Identifying kinship relations using incomplete DNA: A Bayesian approach to determine the maximum likelihood pedigree using MCMC
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2013-11-28
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en
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Abstract
A method for pedigree reconstruction is proposed using Markov Chain Monte Carlo and Bayesian inference,
which can reconstruct the family relations of several individuals in question, based on DNA profiles.
Kinship relations are reconstructed using genetic microsatellite (STR) data from samples of related individuals.
In particular, this research extends methods for pedigree reconstruction to incorporate mutations and
to handle incomplete genotype samples, in which genetic profiles were either not observed for all individuals
in the pedigree, or genetic profiles contain missing observations on some genetic markers. This extends
pedigree reconstruction to take account for distant family relations. The algorithm is demonstrated using
generated datasets and a single human dataset. The proposed method can be applied in forensic science,
criminology, legal decisions, archeology, and medicine.
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Faculteit der Sociale Wetenschappen