Estimating the probability of identity among genotypes in natural populations: cautions and guidelines
Abstract
Individual identification using DNA fingerprinting methods is emerging as a critical tool in conservation genetics and molecular ecology. Statistical methods that estimate the probability of sampling identical genotypes using theoretical equations generally assume random associations between alleles within and among loci. These calculations are probably inaccurate for many animal and plant populations due to population substructure. We evaluated the accuracy of a probability of identity (P(ID)) estimation by comparing the observed and expected P(ID), using large nuclear DNA microsatellite data sets from three endangered species: the grey wolf (Canis lupus), the brown bear (Ursus arctos), and the Australian northern hairy‐nosed wombat (Lasiorinyus krefftii). The theoretical estimates of P(ID) were consistently lower than the observed P(ID), and can differ by as much as three orders of magnitude. To help researchers and managers avoid potential problems associated with this bias, we introduce an equation for P(ID) between sibs. This equation provides an estimator that can be used as a conservative upper bound for the probability of observing identical multilocus genotypes between two individuals sampled from a population. We suggest computing the actual observed P(ID) when possible and give general guidelines for the number of codominant and dominant marker loci required to achieve a reasonably low P(ID) (e.g. 0.01–0.0001).
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Probability of identity values were low for all sites, except Zanzibar where PI was 0.014, and were adequate for population studies.
“PIs were low for all sites (PI < 0.01, except in Zanzibar PI = 0.014) and therefore adequate for population studies (Waits et al. 2001).”
From Population genetics of the brooding coral Seriatopora hystrix reveals patterns of strong genetic differentiation in the Western Indian Ocean (2021) · cites this paper as Waits et al. 2001
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- Authors
- Waits, L. P., Luikart, G., & Taberlet, P.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Waits, Lisette P.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2001-01
- Volume
- 10
- Issue
- 1
- Pages
- 249-256
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2046403313
- Cited by
- 1,437
- References
- 48
- Citations by year
- 2026: 51 · 2025: 57 · 2024: 72 · 2023: 50 · 2022: 86 · 2021: 89 · 2020: 70 · 2019: 72 · 2018: 73 · 2017: 61 · 2016: 67 · 2015: 70 · 2014: 88 · 2013: 60 · 2012: 86
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Molecular Ecology (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- National Science Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- probability of identity, DNA fingerprinting, microsatellite markers, population substructure, allele association, individual identification, threatened species, grey wolf, brown bear, conservation genetics
- MeSH terms
- Animals, Ursidae, Genetics, Population, Marsupialia, Probability, Models, Statistical, Bias, DNA Fingerprinting, Microsatellite Repeats, Wolves
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