AWorldwide Analysis of AG Molecular Diversity Inferred from Serology

Document Type

Article

Authors

A. Sanchez-Mazas, Laboratory of Genetics and Biometry (LGB), Department of Anthropology and Ecology, University of Geneva, Switzerland, and URA 49 CNRS, Musée de l’Homme, Paris, France.
E. Bütler-Brunner, Central Laboratory of Blood Transfusion Service, Red Cross Foundation, Bern, Switzerland.
R. Bütler, Central Laboratory of Blood Transfusion Service, Red Cross Foundation, Bern, Switzerland.
R. Caldéron, Department of Animal Biology and Genetics, University of País Vasco, Bilbao, Spain.
A. Chaventré, Laboratory of Anthropology and Genetic Demography, University of Bordeaux II, France.
J.-M. Dugoujon, Centre d’Anthropologie, UMR 8555 CNRS, Toulouse, France.
M. Hammond, Natal Blood Transfusion Service, Natal Institute of Immunology, Durban, South Africa.
G. LeFranc, Laboratory of Molecular Immunogenetics, University of Montpellier II, France.
H. Matsumoto, Osaka Medical College, Osaka, Japan.
L. Osipova, Laboratory of Molecular Evolution, Institute of Cytology and Genetics, Novosibirsk, Russia.
C. Politis, Third Regional Blood Transfusion Center, Regional General Athens Hospital “George Gennimatas,” Greece.
R. Pullmann, Department of Clinical Biochemistry, Martin Faculty Hospital, Slovak Republic.
A. Langaney, Laboratory of Genetics and Biometry (LGB), Department of Anthropology and Ecology, University of Geneva, Switzerland, and URA 49 CNRS, Musée de l’Homme, Paris, France.

Abstract

Ten population samples from different geographic origins were tested serologically for the AG polymorphism of human b-lipoproteins. Their haplotype frequencies were used with previously published data to perform a wide analysis of AG genetic differentiations throughout the world. Coancestry coefficients were computed from weighted FSTs among populations by using a matrix of molecular distances among AG haplotypes, which is here determined on the basis of DNA studies. Coancestry coefficients derived from unweighted FSTs and more classical Prevosti distances were computed on the same data and used for a comparison. In all cases a highly significant correlation was found between genetics and geography on a worldwide scale, while the significance of the correlation with linguistics differed. A test of significance of the pairwise FSTs among populations also gave different results depending on whether the molecular distance matrix among AG haplotypes was included. Globally, this study shows that in spite of being highly significantly correlated to each other, different genetic distance measures can lead to different interpretations of the same data set. Moreover, the elucidation of the molecular models related to the presently known serological polymorphisms may represent an additional tool for analyzing such polymorphisms in human population genetics studies.

Recommended Citation

Sanchez-Mazas, A.; Bütler-Brunner, E.; Bütler, R.; Caldéron, R.; Chaventré, A.; Dugoujon, J.-M.; Hammond, M.; LeFranc, G.; Matsumoto, H.; Osipova, L.; Politis, C.; Pullmann, R.; and Langaney, A. (2001) "AWorldwide Analysis of AG Molecular Diversity Inferred from Serology," Human Biology: Vol. 73: Iss. 5, Article 2.
Available at: https://digitalcommons.wayne.edu/humbiol/vol73/iss5/2