Feasibility of cross-publication SNP-effect synthesis for livestock growth traits: a purposive audit of 35 reports from a 193-report PubMed corpus

This is the data and supplementary package accompanying: "Feasibility of cross-publication SNP-effect synthesis for livestock growth traits: a purposive audit of 35 reports from a 193-report PubMed corpus"Albert Iribagiza, Vanessa Nibigira, Hermenegilde Niyongabo, Emmanuel Mvuyekure This is a purposive methodological feasibility audit, not a PRISMA-compliant systematic review. It examines whether SNP-level effect estimates (allele, direction, magnitude, standard error) can be recovered and reused across independent published GWAS reports on growth-related traits in pigs, sheep and goats, rather than estimating biological effect sizes or reporting prevalence. Package contents:- Main_Manuscript.docx — current manuscript text- Supplementary_Tables_final.xlsx — full supplementary workbook (Tables S1-S11): report-level corpus characteristics, bibliography, candidate-source and overlap registers, direct-verification log, dated PubMed search documentation, and independent human-reviewer screening agreement statistics- PubMed_2026-08-29_669_records.csv — raw export of the 29 August 2026 PubMed search that identified the 193-report reference corpus- PubMed_2026-08-29_195_corrected_fulltext_queue.csv — corrected full-text eligibility queue (193 included, 2 excluded)- PubMed_2026-09-20_628_search_records.csv — recovery search used to check corpus completeness and flag update candidates- Supplementary_Search_Screening_Reconciliation.docx — verbatim search queries and eligibility-flow reconciliation- README.txt — file-by-file description and scope notes Reference corpus: 193 reports (113 pig, 60 sheep, 20 goat). Variant-level audit: 35 reports matrix-audited, 17 directly inspected (45 unique reports; no goat report assessed at variant level). Independent duplicate title-level screening of 376 update-candidate records was completed by two non-co-author human reviewers (Supplementary Table S10; percent agreement and Cohen's/Fleiss' kappa reported); a separate three-model AI-ensemble comparison is reported as a post hoc robustness check only (Supplementary Table S11) and does not substitute for the human screening. Keywords: GWAS, genome-wide association study, livestock genetics, growth traits, pig, sheep, goat, SNP effect, meta-analysis feasibility, systematic screening, data reuse License: CC-BY 4.0 Corresponding author: Albert Iribagiza ([e-mail]), ORCID 0009-0004-4417-9265