Evidence map›Paper›PMID 31293107›Full record

ArticleMolecular genetics & genomic medicine2019

Effect of gene-gene and gene-environment interaction on the risk of first-ever stroke and poststroke death.

Congrui Feng, Yunyun Yang, Shujun Yang, Xin Tu, Yibo Wang, Yiqing Song, Rutai Hui, Weili Zhang

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 4 institutions in 2 countries.

Congrui FengBeijing Institute for Brain Disorders, Center for Brain Disorders Research, Capital Medical University, Beijing, China.
Yunyun YangState Key Laboratory of Cardiovascular Disease, Hypertension Center, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, China.
Shujun YangState Key Laboratory of Cardiovascular Disease, Hypertension Center, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, China.
Xin TuCollege of Life Science and Technology, Human Genome Research Center, Huazhong University of Science and Technology, Hubei, China.
Yibo WangState Key Laboratory of Cardiovascular Disease, Hypertension Center, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, China.
Yiqing SongDepartment of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN.
Rutai HuiState Key Laboratory of Cardiovascular Disease, Hypertension Center, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, China.
Weili ZhangState Key Laboratory of Cardiovascular Disease, Hypertension Center, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, China.ORCID 0000-0002-1862-1492
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CNHuazhong University of Science and Technology Hospital · CNIndiana University – Purdue University Indianapolis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple genetic and environmental factors contribute to the individual-level heterogeneity in stroke. This study aimed to assess how the genetic interactions confer risk of stroke.

methodsIn a Chinese case-control study including 1,405 strokes and 1,263 controls who were followed up (range, 0.1-6.0 years), eight genes, including apolipoprotein(a) (APOA1), methylenetetrahydrofolate reductase (MTHFR), vitamin K epoxide reductase complex subunit 1 (VKORC1), arachidonate 5-lipoxygenase-activating protein (ALOX5AP), NOTCH3, chromosome 9p21.3(Chr.9p21.3), vascular endothelial growth factor (VEGFA), and kinase insert domain-containing receptor (KDR), were analyzed for interactions by the generalized multifactor dimensionality reduction method and validated by the multivariate logistic regression models. The genetic associations with carotid artery intima-media thickness (IMT) were examined.

resultsThe interaction of VKORC1 and Chr.9p21.3 was identified for stroke and its worse prognosis, and subjects having the VKORC1 rs2359612C and Chr.9p21.3 rs10757274G alleles had higher risks for stroke (OR = 1.83, 95% CI = 1.32-2.52) as well as for stroke recurrence (HR = 1.84, 95% CI = 1.24-2.73), cardiovascular events (HR = 1.65, 95% CI = 1.15-2.38), and cardiovascular mortality (HR = 2.16, 95% CI = 1.24-3.79). Supporting, they were associated with higher IMT. Hypertension or physical inactivity increased the risk effect. The interaction of VEGFA rs833061C and KDR rs2305948T was identified for hemorrhagic stroke.

conclusionsOur findings identified two novel genetic interactions of VKORC1 and Chr.9p21.3 and of VEGFA and KDR for risk of stroke and subtypes as well as future stroke prognosis.

Indexed as

Gene-Environment InteractionGenetic Predisposition to DiseaseAgedAlcohol DrinkingCarotid Intima-Media ThicknessCase-Control StudiesChinaChromosomes, Human, Pair 9FemaleFollow-Up StudiesHumansHypertensionMaleMiddle AgedOverweightPolymorphism, Single NucleotideKDR protein, humanVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-2VEGFA protein, humanVitamin K Epoxide ReductasesVKORC1 protein, humancase-control studygene-gene interactiongeneticsrisk factorsstroke

Identifiers

PMID31293107
PMCPMC6687633
OpenAlexW2961762668

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.