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PMID: 3770468 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

The genetic structure of a tribal population, the Yanomama Indians. XV. Patterns inferred by autocorrelation analysis.

Genetics ·Vol. 114 ·No. 1 ·1986-09-00 ·Pages 259-87

Sokal RR, Smouse PE, Neel JV

Abstract

Fifteen allele frequencies have previously been determined for 50 villages of the Yanomama, an Amerindian tribe from southern Venezuela and northern Brazil. These frequencies were subjected to spatial autocorrelation analysis to investigate their population structure. There are significant spatial patterns for most allele frequencies. Clinical patterns, investigated by one-dimensional and directional spatial correlograms, were relatively few in number and were moderate in strength. Overall, however, there is a marked decline in genetic similarity with geographic distance. The results are compatible with a hierarchic population structure superimposed on the geography, and generated by a stochastic fission-fusion model of village propagation, followed by localized gene flow. Strong temporal autocorrelations of allele frequencies based on linguistic-historical distances representing time since divergence were also found. There appears to be a stronger relation between geography and linguistic-historical hierarchic subdivisions than between either feature and genetic distances. These findings confirm by different approaches the results of earlier analyses concerning the important roles of both stochastic and social factors in determining village allele frequencies and the occurrence within this tribe of some allele frequency clines most likely due to the operation of chance historical processes.

MeSH Terms
Alleles Biometry Brazil Demography Ethnicity Gene Frequency Genetics, Population Humans Indians, South American Language Models, Genetic Venezuela
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Sokal R R
Smouse P E
Neel J V
References (14)
14 references, click to expand
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
Published
1986-09-00
Pages
259-87
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC1202935
Subset
IM
Grants
NIGMS NIH HHS · GM 28262-02 · United States
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