Source of genome-wide deleterious variation in a global cattle cohort
Abstract
Background: Identifying deleterious DNA changes underpins efforts to improve animal health, welfare, and sustainable breeding. In cattle, current variant prioritization focuses on coding changes, uses single annotation types, and gives limited resolution in non-coding sequence.
Results: We developed BovCADD (bovine Combined Annotation-Dependent Depletion), a nucleotide-level deleteriousness score for substitutions in Bos taurus and Bos indicus , combining evolutionary constraint, sequence context, epigenetic and regulatory annotations, and gene and protein features. A logistic regression model trained on 41.9 million high-frequency derived alleles from about 3,700 cattle, contrasted with context-matched simulated variants, scored all 8.1 billion possible substitutions. BovCADD distinguished known pathogenic variants from background variation, discriminated among variants within the same consequence class, and scored intronic and intergenic sites. Aggregating scores identified genes carrying rare deleterious variation and revealed elevated genetic load at trait-relevant loci and in bottlenecked, intensively selected populations.
Conclusions: BovCADD provides the first genome-wide, nucleotide-resolution measure of deleteriousness in cattle, extending variant interpretation into non-coding sequence and linking variant-level prioritization with population-level patterns of mutational burden. Precomputed scores for all substitutions are publicly available.
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.
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