Sign in
Genetic & Genomic MedicinemedRxiv
Preprint

Germline cancer gene expression quantitative trait loci influence local and global tumor mutations

Yuxi LiuiD, Alexander GuseviD, Peter KraftiD

Abstract

Somatic mutations drive cancer development and are relevant to patients response to treatment. Emerging evidence shows that variations in the somatic genome can be influenced by the germline genetic background. However, the mechanisms underlying these germline-somatic associations remain largely obscure. We hypothesized that germline variants can influence somatic mutations in a nearby cancer gene ("local impact") or a set of recurrently mutated cancer genes across the genome ("global impact") through their regulatory effect on gene expression. We integrated tumor targeted sequencing from 12,413 patients across 11 cancer types in the Dana-Farber Profile cohort with germline cancer gene expression quantitative trait loci (eQTL) from the Genotype-Tissue Expression Project. We identified variants that upregulate ATM expression which are also associated with a decreased risk of having somatic ATM mutations across 8 cancer types (P = 3.43 x 10-5). We also identified GLI2, WRN, and CBFB eQTL that are associated with global tumor mutational burden of cancer genes in ovarian cancer, glioma, and esophagogastric carcinoma, respectively (P < 3.45 x 10-6). An EPHA5 eQTL was associated with the number of mutations in cancer genes specific to colorectal cancer, and eQTL associated with expression of APC, WRN, GLI1, FANCA, and TP53 were associated with mutations in genes specific to endometrial cancer (P < 1.73 x 10-5). Our findings provide evidence for the germline-somatic associations mediated through expression of specific cancer genes and open new avenues for research on the underlying biological processes, especially those related to immunotherapy responses.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISAaltonen '20Houlahan '22Calabrese '17Geeleher '18Feng '19Liu '22
66% semantic matchGenomics
Lauri A. Aaltonen, Federico Abascal, Adam A. Abeshouse+97 more·Nature·Feb 5, 2020· 3,065 citations