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Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study
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 me...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284137/ https://www.ncbi.nlm.nih.gov/pubmed/37021583 http://dx.doi.org/10.1161/CIRCGEN.122.003710 |
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author | Maitusong, Buamina Laguzzi, Federica Strawbridge, Rona J. Baldassarre, Damiano Veglia, Fabrizio Humphries, Steve E. Savonen, Kai Kurl, Sudhir Pirro, Matteo Smit, Andries J. Giral, Philippe Silveira, Angela Tremoli, Elena Hamsten, Anders de Faire, Ulf Gigante, Bruna Leander, Karin |
author_facet | Maitusong, Buamina Laguzzi, Federica Strawbridge, Rona J. Baldassarre, Damiano Veglia, Fabrizio Humphries, Steve E. Savonen, Kai Kurl, Sudhir Pirro, Matteo Smit, Andries J. Giral, Philippe Silveira, Angela Tremoli, Elena Hamsten, Anders de Faire, Ulf Gigante, Bruna Leander, Karin |
author_sort | Maitusong, Buamina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10284137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102841372023-06-22 Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study Maitusong, Buamina Laguzzi, Federica Strawbridge, Rona J. Baldassarre, Damiano Veglia, Fabrizio Humphries, Steve E. Savonen, Kai Kurl, Sudhir Pirro, Matteo Smit, Andries J. Giral, Philippe Silveira, Angela Tremoli, Elena Hamsten, Anders de Faire, Ulf Gigante, Bruna Leander, Karin Circ Genom Precis Med Original Articles 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. Lippincott Williams & Wilkins 2023-04-06 2023-06 /pmc/articles/PMC10284137/ /pubmed/37021583 http://dx.doi.org/10.1161/CIRCGEN.122.003710 Text en © 2023 The Authors. https://creativecommons.org/licenses/by-nc-nd/4.0/Circulation: Genomic and Precision Medicine is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made. |
spellingShingle | Original Articles Maitusong, Buamina Laguzzi, Federica Strawbridge, Rona J. Baldassarre, Damiano Veglia, Fabrizio Humphries, Steve E. Savonen, Kai Kurl, Sudhir Pirro, Matteo Smit, Andries J. Giral, Philippe Silveira, Angela Tremoli, Elena Hamsten, Anders de Faire, Ulf Gigante, Bruna Leander, Karin Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study |
title | Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study |
title_full | Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study |
title_fullStr | Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study |
title_full_unstemmed | Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study |
title_short | Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study |
title_sort | cross-sectional gene-smoking interaction analysis in relation to subclinical atherosclerosis-results from the improve study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284137/ https://www.ncbi.nlm.nih.gov/pubmed/37021583 http://dx.doi.org/10.1161/CIRCGEN.122.003710 |
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