Journal
ELECTROPHORESIS
Volume -, Issue -, Pages -Publisher
WILEY
DOI: 10.1002/elps.202300142
Keywords
forensic genomics; genetic genealogy; kinship coefficient; mismatch distributions; single-nucleotide polymorphisms
Ask authors/readers for more resources
Genetic genealogy is increasingly used in forensic investigations to identify criminals. However, current applications often overlook lineage markers, leading to inaccurate determinations of genetic lineages. This study presents a method that utilizes mismatch frequencies of single-nucleotide polymorphisms (SNPs) in Y-chromosomal and mitochondrial DNA to accurately determine paternal or maternal lineages.
Genetic genealogy has been more frequently used in forensic investigations in identifying criminals. However, the current genetic genealogy applications usually do not consider lineage markers (including both Y and mitochondrial deoxyribonucleic acid (DNA)), which is probably because not all distant relatives share the same lineage markers. In addition, there is no study to show how to use lineage markers and what methods or thresholds should be applied in genetic genealogy. In this study, we developed a method to quickly determine if two single-nucleotide polymorphism (SNP) profiles are from the same paternal or material lineages by using a mismatch frequency of the SNPs in Y-chromosomal or mitochondrial DNA. For both Y and mitochondrial SNPs, profile pairs from the same or different lineages can be decided with high accuracies (i.e., 0.380% or 0.157% error rates with Y and mitochondrial DNA, respectively). With kinship coefficient filtering based on autosomal SNPs, the accuracies of determining maternal and paternal lineage can be further improved (i.e., 0.120% or 0.057% error rates with Y and mitochondrial DNA, respectively, using a threshold of kinship coefficient >0). This study shows that lineage markers can be very powerful tools with high accuracies to determine lineages, which could help solve cases and reduce costs for genetic genealogy investigations.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available