On minimizing assignment errors and the trade-off between false positives and negatives in parentage analysis

Harrison, Hugo B., Saenz-Agudelo, Pablo, Planes, Serge, Jones, Geoffrey P., and Berumen, Michael L. (2013) On minimizing assignment errors and the trade-off between false positives and negatives in parentage analysis. Molecular Ecology, 22 (23). pp. 5738-5742.

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Abstract

Genetic parentage analyses provide a practical means with which to identify parent–offspring relationships in the wild. In Harrison et al.'s study (2013a), we compare three methods of parentage analysis and showed that the number and diversity of microsatellite loci were the most important factors defining the accuracy of assignments. Our simulations revealed that an exclusion-Bayes theorem method was more susceptible to false-positive and false-negative assignments than other methods tested. Here, we analyse and discuss the trade-off between type I and type II errors in parentage analyses. We show that controlling for false-positive assignments, without reporting type II errors, can be misleading. Our findings illustrate the need to estimate and report both the rate of false-positive and false-negative assignments in parentage analyses.

Item ID: 32228
Item Type: Article (Refereed Research - C1)
Keywords: accuracy, kinship, parentage analysis
Additional Information:

Response to: Christie, M.R. (2013) Bayesian parentage analysis reliably controls the number of false assignments in natural populations. Molecular Ecology. 2(23):5731-5737. http://dx.doi.org/10.1111/mec.12528

ISSN: 1365-294X
Date Deposited: 29 Apr 2014 06:17
FoR Codes: 06 BIOLOGICAL SCIENCES > 0602 Ecology > 060205 Marine and Estuarine Ecology (incl Marine Ichthyology) @ 100%
SEO Codes: 96 ENVIRONMENT > 9603 Climate and Climate Change > 960307 Effects of Climate Change and Variability on Australia (excl. Social Impacts) @ 100%
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