Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits
Background: Gene-lifestyle interaction studies using genome-wide association studies (GWAS) data contribute to a better understanding of individual responses to environmental exposures. Objectives: Herein, we aimed at assessing the biological significance of overlapping genes reported in gene-lifest...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Karger Publishers
2023-06-01
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| Series: | Lifestyle Genomics |
| Subjects: | |
| Online Access: | https://beta.karger.com/Article/FullText/531181 |
| _version_ | 1797776577098940416 |
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| author | Rodrigo San-Cristobal Juan de Toro-Martín Marie-Claude Vohl |
| author_facet | Rodrigo San-Cristobal Juan de Toro-Martín Marie-Claude Vohl |
| author_sort | Rodrigo San-Cristobal |
| collection | DOAJ |
| description | Background: Gene-lifestyle interaction studies using genome-wide association studies (GWAS) data contribute to a better understanding of individual responses to environmental exposures. Objectives: Herein, we aimed at assessing the biological significance of overlapping genes reported in gene-lifestyle interaction studies in cardiometabolic health. Method: A heuristic analysis of genes reporting significant interactions related to cardiometabolic traits was performed to determine the biological pathways common to the different traits. Results: A total of 873 genes were analyzed. Fine and condensed phenotypic solutions were obtained from overlapping genes common to more than one trait. Conclusions: This study revealed significant metabolic pathways associated with the impact of gene-environment interactions on cardiometabolic risk. Graphical Abstract: Publicly available data in cloud-based repositories were used to perform enrichment analyses of genes previously described in GWAS studies that showed interaction with lifestyles. From the enriched pathways, cluster analysis was performed to group enriched metabolic disorders. |
| first_indexed | 2024-03-12T22:52:50Z |
| format | Article |
| id | doaj.art-40c35711125848cdbc5953db6642c49a |
| institution | Directory Open Access Journal |
| issn | 2504-3161 2504-3188 |
| language | English |
| last_indexed | 2024-03-12T22:52:50Z |
| publishDate | 2023-06-01 |
| publisher | Karger Publishers |
| record_format | Article |
| series | Lifestyle Genomics |
| spelling | doaj.art-40c35711125848cdbc5953db6642c49a2023-07-20T07:26:12ZengKarger PublishersLifestyle Genomics2504-31612504-31882023-06-011110.1159/000531181531181Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic TraitsRodrigo San-Cristobal0https://orcid.org/0000-0001-8054-6553Juan de Toro-Martín1Marie-Claude Vohl2Centre Nutrition, Santé et société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec, QC, CanadaCentre Nutrition, Santé et société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec, QC, CanadaCentre Nutrition, Santé et société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec, QC, CanadaBackground: Gene-lifestyle interaction studies using genome-wide association studies (GWAS) data contribute to a better understanding of individual responses to environmental exposures. Objectives: Herein, we aimed at assessing the biological significance of overlapping genes reported in gene-lifestyle interaction studies in cardiometabolic health. Method: A heuristic analysis of genes reporting significant interactions related to cardiometabolic traits was performed to determine the biological pathways common to the different traits. Results: A total of 873 genes were analyzed. Fine and condensed phenotypic solutions were obtained from overlapping genes common to more than one trait. Conclusions: This study revealed significant metabolic pathways associated with the impact of gene-environment interactions on cardiometabolic risk. Graphical Abstract: Publicly available data in cloud-based repositories were used to perform enrichment analyses of genes previously described in GWAS studies that showed interaction with lifestyles. From the enriched pathways, cluster analysis was performed to group enriched metabolic disorders.https://beta.karger.com/Article/FullText/531181gene-lifestyle interactiongenome-wide interaction studyprecision nutritioncardiometabolic healthheuristic analysis |
| spellingShingle | Rodrigo San-Cristobal Juan de Toro-Martín Marie-Claude Vohl Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits Lifestyle Genomics gene-lifestyle interaction genome-wide interaction study precision nutrition cardiometabolic health heuristic analysis |
| title | Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits |
| title_full | Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits |
| title_fullStr | Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits |
| title_full_unstemmed | Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits |
| title_short | Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits |
| title_sort | heuristic approach uncovering biological significance of gene lifestyle interactions in cardiometabolic traits |
| topic | gene-lifestyle interaction genome-wide interaction study precision nutrition cardiometabolic health heuristic analysis |
| url | https://beta.karger.com/Article/FullText/531181 |
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