Literature DB >> 34265144

YMrCA: Improving Y-chromosomal ancestor time estimation for DNA kinship research.

Sofie Claerhout1, Simon Vanpaemel2,3, Mandev S Gill4, Laura G Antiga1,5, Guy Baele4, Ronny Decorte1,6.   

Abstract

The Y-chromosome is a valuable kinship indicator in family history and forensic research. To reconstruct genealogies, the time to the most recent common ancestor (tMRCA) between paternal relatives can be estimated through Y-STR analysis. Existing models are the stepwise mutation model (SMM, only one-step Y-STR changes) and the infinite allele model (IAM, new allele per Y-STR change). In this study, these mutation models and all existing tMRCA calculators were validated through a genetic-genealogy database containing 1,120 biologically related genealogical pairs confirmed by 46 Y-STRs with known tMRCA (18,109 generations). Consistent under- and overestimation and broad confidence intervals were observed, leading to dubious tMRCA estimates. This is because they do not include individual mutation rates or multi-step changes and ignore hidden multiple, back, or parallel modifications. To improve tMRCA estimation, we developed a user-friendly calculator, the "YMrCA", including all previously mentioned mutation characteristics. After extensive validation, we observed that the YMrCA calculator demonstrated a promising performance. The YMrCA yields a significantly higher tMRCA success rate (96%; +20%) and a lower tMRCA error (7; -3) compared to the mutation models and all online tMRCA calculators. Therefore, YMrCA offers the next step towards more objective tMRCA estimation for DNA kinship research.
© 2021 Wiley Periodicals LLC.

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Keywords:  Y-STR; Y-chromosome; familial searching; genetic-genealogy; male patrilineages; tMRCA

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Year:  2021        PMID: 34265144     DOI: 10.1002/humu.24259

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  1 in total

1.  Large-scale pedigree analysis highlights rapidly mutating Y-chromosomal short tandem repeats for differentiating patrilineal relatives and predicting their degrees of consanguinity.

Authors:  Arwin Ralf; Diego Montiel González; Dion Zandstra; Bram van Wersch; Nefeli Kousouri; Peter de Knijff; Atif Adnan; Sofie Claerhout; Mohsen Ghanbari; Maarten H D Larmuseau; Manfred Kayser
Journal:  Hum Genet       Date:  2022-10-03       Impact factor: 5.881

  1 in total

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