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Preprint: Elston–Stewart algorithm applied to exact Y-STR match probability calculation in pedigree forensics

A bioRxiv preprint describes how the Elston–Stewart algorithm can be adapted to calculate exact pedigree-based match probabilities for Y-chromosomal STR profiles, addressing a longstanding challenge in forensic genetics.

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A preprint posted to bioRxiv on 19 August 2026 by researchers at Cold Spring Harbor Laboratory describes the application of the Elston–Stewart algorithm — a classical method from quantitative genetics for computing likelihoods across pedigrees — to the problem of calculating exact match probabilities for Y-chromosomal short tandem repeat (Y-STR) profiles in forensic genetics contexts.

Y-STR analysis is widely used in forensic casework, particularly in sexual offence investigations, because the non-recombining nature of the Y chromosome means that male-line relatives share the same Y-STR haplotype. This creates a statistical challenge: under the defence hypothesis that a suspect was not the trace donor, calculating the probability that another man in the relevant suspect population would share the same Y-STR profile requires modelling of relatedness and population structure. The Elston–Stewart algorithm, by enabling efficient traversal of pedigree structures, offers a mathematically tractable approach to this calculation.

The preprint is directly relevant to researchers in forensic genetics, population genetics, and statistical genetics, as well as to those working on pedigree-based probability methods more broadly. The Elston–Stewart algorithm is also of interest to the Evagene research community given its application to pedigree likelihood computation.

This is a preprint and has not yet been peer-reviewed.

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  1. Primary sourcePreprint bioRxiv (Cold Spring Harbor Laboratory) · 2026-08-19
    Use of the Elston-Stewart algorithm for the efficient calculation of exact pedigree-based Y-STR match probabilities

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y-str forensic-genetics elston-stewart-algorithm pedigree-likelihood population-genetics y-chromosome statistical-genetics preprint
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About Genetic Current

Educational summaries of public genetics news

Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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