The microRNA-548 (miR-548) family is a large primate-specific microRNA group characterized by extensive sequence diversification, but the relationship between sequence evolution and disease-associated organization remains unclear. We integrated 81 curated mature miR-548 sequences with 134 literature-derived disease-association records and applied sequence alignment, entropy profiling, maximum-likelihood phylogenetics, Jaccard-based disease-profile clustering, network and intersection analyses, and sequence-function matrix correlation. Disease associations spanned 54 curated identifiers across cancer, infectious, inflammatory, and autoimmune categories and were broadly distributed across the phylogeny. After exact mature-sequence matching and collapse of three nomenclature aliases, the primary sequence-resolved analysis included 44 unique mature sequences. Mature-sequence distance showed no significant association with disease-profile distance (Spearman rho = -0.1103, permutation p = 0.1002; 946 pairwise comparisons; 5000 permutations). Restricting the analysis to experimentally supported associations yielded a comparable result (43 sequences; rho = -0.1150, p = 0.1008). These findings indicate that mature-sequence similarity is not a strong predictor of broad disease-association profile similarity within the miR-548 family and support disease-associated convergence across evolutionarily distributed family members.