Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma

肝母细胞瘤 转录组 生物 候选基因 基因 遗传学 遗传谱系 全基因组关联研究 联想(心理学) 计算生物学 生物信息学 单核苷酸多态性 医学 内科学 基因型 基因表达 环境卫生 人口 心理学 心理治疗师
作者
Tiankai Xie,Josey C. Sorenson,Logan G. Spector,Nathan Pankratz,R. Stephanie Huang,Eiso Hiyama,Jenny N. Poynter,Gail E. Tomlinson,Carolina Armengol,Roland Kappler,Michael E. Scheurer,Eve Roman,Aurora Castellano,Michael A. Grotzer,David S. Ziegler,Saonli Basu,Erin L. Marcotte,Tianzhong Yang
出处
期刊:Cancer Epidemiology, Biomarkers & Prevention [American Association for Cancer Research]
卷期号:34 (8): 1405-1414
标识
DOI:10.1158/1055-9965.epi-24-1553
摘要

Abstract Background: Hepatoblastoma (HB) is a rare embryonal liver tumor, with an increasing global incidence that underscores the need to understand its genetic etiology. Methods: Utilizing the ancestry-matched expression quantitative loci data, we performed a HB transcriptome-wide association study (TWAS) on 4,539 Europeans, 1,047 Latinos, and 378 African Americans (∼1:10 case–control ratio). We conducted a meta-analysis of multiancestry transcriptome-wide analysis (METRO), followed by METRO-Egger sensitivity analysis and ancestry-specific gene set enrichment analyses. We further explored genes with additional evidence gathered from independent cohorts and databases. Results: Across the three ancestries, the discovered genes shared the same effect direction across ancestries. A meta-analysis of the three ancestries identified 28 genes significantly associated with HB risk, and 15 were nominally significant for at least two ancestries. Our post-TWAS analyses highlighted 8 genes among these 28, including OXER1 (meta-analysis P value = 7.34 × 10−6), FADS1 (P value = 4.01 × 10−6), and UGDH (P value = 5.29 × 10−8), which were expressed in fetal liver hepatoblast cells and were differentially expressed in tumor and normal tissues in an independent Japanese HB study (P values = 2.61 × 10−13, 3.62 × 10−3, and 1.95 × 10−9, respectively). Conclusions: We pinpointed eight potential genes associated with HB using data from an ongoing multiancestry genome-wide association study. Impact: We conducted the largest HB TWAS to date, prompting further exploration of genes.
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