Evidence map›Paper›PMID 37021583›Full record

ArticleCirculation. Genomic and precision medicine2023

Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study.

Buamina Maitusong, Federica Laguzzi, Rona J Strawbridge, Damiano Baldassarre, Fabrizio Veglia, Steve E Humphries, Kai Savonen, Sudhir Kurl, Matteo Pirro, Andries J Smit and 8 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Circulation. Genomic and precision medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

18 authors at 11 institutions in 9 countries.

Buamina Maitusong *Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China (B.M.).
Federica Laguzzi *Unit of Cardiovascular & Nutritional Epidemiology, Institute of Environmental Medicine (F.L., U.d.F., K.L.), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-3551-1348
Rona J StrawbridgeCardiovascular Medicine Unit, Department of Medicine Solna (R.J.S., B.G.), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8506-3585
Damiano BaldassarreDepartment of Medical Biotechnology & Translational Medicine, Università degli Studi di Milano (D.B.).ORCID 0000-0002-2766-8882
Fabrizio VegliaCentro Cardiologico Monzino, IRCCS, Milan, Italy (D.B., F.V., E.T.).ORCID 0000-0002-9378-8874
Steve E HumphriesCardiovascular Genetics, Institute Cardiovascular Science, University College London, United Kingdom (S.E.H.).ORCID 0000-0002-8221-6547
Kai SavonenFoundation for Research in Health Exercise & Nutrition, Kuopio & Research Institute of Exercise Medicine, Kuopio, Finland (K.S.).ORCID 0000-0002-6871-8153
Sudhir KurlInstitute of Public Health & Clinical Nutrition, University of Eastern Finland, Kuopio (S.K.).
Matteo PirroUnit of Internal Medicine, Angiology & Arteriosclerosis Diseases, Department of Medicine, University of Perugia, Italy (M.P.).ORCID 0000-0002-5527-4821
Andries J SmitDepartment of Medicine, University Medical Center Groningen, the Netherlands (A.J.S.).
Philippe GiralUnités de Prévention Cardiovasculaire, Assistance Publique-Hôpitaux de Paris, Service Endocrinologie-Métabolisme, Groupe Hospitalier Pitié-Salpétrière, France (P.G.).ORCID 0000-0002-1863-1711
Angela SilveiraCardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet & Karolinska Hospital, Stockholm, Sweden (A.S., A.H.).ORCID 0000-0003-2063-4935
Elena TremoliCentro Cardiologico Monzino, IRCCS, Milan, Italy (D.B., F.V., E.T.).ORCID 0000-0002-0929-6106
Anders HamstenCardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet & Karolinska Hospital, Stockholm, Sweden (A.S., A.H.).
Ulf de FaireUnit of Cardiovascular & Nutritional Epidemiology, Institute of Environmental Medicine (F.L., U.d.F., K.L.), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6000-3698
Bruna GiganteCardiovascular Medicine Unit, Department of Medicine Solna (R.J.S., B.G.), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-4508-7990
Karin LeanderUnit of Cardiovascular & Nutritional Epidemiology, Institute of Environmental Medicine (F.L., U.d.F., K.L.), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-1404-9222
IMPROVE Study group
Karolinska Institutet · SECentro Cardiologico Monzino · ITKarolinska University Hospital · SEUniversity of Eastern Finland · FICardiovascular Institute of the South · USPublic Health Agency of Sweden · SESorbonne Université · FRUniversity Medical Center Groningen · NLUniversity of Milan · ITUniversity of Perugia · ITXinjiang Medical University · CN

Funding

Medical Research Council MR/S003061/1
6 · The paper itself

Abstract

backgroundSmoking is associated with carotid intima-media thickness (C-IMT). However, knowledge about how genetics may influence this association is limited. We aimed to perform nonhypothesis driven gene-smoking interaction analyses to identify potential genetic variants, among those included in immune and metabolic platforms, that may modify the effect of smoking on carotid intima-media thickness.

methodsWe used baseline data from 1551 men and 1700 women, aged 55 to 79, included in a European multi-center study. Carotid intima-media thickness maximum, the maximum of values measured at different locations of the carotid tree, was dichotomized with cut point values ≥75, respectively. Genetic data were retrieved through use of the Illumina Cardio-Metabo- and Immuno- Chips. Gene-smoking interactions were evaluated through calculations of Synergy index (S). After adjustments for multiple testing,

resultsOur screening of 207 586 SNPs available for analysis, resulted in the identification of 47 significant gene-smoking synergistic interactions in relation to carotid intima-media thickness maximum. Among the significant SNPs, 28 were in protein coding genes, 2 in noncoding RNA and the remaining 17 in intergenic regions.

conclusionsThrough nonhypothesis-driven analyses of gene-smoking interactions, several significant results were observed. These may stimulate further research on the role of specific genes in the process that determines the effect of smoking habits on the development of carotid atherosclerosis.

Indexed as

AtherosclerosisSmokingCarotid Intima-Media ThicknessCross-Sectional StudiesFemaleHumansMaleRisk Factorscarotid intima-media thicknessepidemiologic studiesgene-environment interactionpolymorphism, single nucleotidesmoking

Identifiers

PMID37021583
PMCPMC10284137
OpenAlexW4362657034

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.