Literature DB >> 36190543

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

Arwin Ralf1, Diego Montiel González2, Dion Zandstra2, Bram van Wersch2, Nefeli Kousouri2, Peter de Knijff3, Atif Adnan4, Sofie Claerhout5,6, Mohsen Ghanbari7, Maarten H D Larmuseau8,9,10, Manfred Kayser11.   

Abstract

Rapidly mutating Y-chromosomal short tandem repeats (RM Y-STRs) were suggested for differentiating patrilineally related men as relevant in forensic genetics, anthropological genetics, and genetic genealogy. Empirical data are available for closely related males, while differentiation rates for more distant relatives are scarce. Available RM Y-STR mutation rate estimates are typically based on father-son pair data, while pedigree-based studies for efficient analysis requiring less samples are rare. Here, we present a large-scale pedigree analysis in 9379 pairs of men separated by 1-34 meioses on 30 Y-STRs with increased mutation rates including all known RM Y-STRs (RMplex). For comparison, part of the samples were genotyped at 25 standard Y-STRs mostly with moderate mutation rates (Yfiler Plus). For 43 of the 49 Y-STRs analyzed, pedigree-based mutation rates were similar to previous father-son based estimates, while for six markers significant differences were observed. Male relative differentiation rates from the 30 RMplex Y-STRs were 43%, 84%, 96%, 99%, and 100% for relatives separated by one, four, six, nine, and twelve meioses, respectively, which largely exceeded rates obtained by 25 standard Y-STRs. Machine learning based models for predicting the degree of patrilineal consanguinity yielded accurate and reasonably precise predictions when using RM Y-STRs. Fully matching haplotypes resulted in a 95% confidence interval of 1-6 meioses with RMplex compared to 1-25 with Yfiler Plus. Our comprehensive pedigree study demonstrates the value of RM Y-STRs for differentiating male relatives of various types, in many cases achieving individual identification, thereby overcoming the largest limitation of forensic Y-chromosome analysis.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36190543     DOI: 10.1007/s00439-022-02493-2

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   5.881


  20 in total

1.  Empirical evaluation reveals best fit of a logistic mutation model for human Y-chromosomal microsatellites.

Authors:  Arne Jochens; Amke Caliebe; Uwe Rösler; Michael Krawczak
Journal:  Genetics       Date:  2011-10-03       Impact factor: 4.562

Review 2.  The Y chromosome as the most popular marker in genetic genealogy benefits interdisciplinary research.

Authors:  Francesc Calafell; Maarten H D Larmuseau
Journal:  Hum Genet       Date:  2016-11-05       Impact factor: 4.132

3.  Male individualization using 12 rapidly mutating Y-STRs in Araein ethnic group and shared paternal lineage of Pakistani population.

Authors:  Faqeeha Javed; Sumbal Sumbal; Muhammad Shafique; Ahmad Ali Shahid; Abida Shahzadi; Noshaba Rani; Hira Javid; Madeeha Javed; Noman Gillani; Tayyab Husnain
Journal:  Int J Legal Med       Date:  2018-05-24       Impact factor: 2.686

Review 4.  On the Forensic Use of Y-Chromosome Polymorphisms.

Authors:  Peter de Knijff
Journal:  Genes (Basel)       Date:  2022-05-17       Impact factor: 4.141

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

Authors:  Sofie Claerhout; Simon Vanpaemel; Mandev S Gill; Laura G Antiga; Guy Baele; Ronny Decorte
Journal:  Hum Mutat       Date:  2021-07-29       Impact factor: 4.878

6.  Human migration through bottlenecks from Southeast Asia into East Asia during Last Glacial Maximum revealed by Y chromosomes.

Authors:  Xiaoyun Cai; Zhendong Qin; Bo Wen; Shuhua Xu; Yi Wang; Yan Lu; Lanhai Wei; Chuanchao Wang; Shilin Li; Xingqiu Huang; Li Jin; Hui Li
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

7.  Mutation Rates and Discriminating Power for 13 Rapidly-Mutating Y-STRs between Related and Unrelated Individuals.

Authors:  Alessio Boattini; Stefania Sarno; Carla Bini; Valeria Pesci; Chiara Barbieri; Sara De Fanti; Andrea Quagliariello; Luca Pagani; Qasim Ayub; Gianmarco Ferri; Davide Pettener; Donata Luiselli; Susi Pelotti
Journal:  PLoS One       Date:  2016-11-01       Impact factor: 3.240

8.  Estimating Y-Str Mutation Rates and Tmrca Through Deep-Rooting Italian Pedigrees.

Authors:  Alessio Boattini; Stefania Sarno; Alessandra M Mazzarisi; Cinzia Viroli; Sara De Fanti; Carla Bini; Maarten H D Larmuseau; Susi Pelotti; Donata Luiselli
Journal:  Sci Rep       Date:  2019-06-21       Impact factor: 4.379

9.  CSYseq: The first Y-chromosome sequencing tool typing a large number of Y-SNPs and Y-STRs to unravel worldwide human population genetics.

Authors:  Sofie Claerhout; Paulien Verstraete; Liesbeth Warnez; Simon Vanpaemel; Maarten Larmuseau; Ronny Decorte
Journal:  PLoS Genet       Date:  2021-09-07       Impact factor: 5.917

10.  Toward male individualization with rapidly mutating y-chromosomal short tandem repeats.

Authors:  Kaye N Ballantyne; Arwin Ralf; Rachid Aboukhalid; Niaz M Achakzai; Maria J Anjos; Qasim Ayub; Jože Balažic; Jack Ballantyne; David J Ballard; Burkhard Berger; Cecilia Bobillo; Mehdi Bouabdellah; Helen Burri; Tomas Capal; Stefano Caratti; Jorge Cárdenas; François Cartault; Elizeu F Carvalho; Monica Carvalho; Baowen Cheng; Michael D Coble; David Comas; Daniel Corach; Maria E D'Amato; Sean Davison; Peter de Knijff; Maria Corazon A De Ungria; Ronny Decorte; Tadeusz Dobosz; Berit M Dupuy; Samir Elmrghni; Mateusz Gliwiński; Sara C Gomes; Laurens Grol; Cordula Haas; Erin Hanson; Jürgen Henke; Lotte Henke; Fabiola Herrera-Rodríguez; Carolyn R Hill; Gunilla Holmlund; Katsuya Honda; Uta-Dorothee Immel; Shota Inokuchi; Mark A Jobling; Mahmoud Kaddura; Jong S Kim; Soon H Kim; Wook Kim; Turi E King; Eva Klausriegler; Daniel Kling; Lejla Kovačević; Leda Kovatsi; Paweł Krajewski; Sergey Kravchenko; Maarten H D Larmuseau; Eun Young Lee; Ruediger Lessig; Ludmila A Livshits; Damir Marjanović; Marek Minarik; Natsuko Mizuno; Helena Moreira; Niels Morling; Meeta Mukherjee; Patrick Munier; Javaregowda Nagaraju; Franz Neuhuber; Shengjie Nie; Premlaphat Nilasitsataporn; Takeki Nishi; Hye H Oh; Jill Olofsson; Valerio Onofri; Jukka U Palo; Horolma Pamjav; Walther Parson; Michal Petlach; Christopher Phillips; Rafal Ploski; Samayamantri P R Prasad; Dragan Primorac; Gludhug A Purnomo; Josephine Purps; Hector Rangel-Villalobos; Krzysztof Rębała; Budsaba Rerkamnuaychoke; Danel Rey Gonzalez; Carlo Robino; Lutz Roewer; Alexandra Rosa; Antti Sajantila; Andrea Sala; Jazelyn M Salvador; Paula Sanz; Cornelia Schmitt; Anil K Sharma; Dayse A Silva; Kyoung-Jin Shin; Titia Sijen; Miriam Sirker; Daniela Siváková; Vedrana Skaro; Carlos Solano-Matamoros; Luis Souto; Vlastimil Stenzl; Herawati Sudoyo; Denise Syndercombe-Court; Adriano Tagliabracci; Duncan Taylor; Andreas Tillmar; Iosif S Tsybovsky; Chris Tyler-Smith; Kristiaan J van der Gaag; Daniel Vanek; Antónia Völgyi; Denise Ward; Patricia Willemse; Eric P H Yap; Rita Y Y Yong; Irena Zupanič Pajnič; Manfred Kayser
Journal:  Hum Mutat       Date:  2014-07-14       Impact factor: 4.878

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