A Worldwide Analysis of AG Molecular Diversity Inferred from Serology

Ten population samples from different geographic origins were tested serologically for the AG polymorphism of human ß-lipoproteins. Their haplotype frequencies were used with previously published data to perform a wide analysis of AG genetic differentiations throughout the world. Coancestry coeffici...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Human biology 2001-10, Vol.73 (5), p.637-659
Hauptverfasser: SANCHEZ-MAZAS, A., BÜTLER-BRUNNER, E., BÜTLER, R., CALDERÓN, R., CHAVENTRÉ, A., DUGOUJON, J.-M., HAMMOND, M., LEFRANC, G., MATSUMOTO, H., OSIPOVA, L., POLITIS, C., PULLMANN, R., LANGANEY, A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Ten population samples from different geographic origins were tested serologically for the AG polymorphism of human ß-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 F ST 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 F STS 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 F STs 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.
ISSN:0018-7143
1534-6617
1534-6617
DOI:10.1353/hub.2001.0074