From genetic data to kinship clarity: employing machine learning for detecting incestuous relations

From genetic data to kinship clarity: employing machine learning for detecting incestuous relations

Introduction:The aim of the study was to develop a predictive model based on STR profiles of mothers and children for the detection of incestuous conception.Methods:Based on allele frequency data from the USA and Saudi Arabia, STR profiles were generated and used to simulate offspring profiles corre...

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Bibliographic Details
Main Authors: Dejan Šorgić, Aleksandra Stefanović, Mladen Popović, Dušan Keckarević
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Genetics
Subjects:
machine learning
forensic genetics
kinship analysis
incest detection
STR profiling
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2025.1578581/full
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