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Vourdoumpa A, Paltoglou G, Charmandari E. The Genetic Basis of Childhood Obesity: A Systematic Review. Nutrients 2023; 15:1416. [PMID: 36986146 PMCID: PMC10058966 DOI: 10.3390/nu15061416] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 03/05/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Overweight and obesity in childhood and adolescence represents one of the most challenging public health problems of our century owing to its epidemic proportions and the associated significant morbidity, mortality, and increase in public health costs. The pathogenesis of polygenic obesity is multifactorial and is due to the interaction among genetic, epigenetic, and environmental factors. More than 1100 independent genetic loci associated with obesity traits have been currently identified, and there is great interest in the decoding of their biological functions and the gene-environment interaction. The present study aimed to systematically review the scientific evidence and to explore the relation of single-nucleotide polymorphisms (SNPs) and copy number variants (CNVs) with changes in body mass index (BMI) and other measures of body composition in children and adolescents with obesity, as well as their response to lifestyle interventions. Twenty-seven studies were included in the qualitative synthesis, which consisted of 7928 overweight/obese children and adolescents at different stages of pubertal development who underwent multidisciplinary management. The effect of polymorphisms in 92 different genes was assessed and revealed SNPs in 24 genetic loci significantly associated with BMI and/or body composition change, which contribute to the complex metabolic imbalance of obesity, including the regulation of appetite and energy balance, the homeostasis of glucose, lipid, and adipose tissue, as well as their interactions. The decoding of the genetic and molecular/cellular pathophysiology of obesity and the gene-environment interactions, alongside with the individual genotype, will enable us to design targeted and personalized preventive and management interventions for obesity early in life.
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Affiliation(s)
- Aikaterini Vourdoumpa
- Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, National and Kapodistrian University of Athens Medical School, ‘Aghia Sophia’ Children’s Hospital, 11527 Athens, Greece
| | - George Paltoglou
- Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, National and Kapodistrian University of Athens Medical School, ‘Aghia Sophia’ Children’s Hospital, 11527 Athens, Greece
| | - Evangelia Charmandari
- Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, National and Kapodistrian University of Athens Medical School, ‘Aghia Sophia’ Children’s Hospital, 11527 Athens, Greece
- Division of Endocrinology and Metabolism, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
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Rawat P, Sehar U, Bisht J, Reddy PH. Support Provided by Caregivers for Community-Dwelling Diabetic Hispanic Adults with Intellectual Disabilities and Comorbid Conditions. Int J Mol Sci 2023; 24:3848. [PMID: 36835260 PMCID: PMC9962604 DOI: 10.3390/ijms24043848] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
Diabetes is an age-related chronic health condition and a major public health concern. Diabetes is one of the significant causes of morbidity and mortality and a major contributing factor to dementia. Recent research reveals that Hispanic Americans are at an increased risk of chronic conditions such as diabetes, dementia, and obesity. Recent research also revealed that diabetes develops at least ten years earlier in Hispanics and Latinos than in neighboring non-Hispanic whites. Furthermore, the management of diabetes and providing necessary/timely support is a challenging task for healthcare professionals. Caregiver support is an emerging area of research for people with diabetes, mainly family caregiver support work for Hispanic and Native Americans. Our article discusses several aspects of diabetes, factors associated with diabetes among Hispanics, its management, and how caregivers can support individuals with diabetes.
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Affiliation(s)
- Priyanka Rawat
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Ujala Sehar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Jasbir Bisht
- Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - P. Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Department of Public Health, School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Neurology Department, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Nutritional Sciences Department, College of Human Sciences, Texas Tech University, Lubbock, TX 79409, USA
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Selman A, Burns S, Reddy AP, Culberson J, Reddy PH. The Role of Obesity and Diabetes in Dementia. Int J Mol Sci 2022; 23:ijms23169267. [PMID: 36012526 PMCID: PMC9408882 DOI: 10.3390/ijms23169267] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 08/11/2022] [Accepted: 08/15/2022] [Indexed: 12/06/2022] Open
Abstract
Chronic conditions such as obesity, diabetes, and dementia are increasing in the United States (US) population. Knowledge of these chronic conditions, preventative measures, and proper management tactics is important and critical to preventing disease. The overlap between obesity, diabetes, and dementia is becoming further elucidated. These conditions share a similar origin through the components of increasing age, gender, genetic and epigenetic predispositions, depression, and a high-fat Western diet (WD) that all contribute to the inflammatory state associated with the development of obesity, diabetes, and dementia. This inflammatory state leads to the dysregulation of food intake and insulin resistance. Obesity is often the cornerstone that leads to the development of diabetes and, subsequently, in the case of type 2 diabetes mellitus (T2DM), progression to “type 3 diabetes mellitus (T3DM)”. Obesity and depression are closely associated with diabetes. However, dementia can be avoided with lifestyle modifications, by switching to a plant-based diet (e.g., a Mediterranean diet (MD)), and increasing physical activity. Diet and exercise are not the only treatment options. There are several surgical and pharmacological interventions available for prevention. Current and future research within each of these fields is warranted and offers the chance for new treatment options and a better understanding of the pathogenesis of each condition.
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Affiliation(s)
- Ashley Selman
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Scott Burns
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Arubala P. Reddy
- Nutritional Sciences Department, College Human Sciences, Texas Tech University, Lubbock, TX 79409, USA
| | - John Culberson
- Department of Family Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - P. Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Nutritional Sciences Department, College Human Sciences, Texas Tech University, Lubbock, TX 79409, USA
- Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Department of Neurology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Department of Public Health, Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Department of Speech, Language, and Hearing Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Correspondence: ; Tel.: +1-806-743-3194
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4
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Boiko AS, Pozhidaev IV, Paderina DZ, Mednova IA, Goncharova AA, Fedorenko OY, Kornetova EG, Semke AV, Bokhan NA, Loonen AJM, Ivanova SA. Gene Polymorphisms of Hormonal Regulators of Metabolism in Patients with Schizophrenia with Metabolic Syndrome. Genes (Basel) 2022; 13:genes13050844. [PMID: 35627229 PMCID: PMC9141866 DOI: 10.3390/genes13050844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/04/2022] [Accepted: 05/06/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Metabolic syndrome (MetS) is a common complication of long-term treatment of persons with schizophrenia taking (atypical) antipsychotics. In this study, we investigated the existence of an association with polymorphisms of genes for four hormones that regulate energy metabolism. Methods: We recruited 517 clinically admitted white patients (269M/248F) with a verified diagnosis of schizophrenia (ICD-10) and with a stable physical condition. Participants were classified for having or not having MetS and genotyped for 20 single-nucleotide polymorphisms (SNPs) in the genes encoding insulin-induced gene 2 (INSIG2), ghrelin (GHRL), leptin (LEP), and leptin receptor (LEPR). Results: The 139 patients (26.9%) with MetS were significantly more likely to be women, older, and ill longer, and had a larger body mass index (BMI). Four polymorphisms (rs10490624, rs17587100, rs9308762, and rs10490816) did not meet the Hardy–Weinberg equilibrium (HWE) criterion and were excluded. Only genotypes and alleles of the rs3828942 of LEP gene (chi2 = 7.665, p = 0.022; chi2 = 5.136, p = 0.023) and the genotypes of the rs17047718 of INSIG2 gene (chi2 = 7.7, p = 0.021) had a significant association with MetS. Conclusions: The results of our study suggest that the LEP and INSIG2 genes play a certain causal role in the development of MetS in patients with schizophrenia.
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Affiliation(s)
- Anastasiia S. Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Ivan V. Pozhidaev
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Diana Z. Paderina
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Irina A. Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Anastasya A. Goncharova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Olga Yu. Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Elena G. Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
| | - Arkadiy V. Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Nikolay A. Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
| | - Anton J. M. Loonen
- Unit of PharmacoTherapy, -Epidemiology, and -Economics, Groningen Research Institute of Pharmacy, Faculty of Science and Engineering, University of Groningen, 9713AV Groningen, The Netherlands
- Correspondence:
| | - Svetlana A. Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
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SAINI SIMMI, WALIA GAGANDEEPKAUR, SACHDEVA MOHINDERPAL, GUPTA VIPIN. Genomics of body fat distribution. J Genet 2021. [DOI: 10.1007/s12041-021-01281-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Adolescent obesity in the past decade: A systematic review of genetics and determinants of food choice. J Am Assoc Nurse Pract 2019; 31:344-351. [PMID: 31157651 PMCID: PMC6716557 DOI: 10.1097/jxx.0000000000000154] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Background and purpose: As the incidence of global obesity increases, concerns about adverse health outcomes in adolescents continues to rise. The complexity and expense of this problem require early recognition and specific preventive treatments. Knowledge of genetics and determinants of food choices contributing to adolescent obesity warrants further examination. The primary goal was to appraise the literature from the past decade (2007–2017) on the current state of food choice and genetic determinants of adolescent overweight/obesity in the United States. The secondary goal was to determine trends in the literature and areas for future research. Methods: A systematic review of research studies in the United States from 2007 to 2017 was completed. Database searches were conducted using CINAHL, Embase, PsycINFO, PsycArticles, PubMed, Scopus, Academic Search Complete, Web of Science, BIOSIS, and the Cochrane Library. A total of 535 studies were selected. Of these, 283 studies focused on determinants of food choices and 165 studies focused on genetic factors. Conclusions: A total of 41 full-text articles included in this literature review contained studies limited exclusively to adolescents. Stress factors related to food choices demonstrated a new trend being explored. The need for precision health, the application of genetic information, could uncover ways food choices affect adolescent obesity. Implications for practice: The etiology of adolescent obesity requires that nurses gain knowledge of genetics and food choice determinants to inform personalized treatments for adolescents, which may establish effective interventions that promote healthy weight achievement.
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Aguayo-Mazzucato C, Diaque P, Hernandez S, Rosas S, Kostic A, Caballero AE. Understanding the growing epidemic of type 2 diabetes in the Hispanic population living in the United States. Diabetes Metab Res Rev 2019; 35:e3097. [PMID: 30445663 PMCID: PMC6953173 DOI: 10.1002/dmrr.3097] [Citation(s) in RCA: 109] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 11/12/2018] [Accepted: 11/13/2018] [Indexed: 12/15/2022]
Abstract
The prevalence and incidence of type 2 diabetes (T2D) among the Hispanic population in the United States are higher than the national average. This is partly due to sociocultural factors, such as lower income and decreased access to education and health care, as well as a genetic susceptibility to obesity and higher insulin resistance. This review focuses on understanding the Hispanic population living in the United States from a multidisciplinary approach and underlines the importance of cultural, social, and biological factors in determining the increased risk of T2D in this population. An overview of the acute and chronic complications of T2D upon this population is included, which is of paramount importance to understand the toll that diabetes has upon this population, the health system, and society as a whole. Specific interventions directed to the Hispanic populations are needed to prevent and alleviate some of the burdens of T2D. Different prevention strategies based on medications, lifestyle modifications, and educational programmes are discussed herein. Diabetes self-management education (DSME) is a critical element of care of all people with diabetes and is considered necessary to improve patient outcomes. To be more effective, programmes should take into consideration cultural factors that influence the development and progression of diabetes. These interventions aim to enhance long-term effects by reducing the incidence, morbidity, and mortality of T2D in the Hispanic population of the United States.
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Affiliation(s)
| | - Paula Diaque
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Sonia Hernandez
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
- Surgery Department, University of Chicago, Chicago, Illinois, USA
| | - Silvia Rosas
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Aleksandar Kostic
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
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Prakash J, Mittal B, Apurva S, Shally A, Pranjal S, Neena S. Common Genetic Variant of insig2 Gene rs7566605 Polymorphism Is Associated with Severe Obesity in North India. IRANIAN BIOMEDICAL JOURNAL 2017; 21:261-9. [PMID: 28160769 PMCID: PMC5459941 DOI: 10.18869/acadpub.ibj.21.4.261] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background: Obesity is a very common disorder resulting from an imbalance between food intake and energy expenditure, and it has a substantial impact on the development of chronic diseases. The aim of this study was to examine the association of INSIG2 (rs7566605) gene polymorphism with obesity and obesity associated phenotypes in North Indian subjects. Methods: The variants were investigated for association in 642 obese and non-obese individuals. The genotyping of INSIG2 (rs7566605) single nucleotide polymorphism was analyzed by the TaqMan allelic discrimination protocol. Results: A significant association was observed for INSIG2 (rs7566605) single nucleotide polymorphism with obesity and obesity-related phenotypes. Furthermore, a significant relationship was found between the rs7566605 and insulin, homeostasis model of assessment-insulin resistance, the percentage of body fat, fat mass, leptin, and adiponectin. Conclusion: The present study observed significant association between INSIG2 (rs7566605) single nucleotide polymorphism and obesity, as well as obesity-associated phenotypes in North Indian population.
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Affiliation(s)
- Jai Prakash
- Department of Physiology, King George’s Medical University, Lucknow, Uttar Pradesh, India.,2Department of Pediatrics, King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Balraj Mittal
- 3Department of Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, U.P., India
| | - Srivastava Apurva
- Department of Physiology, King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Awasthi Shally
- 2Department of Pediatrics, King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Srivastava Pranjal
- Darbhanga Medical College and Hospital Near Karpuri Chowk Benta Laheriasarai Darbhanga Bihar 846003, India
| | - Srivastava Neena
- Department of Physiology, King George’s Medical University, Lucknow, Uttar Pradesh, India
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Koskinen S, Kampman O, Solismaa A, Lyytikäinen LP, Seppälä N, Viikki M, Hämäläinen M, Moilanen E, Mononen N, Lehtimäki T, Leinonen E. INSIG2 polymorphism and weight gain, dyslipidemia and serum adiponectin in Finnish patients with schizophrenia treated with clozapine. Pharmacogenomics 2016; 17:1987-1997. [DOI: 10.2217/pgs-2016-0117] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To investigate INSIG2's association with obesity, weight change and serum lipid profile during clozapine treatment. Materials & methods: Subjects with schizophrenia (n = 190) were genotyped, identifying seven SNPs. Genetic risk scores (GRSs) were calculated to adiponectin, high-density lipoprotein cholesterol, triglycerides and weight gain. Results: In the model for weight gain, SNPs rs12151787, rs17047733 and rs10490626 were selected. Explanatory variables were BMI (p = 5.05 × 10-5), age (p = 0.003) and GRS (p = 2.81 × 10-5, p = 0.0002 after permutation). No GRS resulted for adiponectin or high-density lipoprotein cholesterol. Rs2161829 and rs10490620 were selected for triglycerides; this GRS was insignificant after permutation. Conclusion: INSIG2 plays a role in weight gain and obesity during clozapine treatment.
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Affiliation(s)
- Suvi Koskinen
- School of Medicine, University of Tampere, 33014 Tampere, Finland
| | - Olli Kampman
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- Department of Psychiatry, Seinäjoki Hospital District, Seinäjoki, Finland
| | - Anssi Solismaa
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- Department of Psychiatry, Seinäjoki Hospital District, Seinäjoki, Finland
| | - Leo-Pekka Lyytikäinen
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- University of Tampere, School of Medicine, Department of Clinical Chemistry and Fimlab Laboratories, Tampere, Finland
| | - Niko Seppälä
- Department of Psychiatry, Tampere University Hospital, Tampere, Finland
| | - Merja Viikki
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- Tampere Mental Health Centre, Tampere, Finland
| | - Mari Hämäläinen
- The Immunopharmacology Research Group, School of Medicine & Tampere University Hospital, University of Tampere, Tampere, Finland
| | - Eeva Moilanen
- The Immunopharmacology Research Group, School of Medicine & Tampere University Hospital, University of Tampere, Tampere, Finland
| | - Nina Mononen
- University of Tampere, School of Medicine, Department of Clinical Chemistry and Fimlab Laboratories, Tampere, Finland
| | - Terho Lehtimäki
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- University of Tampere, School of Medicine, Department of Clinical Chemistry and Fimlab Laboratories, Tampere, Finland
| | - Esa Leinonen
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- Department of Psychiatry, Tampere University Hospital, Tampere, Finland
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Malan-Müller S, Kilian S, van den Heuvel LL, Bardien S, Asmal L, Warnich L, Emsley RA, Hemmings SMJ, Seedat S. A systematic review of genetic variants associated with metabolic syndrome in patients with schizophrenia. Schizophr Res 2016; 170:1-17. [PMID: 26621002 DOI: 10.1016/j.schres.2015.11.011] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Revised: 11/10/2015] [Accepted: 11/12/2015] [Indexed: 12/15/2022]
Abstract
Metabolic syndrome (MetS) is a cluster of factors that increases the risk of cardiovascular disease (CVD), one of the leading causes of mortality in patients with schizophrenia. Incidence rates of MetS are significantly higher in patients with schizophrenia compared to the general population. Several factors contribute to this high comorbidity. This systematic review focuses on genetic factors and interrogates data from association studies of genes implicated in the development of MetS in patients with schizophrenia. We aimed to identify variants that potentially contribute to the high comorbidity between these disorders. PubMed, Web of Science and Scopus databases were accessed and a systematic review of published studies was conducted. Several genes showed strong evidence for an association with MetS in patients with schizophrenia, including the fat mass and obesity associated gene (FTO), leptin and leptin receptor genes (LEP, LEPR), methylenetetrahydrofolate reductase (MTHFR) gene and the serotonin receptor 2C gene (HTR2C). Genetic association studies in complex disorders are convoluted by the multifactorial nature of these disorders, further complicating investigations of comorbidity. Recommendations for future studies include assessment of larger samples, inclusion of healthy controls, longitudinal rather than cross-sectional study designs, detailed capturing of data on confounding variables for both disorders and verification of significant findings in other populations. In future, big genomic datasets may allow for the calculation of polygenic risk scores in risk prediction of MetS in patients with schizophrenia. This could ultimately facilitate early, precise, and patient-specific pharmacological and non-pharmacological interventions to minimise CVD associated morbidity and mortality.
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Affiliation(s)
- Stefanie Malan-Müller
- Stellenbosch University, Department of Psychiatry, Cape Town, South Africa; SA MRC Centre for TB Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - Sanja Kilian
- Stellenbosch University, Department of Psychiatry, Cape Town, South Africa
| | | | - Soraya Bardien
- SA MRC Centre for TB Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Laila Asmal
- Stellenbosch University, Department of Psychiatry, Cape Town, South Africa
| | - Louise Warnich
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Robin A Emsley
- Stellenbosch University, Department of Psychiatry, Cape Town, South Africa
| | - Sîan M J Hemmings
- Stellenbosch University, Department of Psychiatry, Cape Town, South Africa; SA MRC Centre for TB Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Soraya Seedat
- Stellenbosch University, Department of Psychiatry, Cape Town, South Africa
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Crowther NJ, Ferris WF. The impact of insulin resistance, gender, genes, glucocorticoids and ethnicity on body fat distribution. JOURNAL OF ENDOCRINOLOGY, METABOLISM AND DIABETES OF SOUTH AFRICA 2014. [DOI: 10.1080/22201009.2010.10872241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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12
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The gene-gene interaction of INSIG-SCAP-SREBP pathway on the risk of obesity in Chinese children. BIOMED RESEARCH INTERNATIONAL 2014; 2014:538564. [PMID: 25028659 PMCID: PMC4083216 DOI: 10.1155/2014/538564] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 05/26/2014] [Indexed: 11/20/2022]
Abstract
Background. Childhood obesity has become a global public health problem in recent years. This study aimed to explore the association of genetic variants in INSIG-SCAP-SREBP pathway with obesity in Chinese children. Methods. A case-control study was conducted, including 705 obese cases and 1,325 nonobese controls. We genotyped 15 single nucleotide polymorphisms (SNPs) of five genes in INSIG-SCAP-SREBP pathway, including insulin induced gene 1 (INSIG1), insulin induced gene 2 (INSIG2), SREBP cleavage-activating protein gene (SCAP), sterol regulatory element binding protein gene 1 (SREBP1), and sterol regulatory element binding protein gene 2 (SREBP2). We used generalized multifactor dimensionality reduction (GMDR) and logistic regression to investigate gene-gene interactions. Results. Single polymorphism analyses showed that SCAP rs12487736 and rs12490383 were nominally associated with obesity. We identified a 3-locus interaction on obesity in GMDR analyses (P = 0.001), involving 3 genetic variants of INSIG2, SCAP, and SREBP2. The individuals in high-risk group of the 3-locus combinations had a 79.9% increased risk of obesity compared with those in low-risk group (OR = 1.799, 95% CI: 1.475–2.193, P = 6.61 × 10−9). Conclusion. We identified interaction of three genes in INSIG-SCAP-SREBP pathway on risk of obesity, revealing that these genes affect obesity more likely through a complex interaction pattern than single gene effect.
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Malzahn D, Müller-Nurasyid M, Heid IM, Wichmann HE, Bickeböller H. Controversial association results for INSIG2 on body mass index may be explained by interactions with age and with MC4R. Eur J Hum Genet 2014; 22:1217-24. [PMID: 24518831 DOI: 10.1038/ejhg.2014.3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2013] [Revised: 12/17/2013] [Accepted: 12/30/2013] [Indexed: 12/14/2022] Open
Abstract
Among the single-nucleotide polymorphisms (SNPs) previously reported to be associated with body mass index (BMI) and obesity, we focus on a common risk variant rs7566605 upstream of the insulin-induced gene 2 (INSIG2) gene and a rare protective variant rs2229616 on the melanocortin-4 receptor (MC4R) gene. INSIG2 is involved in adipogenesis and MC4R effects hormonal appetite control in response to the amount of adipose tissue. The influence of rs2229616 (MC4R) on BMI and obesity has been confirmed repeatedly and insight into the underlying mechanism provided. However, a main effect of rs7566605 (INSIG2) is under debate because of inconsistent replications of association. Interaction of rs7566605 with age may offer an explanation. SNP-age and SNP-SNP interaction models were tested on independent individuals from three population-based longitudinal cohorts, restricting the analysis to an observed age of 25-74 years. KORA S3/F3, KORA S4/F4 (Augsburg, Germany, 1994-2005, 1999-2008), and Framingham-Offspring data (Framingham, USA, 1971-2001) were analysed, with a total sample size of N=6926 in the joint analysis. The effect of interaction between rs7566605 and age on BMI and obesity status is significant and consistent across studies. This new evidence for rs7566605 (INSIG2) complements previous research. In addition, the interaction effect of rs7566605 with the MC4R variant rs2229616 on BMI was observed. This effect size was three times larger than that in a previously reported single-locus main effect of rs2229616. This leads to the conclusion that SNP-age or SNP-SNP interactions can mask genetic effects for complex diseases if left unaccounted for.
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Affiliation(s)
- Dörthe Malzahn
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Germany
| | - Martina Müller-Nurasyid
- 1] Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-University, Munich, Germany [2] Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology and Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Neuherberg, Germany [3] Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Iris M Heid
- 1] Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany [2] Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - H-Erich Wichmann
- 1] Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany [2] Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-University, Munich, Germany [3] Klinikum Großhadern, Munich, Germany
| | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Germany
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Popadic Gacesa JZ, Secher NH, Momcilovic M, Grujic NG. Association between intramuscular fat in the arm following arm training andINSIG2. Scand J Med Sci Sports 2013; 24:907-12. [DOI: 10.1111/sms.12102] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2013] [Indexed: 12/25/2022]
Affiliation(s)
- J. Z. Popadic Gacesa
- Department of Physiology; Medical School; University of Novi Sad; Novi Sad Serbia
| | - N. H. Secher
- The Copenhagen Muscle Research Center; Department of Anesthesiology; Rigshospitalet; University of Copenhagen; Copenhagen Denmark
| | - M. Momcilovic
- Department of Biochemistry; Medical School; University of Novi Sad; Novi Sad Serbia
| | - N. G. Grujic
- Department of Physiology; Medical School; University of Novi Sad; Novi Sad Serbia
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15
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Baylin A, Deka R, Tuitele J, Viali S, Weeks DE, McGarvey ST. INSIG2 variants, dietary patterns and metabolic risk in Samoa. Eur J Clin Nutr 2013; 67:101-7. [PMID: 22968099 PMCID: PMC3634362 DOI: 10.1038/ejcn.2012.124] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2012] [Revised: 08/16/2012] [Accepted: 08/18/2012] [Indexed: 12/11/2022]
Abstract
BACKGROUND/OBJECTIVES Association of insulin-induced gene 2 (INSIG2) variants with obesity has been confirmed in several but not all follow-up studies. Differences in environmental factors across populations may mask some genetic associations and therefore gene-environment interactions should be explored. We hypothesized that the association between dietary patterns and components of the metabolic syndrome could be modified by INSIG2 variants. SUBJECTS/METHODS We conducted a longitudinal study of adiposity and cardiovascular disease risk among 427 and 290 adults from Samoa and American Samoa (1990-1995). Principal component analysis on food items from a validated food frequency questionnaire was used to identify neotraditional and modern dietary patterns. We explored gene-dietary pattern interactions with the INSIG2 variants rs9308762 and rs7566605. RESULTS Results for American Samoans were mostly nonsignificant. In Samoa, the neotraditional dietary pattern was associated with lower triglycerides, body mass index (BMI), waist circumference, systolic and diastolic blood pressure and fasting glucose (all P-for-trend<0.05). The modern pattern was significantly associated with higher triglycerides, BMI, waist circumference and lower high-density lipoprotein-cholesterol (all P-for-trend<0.05). A significant interaction for triglycerides was found between the modern pattern and the rs9308762 polymorphism (P=0.04). Those from Samoa consuming the modern pattern have higher triglycerides if they are homozygous for the rs9308762 C allele. CONCLUSIONS The common INSIG2 variant rs9308762 was associated with poorer metabolic control and a greater sensitivity of trigylcerides to a modern dietary pattern. Environmental factors need to be taken into account when assessing genetic associations across and within populations.
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Affiliation(s)
- A Baylin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
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16
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Young KA, Fingerlin TE, Langefeld CD, Lorenzo C, Haffner SM, Wagenknecht LE, Norris JM. Exploring differences in adiposity in two U.S. Hispanic populations of Mexican origin using social, behavioral, physiologic and genetic markers: the IRAS Family Study. Ethn Dis 2012; 22:65-71. [PMID: 22774311 PMCID: PMC4020784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023] Open
Abstract
OBJECTIVE The census classification of Hispanic origin is used in epidemiological studies to group individuals, even though there is geographical, cultural, and genetic diversity within Hispanic Americans of purportedly similar backgrounds. We observed differences in our measures of adiposity between our two Mexican American populations, and examined whether these differences were attributed to social, behavioral, physiologic or genetic differences between the two populations. RESEARCH DESIGN AND METHODS In the IRAS Family Study, we examined 478 Hispanics from San Antonio, Texas and 447 Hispanics from the San Luis Valley, Colorado. Associations with body mass index (BMI), visceral adipose tissue area (VAT), and subcutaneous adipose tissue area (SAT) using social, behavioral, physiologic and genetic variables were examined. RESULTS Hispanics of Mexican origin in our clinic population in San Antonio had significantly higher mean BMI (31.09 vs. 28.35 kg/m2), VAT (126.3 vs. 105.5 cm2), and SAT (391.6 vs. 336.9 cm2), than Hispanics of Mexican origin in the San Luis Valley. The amount of variation in adiposity explained by clinic population was 4.5% for BMI, 2.8% for VAT, and 2.7% for SAT. After adjustment, clinic population was no longer associated with VAT and SAT, but remained associated with BMI, although the amount of variation explained by population was substantially less (1.0% for BMI). CONCLUSION Adiposity differences within this population of Mexican origin can be largely explained by social, behavioral, physiologic and genetic differences.
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Affiliation(s)
- Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado 80045, USA
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17
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Polymorphisms of INSIG2, MC4R, and LEP are associated with obesity- and metabolic-related traits in schizophrenic patients. J Clin Psychopharmacol 2011; 31:705-11. [PMID: 22020349 DOI: 10.1097/jcp.0b013e318234ee84] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Schizophrenic patients have a high prevalence of metabolic adversities. Previous studies have suggested some candidate genes for obesity- and metabolic-related traits, including the insulin-induced gene (INSIG2), melanocortin 4 receptor gene (MC4R), and leptin and leptin receptor genes (LEP and LEPR). We aimed to investigate the associations between these genes and metabolic disturbances in patients with schizophrenia in Taiwan. METHODS Patients with a diagnosis of schizophrenia or schizoaffective disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, were recruited from 36 community psychiatric rehabilitation centers or hospitals in Taipei. A total of 650 subjects were enrolled, and 577 were included in the genetic analyses. The anthropometric (body mass index, waist circumference [WC], and blood pressure) and biochemical measurements (fasting plasma glucose, insulin, triglyceride, high-density lipoprotein cholesterol, and Homeostasis Model of Assessment - Insulin Resistance index [HOMA-IR]) were assessed. Seven loci in the 4 genes were genotyped using standard TaqMan assays. Genetic association analyses were conducted for binary and quantitative measurements of the previously mentioned traits. Obese patients with schizophrenia exhibited more metabolic disturbances than nonobese patients. RESULTS AND CONCLUSIONS Our data showed that INSIG2 was significantly associated with fasting plasma glucose (for rs17587100, P < 0.0001), MC4R was associated with WC (for rs2229616, P = 0.005), and LEP was associated with body mass index and WC (for rs7799039, P < 0.01). In addition, these loci showed suggestive associations with traits including high-density lipoprotein cholesterol and triglyceride, metabolic syndrome, insulin level, and HOMA-IR index (P = 0.05). In addition to the effect from antipsychotic medications and an unhealthy lifestyle, genetic factors also contribute to the high prevalence of obesity and metabolic disturbances in patients with schizophrenia, especially genes involved in metabolic-related pathways.
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18
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Bostrom MA, Kao WHL, Li M, Abboud HE, Adler SG, Iyengar SK, Kimmel PL, Hanson RL, Nicholas SB, Rasooly RS, Sedor JR, Coresh J, Kohn OF, Leehey DJ, Thornley-Brown D, Bottinger EP, Lipkowitz MS, Meoni LA, Klag MJ, Lu L, Hicks PJ, Langefeld CD, Parekh RS, Bowden DW, Freedman BI. Genetic association and gene-gene interaction analyses in African American dialysis patients with nondiabetic nephropathy. Am J Kidney Dis 2011; 59:210-21. [PMID: 22119407 DOI: 10.1053/j.ajkd.2011.09.020] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2011] [Accepted: 09/16/2011] [Indexed: 11/11/2022]
Abstract
BACKGROUND African Americans have increased susceptibility to nondiabetic nephropathy relative to European Americans. STUDY DESIGN Follow-up of a pooled genome-wide association study (GWAS) in African American dialysis patients with nondiabetic nephropathy; novel gene-gene interaction analyses. SETTING & PARTICIPANTS Wake Forest sample: 962 African American nondiabetic nephropathy cases, 931 non-nephropathy controls. Replication sample: 668 Family Investigation of Nephropathy and Diabetes (FIND) African American nondiabetic nephropathy cases, 804 non-nephropathy controls. PREDICTORS Individual genotyping of top 1,420 pooled GWAS-associated single-nucleotide polymorphisms (SNPs) and 54 SNPs in 6 nephropathy susceptibility genes. OUTCOMES APOL1 genetic association and additional candidate susceptibility loci interacting with or independently from APOL1. RESULTS The strongest GWAS associations included 2 noncoding APOL1 SNPs, rs2239785 (OR, 0.33; dominant; P = 5.9 × 10(-24)) and rs136148 (OR, 0.54; additive; P = 1.1 × 10(-7)) with replication in FIND (P = 5.0 × 10(-21) and 1.9 × 10(-05), respectively). rs2239785 remained associated significantly after controlling for the APOL1 G1 and G2 coding variants. Additional top hits included a CFH SNP (OR from meta-analysis in the 3,367 African American cases and controls, 0.81; additive; P = 6.8 × 10(-4)). The 1,420 SNPs were tested for interaction with APOL1 G1 and G2 variants. Several interactive SNPs were detected; the most significant was rs16854341 in the podocin gene (NPHS2; P = 0.0001). LIMITATIONS Nonpooled GWASs have not been performed in African American patients with nondiabetic nephropathy. CONCLUSIONS This follow-up of a pooled GWAS provides additional and independent evidence that APOL1 variants contribute to nondiabetic nephropathy in African Americans and identified additional associated and interactive nondiabetic nephropathy susceptibility genes.
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19
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Do R, Bailey SD, Paré G, Montpetit A, Desbiens K, Hudson TJ, Yusuf S, Bouchard C, Gaudet D, Pérusse L, Anand S, Vohl MC, Pastinen T, Engert JC. Fine Mapping of the Insulin-Induced Gene 2 Identifies a Variant Associated With LDL Cholesterol and Total Apolipoprotein B Levels. ACTA ACUST UNITED AC 2010; 3:454-61. [DOI: 10.1161/circgenetics.109.917039] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Background—
In a whole-genome scan, a single nucleotide polymorphism (SNP) (rs7566605) upstream of the insulin-induced gene 2 (
INSIG2
) was shown to influence body mass index and obesity in the Framingham Heart Study, with replication of these results in an additional 4 of 5 studies. However, other studies could not replicate the association. Because
INSIG2
plays an important role in cholesterol biosynthesis, we hypothesized that human
INSIG2
variants might play a role in the regulation of plasma lipid and lipoprotein levels.
Methods and Results—
We selected tagging SNPs spanning >100 kb of
INSIG2
locus and sequenced 18 434 base pairs to discover novel SNPs. Thirty-two SNPs were genotyped in 645 individuals from the Quebec Family Study. Two SNPs (rs10490626 and rs12464355) were associated with plasma low-density lipoprotein cholesterol (LDL-C) (
P
<0.0015) and total apolipoprotein B (apoB) levels (
P
<0.014), whereas no association was found between any SNP and body mass index. We replicated the finding of rs10490626 for both LDL-C and total apoB in additional study samples, including 758 individuals from Saguenay–Lac St. Jean, Quebec (
P
=0.040 for LDL-C,
P
=0.044 for apoB), 3247 Europeans (
P
=0.028 for LDL-C,
P
=0.030 for apoB), and 1695 South Asians (
P
=0.0036 for LDL-C,
P
=0.034 for apoB) from the INTERHEART study (for LDL-C, the combined 2-sided
P
=6.2×10
−5
and for total apoB,
P
=0.0011). Furthermore, we identified a variant in the human sorbin and SH
3
-domain–containing-1 gene that was associated with
INSIG2
mRNA levels, and this SNP was shown to act in combination with rs10490626 to affect LDL-C (
P
=0.022) in the Quebec Family Study and in INTERHEART South Asians (
P
=0.019) and Europeans (
P
=0.052).
Conclusion—
These results suggest that
INSIG2
genetic variants may have a more direct role in lipid and lipoprotein metabolism than in obesity.
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Affiliation(s)
- Ron Do
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Swneke D. Bailey
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Guillaume Paré
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Alexandre Montpetit
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Katia Desbiens
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Thomas J. Hudson
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Salim Yusuf
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Claude Bouchard
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Daniel Gaudet
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Louis Pérusse
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Sonia Anand
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Marie-Claude Vohl
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - Tomi Pastinen
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
| | - James C. Engert
- From the Department of Human Genetics (R.D., S.D.B, G.P., T.P., J.C.E.), McGill University, McGill University and Genome Québec Innovation Centre (G.P., A.M., T.J.H., T.P.); and Research Institute of McGill University Health Centre (K.D., J.C.E.), Montreal, Canada; Pennington Biomedical Research Center (C.B.), Baton Rouge, La; Department of Medicine (D.G.), University of Montreal, and ECOGENE-21 Clinical Research Center, Chicoutimi Hospital; Department of Social and Preventive Medicine (L.P.),
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Zavattari P, Loche A, Civolani P, Pilia S, Moi L, Casini MR, Minerba L, Loche S. An INSIG2 Polymorphism Affects Glucose Homeostasis in Sardinian Obese Children and Adolescents. Ann Hum Genet 2010; 74:381-6. [DOI: 10.1111/j.1469-1809.2010.00590.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Fornage M, Papanicolaou G, Lewis CE, Boerwinkle E, Siscovick DS. Common INSIG2 polymorphisms are associated with age-related changes in body size and high-density lipoprotein cholesterol from young adulthood to middle age. Metabolism 2010; 59:1084-91. [PMID: 20045156 PMCID: PMC2888786 DOI: 10.1016/j.metabol.2009.11.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2009] [Revised: 10/09/2009] [Accepted: 11/02/2009] [Indexed: 02/07/2023]
Abstract
Insulin-induced gene 2 (INSIG2) plays an important role in the regulation of cholesterol and fatty acids synthesis. A polymorphism, rs7566605, located 10 kilobases upstream of the INSIG2 gene, was identified in a genomewide association study of obesity. We conducted an association study of 12 INSIG2 tag-single nucleotide polymorphisms with longitudinal measures of body size (body mass index and waist circumference) and lipid metabolism (plasma high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides levels). We investigated their interaction with age in 4304 Coronary Artery Risk Development in Young Adults participants (49.5% blacks, 50.5% whites) followed prospectively for 20 years. rs7566605 was not associated with variation in body size or lipid metabolism at any age in either racial group. However, rs1352083 and rs10185316 were associated with age-related decline in high-density lipoprotein cholesterol in whites (P = .0005 and .04, respectively). A similar trend was observed in blacks who consistently maintained a body mass index less than 25 kg/m(2) over the study period. These data support a role of INSIG2 sequence variation in the regulation of cholesterol metabolism.
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Affiliation(s)
- Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, TX, USA.
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22
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Comuzzie AG, Higgins PB, Voruganti S, Cole S. Cutting the Fat. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2010. [DOI: 10.1016/b978-0-12-375003-7.00007-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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