Quantifying genotyping errors in noninvasive population genetics.

Détails

ID Serval
serval:BIB_D6D6F6530F05
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Quantifying genotyping errors in noninvasive population genetics.
Périodique
Molecular Ecology
Auteur(s)
Broquet T., Petit E.
ISSN
0962-1083
Statut éditorial
Publié
Date de publication
2004
Peer-reviewed
Oui
Volume
13
Numéro
11
Pages
3601-3608
Langue
anglais
Résumé
The use of noninvasively collected samples greatly expands the range of ecological issues that may be investigated through population genetics. Furthermore, the difficulty of obtaining reliable genotypes with samples containing low quantities of amplifiable DNA may be overcome by designing optimal genotyping schemes. Such protocols are mainly determined by the rates of genotyping errors caused by false alleles and allelic dropouts. These errors may not be avoided through laboratory procedure and hence must be quantified. However, the definition of genotyping error rates remains elusive and various estimation methods have been reported in the literature. In this paper we proposed accurate codification for the frequencies of false alleles and allelic dropouts. We then reviewed other estimation methods employed in hair- or faeces-based population genetics studies and modelled the bias associated with erroneous methods. It is emphasized that error rates may be substantially underestimated when using an erroneous approach. Genotyping error rates may be important determinants of the outcome of noninvasive studies and hence should be carefully computed and reported.
Mots-clé
Alleles, Genetics, Population, Genotype, Models, Genetic, Research Design, Selection Bias
Pubmed
Web of science
Création de la notice
19/11/2007 11:49
Dernière modification de la notice
20/08/2019 16:56
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