Identification of genetic interaction with risk factors using a time-to-event model

Mariza de Andrade, Sebastian M. Armasu, Bryan M. McCauley, Tanya M. Petterson, John A. Heit

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Background: Certain diseases can occur with and without a trigger. We use Venous Thromboembolism (VTE) as our example to identify genetic interaction with pregnancy in women with VTE during pre- or postpartum. Pregnancy is one of the major risk factors for VTE as it accounts for 10% of maternal deaths. Methods: We performed a whole genome association analysis using the Cox Proportional Hazard (CoxPH) model adjusted for covariates to identify genetic variants associated with the time-to-event of VTE related to pre- or postpartum during the childbearing age of 18-45 years using a case-only design in a cohort of women with VTE. Women with a VTE event after 45 years of age were censored and contributed only follow-up time. Results: We identified two intragenic single nucleotide polymorphisms (SNPs) at genome-wide significance in the PURB gene located on chromosome 7, and two additional intragenic SNPs, one in the LINGO2 gene on chromosome 9 and one in RDXP2 on chromosome X. Conclusions: We showed that the time-to-event model is a useful approach for identifying potential hazard-modification of the genetic variants when the event of interest (VTE) occurs due to a risk factor (pre- or post-partum).

Original languageEnglish (US)
Article number1228
JournalInternational journal of environmental research and public health
Issue number10
StatePublished - Oct 15 2017


  • Genetic variation
  • Genome-wide association study
  • Pregnancy complications
  • Risk factors
  • Venous thromboembolism

ASJC Scopus subject areas

  • Pollution
  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis


Dive into the research topics of 'Identification of genetic interaction with risk factors using a time-to-event model'. Together they form a unique fingerprint.

Cite this