Nutritional habits, lifestyle, and genetic predisposition in cardiovascular and metabolic traits in Turkish population

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dc.authoridPolimanti, Renato -- 0000-0003-0745-6046;
dc.contributor.authorKaraca, Şefayet
dc.contributor.authorErge, Sema
dc.contributor.authorCesuroğlu, Tomris
dc.contributor.authorPolimanti, Renato
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-29T19:28:50Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-29T19:28:50Z
dc.date.issued2016
dc.departmentSağlık Bilimleri Fakültesi
dc.description.abstractObjectives: Cardiovascular and metabolic traits (CMT) are influenced by complex interactive processes including diet, lifestyle, and genetic predisposition. The present study investigated the interactions of these risk factors in relation to CMTs in the Turkish population. Methods: We applied bootstrap agglomerative hierarchical clustering and Bayesian network learning algorithms to identify the causative relationships among genes involved in different biological mechanisms (i.e., lipid metabolism, hormone metabolism, cellular detoxification, aging, and energy metabolism), lifestyle (i.e., physical activity, smoking behavior, and metropolitan residency), anthropometric traits (i.e., body mass index, body fat ratio, and waist-to-hip ratio), and dietary habits (i.e., daily intakes of macro- and micronutrients) in relation to CMTs (i.e., health conditions and blood parameters). Results: We identified significant correlations between dietary habits (soybean and vitamin B12 intakes) and different cardiometabolic diseases that were confirmed by the Bayesian network learning algorithm. Genetic factors contributed to these disease risks also through the pleiotropy of some genetic variants (i.e., F5 rs6025 and MTR rs180508). However, we also observed that certain genetic associations are indirect since they are due to the causative relationships among the CMTs (e.g., APOC3 rs5128 is associated with low-density lipoproteins cholesterol and, by extension, total cholesterol). Conclusions: Our study applied a novel approach to integrate various sources of information and dissect the complex interactive processes related to CMTs. Our data indicated that complex causative networks are present: causative relationships exist among CMTs and are affected by genetic factors (with pleiotropic and non-pleiotropic effects) and dietary habits. (C) 2016 Elsevier Inc. All rights reserved.
dc.description.sponsorshipproject OBESIS-Development of a Genetic and Information Technologies Assisted System on Obesity Treatment and Control - TEYDEP/TUBITAK [3060480]
dc.description.sponsorshipS.K and S.E. contributed equally to this work. This research was a part of the GENTEST model and partially funded by the project OBESIS-Development of a Genetic and Information Technologies Assisted System on Obesity Treatment and Control (Funded by The TEYDEP/TUBITAK; Project no: 3060480). We are greatly indebted to Dr. Serdar Savas for his great contribution to the development of the GENTEST Model. GENTEST was identified as a "Best Practice Model in Europe for Public Health Genomics" by the Public Health Genomics European Network (PHGEN). We would also like to thank the staff members of the GENAR Molecular Biology and Genetics Research and Application Laboratories for their assistance. The authors declare no conflict of interest.
dc.identifier.doi10.1016/j.nut.2015.12.027
dc.identifier.endpage701en_US
dc.identifier.issn0899-9007
dc.identifier.issn1873-1244
dc.identifier.issue6en_US
dc.identifier.pmid26856649
dc.identifier.scopusqualityQ1
dc.identifier.startpage693en_US
dc.identifier.urihttps://doi.org/10.1016/j.nut.2015.12.027
dc.identifier.urihttps://hdl.handle.net/20.500.12451/6092
dc.identifier.volume32en_US
dc.identifier.wosWOS:000375371700013
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofNutrition
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCardiometabolic Traits
dc.subjectGenetic Predisposition
dc.subjectDiet
dc.subjectInteractive Mechanisms
dc.subjectTurkey
dc.titleNutritional habits, lifestyle, and genetic predisposition in cardiovascular and metabolic traits in Turkish population
dc.typeArticle

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