bioRxivJClub
Pedigree-tracking improved population monitoring of recessive disease-causing alleles in pedigreed canine populations
bioRxiv · · Preprint · Open access
Craddock, Janes Fistric + 5 more
Abstract ↗AI summary
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Probabilistic pedigree inference using unknown parent groups in five RKC-registered pedigrees estimates disease-causing allele frequencies for PLL and PRA-rcd4, with 2020 values up to 0.092 higher than test-only approaches.
- Why it matters: Current canine monitoring often uses only partial pedigree information because many dogs lack genetic test results or hereditary status, limiting accurate tracking of recessive disease alleles.
- What they did: The method estimates genotype probabilities for all individuals from available genetic tests for PLL and PRA-rcd4, then derives allele-frequency trends and evaluates inference via leave-one-out cross-validation and gene-drop simulations.
- The result: Correlations between true and estimated allele dosages ranged from 0.47 to 0.67 across breeds, and simulations suggest retrospective underestimation—especially for dogs born before 1990—enabling more comprehensive monitoring for breeding decisions.
The findingWhy it mattersWhat they didThe result
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