Toward genetics-informed control of Border disease in goats: a cross-model machine learning consensus screen for candidate SNPs
This study employs a leakage-safe machine learning consensus framework to identify 39 candidate SNPs associated with Border disease virus serostatus in goats, providing a hypothesis-generating genomic signal that warrants further functional validation.