A network analysis to identify mediators of germline-driven differences in breast cancer prognosis

Maria Escala Garcia, Jean Abraham, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Alan Ashworth, Paul L. Auer, Päivi Auvinen, Matthias W. Beckmann, Jonathan Beesley, Lodewyk F.A. Wessels, More Authors

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)
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Abstract

Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.

Original languageEnglish
Article number312
Pages (from-to)1-14
Number of pages14
JournalNature Communications
Volume11
Issue number1
DOIs
Publication statusPublished - 2020

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