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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