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

Authors
  • Harrison, Hugo B
  • Saenz-Agudelo, Pablo
  • Planes, Serge
  • Jones, Geoffrey P
  • Berumen, Michael L
Type
Published Article
Journal
Molecular Ecology
Publisher
Wiley (Blackwell Publishing)
Publication Date
Dec 01, 2013
Volume
22
Issue
23
Pages
5738–5742
Identifiers
DOI: 10.1111/mec.12527
PMID: 24102837
Source
Medline
Keywords
License
Unknown

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.

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