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 journalArticle

1 Citation (Scopus)

Abstract

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
Volume14
Issue number10
DOIs
StatePublished - Oct 15 2017

Fingerprint

Venous Thromboembolism
Postpartum Period
Single Nucleotide Polymorphism
Pregnancy
Chromosomes, Human, Pair 9
Maternal Death
Chromosomes, Human, Pair 7
Genome-Wide Association Study
X Chromosome
Proportional Hazards Models
Genes
Genome

Keywords

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

ASJC Scopus subject areas

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

Cite this

Identification of genetic interaction with risk factors using a time-to-event model. / De Andrade, Mariza; Armasu, Sebastian M.; McCauley, Bryan M.; Petterson, Tanya M.; Heit, John A.

In: International Journal of Environmental Research and Public Health, Vol. 14, No. 10, 1228, 15.10.2017.

Research output: Contribution to journalArticle

De Andrade, Mariza ; Armasu, Sebastian M. ; McCauley, Bryan M. ; Petterson, Tanya M. ; Heit, John A. / Identification of genetic interaction with risk factors using a time-to-event model. In: International Journal of Environmental Research and Public Health. 2017 ; Vol. 14, No. 10.
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