Evidence map›Paper›PMID 29036934›Full record

ArticleInternational journal of environmental research and public health2017

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

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Sex-Specific Physiology and Cardiovascular Disease.Advances in experimental medicine and biology
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Mariza de AndradeDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA. mandrade@mayo.edu.
Sebastian M ArmasuDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA. armasu.sebastian@mayo.edu.
Bryan M McCauleyDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA. mccauley.bryan@mayo.edu.
Tanya M PettersonDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA. petterst@mayo.edu.
John A HeitDivision of Epidemiology, Department of Health Sciences Research; Mayo Clinic, Rochester, MN 55905, USA. Heit.John@mayo.edu.
Mayo Clinic in Florida · US

Funding

Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
RISK FACTORS FOR VENOUS THROMBOEMBOLISM IN THE COMMUNITYR01HL066216 · NHLBI · MAYO CLINIC ROCHESTER · PI ASHRANI, ANEEL ARJUN, BAILEY, KENT R · 2001 to 2019
$10.4M
Individual Propensity to Venous ThrombosisR01HL083141 · NHLBI · MAYO CLINIC ROCHESTER · PI HEIT, JOHN A. · 2006 to 2009
$3.0M
GWAS of Venous ThrombosisU01HG004735 · NHGRI · MAYO CLINIC ROCHESTER · PI HEIT, JOHN A. · 2008 to 2009
$1.1M
NHGRI NIH HHS U01 HG004735NHGRI NIH HHS U01 HG006379NHLBI NIH HHS R01 HL066216NHLBI NIH HHS R01 HL083141
6 · The paper itself

Abstract

backgroundCertain 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.

methodsWe 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.

resultsWe identified two intragenic single nucleotide polymorphisms (SNPs) at genome-wide significance in the

conclusionsWe 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).

Indexed as

AdolescentAdultCase-Control StudiesFemaleGenome-Wide Association StudyHumansMiddle AgedPolymorphism, Single NucleotidePostpartum PeriodPregnancyPregnancy Complications, CardiovascularProportional Hazards ModelsRisk FactorsVenous ThromboembolismYoung Adultgenetic variationgenome-wide association studypregnancy complicationsrisk factorsvenous thromboembolism

Identifiers

PMID29036934
PMCPMC5664729
OpenAlexW2762664325

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.