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Cancer Epidemiology Biomarkers Prevention: Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma (Tomlinson)

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  • 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

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).

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