Evidence map›Paper›PMID 27187494›Full record

ArticlePloS one2016

Case-Only Survival Analysis Reveals Unique Effects of Genotype, Sex, and Coronary Disease Severity on Survivorship.

Jennifer R Dungan, Xuejun Qin, Benjamin D Horne, John F Carlquist, Abanish Singh, Melissa Hurdle, Elizabeth Grass, Carol Haynes, Simon G Gregory, Svati H Shah and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Sex-dimorphic gene effects on survival outcomes in people with coronary artery disease.American heart journal plus : cardiology research and practice · 2022
    Article
  2. Article
  3. Article
  4. Impact of Selection Bias on Estimation of Subsequent Event Risk.Circulation. Cardiovascular genetics · 2017
    Article
  5. Article
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

12 authors at 3 institutions in 1 country.

Jennifer R DunganDuke University School of Nursing, Durham, NC, United States of America.ORCID 0000-0002-4863-1616
Xuejun QinDuke University Department of Medicine, Durham, NC, United States of America.
Benjamin D HorneIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, United States of America.
John F CarlquistIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, United States of America.
Abanish SinghBehavioral Medicine Research Center, Duke University Medical Center, Durham, NC, United States of America.
Melissa HurdleDuke University Department of Medicine, Durham, NC, United States of America.
Elizabeth GrassDuke University Department of Medicine, Durham, NC, United States of America.
Carol HaynesDuke University Department of Medicine, Durham, NC, United States of America.
Simon G GregoryDuke University Department of Medicine, Durham, NC, United States of America.
Svati H ShahDuke University Department of Medicine, Durham, NC, United States of America.
Elizabeth R HauserDuke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, United States of America.
William E KrausDuke University Department of Medicine, Durham, NC, United States of America.
Duke University · USUniversity of Utah · USDuke Medical Center · US

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Sarah B. Peskoe · 2006 to 2026
$24.6M
BEHAVIOR AND PHYSIOLOGY IN AGINGT32AG000029 · NIA · DUKE UNIVERSITY · PI Maria Marquine · 1985 to 2026
$9.3M
Expanding Evidence of Genetic Contributions to Survivorship in CADR00NR011054 · NINR · DUKE UNIVERSITY · PI DUNGAN, JENNIFER R · 2011 to 2013
$725k
Survival and Age Biases in Gene Associations with Coronary DiseaseK99NR011054 · NINR · DUKE UNIVERSITY · PI DUNGAN, JENNIFER R · 2009 to 2010
$172k
NIA NIH HHS P30 AG028716NIA NIH HHS T32 AG000029NINR NIH HHS K99 NR011054NINR NIH HHS R00 NR011054
6 · The paper itself

Abstract

Survival bias may unduly impact genetic association with complex diseases; gene-specific survival effects may further complicate such investigations. Coronary artery disease (CAD) is a complex phenotype for which little is understood about gene-specific survival effects; yet, such information can offer insight into refining genetic associations, improving replications, and can provide candidate genes for both mortality risk and improved survivorship in CAD. Building on our previous work, the purpose of this current study was to: evaluate LSAMP SNP-specific hazards for all-cause mortality post-catheterization in a larger cohort of our CAD cases; and, perform additional replication in an independent dataset. We examined two LSAMP SNPs-rs1462845 and rs6788787-using CAD case-only Cox proportional hazards regression for additive genetic effects, censored on time-to-all-cause mortality or last follow-up among Caucasian subjects from the Catheterization Genetics Study (CATHGEN; n = 2,224) and the Intermountain Heart Collaborative Study (IMHC; n = 3,008). Only after controlling for age, sex, body mass index, histories of smoking, type 2 diabetes, hyperlipidemia and hypertension (HR = 1.11, 95%CI = 1.01-1.22, p = 0.032), rs1462845 conferred significantly increased hazards of all-cause mortality among CAD cases. Even after controlling for multiple covariates, but in only the primary cohort, rs6788787 conferred significantly improved survival (HR = 0.80, 95% CI = 0.69-0.92, p = 0.002). Post-hoc analyses further stratifying by sex and disease severity revealed replicated effects for rs1462845: even after adjusting for aforementioned covariates and coronary interventional procedures, males with severe burden of CAD had significantly amplified hazards of death with the minor variant of rs1462845 in both cohorts (HR = 1.29, 95% CI = 1.08-1.55, p = 0.00456; replication HR = 1.25, 95% CI = 1.05-1.49, p = 0.013). Kaplan-Meier curves revealed unique cohort-specific genotype effects on survival. Additional analyses demonstrated that the homozygous risk genotype ('A/A') fully explained the increased hazard in both cohorts. None of the post-hoc analyses in control subjects were significant for any model. This suggests that genetic effects of rs1462845 on survival are unique to CAD presence. This represents formal, replicated evidence of genetic contribution of rs1462845 to increased risk for all-cause mortality; the contribution is unique to CAD case status and specific to males with severe burden of CAD.

Indexed as

GenotypeAdolescentAdultAgedAged, 80 and overChildComorbidityCoronary Artery DiseaseFemaleFollow-Up StudiesGenetic VariationHumansKaplan-Meier EstimateMaleMiddle AgedPolymorphism, Single Nucleotide

Identifiers

PMID27187494
PMCPMC4871369
OpenAlexW2396792185

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.