Evidence map›Paper›PMID 21414469›Full record

SynthesisProgress in cardiovascular diseases

Gene-air pollution interaction and cardiovascular disease: a review.

Antonella Zanobetti, Andrea Baccarelli, Joel Schwartz

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 96 citations in OpenAlex.

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  16. Meta-Analysis ofToxics · 2018
    Article
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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

3 authors at 1 institution in 1 country.

Antonella ZanobettiDepartment of Environmental Health, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA 02115, USA. azanobet@hsph.harvard.edu
Andrea Baccarelli
Joel Schwartz
Harvard University · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Effect of Ambient Particles on Acute Stroke OnsetP01ES009825 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DOCKERY, DOUGLAS W · 1999 to 2009
$17.4M
Epigenetic Effects of Particles and Metals on Cardiac Health of an Aging CohortR01ES015172 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2006 to 2015
$4.8M
NIEHS NIH HHS ES000002NIEHS NIH HHS P01 ES009825NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES015172NIEHS NIH HHS R01-ES015172
6 · The paper itself

Abstract

Genetic susceptibility is likely to play a role in response to air pollution. Hence, gene-environment interaction studies can be a tool for exploring the mechanisms and the importance of the pathway in the association between air pollution and a cardiovascular outcome. In this article, we present a systematic review of the studies that have examined gene-environment interactions in relation to the cardiovascular health effects of air pollutants. We identified 16 articles meeting our search criteria. Of these studies, most have focused on individual functional polymorphisms or individual candidate genes. Moreover, they were all based on 3 study populations that have been extensively investigated in relation to air pollution effects: the Normative Aging Study, Air Pollution and Inflammatory Response in Myocardial Infarction Survivors: Gene-Environment Interaction in a High Risk Group, and Multiethnic Study of Atherosclerosis. In conclusions, the studies differed substantially in both the cardiovascular outcomes examined and the polymorphisms examined, so there is little confirmation of results across cohorts. Gene-environment interaction studies can help explore the mechanisms and the potential pathway in the association between air pollution and a cardiovascular outcome; replication of findings and studies involving multiple cohorts would be needed to draw stronger conclusions.

Indexed as

Cardiovascular DiseasesEvidence-Based MedicineGenetic Association StudiesGenetic Predisposition to DiseaseHumansInhalation ExposureMutationParticulate MatterPhenotypePolymorphism, GeneticRisk AssessmentRisk FactorsParticulate Matter

Identifiers

PMID21414469
PMCPMC3073822
OpenAlexW2146631960

What OpenQuestion holds

Textmetadata
LicenceTDM
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.