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

Author:

Maitusong Buamina1,Laguzzi Federica2ORCID,Strawbridge Rona J.345ORCID,Baldassarre Damiano67ORCID,Veglia Fabrizio7ORCID,Humphries Steve E.8ORCID,Savonen Kai910ORCID,Kurl Sudhir11,Pirro Matteo12ORCID,Smit Andries J.13,Giral Philippe14ORCID,Silveira Angela15ORCID,Tremoli Elena7ORCID,Hamsten Anders15,de Faire Ulf2ORCID,Gigante Bruna3ORCID,Leander Karin2ORCID,

Affiliation:

1. Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China (B.M.).

2. Unit of Cardiovascular & Nutritional Epidemiology, Institute of Environmental Medicine (F.L., U.d.F., K.L.), Karolinska Institutet, Stockholm, Sweden.

3. Cardiovascular Medicine Unit, Department of Medicine Solna (R.J.S., B.G.), Karolinska Institutet, Stockholm, Sweden.

4. Mental Health & Wellbeing, Institute of Mental Health & Wellbeing, University of Glasgow (R.J.S.).

5. Health Data Research, United Kingdom (R.J.S.).

6. Department of Medical Biotechnology & Translational Medicine, Università degli Studi di Milano (D.B.).

7. Centro Cardiologico Monzino, IRCCS, Milan, Italy (D.B., F.V., E.T.).

8. Cardiovascular Genetics, Institute Cardiovascular Science, University College London, United Kingdom (S.E.H.).

9. Foundation for Research in Health Exercise & Nutrition, Kuopio & Research Institute of Exercise Medicine, Kuopio, Finland (K.S.)

10. Department of Clinical Physiology & Nuclear Medicine, Kuopio University Hospital (K.S.).

11. Institute of Public Health & Clinical Nutrition, University of Eastern Finland, Kuopio (S.K.).

12. Unit of Internal Medicine, Angiology & Arteriosclerosis Diseases, Department of Medicine, University of Perugia, Italy (M.P.).

13. Department of Medicine, University Medical Center Groningen, the Netherlands (A.J.S.).

14. Unités de Prévention Cardiovasculaire, Assistance Publique-Hôpitaux de Paris, Service Endocrinologie-Métabolisme, Groupe Hospitalier Pitié-Salpétrière, France (P.G.).

15. Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet & Karolinska Hospital, Stockholm, Sweden (A.S., A.H.).

Abstract

Background: Smoking 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. Methods: We 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, P values of <2.4×10 −7 for S were considered significant. The models were adjusted for age, sex, education, physical activity, type of diet, and population stratification. Results: Our 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. Conclusions: Through 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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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