z-logo
open-access-imgOpen Access
Autocorrelation of Gene Frequencies Under Isolation by Distance
Author(s) -
Guido Barbujani
Publication year - 1987
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1093/genetics/117.4.777
Subject(s) - autocorrelation , allele frequency , genetic distance , biology , geographical distance , isolation by distance , kinship , statistics , spatial analysis , similarity (geometry) , genetics , evolutionary biology , mathematics , genetic variation , gene flow , gene , allele , population , demography , artificial intelligence , sociology , political science , computer science , law , image (mathematics)
Spatial autocorrelation statistics are used for description of geographic variation of gene frequencies, but the relationship of these indices with the parameters describing the genetic structure of populations is not established. A simple relation is derived here between kinship coefficient and a measure of spatial autocorrelation, Moran's I. The autocorrelation coefficient of gene frequencies at a given distance is a direct function of the kinship at that distance, and an inverse function of the standardized gene frequency variance, Fst. Under isolation by distance, the expected values of Moran's I for any allele may be calculated by means of Malécot-Morton function, which predicts an exponential decline of genetic similarity in space. This allows comparison of observed gene frequency patterns with the patterns that should be caused by interaction of short range migration and random genetic drift.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom