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  5. The Identification of a 1916 Irish Rebel: New Approach for Estimating Relatedness from Low Coverage Homozygous Genomes
 
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The Identification of a 1916 Irish Rebel: New Approach for Estimating Relatedness from Low Coverage Homozygous Genomes

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Author(s)
Fernandes, Daniel 
Sirak, Kendra 
Novak, Mario 
Finarelli, John A. 
Carlsson, Jeanette E. L. 
Ferretti, Edmondo 
Pinhasi, Ron 
Carlsson, Jens 
et al. 
Uri
http://hdl.handle.net/10197/8434
Date Issued
30 January 2017
Date Available
18T15:16:29Z April 2017
Abstract
Thomas Kent was an Irish rebel who was executed by British forces in the aftermath of the Easter Rising armed insurrection of 1916 and buried in a shallow grave on Cork prison’s grounds. In 2015, ninety-nine years after his death, a state funeral was offered to his living family to honor his role in the struggle for Irish independence. However, inaccuracies in record keeping did not allow the bodily remains that supposedly belonged to Kent to be identified with absolute certainty. Using a novel approach based on homozygous single nucleotide polymorphisms, we identified these remains to be those of Kent by comparing his genetic data to that of two known living relatives. As the DNA degradation found on Kent’s DNA, characteristic of ancient DNA, rendered traditional methods of relatedness estimation unusable, we forced all loci homozygous, in a process we refer to as 'forced homozygote approach'. The results were confirmed using simulated data for different relatedness classes. We argue that this method provides a necessary alternative for relatedness estimations, not only in forensic analysis, but also in ancient DNA studies, where reduced amounts of genetic information can limit the application of traditional methods.
Sponsorship
European Research Council
Irish Research Council
Other Sponsorship
NSF grant
Type of Material
Journal Article
Publisher
Nature Publishing Group
Journal
Scientific Reports
Volume
7
Start Page
1
End Page
10
Copyright (Published Version)
2017 the Authors
Keywords
  • Computational biology...

  • Bioinformatics

  • Genomics

DOI
10.1038/srep41529
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Biology & Environmental Science Research Collection
Scopus© citations
9
Acquisition Date
Feb 6, 2023
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