Evaluating Kinship Estimation Methods for Reduced-Representation SNP Data in Non-model Species.

ABSTRACT: Accurate kinship estimation between close relatives is crucial in conservation and restoration but remains challenging in wild populations due to structure and inbreeding. The efficacy of kinship inference using reduced-representation sequencing data (e.g., DArTseq, RADseq) is also uncertain. We evaluated the sensitivity and precision of six kinship methods (Goudet's beta dosage, KING Homo, KING Robust, PC-Relate, PLINK, RelateAdmix) at detecting parent-offspring and sibling relationships. Analyses were conducted on 3395 individuals and 363 families from six non-model Australian plant species: Acacia terminalis, Acacia suaveolens, Banksia serrata, Banksia aemula, Hakea sericea and Hakea teretifolia. Method performance varied across species and filtering parameters. Goudet's beta dosage and

SUBMITTER: McMaster ES 

PROVIDER: S-EPMC12550493 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature