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Cited by 3,032

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

ESTIMATING RELATEDNESS USING GENETIC MARKERS

Open access
Queller, David C., Goodnight, Keith F.·1989·Evolution

Abstract

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.

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Crossref · 10.1111/j.1558-5646.1989.tb04226.x

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Metadata

Authors
Queller, D. C., & Goodnight, K. F.
Venue
Evolution
Published
1989-03
Volume
43
Issue
2
Pages
258-275
ISSN
  • 0014-3820 (ISSN-L)
  • 1558-5646
OpenAlex
W1973214225
Cited by
3,032
References
2
FWCI
5.86
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: ESTIMATING RELATEDNESS USING GENETIC MARKERS. https://app.cochat.ai/papers/10.1111/j.1558-5646.1989.tb04226.x
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Queller, D. C., & Goodnight, K. F. (1989). ESTIMATING RELATEDNESS USING GENETIC MARKERS. Evolution. https://doi.org/10.1111/j.1558-5646.1989.tb04226.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.