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Radhika A, Burgula S, Badapanda C, Hussain T, Naushad SM. Elucidation of genetic determinants of dyslipidaemia using a global screening array for the early detection of coronary artery disease. Mamm Genome 2023; 34:632-643. [PMID: 37668737 DOI: 10.1007/s00335-023-10017-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 08/16/2023] [Indexed: 09/06/2023]
Abstract
Dyslipidemia is a major risk factor for the development of coronary artery disease (CAD). Understanding the genetic determinants of dyslipidemia can provide valuable information on the pathogenesis of CAD and aid in the development of early detection strategies. In this study, we used a Global Screening Array (GSA) to elucidate the genetic factors associated with dyslipidemia and their potential role in the prediction of CAD. We conducted a GSA-based association study in 265 subjects to identify the genetic loci associated with dyslipidemia traits using Multiple Linear Regression (MLR) and Logistic Regression (LR), Classification and Regression Tree (CART), and Manhattan plots. We identified an association between dyslipidemia and variants identified in genes such as JCAD, GLIS3, CD38, FN1, CELSR2, MTNR1B, GIPR, DYM, APOB, APOE, ADCY5. The MLR models explained 62%, 71%, and 81% of the variability in HDL, LDL, and triglycerides, respectively. The Area Under the Curve (AUC) values in the LR models of HDL, LDL, and triglycerides were 1.00, 0.94, and 0.95, respectively. CART models identified novel gene-gene interactions influencing the risk for dyslipidemia. To conclude, we have identified the association of 12 SNVs with dyslipidemia and demonstrated their clinical utility in four different models such as MLR, LR, CART, and Manhattan plots. The identified genetic variants and associated pathways shed light on the underlying biology of dyslipidemia and offer potential avenues for precision medicine strategies in the management of CAD.
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Affiliation(s)
- Ananthaneni Radhika
- Genomics Division, Yoda Lifeline Diagnostics Pvt Ltd, 6-3-862/A, Lal Bungalow Add On, Ameerpet, Hyderabad, 500016, India
- Department of Microbiology, Osmania University, Taranaka, Hyderabad, 500007, India
| | - Sandeepta Burgula
- Department of Microbiology, Osmania University, Taranaka, Hyderabad, 500007, India.
| | - Chandan Badapanda
- Genomics Division, Yoda Lifeline Diagnostics Pvt Ltd, 6-3-862/A, Lal Bungalow Add On, Ameerpet, Hyderabad, 500016, India
| | - Tajamul Hussain
- Research Chair for Biomedical Applications of Nanomaterials, Biochemistry Department, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
- Center of Excellence in Biotechnology Research, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Shaik Mohammad Naushad
- Genomics Division, Yoda Lifeline Diagnostics Pvt Ltd, 6-3-862/A, Lal Bungalow Add On, Ameerpet, Hyderabad, 500016, India.
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Kopylova OV, Ershova AI, Efimova IA, Blokhina AV, Limonova AS, Borisova AL, Pokrovskaya MS, Drapkina OM. Electronic medical records and biobanking. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2022. [DOI: 10.15829/1728-8800-2022-3425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Biosample preservation for future research is a fundamental component of translational medicine. At the same time, the value of stored biosamples is largely determined by the presence of related clinical data and other information. Electronic medical records are a unique source of a large amount of information received over a long period of time. In this regard, genetic and other types of data obtained from the biosample analysis can be associated with phenotypic and other types of information stored in electronic medical records, which pushes the boundaries in large-scale genetic research and improves healthcare. The aim of this review was to analyze the literature on the potential of combining electronic medical records and biobank databases in research and clinical practice.
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Affiliation(s)
- O. V. Kopylova
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. I. Ershova
- National Medical Research Center for Therapy and Preventive Medicine
| | - I. A. Efimova
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. V. Blokhina
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. S. Limonova
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. L. Borisova
- National Medical Research Center for Therapy and Preventive Medicine
| | - M. S. Pokrovskaya
- National Medical Research Center for Therapy and Preventive Medicine
| | - O. M. Drapkina
- National Medical Research Center for Therapy and Preventive Medicine
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Alcala-Diaz JF, Arenas-de Larriva AP, Torres-Peña JD, Rodriguez-Cantalejo F, Rangel-Zuñiga OA, Yubero-Serrano EM, Gutierrez-Mariscal FM, Cardelo MP, Luque RM, Ordovas JM, Perez-Martinez P, Delgado-Lista J, Lopez-Miranda J. A Gene Variation at the ZPR1 Locus (rs964184) Interacts With the Type of Diet to Modulate Postprandial Triglycerides in Patients With Coronary Artery Disease: From the Coronary Diet Intervention With Olive Oil and Cardiovascular Prevention Study. Front Nutr 2022; 9:885256. [PMID: 35782928 PMCID: PMC9247506 DOI: 10.3389/fnut.2022.885256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 05/09/2022] [Indexed: 11/22/2022] Open
Abstract
Background and Aims rs964184 variant in the ZPR1 gene has been associated with blood lipids levels both in fasting and postprandial state and with the risk of myocardial infarction in high-risk cardiovascular patients. However, whether this association is modulated by diet has not been studied. Objective To investigate whether the type of diet (low-fat or Mediterranean diets) interacts with genetic variability at this loci to modulate fasting and postprandial lipids in coronary patients. Materials and Methods The genotype of the rs964184 polymorphism was determined in the Cordioprev Study population (NCT00924937). Fasting and Postprandial triglycerides were assessed before and after 3 years of dietary intervention with either a Mediterranean or a low-fat diet. Postprandial lipid assessment was done by a 4-h oral fat tolerance test (OFTT). Differences in triglycerides levels were identified using repeated-measures ANCOVA. Results From 523 patients (85% males, mean age 59 years) that completed the OFTT at baseline and after 3 years of intervention and had complete genotype information, 125 of them were carriers of the risk allele G. At the start of the study, these patients showed a higher fasting and postprandial triglycerides (TG) plasma levels. After 3 years of dietary intervention, G-carriers following a Mediterranean Diet maintained higher fasting and postprandial triglycerides, while those on the low-fat diet reduced their postprandial triglycerides to similar values to the population without the G-allele. Conclusion After 3 years of dietary intervention, the altered postprandial triglyceride response induced by genetic variability in the rs964184 polymorphism of the ZPR1 gene can be modulated by a low-fat diet, better than by a Mediterranean diet, in patients with coronary artery disease.
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Affiliation(s)
- Juan F. Alcala-Diaz
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio P. Arenas-de Larriva
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jose D. Torres-Peña
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Oriol A. Rangel-Zuñiga
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Elena M. Yubero-Serrano
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco M. Gutierrez-Mariscal
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Magdalena P. Cardelo
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Raul M. Luque
- Department of Cell Biology, Physiology, and Immunology, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
| | - Jose M. Ordovas
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
- Instituto Madrileño de Estudios Avanzados en Alimentación (IMDEA-Food), Madrid, Spain
- International Advisory Board, University Camilo José Cela, Madrid, Spain
| | - Pablo Perez-Martinez
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jose Lopez-Miranda
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- *Correspondence: Jose Lopez-Miranda,
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