Relating two deep-rooted pedigrees from Central Germany by high-resolution Y-STR haplotyping

Forensic Sci Int Genet. 2007 Jun;1(2):125-8. doi: 10.1016/j.fsigen.2007.02.004. Epub 2007 Mar 13.

Abstract

Y-STR haplotyping is a powerful forensic and anthropological tool for identifying male lineages. We used high-resolution Y-STR haplotyping to evaluate the possibility of a blood relationship between two deep-rooted paternal genealogies with the same surname and originating from the same geographical region in Central Germany. One pedigree comprised 13 generations covering >450 years, the other comprised nine generations covering >300 years. Of the 68 loci tested, 64 (94%) consistently had the same allele in all males in the two pedigrees (except for some unambiguously sporadic mutations within pedigrees). Only four Y-STRs had a consistent allelic difference of exactly one repeat between the two pedigrees. These findings suggested that the two pedigrees were paternally related, and a conservative assessment taking average mutation rates and the available local haplotype frequencies for nine loci into account yielded a likelihood ratio of 8.2:1 in favour of this hypothesis. Our study thus highlights the power of Y-STR haplotyping to identify male lineages. It also shows that families can be linked to common ancestors on the basis of Y-STR data, even if these individuals lived several hundred years ago. However, the potential of Y-STR haplotyping could still not be fully exploited in our case due to a lack of appropriate population frequency data for all analysed Y-STR loci. This shortcoming makes a strong case for more comprehensive haplotype databases, including more samples and larger numbers of loci.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alleles
  • Chromosomes, Human, Y / genetics*
  • Female
  • Forensic Genetics
  • Genetics, Population
  • Germany
  • Haplotypes
  • Humans
  • Likelihood Functions
  • Male
  • Microsatellite Repeats*
  • Models, Genetic
  • Mutation
  • Pedigree
  • Time Factors