Affiliation:
Dipartimento di Genetica e Microbiologia, Università di Pavia, Italy
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Abstract

Two hypervariable Y-specific markers, the YCAII and DYS19 STRs, and the more stable Y Alu Polymorphism (YAP) have been analysed in about 1400 individuals of 21 different populations, mainly from Europe but also from the Middle East, Africa and Asia. On the basis of the frequency distributions of these three Y-markers we compare, using different statistical analyses, their power in detecting population genetic structure and in distinguishing closely related groups. The pattern of populations' genetic affinities inferred from the three markers considered altogether suggests a strong genetic structure that, with a few exceptions, broadly corresponds to the linguistic relatedness and/or geographic location of the sampled populations.

Type
Research Article
Copyright
© University College London 1999

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