Microsatellite null alleles in parentage analysis

By Elizabeth E. Dakin, J. Avise. Heredity, 2004

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In Genetics

Citations in the corpus

Microsatellites for ecologists: a practical guide to using and evaluating microsatellite markers. (2006, background): “A low rate of null alleles 2006 Blackwell Publishing Ltd/CNRS can have a negligible impact on many types of analysis, although for some types of parentage analyses it can be substantial (Dakin & Avise 2004).”
Hunting of Mammals Reduces Seed Removal and Dispersal of the Afrotropical Tree Antrocaryon klaineanum (Anacardiaceae) (2007, background): “…bias us toward type II errors (assignment of seed to mother above when source is actually another tree), they limit type I errors (assignment of seed to another source when its maternal origin is actually tree above), allowing for a more conservative analysis of seed dispersal (Dakin & Avise 2004).”
Microsatellite Markers in Plants and Insects. Part I: Applications of Biotechnology (2009, background): “These microsatellite null alleles might lead to high frequencies of false parentage exclusions (Dakin and Avise 2004).”
Glacial survival and post‐glacial recolonization of an arctic–alpine freshwater insect (Arcynopteryx dichroa, Plecoptera, Perlodidae) in Europe (2013, neutral): “Simulations show that the bias induced by null alleles for population structure estimates is negligible at frequencies below 0.2 (Dakin & Avise, 2004).”
Analysing georeferenced population genetics data with Geneland: a new algorithm to deal with null alleles and a friendly graphical user interface (2008, background): “A well known source of such potential problems is the presence of null alleles arising from variation in the nucleotide sequences of ﬂanking regions that prevent the primer annealing to template DNA during PCR ampliﬁcation of the microsatellite locus [Dakin and Avise, 2004].”
Genetic Diversity, Population Structure, Parentage Analysis, and Construction of Core Collections in the French Apple Germplasm Based on SSR Markers (2016, methodology): “They were discarded from further analyses as they may introduce a bias in both Hardy-Weinberg test computation and parentage analysis (Dakin and Avise 2004).”
Mitigating Scoring Errors in Microsatellite Data from Wild Populations (2006, background): “Null alleles, the third form of scoring error considered here, are particularly difficult to detect because, by definition, nulls fail to produce a visible product (Dakin & Avise 2004), typically due to mutation at a priming site.”
ml‐relate: a computer program for maximum likelihood estimation of relatedness and relationship (2006, background): “Null alleles are common in microsatellite data, and can easily lead to errors in estimating relatedness or relationship if their potential presence is not accommodated in relatedness or relationship calculations (Dakin & Avise 2004; Wagner et al .”
Maximum likelihood estimation of the frequency of null alleles at microsatellite loci (2006, background): “Last, and perhaps most important, null alleles can interfere with parentage identification (e.g. Dakin and Avis 2004).”