Erschienen in:
19.01.2017 | Original Article
Pedigree-based relationship inference from complex DNA mixtures
verfasst von:
Guro Dørum, Navreet Kaur, Mario Gysi
Erschienen in:
International Journal of Legal Medicine
|
Ausgabe 3/2017
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Abstract
We present a general method for analysing DNA mixtures involving relatives that accounts for dropout and drop-in, mutations, silent alleles and population substructure. Whether the aim is to identify the contributors to a mixture who may be related, or to determine the relationship between individuals based on a DNA mixture, both types of problems can be handled by the method and software presented here. We focus on the latter scenario, motivated by non-invasive prenatal paternity testing where the profile of the child is available only in the form of a mixture with the mother’s profile. Relationships are represented by pedigrees and can include kinship between more than two individuals. The software is freely available as a graphical user interface in the R
package relMix
.