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Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma
Tiankai Xie1, Josey C Sorenson1, Logan G Spector2
1Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, Minnesota.
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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