Abstract：
:Parentage analysis is an important method that is used widely in zoological and ecological studies. Current mathematical models of parentage analyses usually assume that a population has a uniform genetic structure and that mating is panmictic. In a natural population, the geographic or social structure of a population, and/or nonrandom mating, usually leads to a genetic structure and results in genotypic frequencies deviating from those expected under the Hardy-Weinberg equilibrium (HWE). In addition, in the presence of null alleles, an observed genotype represents one of several possible true genotypes. The true father of a given offspring may thus be erroneously excluded in parentage analyses, or may have a low or negative LOD score. Here, we present a new mathematical model to estimate parentage that includes simultaneously the effects of inbreeding, null alleles, and negative amplification. The influences of these three factors on previous model are evaluated by Monte-Carlo simulations and empirical data, and the performance of our new model is compared under controlled conditions. We found that, for both simulated and empirical data, our new model outperformed other methods in many situations. We make available our methods in a new, free software package entitled parentage This can be downloaded via http://github.com/huangkang1987/parentage.
journal_name
Geneticsjournal_title
Geneticsauthors
Huang K,Mi R,Dunn DW,Wang T,Li Bdoi
10.1534/genetics.118.301592subject
Has Abstractpub_date
2018-12-01 00:00:00pages
1467-1481issue
4eissn
0016-6731issn
1943-2631pii
genetics.118.301592journal_volume
210pub_type
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