Limited influence of germline genetic variation on all-cause mortality in women with early onset breast cancer: evidence from gene-based tests, single-marker regression, and whole-genome prediction

Molly Scannell Bryan, Maria Argos, Irene L. Andrulis, John L. Hopper, Jenny Chang-Claude, Kathleen Malone, Esther M. John, Marilie D. Gammon, Mary Daly, Mary Beth Terry, Saundra S. Buys, Dezheng Huo, Olofunmilayo Olopade, Jeanine M. Genkinger, Farzana Jasmine, Muhammad G. Kibriya, Lin Chen, Habibul Ahsan

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Purpose: Women diagnosed with breast cancer have heterogeneous survival outcomes that cannot be fully explained by known prognostic factors, and germline variation is a plausible but unconfirmed risk factor. Methods: We used three approaches to test the hypothesis that germline variation drives some differences in survival: mortality loci identification, tumor aggressiveness loci identification, and whole-genome prediction. The 2954 study participants were women diagnosed with breast cancer before age 50, with a median follow-up of 15 years who were genotyped on an exome array. We first searched for loci in gene regions that were associated with all-cause mortality. We next searched for loci in gene regions associated with five histopathological characteristics related to tumor aggressiveness. Last, we also predicted 10-year all-cause mortality on a subset of 1903 participants (3,245,343 variants after imputation) using whole-genome prediction methods. Results: No risk loci for mortality or tumor aggressiveness were identified. This null result persisted when restricting to women with estrogen receptor-positive tumors, when examining suggestive loci in an independent study, and when restricting to previously published risk loci. Additionally, the whole-genome prediction model also found no evidence to support an association. Conclusion: Despite multiple complementary approaches, our study found no evidence that mortality in women with early onset breast cancer is influenced by germline variation.

Original languageEnglish
Pages (from-to)707-717
Number of pages11
JournalBreast Cancer Research and Treatment
Volume164
Issue number3
DOIs
StatePublished - Aug 1 2017

Keywords

  • Early onset breast cancer
  • Gene-based tests
  • SKAT-O
  • Single nucleotide variants
  • Survival
  • Whole-genome prediction

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