# Epigenetic germline variants predict cancer prognosis and risk and distribute uniquely in topologically associating domains

**Authors:** Shervin Goudarzi, Meghana Pagadala, Adam Klie, James V Talwar, Hannah Carter, Chiara Herzog, Hannah Carter, Charu Mehta, Hannah Carter

PMC · DOI: 10.12688/f1000research.139476.1 · F1000Research · 2023-09-01

## TL;DR

This study shows that genetic variants affecting DNA methylation are linked to cancer risk and survival, and their distribution is influenced by chromatin structure.

## Contribution

The study reveals that cancer meQTLs are enriched in specific chromatin domains and are associated with cancer risk and prognosis.

## Key findings

- Cancer meQTLs are more densely located near inactive TADs in boundary regions.
- meQTLs near tumor suppressors are enriched in active TADs, while those near oncogenes are depleted.
- Polygenic meQTL scores were linked to increased cancer risk in 10 tumor types.

## Abstract

Background: Methylation quantitative trait loci (meQTLs) associate with different levels of local DNA methylation in cancers. Here, we investigated whether the distribution of cancer meQTLs reflected functional organization of the genome in the form of chromatin topologically associated domains (TADs) and evaluated whether cancer meQTLs near known driver genes have the potential to influence cancer risk or progression.

Methods: Published cancer meQTLs were analyzed according to their location in transcriptionally active or inactive TADs and TAD boundary regions. Cancer meQTLs near known cancer genes were analyzed for association with cancer risk in the UKBioBank , and prognosis in The Cancer Genome Atlas (TCGA).

Results: In TAD boundary regions, the density of cancer meQTLs was higher near inactive TADs. Furthermore, we observed an enrichment of cancer meQTLs in active TADs near tumor suppressors, whereas there was a depletion of such meQTLs near oncogenes. Several meQTLs were associated with cancer risk in the UKBioBank, and we were able to reproduce breast cancer risk associations in the DRIVE cohort. Survival analysis in TCGA implicated a number of meQTLs in 13 tumor types. In 10 of these, polygenic cancer meQTL scores were associated with increased hazard in a CoxPH analysis. Risk and survival-associated meQTLs tended to affect cancer genes involved in DNA damage repair and cellular adhesion and reproduced cancer-specific associations reported in prior literature.

Conclusions: This study provides evidence that genetic variants that influence local DNA methylation are affected by chromatin structure and can impact tumor evolution.

## Linked entities

- **Diseases:** cancer (MONDO:0004992), breast cancer (MONDO:0004989)

## Full-text entities

- **Diseases:** breast cancer (MESH:D001943), oncogenes (MESH:D000074723), Cancer (MESH:D009369)

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12826361/full.md

## References

57 references — full list in the complete paper: https://tomesphere.com/paper/PMC12826361/full.md

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Source: https://tomesphere.com/paper/PMC12826361