Yan L, He Q, Verma SP, Zhang X, Giel AS, Maj C, Graz K, Naderi E, Chen J, Ali MW, Gharahkhani P, Shu X, Offit K, Shah PM, Gerdes H, Molena D, Srivastava A, MacGregor S, Palles C, Thieme R, Vieth M, Gockel I, Vaughan TL, Schumacher J, Buas MF (2025)
Publication Type: Journal article
Publication year: 2025
Book Volume: 6
Article Number: 100399
Journal Issue: 2
DOI: 10.1016/j.xhgg.2025.100399
Inherited genetics represents an important contributor to risk of esophageal adenocarcinoma (EAC), and its precursor Barrett's esophagus (BE). Genome-wide association studies have identified ∼30 susceptibility variants for BE/EAC, yet genetic interactions remain unexamined. To address challenges in large-scale G×G scans, we combined knowledge-guided filtering and machine learning approaches, focusing on genes with (1) known/plausible links to BE/EAC pathogenesis (n = 493) or (2) prior evidence of biological interactions (n = 4,196). Approximately 75 × 106 SNP×SNP interactions were screened via hierarchical group lasso (glinternet) using BEACON GWAS data. The top ∼2,000 interactions retained in each scan were prioritized using p values from single logistic models. Identical scans were repeated among males only (78%), with two independent GWAS datasets used for replication. In overall and male-specific primary replications, 11 of 187 and 20 of 191 interactions satisfied p < 0.05, respectively. The strongest evidence for secondary replication was for rs17744726×rs3217992 among males, with consistent directionality across all cohorts (P
APA:
Yan, L., He, Q., Verma, S.P., Zhang, X., Giel, A.S., Maj, C.,... Buas, M.F. (2025). Biologically targeted discovery-replication scan identifies G×G interaction in relation to risk of Barrett's esophagus and esophageal adenocarcinoma. Human Genetics and Genomics Advances, 6(2). https://doi.org/10.1016/j.xhgg.2025.100399
MLA:
Yan, Li, et al. "Biologically targeted discovery-replication scan identifies G×G interaction in relation to risk of Barrett's esophagus and esophageal adenocarcinoma." Human Genetics and Genomics Advances 6.2 (2025).
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