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ESTIMATING RELATEDNESS USING GENETIC MARKERS
Author(s) -
Queller David C.,
Goodnight Keith F.
Publication year - 1989
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/j.1558-5646.1989.tb04226.x
Subject(s) - biology , identity by descent , statistics , regression , nonparametric statistics , population , genetics , evolutionary biology , estimation , genetic similarity , allele , mathematics , gene , genetic diversity , demography , management , sociology , economics , haplotype
A new method is described for estimating genetic relatedness from genetic markers such as protein polymorphisms. It is based on Grafen's (1985) relatedness coefficient and is most easily interpreted in terms of identity by descent rather than as a genetic regression. It has several advantages over methods currently in use: it eliminates a downward bias for small sample sizes; it improves estimation of relatedness for subsets of population samples; and it allows estimation of relatedness for a single group or for a single pair of individuals. Individual estimates of relatedness tend to be highly variable but, in aggregate, can still be very useful as data for nonparametric tests. Such tests allow testing for differences in relatedness between two samples or for correlating individual relatedness values with another variable.