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Marin-Couture E, Pérusse L, Bouchard C, Schrauwen P, Joanisse DR, Tremblay A. Mechanical efficiency: associations with body composition and glycemic profile in healthy adults. Eur J Appl Physiol 2024; 124:3661-3670. [PMID: 39068628 DOI: 10.1007/s00421-024-05528-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 05/01/2024] [Indexed: 07/30/2024]
Abstract
The aim of this study was to assess the association between net mechanical efficiency (NME) and body composition and glycemic profile, in middle-aged (38.3 ± 14.3 years) participants from the Quebec Family Study (QFS). Analyses were completed on a sample of 605 participants (271 males and 334 females) who performed a submaximal exercise test on an ergometer consisting of three consecutive 6-min workloads at increasing intensity during which respiratory gas exchange was assessed. The calculation of NME [power output/ (vO2-vO2seated before exercise)] was based on the values of the last 3 min of the first workload at a targeted power output of 30 W. Correlations between NME and dependent variables were computed separately in males and females. Associations between NME and body composition and glucose-insulin variables were assessed by comparing groups of subjects categorized in sex-specific tertiles of NME after adjustments for age. Significant negative correlations were observed between NME and body composition and glycemic profile in both sexes. Comparison across tertiles showed that individuals with high NME displayed more favorable adiposity and glycemic profiles. These differences remained significant after further adjustments for participation in vigorous physical activity, cardiorespiratory fitness, and mean exercise respiratory exchange ratio whereas most differences in glucose-insulin variables became non-significant after further adjustment for percent body fat. QFS familial data indicate that the heritability of NME reaches about 30%. In conclusion, the results of this study show that beyond aerobic fitness and physical activity-participation, mechanical efficiency is an additional activity-related variable that is independently associated with variations in body composition and glycemic profile.
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Affiliation(s)
- Elisa Marin-Couture
- Department of Kinesiology, Faculty of Medicine, PEPS, Université Laval, Quebec City, G1V 0A6, Canada
- Centre Nutrition, Santé et Société (NUTRISS), Institute of Nutrition and Functional Food (INAF), Quebec City, Canada
- Centre de Recherche en Santé Durable - VITAM, CIUSSS de la Capitale-Nationale, Quebec City, Canada
| | - Louis Pérusse
- Department of Kinesiology, Faculty of Medicine, PEPS, Université Laval, Quebec City, G1V 0A6, Canada
- Centre Nutrition, Santé et Société (NUTRISS), Institute of Nutrition and Functional Food (INAF), Quebec City, Canada
| | | | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Denis R Joanisse
- Department of Kinesiology, Faculty of Medicine, PEPS, Université Laval, Quebec City, G1V 0A6, Canada
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec City, Canada
| | - Angelo Tremblay
- Department of Kinesiology, Faculty of Medicine, PEPS, Université Laval, Quebec City, G1V 0A6, Canada.
- Centre Nutrition, Santé et Société (NUTRISS), Institute of Nutrition and Functional Food (INAF), Quebec City, Canada.
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec City, Canada.
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2
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Jiang R, Collins KA, Huffman KM, Hauser ER, Hubal MJ, Johnson JL, Williams RB, Siegler IC, Kraus WE. Genome-Wide Genetic Analysis of Dropout in a Controlled Exercise Intervention in Sedentary Adults With Overweight or Obesity and Cardiometabolic Disease. Ann Behav Med 2024; 58:363-374. [PMID: 38489667 PMCID: PMC11008589 DOI: 10.1093/abm/kaae011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Despite the benefits of exercise, many individuals are unable or unwilling to adopt an exercise intervention. PURPOSE The purpose of this analysis was to identify putative genetic variants associated with dropout from exercise training interventions among individuals in the STRRIDE trials. METHODS We used a genome-wide association study approach to identify genetic variants in 603 participants initiating a supervised exercise intervention. Exercise intervention dropout occurred when a subject withdrew from further participation in the study or was otherwise lost to follow-up. RESULTS Exercise intervention dropout was associated with a cluster of single-nucleotide polymorphisms with the top candidate being rs722069 (T/C, risk allele = C) (unadjusted p = 2.2 × 10-7, odds ratio = 2.23) contained within a linkage disequilibrium block on chromosome 16. In Genotype-Tissue Expression, rs722069 is an expression quantitative trait locus of the EARS2, COG7, and DCTN5 genes in skeletal muscle tissue. In subsets of the STRRIDE genetic cohort with available muscle gene expression (n = 37) and metabolic data (n = 82), at baseline the C allele was associated with lesser muscle expression of EARS2 (p < .002) and COG7 (p = .074) as well as lesser muscle concentrations of C2- and C3-acylcarnitines (p = .026). CONCLUSIONS Our observations imply that exercise intervention dropout is genetically moderated through alterations in gene expression and metabolic pathways in skeletal muscle. Individual genetic traits may allow the development of a biomarker-based approach for identifying individuals who may benefit from more intensive counseling and other interventions to optimize exercise intervention adoption. CLINICAL TRIAL INFORMATION STRRIDE I = NCT00200993; STRRIDE AT/RT = NCT00275145; STRRIDE-PD = NCT00962962.
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Affiliation(s)
- Rong Jiang
- Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Katherine A Collins
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Kim M Huffman
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Biostatistics, Duke University School of Medicine, Durham, NC, USA
| | - Monica J Hubal
- Department of Kinesiology, Indiana University Purdue University Indianapolis, Indianapolis, IN, USA
| | - Johanna L Johnson
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Redford B Williams
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Ilene C Siegler
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - William E Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
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3
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Ahmetov II, John G, Semenova EA, Hall ECR. Genomic predictors of physical activity and athletic performance. ADVANCES IN GENETICS 2024; 111:311-408. [PMID: 38908902 DOI: 10.1016/bs.adgen.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/24/2024]
Abstract
Physical activity and athletic performance are complex phenotypes influenced by environmental and genetic factors. Recent advances in lifestyle and behavioral genomics led to the discovery of dozens of DNA polymorphisms (variants) associated with physical activity and allowed to use them as genetic instruments in Mendelian randomization studies for identifying the causal links between physical activity and health outcomes. On the other hand, exercise and sports genomics studies are focused on the search for genetic variants associated with athlete status, sports injuries and individual responses to training and supplement use. In this review, the findings of studies investigating genetic markers and their associations with physical activity and athlete status are reported. As of the end of September 2023, a total of 149 variants have been associated with various physical activity traits (of which 42 variants are genome-wide significant) and 253 variants have been linked to athlete status (115 endurance-related, 96 power-related, and 42 strength-related).
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Affiliation(s)
- Ildus I Ahmetov
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom; Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St. Petersburg, Russia; Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, Kazan, Russia; Department of Physical Education, Plekhanov Russian University of Economics, Moscow, Russia.
| | - George John
- Transform Specialist Medical Centre, Dubai, United Arab Emirates
| | - Ekaterina A Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia; Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, Kazan, Russia
| | - Elliott C R Hall
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, United Kingdom
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4
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Schultes B, Ernst B, Hallschmid M, Bueter M, Meyhöfer SM. The 'Behavioral Balance Model': A new perspective on the aetiology and therapy of obesity. Diabetes Obes Metab 2023; 25:3444-3452. [PMID: 37694802 DOI: 10.1111/dom.15271] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/13/2023] [Accepted: 08/21/2023] [Indexed: 09/12/2023]
Abstract
Obesity is a debilitating disease of global proportions that necessitates refined, concept-driven therapeutic approaches. Policy makers, the public and even health care professionals, but also individuals with obesity harbour many misconceptions regarding this disease, which leads to prejudice, negative attitudes, stigmatization, discrimination, self-blame, and failure to provide and finance adequate medical care. Decades of intensive, successful scientific research on obesity have only had a very limited effect on this predicament. We propose a science-based, easy-to-understand conceptual model that synthesizes the complex pathogenesis of obesity including biological, psychological, social, economic and environmental aspects with the aim to explain and communicate better the nature of obesity and currently available therapeutic modalities. According to our integrative 'Behavioral Balance Model', 'top-down cognitive control' strategies are implemented (often with limited success) to counterbalance the increased 'bottom-up drive' to gain weight, which is triggered by biological, psycho-social and environmental mechanisms in people with obesity. Besides offering a deeper understanding of obesity, the model also highlights why there is a strong need for multimodal therapeutic approaches that may not only increase top-down control but also reduce a pathologically increased bottom-up drive.
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Affiliation(s)
- Bernd Schultes
- Metabolic Center St. Gallen, friendlyDocs Ltd, St. Gallen, Switzerland
| | - Barbara Ernst
- Metabolic Center St. Gallen, friendlyDocs Ltd, St. Gallen, Switzerland
| | - Manfred Hallschmid
- Department of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen (IDM), Tübingen, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Marco Bueter
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
- Department of Surgery, Spital Männedorf, Männedorf, Switzerland
| | - Sebastian M Meyhöfer
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute for Endocrinology & Diabetes, University of Lübeck, Lübeck, Germany
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5
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Htet S, Zannah M, Moe TH, Wongveerakul P, Charoenpanich N, Saengsirisuwan V, Papadimitriou I. The speed-gene study: methods, study design and preliminary results. BMC Res Notes 2023; 16:345. [PMID: 37993877 PMCID: PMC10664269 DOI: 10.1186/s13104-023-06617-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 11/06/2023] [Indexed: 11/24/2023] Open
Abstract
The Speed-Gene study aims to identify genetic variants influencing athletic performance and human locomotion using motion capture technology. Currently, 60 female participants have completed the testing protocol, and the overall aim is to recruit 283 moderately trained, healthy Southeast Asian individuals (18-45 y, BMI < 30). Participants will undergo biomechanical analysis and genetic testing. Several analyses will be performed, including (but not limited to) linear and angular kinematic analysis using motion capture technology, force plate dynamometry and genetic analyses to define novel power/torque related outcomes that would be more sensitive to allele-specific differences in athletic performance. Pretesting beverages will be provided, and activity history and current activity levels will be assessed by a questionnaire. The kinematic data will be obtained using a Qualisys Track Manager (QTM) system, and DNA will be extracted from white blood cells. The participants serve as their own controls. Although the Speed-Gene study is tightly controlled, our preliminary findings still indicate considerable individual variability. More participants and further genetic analysis are required to allow the investigation of potential underlying genetic mechanisms responsible for this individual variability.
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Affiliation(s)
- Swam Htet
- Department of Physiology, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Miftahul Zannah
- Department of Physiology, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Thet Hnin Moe
- Department of Physiology, Faculty of Science, Mahidol University, Bangkok, Thailand
| | | | - Nongnapas Charoenpanich
- Human Movement Performance Enhancement Research Unit, Faculty of Sports Science, Chulalongkorn University, Bangkok, Thailand
| | | | - Ioannis Papadimitriou
- Department of Physiology, Faculty of Science, Mahidol University, Bangkok, Thailand.
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Pikó P, Bácsné Bába É, Kósa Z, Sándor J, Kovács N, Bács Z, Ádány R. Genetic Determinants of Leisure-Time Physical Activity in the Hungarian General and Roma Populations. Int J Mol Sci 2023; 24:ijms24054566. [PMID: 36901996 PMCID: PMC10003125 DOI: 10.3390/ijms24054566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/20/2023] [Accepted: 02/24/2023] [Indexed: 03/02/2023] Open
Abstract
Leisure-time physical activity (LTPA) is one of the modifiable lifestyle factors that play an important role in the prevention of non-communicable (especially cardiovascular) diseases. Certain genetic factors predisposing to LTPA have been previously described, but their effects and applicability on different ethnicities are unknown. Our present study aims to investigate the genetic background of LTPA using seven single nucleotide polymorphisms (SNPs) in a sample of 330 individuals from the Hungarian general (HG) and 314 from the Roma population. The LTPA in general and three intensity categories of it (vigorous, moderate, and walking) were examined as binary outcome variables. Allele frequencies were determined, individual correlations of SNPs to LTPA, in general, were determined, and an optimized polygenetic score (oPGS) was created. Our results showed that the allele frequencies of four SNPs differed significantly between the two study groups. The C allele of rs10887741 showed a significant positive correlation with LTPA in general (OR = 1.48, 95% CI: 1.12-1.97; p = 0.006). Three SNPs (rs10887741, rs6022999, and rs7023003) were identified by the process of PGS optimization, whose cumulative effect shows a strong significant positive association with LTPA in general (OR = 1.40, 95% CI: 1.16-1.70; p < 0.001). The oPGS showed a significantly lower value in the Roma population compared with the HG population (oPGSRoma: 2.19 ± SD: 0.99 vs. oPGSHG: 2.70 ± SD: 1.06; p < 0.001). In conclusion, the coexistence of genetic factors that encourage leisure-time physical activity shows a more unfavorable picture among Roma, which may indirectly contribute to their poor health status.
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Affiliation(s)
- Péter Pikó
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Epidemiology and Surveillance Centre, Semmelweis University, 1085 Budapest, Hungary
| | - Éva Bácsné Bába
- Institute of Sport Economics and Management, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary
| | - Zsigmond Kósa
- Department of Health Methodology and Public Health, Faculty of Health, University of Debrecen, 4400 Nyíregyháza, Hungary
| | - János Sándor
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Nóra Kovács
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Zoltán Bács
- Department of Accounting, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary
| | - Róza Ádány
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Epidemiology and Surveillance Centre, Semmelweis University, 1085 Budapest, Hungary
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Department of Public Health, Semmelweis University, 1089 Budapest, Hungary
- Correspondence:
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7
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de Geus EJ. Genetic Pathways Underlying Individual Differences in Regular Physical Activity. Exerc Sport Sci Rev 2023; 51:2-18. [PMID: 36044740 PMCID: PMC9762726 DOI: 10.1249/jes.0000000000000305] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2022] [Indexed: 12/15/2022]
Abstract
Twin and family studies show a strong contribution of genetic factors to physical activity (PA) assessed by either self-report or accelerometers. PA heritability is around 43% across the lifespan. Genome-wide association studies have implied biological pathways related to exercise ability and enjoyment. A polygenic score based on genetic variants influencing PA could help improve the success of intervention programs.
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8
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Qi G, Dutta D, Leroux A, Ray D, Muschelli J, Crainiceanu C, Chatterjee N. Genome-wide association studies of 27 accelerometry-derived physical activity measurements identified novel loci and genetic mechanisms. Genet Epidemiol 2022; 46:122-138. [PMID: 35043453 PMCID: PMC8863635 DOI: 10.1002/gepi.22441] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 11/03/2021] [Accepted: 12/07/2021] [Indexed: 02/06/2023]
Abstract
Physical inactivity (PA) is an important risk factor for a wide range of diseases. Previous genome-wide association studies (GWAS), based on self-reported data or a small number of phenotypes derived from accelerometry, have identified a limited number of genetic loci associated with habitual PA and provided evidence for involvement of central nervous system in mediating genetic effects. In this study, we derived 27 PA phenotypes from wrist accelerometry data obtained from 88,411 UK Biobank study participants. Single-variant association analysis based on mixed-effects models and transcriptome-wide association studies (TWAS) together identified 5 novel loci that were not detected by previous studies of PA, sleep duration and self-reported chronotype. For both novel and previously known loci, we discovered associations with novel phenotypes including active-to-sedentary transition probability, light-intensity PA, activity during different times of the day and proxy phenotypes to sleep and circadian patterns. Follow-up studies including TWAS, colocalization, tissue-specific heritability enrichment, gene-set enrichment and genetic correlation analyses indicated the role of the blood and immune system in modulating the genetic effects and a secondary role of the digestive and endocrine systems. Our findings provided important insights into the genetic architecture of PA and its underlying mechanisms.
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Affiliation(s)
- Guanghao Qi
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Diptavo Dutta
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Andrew Leroux
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA,Department of Biostatistics and Informatics, University of Colorado, Aurora, CO 80045, USA
| | - Debashree Ray
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - John Muschelli
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Ciprian Crainiceanu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Nilanjan Chatterjee
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA,Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA,Corresponding author: Nilanjan Chatterjee, Bloomberg Distinguished Professor, Johns Hopkins University, 615 N. Wolfe Street, Room E3612, Baltimore, Maryland 21205, , Phone: 410-955-3067
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9
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Li C, Niu M, Guo Z, Liu P, Zheng Y, Liu D, Yang S, Wang W, Li Y, Hou H. A Mild Causal Relationship Between Tea Consumption and Obesity in General Population: A Two-Sample Mendelian Randomization Study. Front Genet 2022; 13:795049. [PMID: 35281810 PMCID: PMC8907656 DOI: 10.3389/fgene.2022.795049] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 01/25/2022] [Indexed: 12/08/2022] Open
Abstract
Evidence from observational studies for the effect of tea consumption on obesity is inconclusive. This study aimed to verify the causal association between tea consumption and obesity through a two-sample Mendelian randomization (MR) analysis in general population-based datasets. The genetic instruments, single nucleotide polymorphisms (SNPs) associated with tea consumption habits, were obtained from genome-wide association studies (GWAS): UK Biobank, Nurses' Health Study, Health Professionals Follow-up Study, and Women's Genome Health Study. The effect of the genetic instruments on obesity was analyzed using the UK Biobank dataset (among ∼500,000 participants). The causal relationship between tea consumption and obesity was analyzed by five methods of MR analyses: inverse variance weighted (IVW) method, MR-Egger regression method, weighted median estimator (WME), weighted mode, and simple mode. Ninety-one SNPs were identified as genetic instruments in our study. A mild causation was found by IVW (odds ratio [OR] = 0.998, 95% confidence interval [CI] = 0.996 to 1.000, p = 0.049]), which is commonly used in two-sample MR analysis, indicating that tea consumption has a statistically significant but medically weak effect on obesity control. However, the other four approaches did not show significance. Since there was no heterogeneity and pleiotropy in this study, the IVW approach has the priority of recommendation. Further studies are needed to clarify the effects of tea consumption on obesity-related health problems in detail.
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Affiliation(s)
- Cancan Li
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Mingyun Niu
- The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Zheng Guo
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Pengcheng Liu
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Yulu Zheng
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Di Liu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Song Yang
- Department of Endocrinology, Taian City Central Hospital, Taian, China
| | - Wei Wang
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Yuanmin Li
- The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
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10
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Lee CG, Moon H, Kang JH, Choi JH, Kwon JH. Long-term effects of adolescent sport experience, DRD2 and COMT genes, and their interaction on sport participation in adulthood. Brain Behav 2022; 12:e2459. [PMID: 34904796 PMCID: PMC8785622 DOI: 10.1002/brb3.2459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 10/21/2021] [Accepted: 11/26/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The present study investigated the joint impact of adolescent sport experience and dopamine-related genes (i.e., DRD2 and COMT genes) on sport participation in adulthood. METHODS Using the National Longitudinal Study of Adolescent Health (Add Health) data, the hierarchical multivariable logistic regression models for predicting sport participation in wave 3 (around 20 years of age) and wave 4 (around 30 years of age) were conducted separately by gender (male and female) and gene (DRD2 and COMT genes). RESULTS Adolescent sport experience significantly interacted with the number of DRD2 A1 alleles and COMT Met alleles in affecting wave 3 sport participation among male adults. The interaction between adolescent sport experience and DRD2 gene significantly affected wave 4 sport participation in opposite direction to that affected wave 3 sport participation among male participants. Among female participants, there were no significant interaction effects between dopamine-related genes and adolescent sport experience on sport participation in both wave 3 and 4. CONCLUSIONS Since adult sport participation is most likely to be influenced by the joint impact of environmental and genetic factors, it is important to consider gene-by-environment interactions when designing policies or programs to promote adult sport participation.
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Affiliation(s)
- Chung Gun Lee
- Department of Physical Education, College of Education, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea.,Institute of Sport Science, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea
| | - Hyoyoul Moon
- Department of Physical Education, College of Education, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea.,Institute of Sport Science, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea
| | - Joon-Ho Kang
- Department of Physical Education, College of Education, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea.,Institute of Sport Science, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea
| | - Joo Hee Choi
- Institute of Sport Science, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea
| | - Ju Hyuk Kwon
- Institute of Sport Science, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea
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11
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Lee HH, McGeary JE, Dunsiger S, Baker L, Balasubramanyam A, Knowler WC, Williams DM. The Moderating Effects of Genetic Variations on Changes in Physical Activity Level and Cardiorespiratory Fitness in Response to a Life-Style Intervention: A Randomized Controlled Trial. Psychosom Med 2021; 83:440-448. [PMID: 34080585 PMCID: PMC9922170 DOI: 10.1097/psy.0000000000000930] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Prior studies identified single nucleotide polymorphisms (SNPs) associated with physical activity (PA) level in a natural environment and intervention study: rs978656-DNAPTP6, rs10887741-PAPSS2, rs7279064-C18orf2, and rs6265-BDNF. Using the four SNPs' polygenic score (PGS), we examined whether PGS moderates a life-style intervention's effect on changes in PA level and cardiorespiratory fitness (CRF). METHODS This is a secondary analysis of Look AHEAD, a multicenter randomized controlled trial designed to test the health benefits of a life-style intervention among 2675 participants with overweight/obesity and type 2 diabetes (ages, 45-76 years). Using linear mixed-effects models, level of PA (Paffenbarger PA questionnaire) and treadmill-assessed CRF were each regressed on four SNPs' PGS, study time (baseline, year 1, and year 4), intervention arm, and interactions between the three. Models adjusted for age, sex, body mass index, ancestry principal components (population stratification), and study sites, with Bonferroni corrections for multiple testing (α < .005). Effect modification by age was examined. RESULTS PGS was not predictive of change in CRF or PA level in response to intervention. In analyses without PGS by intervention by time, the relationships between PGS and PA phenotypes were modified by age (p interaction = .048 for CRF and .058 for PA), such that a 1-unit increase in PGS was associated with 24 kcal · wk-1 more in moderate-intensity PA and 0.004 MET higher CRF only among older groups (age >55 years for CRF, >60 years for PA level). CONCLUSIONS The effects of the intervention on PA and CRF were not moderated by the four SNPs. Future studies with extended SNP list should confirm the findings on effect modification by age.
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Affiliation(s)
- Harold H. Lee
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
- Department of Behavioral and Social Sciences, Brown University School of Public Health
| | - John E. McGeary
- Department of Psychiatry and Human Behavior, Brown Alpert Medical School
- Genomics Laboratory, Providence Veterans Affairs Medical Center
| | - Shira Dunsiger
- Department of Behavioral and Social Sciences, Brown University School of Public Health
- Centers for Behavioral and Preventive Medicine, Miriam Hospital
| | - Laura Baker
- Department of Internal Medicine, Wake Forest School of Medicine
| | - Ashok Balasubramanyam
- Department of Medicine - Endocrinology, Diabetes and Metabolism, Baylor College of Medicine
| | - William C. Knowler
- Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases
| | - David M. Williams
- Department of Behavioral and Social Sciences, Brown University School of Public Health
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12
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Schnurr TM, Stallknecht BM, Sørensen TIA, Kilpeläinen TO, Hansen T. Evidence for shared genetics between physical activity, sedentary behaviour and adiposity-related traits. Obes Rev 2021; 22:e13182. [PMID: 33354910 DOI: 10.1111/obr.13182] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/23/2020] [Accepted: 11/25/2020] [Indexed: 12/20/2022]
Abstract
Observational, cross-sectional and longitudinal studies showed that physical activity and sedentary behaviour are associated with adiposity-related traits, apparently in a bidirectional manner. Physical activity is also suggested to suppress the genetic risk of adiposity. Since phenotypic associations with genetic variants are not subject to reverse causation or confounding, they may be used as tools to shed light on cause and effect in this complex interdependency. We review the evidence for shared genetics of physical activity and adiposity-related traits and for gene-by-physical activity interactions on adiposity-related traits in human studies. We outline limitations, challenges and opportunities in studying and understanding of these relationships. In summary, physical activity and sedentary behaviour are genetically correlated with body mass index and fat percentage but may not be correlated with lean body mass. Mendelian randomisation analyses show that physical activity and sedentary behaviour have bidirectional relationships with adiposity. Several studies suggest that physical activity suppresses genetic risk of adiposity. No studies have yet tested whether adiposity enhances genetic predisposition to sedentariness. The complexity of the comprehensive causal model makes the assessment of the single or combined components challenging. Substantial progress in this field may need long-term intervention studies.
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Affiliation(s)
- Theresia M Schnurr
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bente M Stallknecht
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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13
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Genetic and Environmental Influences on Vigorous Exercise in South Korean Adolescent and Young Adult Twins. Twin Res Hum Genet 2021; 24:116-122. [PMID: 33736728 DOI: 10.1017/thg.2021.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Twin studies of physical exercise for Asian twins are sparse. This study aimed to examine genetic and environmental influences on frequency of vigorous exercise (FVE) in South Korean twins, with a special emphasis on sex effects. Telephone interviews on FVE were administered to 1757 twins (mean age = 19.05 years, SD = 3.01 years). Tetrachoric correlations were significantly different between monozygotic (MZ) and dizygotic (DZ) twins in males (.40 vs. .12), but they were similar in females (.44 vs. .45), suggesting the importance of genetic factors in FVE in males and that of common environmental factors in females. A scalar sex-limitation model incorporating age as a modifier was applied to data. The results revealed that genetic, common and individual environmental influences did not vary significantly with age, but differed across two sexes, confirming twin correlational analyses. In the best-fitting model, additive genetic and individual environmental influences on FVE were, respectively, .35 (95% CI [.26, .39]) and .65 (95% CI [.61, .74]) in males, and common and individual environmental influences were, respectively, .45 (95% CI [.35, .53]) and .55 (95% CI [.47, .65]) in females. These results contrasted starkly with recent findings from a large sample of Chinese adult twins (age >18 years), in which most variance (≥95%) of vigorous physical activity was attributable to common environmental influences in both sexes. Replications in other Asian samples are clearly needed.
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14
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Aasdahl L, Nilsen TIL, Meisingset I, Nordstoga AL, Evensen KAI, Paulsen J, Mork PJ, Skarpsno ES. Genetic variants related to physical activity or sedentary behaviour: a systematic review. Int J Behav Nutr Phys Act 2021; 18:15. [PMID: 33482856 PMCID: PMC7821484 DOI: 10.1186/s12966-020-01077-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/16/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Research shows that part of the variation in physical activity and sedentary behaviour may be explained by genetic factors. Identifying genetic variants associated with physical activity and sedentary behaviour can improve causal inference in physical activity research. The aim of this systematic review was to provide an updated overview of the evidence of genetic variants associated with physical activity or sedentary behaviour. METHODS We performed systematic literature searches in PubMed and Embase for studies published from 1990 to April 2020 using keywords relating to "physical activity", "exercise", "sedentariness" and "genetics". Physical activity phenotypes were either based on self-report (e.g., questionnaires, diaries) or objective measures (e.g., accelerometry, pedometer). We considered original studies aiming to i) identify new genetic variants associated with physical activity or sedentary behaviour (i.e., genome wide association studies [GWAS]), or ii) assess the association between known genetic variants and physical activity or sedentary behaviour (i.e., candidate gene studies). Study selection, data extraction, and critical appraisal were carried out by independent researchers, and risk of bias and methodological quality was assessed for all included studies. RESULTS Fifty-four out of 5420 identified records met the inclusion criteria. Six of the included studies were GWAS, whereas 48 used a candidate gene approach. Only one GWAS and three candidate gene studies were considered high-quality. The six GWAS discovered up to 10 single nucleotide polymorphisms (SNPs) associated with physical activity or sedentariness that reached genome-wide significance. In total, the candidate gene studies reported 30 different genes that were associated (p < 0.05) with physical activity or sedentary behaviour. SNPs in or close to nine candidate genes were associated with physical activity or sedentary behaviour in more than one study. CONCLUSION GWAS have reported up to 10 loci associated with physical activity or sedentary behaviour. Candidate gene studies have pointed to some interesting genetic variants, but few have been replicated. Our review highlights the need for high-quality GWAS in large population-based samples, and with objectively assessed phenotypes, in order to establish robust genetic instruments for physical activity and sedentary behaviour. Furthermore, consistent replications in GWAS are needed to improve credibility of genetic variants. TRIAL REGISTRATION Prospero CRD42019119456 .
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Affiliation(s)
- Lene Aasdahl
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, MTFS, 7491, Trondheim, Norway. .,Unicare Helsefort Rehabilitation Centre, Rissa, Norway.
| | - Tom Ivar Lund Nilsen
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, MTFS, 7491, Trondheim, Norway.,Clinic of Anaesthesia and Intensive Care, St. Olavs Hospital, Trondheim, Norway
| | - Ingebrigt Meisingset
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, MTFS, 7491, Trondheim, Norway
| | - Anne Lovise Nordstoga
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, MTFS, 7491, Trondheim, Norway
| | - Kari Anne I Evensen
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, MTFS, 7491, Trondheim, Norway.,Department of Clinical and Molecular Medicine, NTNU, Trondheim, Norway.,Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway.,Unit for Physiotherapy Services, Trondheim, Norway
| | - Julie Paulsen
- Department of Medical Genetics, St. Olavs Hospital, Trondheim, Norway
| | - Paul Jarle Mork
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, MTFS, 7491, Trondheim, Norway
| | - Eivind Schjelderup Skarpsno
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, MTFS, 7491, Trondheim, Norway.,Department of Neurology and Clinical Neurophysiology, St. Olavs Hospital, Trondheim, Norway
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15
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Browning BD, Schwandt ML, Farokhnia M, Deschaine SL, Hodgkinson CA, Leggio L. Leptin Gene and Leptin Receptor Gene Polymorphisms in Alcohol Use Disorder: Findings Related to Psychopathology. Front Psychiatry 2021; 12:723059. [PMID: 34421692 PMCID: PMC8377199 DOI: 10.3389/fpsyt.2021.723059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 07/12/2021] [Indexed: 11/13/2022] Open
Abstract
Comorbidity between alcohol use disorder (AUD) and other addictive and psychiatric disorders is highly prevalent and disabling; however, the underlying biological correlates are not fully understood. Leptin is a peptide hormone known for its role in energy homeostasis and food intake. Furthermore, leptin plays a key role in the activity of the hypothalamic-pituitary-adrenal (HPA) axis and of several neurotransmitter systems that regulate emotionality and behavior. However, human studies that have investigated circulating leptin levels in relation to AUD and affective disorders, such as anxiety and depression, are conflicting. Genetic-based analyses of the leptin gene (LEP) and leptin receptor gene (LEPR) have the potential of providing more insight into the potential role of the leptin system in AUD and comorbid psychopathology. The aim of the current study was to investigate whether genotypic variations at LEP and LEPR are associated with measures of alcohol use, nicotine use, anxiety, and depression, all of which represent common comorbidities with AUD. Haplotype association analyses were performed, using data from participants enrolled in screening and natural history protocols at the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Analyses were performed separately in European Americans and African Americans due to the variation in haplotype diversity for most genes between these groups. In the European American group, one LEP haplotype (EB2H4) was associated with lower odds of having a current AUD diagnosis, two LEPR haplotypes (EB7H3, EB8H3) were associated with lower cigarette pack years and two LEPR haplotypes (EB7H2, EB8H2) were associated with higher State-Trait Anxiety Inventory (STAI-T) scores. In the African American group, one LEP haplotype (AB2H8) was associated with higher cigarette pack years and one LEP haplotype (AB3H2) was associated with lower Fagerström Test for Nicotine Dependence (FTND) scores. Overall, this study found that variations in the leptin and leptin receptor genes are associated with measures of alcohol use, nicotine use, and anxiety. While this preliminary study adds support for a role of the leptin system in AUD and psychopathologies, additional studies are required to fully understand the underlying mechanisms and potential therapeutic implications of these findings.
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Affiliation(s)
- Brittney D Browning
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore, MD, United States
| | - Melanie L Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Bethesda, MD, United States
| | - Mehdi Farokhnia
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore, MD, United States.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Sara L Deschaine
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore, MD, United States
| | - Colin A Hodgkinson
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Rockville, MD, United States
| | - Lorenzo Leggio
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore, MD, United States.,Medication Development Program, National Institute on Drug Abuse Intramural Research Program, National Institutes of Health, Baltimore, MD, United States.,Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States.,Division of Addiction Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.,Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
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16
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Naureen Z, Miggiano GAD, Aquilanti B, Velluti V, Matera G, Gagliardi L, Zulian A, Romanelli R, Bertelli M. Genetic test for the prescription of diets in support of physical activity. ACTA BIO-MEDICA : ATENEI PARMENSIS 2020; 91:e2020011. [PMID: 33170161 PMCID: PMC8023120 DOI: 10.23750/abm.v91i13-s.10584] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 09/17/2020] [Indexed: 01/03/2023]
Abstract
Owing to the fields of nutrigenetics and nutrigenomics today we can think of devising approaches to optimize health, delay onset of diseases and reduce its severity according to our genetic blue print. However this requires a deep understanding of nutritional impact on expression of genes that may result in a specific phenotype. The extensive research and observational studies during last two decades reporting interactions between genes, diet and physical activity suggest a cross talk between various genetic and environmental factors and lifestyle interventions. Although considerable efforts have been made in unraveling the mechanisms of gene-diet interactions the scientific evidences behind developing commercial genetic tests for providing personalized nutrition recommendations are still scarce. In this scenario the current mini-review aims to provide useful insights into salient feature of nutrition based genetic research and its commercial application and the ethical issue and concerns related to its outcome.
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Affiliation(s)
- Zakira Naureen
- Department of Biological Sciences and Chemistry, College of Arts and Sciences, University of Nizwa, Nizwa, Oman.
| | | | - Barbara Aquilanti
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Valeria Velluti
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Giuseppina Matera
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Lucilla Gagliardi
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | | | | | - Matteo Bertelli
- MAGI'S LAB, Rovereto (TN), Italy; MAGI EUREGIO, Bolzano, Italy; EBTNA-LAB, Rovereto (TN), Italy.
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17
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Hillis DA, Yadgary L, Weinstock GM, Pardo-Manuel de Villena F, Pomp D, Fowler AS, Xu S, Chan F, Garland T. Genetic Basis of Aerobically Supported Voluntary Exercise: Results from a Selection Experiment with House Mice. Genetics 2020; 216:781-804. [PMID: 32978270 PMCID: PMC7648575 DOI: 10.1534/genetics.120.303668] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 09/18/2020] [Indexed: 12/14/2022] Open
Abstract
The biological basis of exercise behavior is increasingly relevant for maintaining healthy lifestyles. Various quantitative genetic studies and selection experiments have conclusively demonstrated substantial heritability for exercise behavior in both humans and laboratory rodents. In the "High Runner" selection experiment, four replicate lines of Mus domesticus were bred for high voluntary wheel running (HR), along with four nonselected control (C) lines. After 61 generations, the genomes of 79 mice (9-10 from each line) were fully sequenced and single nucleotide polymorphisms (SNPs) were identified. We used nested ANOVA with MIVQUE estimation and other approaches to compare allele frequencies between the HR and C lines for both SNPs and haplotypes. Approximately 61 genomic regions, across all somatic chromosomes, showed evidence of differentiation; 12 of these regions were differentiated by all methods of analysis. Gene function was inferred largely using Panther gene ontology terms and KO phenotypes associated with genes of interest. Some of the differentiated genes are known to be associated with behavior/motivational systems and/or athletic ability, including Sorl1, Dach1, and Cdh10 Sorl1 is a sorting protein associated with cholinergic neuron morphology, vascular wound healing, and metabolism. Dach1 is associated with limb bud development and neural differentiation. Cdh10 is a calcium ion binding protein associated with phrenic neurons. Overall, these results indicate that selective breeding for high voluntary exercise has resulted in changes in allele frequencies for multiple genes associated with both motivation and ability for endurance exercise, providing candidate genes that may explain phenotypic changes observed in previous studies.
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Affiliation(s)
- David A Hillis
- Genetics, Genomics, and Bioinformatics Graduate Program, University of California, Riverside, California 92521
| | - Liran Yadgary
- Department of Genetics, University of North Carolina at Chapel Hill, North Carolina 27599
| | - George M Weinstock
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032
| | | | - Daniel Pomp
- Department of Genetics, University of North Carolina at Chapel Hill, North Carolina 27599
| | - Alexandra S Fowler
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California 92521
| | - Shizhong Xu
- Department of Botany and Plant Sciences, University of California, Riverside, California 92521
| | - Frank Chan
- Friedrich Miescher Laboratory of the Max Planck Society, 72076 Tübingen, Germany
| | - Theodore Garland
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California 92521
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18
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Lee CG, Moon H, Park S. The effects of dopamine receptor genes on the trajectories of sport participation from adolescence through young adulthood. Ann Hum Biol 2020; 47:256-262. [PMID: 32183536 DOI: 10.1080/03014460.2020.1736629] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background: Although previous studies suggest that dopamine receptor genes partially affect physical activity-related behaviours, all of these studies were cross-sectional studies that examined the effects of dopamine receptor genes on physical activity-related behaviours at some point in time. Therefore, the nature and extent of this relationship across the lifespan are even more uncertain.Aim: The purpose of this study is to examine the effects of dopamine receptor genes (i.e. DRD2, DRD4 and DRD5) on sport participation trajectories from adolescence to young adulthood.Subjects and methods: This study used the National Longitudinal Study of Adolescent Health data (wave 1-4). Group-based trajectory modelling was used to investigate the effect of dopamine receptor genes on the probability of being in each sport participation trajectory group.Results: A three-group model was the best fitting model for men whereas a two-group model was the best fitting model for women. The more participants possess the A1 allele of the DRD2, the less likely they are to be in the "high-decreasing group" rather than the "low-stable group" in both men and women. In male participants, the more participants carry the A1 allele of the DRD2, the more likely they are to be in the "high-stable group" rather than the "high-decreasing group" (coefficient = 0.206, p<.05).Conclusions: These results can contribute to the literature by providing important information on the effects of dopamine receptor genes on sport participation trajectories from adolescence through young adulthood.
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Affiliation(s)
- Chung Gun Lee
- Department of Physical Education, College of Education, Seoul National University, Seoul, South Korea
| | - Hyoyoul Moon
- Department of Physical Education, College of Education, Seoul National University, Seoul, South Korea
| | - Seiyeong Park
- Department of Physical Education, College of Education, Seoul National University, Seoul, South Korea
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19
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Goleva-Fjellet S, Bjurholt AM, Kure EH, Larsen IK, Støren Ø, Sæbø M. Distribution of allele frequencies for genes associated with physical activity and/or physical capacity in a homogenous Norwegian cohort- a cross-sectional study. BMC Genet 2020; 21:8. [PMID: 31973699 PMCID: PMC6979285 DOI: 10.1186/s12863-020-0813-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 01/16/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND There are large individual differences in physical activity (PA) behavior as well as trainability of physical capacity. Heritability studies have shown that genes may have as much impact on exercise participation behavior as environmental factors. Genes that favor both trainability and participation may increase the levels of PA. The present study aimed to assess the allele frequencies in genes associated with PA and/or physical capacity, and to see if there is any association between these polymorphisms and self-reported PA levels in a cohort of middle-aged Norwegians of Scandinavian descent (n = 831; mean age mean age (± SD) 55.5 ± 3.8 years). RESULTS The genotype distributions of the ACTN3 R577X, ACE I/D and MAOA uVNTR polymorphisms were similar to other populations of European descent. When comparing the genotype distribution between the low/medium level PA group (LMPA) and high level PA groups (HPA), a significant difference in ACTN3 577X allele distribution was found. The X allele frequency was 10% lower in the HPA level group (P = 0.006). There were no differences in the genotype distribution of the ACE I/D or MAOA uVNTR polymorphism. Education and previous participation in sports or outdoor activities was positively associated with the self-reported PA levels (P ≤ 0.001). CONCLUSIONS To the best of our knowledge, this is the first study to report association between ACTN3 R577X genotype and PA level in middle-aged Scandinavians. Nevertheless, the contribution of a single polymorphism to a complex trait, like PA level, is likely small. Socioeconomic variables, as education and previous participation in sports or outdoor activities, are positively associated with the self-reported PA levels.
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Affiliation(s)
- Sannija Goleva-Fjellet
- Department of Natural Sciences and Environmental Health, University of South-Eastern Norway, Gullbringvegen 36, 3800, Bø i, Telemark, Norway.
| | - Anne Mari Bjurholt
- Department of Sports, Physical Education and Outdoor Studies, University of South-Eastern Norway, Gullbringvegen 36, 3800, Bø i, Telemark, Norway
| | - Elin H Kure
- Department of Natural Sciences and Environmental Health, University of South-Eastern Norway, Gullbringvegen 36, 3800, Bø i, Telemark, Norway.,Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-The Norwegian Radium Hospital, Oslo, Norway
| | | | - Øyvind Støren
- Department of Sports, Physical Education and Outdoor Studies, University of South-Eastern Norway, Gullbringvegen 36, 3800, Bø i, Telemark, Norway
| | - Mona Sæbø
- Department of Natural Sciences and Environmental Health, University of South-Eastern Norway, Gullbringvegen 36, 3800, Bø i, Telemark, Norway
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20
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Genetic variants associated with exercise performance in both moderately trained and highly trained individuals. Mol Genet Genomics 2020; 295:515-523. [DOI: 10.1007/s00438-019-01639-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 12/16/2019] [Indexed: 12/11/2022]
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Abstract
Exercise is a well-known non-pharmacologic agent used to prevent and treat a wide range of pathologic conditions such as metabolic and cardiovascular disease. In this sense, the classic field of exercise physiology has determined the main theoretical and practical bases of physiologic adaptations in response to exercise. However, the last decades were marked by significant advances in analytical laboratory techniques, where the field of biochemistry, genetics and molecular biology promoted exercise science to enter a new era. Regardless of its application, whether in the field of disease prevention or performance, the association of molecular biology with exercise physiology has been fundamental for unveiling knowledge of the molecular mechanisms related to the adaptation to exercise. This chapter will address the natural evolution of exercise physiology toward genetics and molecular biology, emphasizing the collection of integrated analytical approaches that composes the OMICS and their contribution to the field of molecular exercise physiology.
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22
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Tam V, Patel N, Turcotte M, Bossé Y, Paré G, Meyre D. Benefits and limitations of genome-wide association studies. Nat Rev Genet 2019; 20:467-484. [PMID: 31068683 DOI: 10.1038/s41576-019-0127-1] [Citation(s) in RCA: 1100] [Impact Index Per Article: 183.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Genome-wide association studies (GWAS) involve testing genetic variants across the genomes of many individuals to identify genotype-phenotype associations. GWAS have revolutionized the field of complex disease genetics over the past decade, providing numerous compelling associations for human complex traits and diseases. Despite clear successes in identifying novel disease susceptibility genes and biological pathways and in translating these findings into clinical care, GWAS have not been without controversy. Prominent criticisms include concerns that GWAS will eventually implicate the entire genome in disease predisposition and that most association signals reflect variants and genes with no direct biological relevance to disease. In this Review, we comprehensively assess the benefits and limitations of GWAS in human populations and discuss the relevance of performing more GWAS.
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Affiliation(s)
- Vivian Tam
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Nikunj Patel
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Michelle Turcotte
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Yohan Bossé
- Institut Universitaire de Cardiologie et de Pneumologie de Québec-Université Laval, Québec City, Québec, Canada.,Department of Molecular Medicine, Laval University, Québec City, Quebec, Canada
| | - Guillaume Paré
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - David Meyre
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada. .,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada. .,Inserm UMRS 954 N-GERE (Nutrition-Genetics-Environmental Risks), University of Lorraine, Faculty of Medicine, Nancy, France.
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23
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Flack K, Pankey C, Ufholz K, Johnson L, Roemmich JN. Genetic variations in the dopamine reward system influence exercise reinforcement and tolerance for exercise intensity. Behav Brain Res 2019; 375:112148. [PMID: 31404557 DOI: 10.1016/j.bbr.2019.112148] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 08/08/2019] [Accepted: 08/08/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Exercise is a reinforcing behavior and finding exercise highly reinforcing is characteristic of habitual exercisers. Genotypes related to dopamine metabolism moderate the reinforcing value of behaviors, but genetic moderators of exercise reinforcement have not been established. PURPOSE Determine whether singular nucleotide polymorphisms (SNPs) that moderate central reward pathways and pain neurotransmission are associated with exercise reinforcement, tolerance for exercise intensity, and usual physical activity. METHODS Adults (n = 178) were measured for the reinforcing value of exercise relative to sedentary activities (RRVexercise), minutes of moderate-to-vigorous physical activity (MVPA) and completed the Preference for and Tolerance of the Intensity of Exercise Questionnaire. Genotyping of 23 SNPs known to influence central dopamine tone, pain, or physical activity was performed. ANOVA tested differences in RRVexercise, tolerance, and MVPA among genotype groups. Linear regression controlling for BMI, sex, and liking of exercise was used to further predict the association of genotype on RRVexercise, tolerance, and MVPA. RESULTS Having at least one copy of the G allele for the DRD2/ANKK1 polymorphism (rs1800497) conferred greater RRVexercise. Greater tolerance for exercise intensity was observed among those homozygous for the T allele for the CNR1 polymorphism (rs6454672), had at least one copy of the G allele for the GABRG3 polymorphism (rs8036270), or had at least one copy of the T allele for the LPR polymorphism (rs12405556). Homozygous individuals for the T allele at rs6454672 exhibited greater MVPA. CONCLUSION Similar to other reinforcing behaviors, there is a genetic contribution to exercise reinforcement, tolerance for exercise intensity, and MVPA.
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Affiliation(s)
- Kyle Flack
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, KY, USA; USDA, Agricultural Research Service, Grand Forks Human Nutrition Research Center, 2420 2ndAve N., Grand Forks, ND, USA.
| | - Christopher Pankey
- USDA, Agricultural Research Service, Grand Forks Human Nutrition Research Center, 2420 2ndAve N., Grand Forks, ND, USA; Department of Biomedical Sciences, West Virginia School of Osteopathic Medicine, Lewisburg, WV, USA
| | - Kelsey Ufholz
- USDA, Agricultural Research Service, Grand Forks Human Nutrition Research Center, 2420 2ndAve N., Grand Forks, ND, USA
| | - LuAnn Johnson
- USDA, Agricultural Research Service, Grand Forks Human Nutrition Research Center, 2420 2ndAve N., Grand Forks, ND, USA
| | - James N Roemmich
- USDA, Agricultural Research Service, Grand Forks Human Nutrition Research Center, 2420 2ndAve N., Grand Forks, ND, USA
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24
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Espinosa-Salinas I, de la Iglesia R, Colmenarejo G, Molina S, Reglero G, Martinez JA, Loria-Kohen V, Ramirez de Molina A. GCKR rs780094 Polymorphism as A Genetic Variant Involved in Physical Exercise. Genes (Basel) 2019; 10:E570. [PMID: 31357711 PMCID: PMC6722860 DOI: 10.3390/genes10080570] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 07/24/2019] [Accepted: 07/25/2019] [Indexed: 01/05/2023] Open
Abstract
Exercise performance is influenced by genetics. However, there is a lack of knowledge about the role played by genetic variability in the frequency of physical exercise practice. The objective was to identify genetic variants that modulate the commitment of people to perform physical exercise and to detect those subjects with a lower frequency practice. A total of 451 subjects were genotyped for 64 genetic variants related to inflammation, circadian rhythms, vascular function as well as energy, lipid and carbohydrate metabolism. Physical exercise frequency question and a Minnesota Leisure Time Physical Activity Questionnaire (MLTPAQ) were used to qualitatively and quantitatively measure the average amount of physical exercise. Dietary intake and energy expenditure due to physical activity were also studied. Differences between genotypes were analyzed using linear and logistic models adjusted for Bonferroni. A significant association between GCKR rs780094 and the times the individuals performed physical exercise was observed (p = 0.004). The carriers of the minor allele showed a greater frequency of physical exercise in comparison to the major homozygous genotype carriers (OR: 1.86, 95% CI: 1.36-2.56). The analysis of the GCKR rs780094 variant suggests a possible association with the subjects that present lower frequency of physical exercise. Nevertheless, future studies are needed to confirm these findings.
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Affiliation(s)
| | - Rocio de la Iglesia
- Nutrition and Clinical Trials Unit, IMDEA Food CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Pharmaceutical and Health Sciences, Faculty of Pharmacy Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28925 Madrid, Spain
| | - Gonzalo Colmenarejo
- Biostatistics and Bioinformatics Unit, IMDEA Food CEI UAM + CSIC, 28049 Madrid, Spain
| | - Susana Molina
- Nutrition and Clinical Trials Unit, IMDEA Food CEI UAM + CSIC, 28049 Madrid, Spain
| | - Guillermo Reglero
- Nutrition and Clinical Trials Unit, IMDEA Food CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Production and Characterization of New Foods, Institute of Food Science Research (CIAL) CEI UAM + CSIC, 28049 Madrid, Spain
| | - J Alfredo Martinez
- Nutrition and Clinical Trials Unit, IMDEA Food CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Food Sciences and Physiology, University of Navarra, 31009 Pamplona, Spain
- CIBERobn, Instituto Carlos III, 28029 Madrid, Spain
| | - Viviana Loria-Kohen
- Nutrition and Clinical Trials Unit, IMDEA Food CEI UAM + CSIC, 28049 Madrid, Spain.
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25
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Hara M, Hachiya T, Sutoh Y, Matsuo K, Nishida Y, Shimanoe C, Tanaka K, Shimizu A, Ohnaka K, Kawaguchi T, Oze I, Matsuda F, Ito H, Kawai S, Hishida A, Okada R, Sasakabe T, Hirata A, Ibusuki R, Nindita Y, Furusyo N, Ikezaki H, Kuriyama N, Ozaki E, Mikami H, Nakamura Y, Suzuki S, Hosono A, Katsuura-Kamano S, Arisawa K, Kuriki K, Endoh K, Takashima N, Kadota A, Nakatochi M, Momozawa Y, Kubo M, Naito M, Wakai K. Genomewide Association Study of Leisure-Time Exercise Behavior in Japanese Adults. Med Sci Sports Exerc 2019; 50:2433-2441. [PMID: 30102679 PMCID: PMC6282671 DOI: 10.1249/mss.0000000000001712] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Supplemental digital content is available in the text. Purpose Although several genetic factors may play a role in leisure-time exercise behavior, there is currently no evidence of a significant genomewide association, and candidate gene replication studies have produced inconsistent results. Methods We conducted a two-stage genomewide association study and candidate single-nucleotide polymorphisms (SNP) association study on leisure-time exercise behavior using 13,980 discovery samples from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study, and 2036 replication samples from the Hospital-based Epidemiologic Research Program at Aichi Cancer Center-2 study. Leisure-time physical activity was measured using a self-administered questionnaire that inquired about the type, frequency and duration of exercise. Participants with ≥4 MET·h·wk−1 of leisure-time physical activity were defined as exhibiting leisure-time exercise behavior. Association testing using mixed linear regression models was performed on the discovery and replication samples, after which the results were combined in a meta-analysis. In addition, we tested six candidate genetic variants derived from previous genomewide association study. Results We found that one novel SNP (rs10252228) located in the intergenic region between NPSR1 and DPY19L1 was significantly associated with leisure-time exercise behavior in discovery samples. This association was also significant in replication samples (combined P value by meta-analysis = 2.2 × 10−9). Several SNP linked with rs10252228 were significantly associated with gene expression of DPY19L1 and DP19L2P1 in skeletal muscle, heart, whole blood, and the nervous system. Among the candidate SNP, rs12612420 in DNAPTP6 demonstrated nominal significance in discovery samples but not in replication samples. Conclusions We identified a novel genetic variant associated with regular leisure-time exercise behavior. Further functional studies are required to validate the role of these variants in exercise behavior.
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Affiliation(s)
- Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, JAPAN
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, JAPAN
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, JAPAN
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, JAPAN.,Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, JAPAN
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, JAPAN
| | - Chisato Shimanoe
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, JAPAN
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, JAPAN
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, JAPAN
| | - Keizo Ohnaka
- Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, JAPAN
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, JAPAN
| | - Isao Oze
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, JAPAN
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, JAPAN
| | - Hidemi Ito
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, JAPAN.,Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.,Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, JAPAN
| | - Sayo Kawai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.,Department of Public Health, Aichi Medical University, School of Medicine, Aichi, JAPAN
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN
| | - Tae Sasakabe
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.,Department of Public Health, Aichi Medical University, School of Medicine, Aichi, JAPAN
| | - Akie Hirata
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, JAPAN
| | - Rie Ibusuki
- Department of International Island and Community Medicine Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, JAPAN
| | - Yora Nindita
- Department of International Island and Community Medicine Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, JAPAN.,Department of Pharmacology and Therapeutic, Faculty of Medicine, Diponegoro University, Semarang, INDONESIA
| | - Norihiro Furusyo
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, JAPAN
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, JAPAN
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, JAPAN
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, JAPAN
| | - Haruo Mikami
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, JAPAN
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, JAPAN
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, JAPAN
| | - Akihiro Hosono
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, JAPAN
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tsukuba, JAPAN
| | - Kokichi Arisawa
- Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tsukuba, JAPAN
| | - Kiyonori Kuriki
- Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, JAPAN
| | - Kaori Endoh
- Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, JAPAN
| | - Naoyuki Takashima
- Department of Public Health, Shiga University of Medical Science, Shiga, JAPAN
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Shiga, JAPAN.,Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Shiga, JAPAN
| | - Masahiro Nakatochi
- Statistical Analysis Section, Center for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, JAPAN
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Riken Center for Integrative Medical Sciences, Yokohama, JAPAN
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, JAPAN
| | - Mariko Naito
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.,Department of Oral Epidemiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, JAPAN
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN
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26
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Letsinger AC, Granados JZ, Little SE, Lightfoot JT. Alleles associated with physical activity levels are estimated to be older than anatomically modern humans. PLoS One 2019; 14:e0216155. [PMID: 31034533 PMCID: PMC6488090 DOI: 10.1371/journal.pone.0216155] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 04/15/2019] [Indexed: 12/20/2022] Open
Abstract
The purpose of this study was to determine the estimated mutation age and conservation of single-nucleotide polymorphisms (SNPs) associated with physical activity (PA) in humans. All human SNPs found to be significantly associated with PA levels in the literature were cross-referenced with the National Heart, Lung, and Blood Institute's Grand Opportunity Exome Sequencing Project to find estimated African-American (AA) and European-American (EA) mutation age. As a secondary measure of mutation age, SNPs were searched for in Hawk's mutation age prediction database which utilizes linkage equilibrium. To determine conservation among hominids, all SNPs were searched in the University of California, Santa Cruz Genome Browser, which contains Neanderthal and chimpanzee reference genomes. Six of the 104 SNPs associated with PA regulation were exon-located missense variants found in IFNAR2, PPARGC1A, PML, CTBP2, IL5RA, and APOE genes. The remaining 98 SNPs were located in non-protein coding regions. Average AA and EA estimated mutation age of the exon-located SNPs were 478.4 ± 327.5 kya and 542.1 ± 369.4 kya, respectively. There were four selective sweeps (suggestive of strong positive selection) of SNPs in humans when compared to Neanderthal or chimpanzee genomes. Exon-located PA candidate SNPs are older than the hypothesized emergence of anatomically modern humans. However, 95% of PA associated SNPs are found in intron and intergenic location. Across all SNPs, there seems to be a high level of conservation of alleles between humans, Neanderthals, and chimpanzees. However, the presence of four selective sweeps suggests there were selection pressures or drift unique to Homo sapiens that influenced the development of mutations associated with PA regulation.
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Affiliation(s)
- Ayland C. Letsinger
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, United States of America
| | - Jorge Z. Granados
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, United States of America
| | - Sarah E. Little
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, United States of America
| | - J. Timothy Lightfoot
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, United States of America
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27
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Zhang X, Speakman JR. Genetic Factors Associated With Human Physical Activity: Are Your Genes Too Tight To Prevent You Exercising? Endocrinology 2019; 160:840-852. [PMID: 30721946 DOI: 10.1210/en.2018-00873] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 01/30/2019] [Indexed: 12/31/2022]
Abstract
The benefits of physical activity (PA) on health and fitness are well known. It has become apparent from studies of heritability that there is a considerable genetic component to PA. However, PA is such a complex phenotype that the measurement and quantification of it provide a challenge to a clearer understanding of its genetic basis. In this review, we assessed available evidence from family and twin studies that have estimated the heritability of PA. Heritability is greater when evaluated by accelerometry compared with questionnaires, and for questionnaires higher in twin than family studies. Accelerometry studies suggest heritability of PA is 51% to 56%. There have been many genome-wide linkage studies, candidate gene studies, and four genome-wide association studies that have highlighted specific genetic factors linked to different PA levels. These studies have generally failed to replicate identified loci, with the exception of the melanocortin 4 receptor, and this may be because of the variability in the measurement techniques used to characterize the behavior. Future work should aim to standardize the procedures used to measure PA in the context of trying to identify genetic causes. The link of genetics to physical exercise is not so tight that it prevents voluntary interventions.
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Affiliation(s)
- Xueying Zhang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, People's Republic of China
- University of Chinese Academy of Sciences, Shijingshan District, Beijing, People's Republic of China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - John R Speakman
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, People's Republic of China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
- CAS Center of Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, People's Republic of China
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28
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Lightfoot JT, DE Geus EJC, Booth FW, Bray MS, DEN Hoed M, Kaprio J, Kelly SA, Pomp D, Saul MC, Thomis MA, Garland T, Bouchard C. Biological/Genetic Regulation of Physical Activity Level: Consensus from GenBioPAC. Med Sci Sports Exerc 2019; 50:863-873. [PMID: 29166322 DOI: 10.1249/mss.0000000000001499] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
PURPOSE Physical activity unquestionably maintains and improves health; however, physical activity levels globally are low and not rising despite all the resources devoted to this goal. Attention in both the research literature and the public policy domain has focused on social-behavioral factors; however, a growing body of literature suggests that biological determinants play a significant role in regulating physical activity levels. For instance, physical activity level, measured in various manners, has a genetic component in both humans and nonhuman animal models. This consensus article, developed as a result of an American College of Sports Medicine-sponsored round table, provides a brief review of the theoretical concepts and existing literature that supports a significant role of genetic and other biological factors in the regulation of physical activity. CONCLUSIONS Future research on physical activity regulation should incorporate genetics and other biological determinants of physical activity instead of a sole reliance on social and other environmental determinants.
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Affiliation(s)
- J Timothy Lightfoot
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Eco J C DE Geus
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Frank W Booth
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Molly S Bray
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Marcel DEN Hoed
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Jaakko Kaprio
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Scott A Kelly
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Daniel Pomp
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Michael C Saul
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Martine A Thomis
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Theodore Garland
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Claude Bouchard
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
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29
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Fletcher GF, Landolfo C, Niebauer J, Ozemek C, Arena R, Lavie CJ. Reprint of: Promoting Physical Activity and Exercise. J Am Coll Cardiol 2018; 72:3053-3070. [DOI: 10.1016/j.jacc.2018.10.025] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 08/21/2018] [Indexed: 12/12/2022]
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30
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Reddon H, Patel Y, Turcotte M, Pigeyre M, Meyre D. Revisiting the evolutionary origins of obesity: lazy versus peppy-thrifty genotype hypothesis. Obes Rev 2018; 19:1525-1543. [PMID: 30261552 DOI: 10.1111/obr.12742] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 06/26/2018] [Accepted: 07/01/2018] [Indexed: 12/31/2022]
Abstract
The recent global obesity epidemic is attributed to major societal and environmental changes, such as excessive energy intake and sedentary lifestyle. However, exposure to 'obesogenic' environments does not necessarily result in obesity at the individual level, as 40-75% of body mass index variation in population is attributed to genetic differences. The thrifty genotype theory posits that genetic variants promoting efficient food sequestering and optimal deposition of fat during periods of food abundance were evolutionarily advantageous for the early hunter-gatherer and were positively selected. However, the thrifty genotype is likely too simplistic and fails to provide a justification for the complex distribution of obesity predisposing gene variants and for the broad range of body mass index observed in diverse ethnic groups. This review proposes that gene pleiotropy may better account for the variability in the distribution of obesity susceptibility alleles across modern populations. We outline the lazy-thrifty versus peppy-thrifty genotype hypothesis and detail the body of evidence in the literature in support of this novel concept. Future population genetics and mathematical modelling studies that account for pleiotropy may further improve our understanding of the evolutionary origins of the current obesity epidemic.
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Affiliation(s)
- H Reddon
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - Y Patel
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - M Turcotte
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - M Pigeyre
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada
| | - D Meyre
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada
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31
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Fletcher GF, Landolfo C, Niebauer J, Ozemek C, Arena R, Lavie CJ. Promoting Physical Activity and Exercise. J Am Coll Cardiol 2018; 72:1622-1639. [DOI: 10.1016/j.jacc.2018.08.2141] [Citation(s) in RCA: 276] [Impact Index Per Article: 39.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 08/21/2018] [Indexed: 01/03/2023]
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32
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Guerder S, Hassel C, Carrier A. Thymus-specific serine protease, a protease that shapes the CD4 T cell repertoire. Immunogenetics 2018; 71:223-232. [PMID: 30225612 DOI: 10.1007/s00251-018-1078-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 08/22/2018] [Indexed: 12/22/2022]
Abstract
The lifespan of T cells is determined by continuous interactions of their T cell receptors (TCR) with self-peptide-MHC (self-pMHC) complexes presented by different subsets of antigen-presenting cells (APC). In the thymus, developing thymocytes are positively selected through recognition of self-pMHC presented by cortical thymic epithelial cells (cTEC). They are subsequently negatively selected by medullary thymic epithelial cells (mTEC) or thymic dendritic cells (DC) presenting self-pMHC complexes. In the periphery, the homeostasis of mature T cells is likewise controlled by the interaction of their TCR with self-pMHC complexes presented by lymph node stromal cells while they may be tolerized by DC presenting tissue-derived self-antigens. To perform these tasks, the different subsets of APC are equipped with distinct combination of antigen processing enzymes and consequently present specific repertoire of self-peptides. Here, we discuss one such antigen processing enzyme, the thymus-specific serine protease (TSSP), which is predominantly expressed by thymic stromal cells. In thymic DC and TEC, TSSP edits the repertoire of peptide presented by class II molecules and thus shapes the CD4 T cell repertoire.
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Affiliation(s)
- Sylvie Guerder
- INSERM, U1043, 31300, Toulouse, France. .,CNRS, UMR5282, 31300, Toulouse, France. .,Centre de Physiopathologie de Toulouse Purpan, Université Toulouse III Paul-Sabatier, 31300, Toulouse, France. .,INSERM UMR1043, Centre de Physiopathologie de Toulouse Purpan, CHU Purpan, BP 3028, 31024, Toulouse CEDEX 3, France.
| | - Chervin Hassel
- INSERM, U1043, 31300, Toulouse, France.,CNRS, UMR5282, 31300, Toulouse, France.,Centre de Physiopathologie de Toulouse Purpan, Université Toulouse III Paul-Sabatier, 31300, Toulouse, France
| | - Alice Carrier
- Aix-Marseille University, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Marseille, France
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33
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Lin X, Chan KKH, Huang YT, Luo X, Liang L, Wilson J, Correa A, Levy D, Liu S. Genetic Determinants for Leisure-Time Physical Activity. Med Sci Sports Exerc 2018; 50:1620-1628. [PMID: 29538177 PMCID: PMC6087666 DOI: 10.1249/mss.0000000000001607] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
PURPOSE Leisure-time physical activity (LTPA) is a well-established modifiable lifestyle determinant for multiple cardiometabolic outcomes. However, current understanding of the genetic architecture that may determine LTPA remains very limited. Therefore, we aimed to examine the role of genetic factors in affecting LTPA, which has yet to be investigated comprehensively and in-depth. METHODS We conducted a genomewide analysis using 1000 Genomes Project imputed data from the Women's Health Initiative (n = 11,865), the Jackson Heart Study (n = 3015), and the Framingham Heart Study (n = 7339). A series of secondary analyses, including candidate gene analysis, sequence kernel association tests, pathway analysis, functional annotation, and expression quantitative trait loci analysis, were performed to follow-up on the primary findings. RESULTS Ethnicity-specific genetic signals were investigated, respectively, for African Americans and European Americans. Two variants, rs116550874 (meta-analysis: P = 1.63 × 10) and rs3792874 (meta-analysis: P = 8.33 × 10), were associated with LTPA in African Americans; rs28524846 (meta-analysis: P = 1.30 × 10) was identified for EA. We also replicated four previously reported loci (GABRG3, CYP19A1, PAPSS2, and CASR; P for lead single nucleotide polymorphisms < 0.005). Further fine-mapping and functional annotation suggested that several identified loci (novel and replicated) are involved in 1) the homeostatic drive coupled with the reward system and 2) the development and regulation of the capacity to perform LTPA. CONCLUSIONS To our knowledge, our analysis is the first to comprehensively investigate the genomewide signals for LTPA in multiple ethnicities. These findings support the notion that genetic predisposition plays a critical role in determining LTPA, of which the biological and clinical implications warrants further investigation.
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Affiliation(s)
- Xiaochen Lin
- Department of Epidemiology, Brown University, Providence, RI
- Center for Global Cardio-metabolic Health, Brown University, Providence, RI
| | - Katie Kei-hang Chan
- Department of Epidemiology, Brown University, Providence, RI
- Center for Global Cardio-metabolic Health, Brown University, Providence, RI
- Hong Kong Institute of Diabetes and Obesity, Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Yen-Tsung Huang
- Department of Epidemiology, Brown University, Providence, RI
- Department of Biostatistics, Brown University, Providence, RI
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Xi Luo
- Department of Biostatistics, Brown University, Providence, RI
| | - Liming Liang
- Department of Epidemiology and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - James Wilson
- Department of Physiology and Biophysics and Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Adolfo Correa
- The Jackson Heart Study and the Departments of Medicine and Pediatrics, University of Mississippi Medical Center, Jackson, MS
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA and the Population Sciences Branch, Nation Heart, Lung, and Blood Institute of the National Institute, Bethesda, MD
| | - Simin Liu
- Department of Epidemiology, Brown University, Providence, RI
- Center for Global Cardio-metabolic Health, Brown University, Providence, RI
- Division of Endocrinology, Department of Medicine, Alpert School of Medicine and Rhode Island Hospital, Providence, RI
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Jardí F, Laurent MR, Dubois V, Kim N, Khalil R, Decallonne B, Vanderschueren D, Claessens F. Androgen and estrogen actions on male physical activity: a story beyond muscle. J Endocrinol 2018; 238:R31-R52. [PMID: 29743340 DOI: 10.1530/joe-18-0125] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 05/09/2018] [Indexed: 12/15/2022]
Abstract
Physical inactivity is a pandemic that contributes to several chronic diseases and poses a significant burden on health care systems worldwide. The search for effective strategies to combat sedentary behavior has led to an intensification of the research efforts to unravel the biological substrate controlling activity. A wide body of preclinical evidence makes a strong case for sex steroids regulating physical activity in both genders, albeit the mechanisms implicated remain unclear. The beneficial effects of androgens on muscle as well as on other peripheral functions might play a role in favoring adaptation to exercise. Alternatively or in addition, sex steroids could act on specific brain circuitries to boost physical activity. This review critically discusses the evidence supporting a role for androgens and estrogens stimulating male physical activity, with special emphasis on the possible role of peripheral and/or central mechanisms. Finally, the potential translation of these findings to humans is briefly discussed.
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Affiliation(s)
- Ferran Jardí
- Clinical and Experimental EndocrinologyDepartment of Chronic Diseases, Metabolism and Ageing (CHROMETA), KU Leuven, Leuven, Belgium
| | - Michaël R Laurent
- Molecular Endocrinology LaboratoryDepartment of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Gerontology and GeriatricsDepartment of Chronic Diseases, Metabolism and Ageing (CHROMETA), KU Leuven, Leuven, Belgium
| | - Vanessa Dubois
- Molecular Endocrinology LaboratoryDepartment of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Nari Kim
- Clinical and Experimental EndocrinologyDepartment of Chronic Diseases, Metabolism and Ageing (CHROMETA), KU Leuven, Leuven, Belgium
| | - Rougin Khalil
- Clinical and Experimental EndocrinologyDepartment of Chronic Diseases, Metabolism and Ageing (CHROMETA), KU Leuven, Leuven, Belgium
| | - Brigitte Decallonne
- Clinical and Experimental EndocrinologyDepartment of Chronic Diseases, Metabolism and Ageing (CHROMETA), KU Leuven, Leuven, Belgium
| | - Dirk Vanderschueren
- Clinical and Experimental EndocrinologyDepartment of Chronic Diseases, Metabolism and Ageing (CHROMETA), KU Leuven, Leuven, Belgium
| | - Frank Claessens
- Molecular Endocrinology LaboratoryDepartment of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
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Klimentidis YC, Raichlen DA, Bea J, Garcia DO, Wineinger NE, Mandarino LJ, Alexander GE, Chen Z, Going SB. Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE. Int J Obes (Lond) 2018; 42:1161-1176. [PMID: 29899525 PMCID: PMC6195860 DOI: 10.1038/s41366-018-0120-3] [Citation(s) in RCA: 255] [Impact Index Per Article: 36.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 04/03/2018] [Accepted: 04/30/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND/OBJECTIVES Physical activity (PA) protects against a wide range of diseases. Habitual PA appears to be heritable, motivating the search for specific genetic variants that may inform efforts to promote PA and target the best type of PA for each individual. SUBJECTS/METHODS We used data from the UK Biobank to perform the largest genome-wide association study of PA to date, using three measures based on self-report (nmax = 377,234) and two measures based on wrist-worn accelerometry data (nmax = 91,084). We examined genetic correlations of PA with other traits and diseases, as well as tissue-specific gene expression patterns. With data from the Atherosclerosis Risk in Communities (ARIC; n = 8,556) study, we performed a meta-analysis of our top hits for moderate-to-vigorous PA (MVPA). RESULTS We identified ten loci across all PA measures that were significant in both a basic and a fully adjusted model (p < 5 × 10-9). Upon meta-analysis of the nine top hits for MVPA with results from ARIC, eight were genome-wide significant. Interestingly, among these, the rs429358 variant in the APOE gene was the most strongly associated with MVPA, whereby the allele associated with higher Alzheimer's risk was associated with greater MVPA. However, we were not able to rule out possible selection bias underlying this result. Variants in CADM2, a gene previously implicated in obesity, risk-taking behavior and other traits, were found to be associated with habitual PA. We also identified three loci consistently associated (p < 5 × 10-5) with PA across both self-report and accelerometry, including CADM2. We found genetic correlations of PA with educational attainment, chronotype, psychiatric traits, and obesity-related traits. Tissue enrichment analyses implicate the brain and pituitary gland as locations where PA-associated loci may exert their actions. CONCLUSIONS These results provide new insight into the genetic basis of habitual PA, and the genetic links connecting PA with other traits and diseases.
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Affiliation(s)
- Yann C Klimentidis
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
| | | | - Jennifer Bea
- Department of Medicine, University of Arizona, Tucson, AZ, USA
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA
| | - David O Garcia
- Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | | | - Lawrence J Mandarino
- Center for Disparities in Diabetes, Obesity and Metabolism, Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Gene E Alexander
- Departments of Psychology and Psychiatry, Neuroscience and Physiological Sciences Interdisciplinary Programs, BIO5 Institute, and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
- Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Zhao Chen
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Scott B Going
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA
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Bruneau M, Walsh S, Selinsky E, Ash G, Angelopoulos TJ, Clarkson P, Gordon P, Moyna N, Visich P, Zoeller R, Thompson P, Gordish‐Dressman H, Hoffman E, Devaney J, Pescatello LS. A genetic variant in IL-15Rα correlates with physical activity among European-American adults. Mol Genet Genomic Med 2018; 6:401-408. [PMID: 29624921 PMCID: PMC6014439 DOI: 10.1002/mgg3.368] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2017] [Revised: 12/08/2017] [Accepted: 12/27/2017] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Interleukin-15 (IL-15) is a myokine associated with muscle strength, possibly by attenuating protein breakdown. A variant in the alpha-receptor (IL-15Rα 1775 A>C, rs2228059) partially modulates the muscle strength and size response to resistance training. We examined if this polymorphism associated with habitual physical activity among European-American adults. METHODS Men (n = 240, 23.7 ± 0.3 year, body mass index [BMI] 25.3 ± 0.3 kg/m2 ) and women (n = 292, 23.2 ± 0.3 year, 24.0 ± 0.3 kg/m2 ) were genotyped. Physical activity phenotypes were derived from the Paffenbarger Physical Activity Questionnaire. Analysis of covariance (ancova) tested log-transformed differences between the IL-15Rα genotype and physical activity phenotypes by gender with age and BMI as covariates. RESULTS Men with the IL-15Rα 1775AA genotype spent more time in light intensity physical activity (39.4 ± 2.4 hr/week) than men with the CC genotype (28.6 ± 2.3 hr/week, (p = .009). CONCLUSION Further research is needed to confirm our finding and determine the possible mechanisms by which the IL-15Rα variant modulates light intensity physical activity.
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Affiliation(s)
| | - Sean Walsh
- Central Connecticut State UniversityNew BritainCTUSA
| | | | | | | | | | | | | | | | | | | | | | - Eric Hoffman
- Cooperative International Neuromuscular Research GroupWashingtonDCUSA
| | | | - Linda S. Pescatello
- University of ConnecticutStorrsCTUSA
- University of Connecticut Institute for Systems GenomicsStorrsCTUSA
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Rosso AL, Metti AL, Glynn NW, Boudreau RM, Rejeski WJ, Bohnen N, Chen H, Johannsen NM, King AC, Manini TM, Pahor M, Studenski SA, Fragoso CAV, Rosano C. Dopamine-Related Genotypes and Physical Activity Change During an Intervention: The Lifestyle Interventions and Independence for Elders Study. J Am Geriatr Soc 2018; 66:1172-1179. [PMID: 29637543 DOI: 10.1111/jgs.15369] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVES To determine whether intervention-induced physical activity (PA) changes in sedentary older adults differed according to dopamine-related genotype. DESIGN Randomized clinical trial (Lifestyle Interventions and Independence for Elders Trial (2010-13)). SETTING Multicenter study, 8 U.S. LOCATIONS PARTICIPANTS Volunteer sample of sedentary adults aged 70 to 89 at risk of disability (N=1635). INTERVENTIONS Structured PA versus health education (HE) for an average of 2.6 years. MEASUREMENTS Single-nucleotide polymorphisms of dopamine-related genes (dopamine receptor (DR) D1, DRD2, DRD3, and catechol-O-methyltransferase (COMT)) were assessed. Average moderate to vigorous PA (MVPA) was calculated using accelerometry (min/d) at baseline and 6, 12, and 24 months. Between-arm MVPA differences according to genotype and genotype with square root-transformed MVPA separately according to arm were tested, stratified according to race, and adjusted for multiple comparisons. RESULTS White participants in the PA arm (n=513) had higher average square root transformed MVPA (4.91±1.91)than those in the HE arm (n=538) (4.51±1.82) (p=.001). Between-arm differences were greater for DRD2 Met/Met (high dopamine; HE: 4.76±1.80, PA: 5.53±1.60, p=.03) than Val/Val (low dopamine; HE: 4.58±1.92, PA: 4.81±1.83, p=.16); results were similar for COMT. In the PA arm, DRD2 Met/Met was associated with higher average MVPA (5.39±2.00) than Met/Val (4.46±2.51) (p=.01) and Val/Val (4.65±2.71) (p=.01). There were no associations for other genes. Associations were not significant in blacks but followed similar trends. CONCLUSION Higher dopamine signaling may support changes in PA during an intervention. The role of dopamine-related pathways in promoting PA participation and enhancing response to interventions in sedentary older adults should be studied. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01072500.
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Affiliation(s)
- Andrea L Rosso
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Andrea L Metti
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Nancy W Glynn
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Robert M Boudreau
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - W Jack Rejeski
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina
| | - Nicolaas Bohnen
- Department of Neurology, University of Michigan, Ann Arbor, Michigan.,Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - Haiying Chen
- Department of Biostatistical Sciences, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Neil M Johannsen
- School of Kinesiology, Louisiana State University, Baton Rouge, Louisiana
| | - Abby C King
- Department of Health Research and Policy, Stanford University, Palo Alto, California
| | - Todd M Manini
- Department of Aging and Geriatric Research, University of Florida, Gainesville, Florida
| | - Marco Pahor
- Department of Aging and Geriatric Research, University of Florida, Gainesville, Florida
| | | | - Carlos A Vaz Fragoso
- Department of Geriatrics, School of Medicine, Yale University, New Haven, Connecticut
| | - Caterina Rosano
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
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Abstract
PURPOSE OF REVIEW Physical activity (PA) is a well-established modifiable lifestyle determinant for multiple cardio-metabolic outcomes. While many psychosocial and environmental correlates of PA have been identified, current understanding of the genetic architecture that contributes to PA is still very limited, especially when compared to other phenotypes such as obesity and diabetes. RECENT FINDINGS This review systematically and comprehensively assesses available evidence from animal experiments, family studies, population-based candidate gene analyses, and genome-wide association studies (GWAS) studying the genetics of physical activity patterns. It discusses the scientific evolution in the field of PA genetics, including the recognition of increased sample sizes, the shift from early family-based approaches to association-based design, and the rapidly advancement of enabling genotyping and sequencing technologies. In addition, this review points to the gaps in the current knowledge base, including the general lack of GWAS and whole-genome sequence analyses particularly understudied populations, and the need for large-scale collaborative effort in both observational and experimental settings. In this review, we also call for research utilizing systems biology strategies for PA genetic research and accounting for complex gene-environment interactions that may vary by race/ethnicity. The epidemic of physical inactivity has been a public health nemesis, encompassing a large burden of diseases and high societal costs. A better understanding of the genetic basis of PA can inform public health policies for the prevention, control, and treatment of many chronic diseases related to physical inactivity.
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Affiliation(s)
- Xiaochen Lin
- Department of Epidemiology, Brown University, Providence, RI, USA.,Center for Global Cardio-metabolic Health, Brown University, Providence, RI, USA
| | - Charles B Eaton
- Department of Epidemiology, Brown University, Providence, RI, USA.,Department of Family Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Simin Liu
- Department of Epidemiology, Brown University, Providence, RI, USA. .,Center for Global Cardio-metabolic Health, Brown University, Providence, RI, USA. .,Division of Endocrinology, Department of Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA. .,Department of Endocrinology, Guangdong General Hospital, Guangzhou, China. .,Department of Epidemiology and Medicine, Brown University, 121 South Main St, Providence, RI, 02903, USA.
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Pacheco C, Santos LHPD, Alves JO, Queiroz AND, Soares PM, Ceccatto VM. REGULAÇÃO GÊNICA DA VIA AMPK PELO EXERCÍCIO FÍSICO: REVISÃO SISTEMÁTICA E ANÁLISE IN SILICO. REV BRAS MED ESPORTE 2017. [DOI: 10.1590/1517-869220172304169935] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
RESUMO Introdução: Novos estudos de regulação gênica do exercício físico por meio de técnicas pós-genômicas em ensaios de resistência (endurance) e força caracterizam a transcriptômica do exercício físico. Entre os genes afetados, destacamos a via da proteína quinase ativada por AMP (AMPK), cuja ativação ocorre durante o exercício como resultado das alterações dos níveis de fosfato energético da fibra muscular. Objetivo: Avaliar a via de sinalização da AMPK por revisão sistemática da expressão de genes e análise in silico. Método: Foi efetuada uma revisão sistemática para avaliar a regulação gênica da via de sinalização AMPK, caracterizando os genes estudados na literatura, as variações de regulação obtidas, na forma de fold change e tipos de exercício usados. Resultados: A via de sinalização AMPK mostrou 133 genes no repositório KEGG (Kyoto Encyclopedia of Genes and Genomes), os quais foram confrontados com a revisão sistemática da literatura, totalizando 65 genes. Dezessete genes apresentaram UR e 24 mostraram DR com relação ao seu respectivo controle. Além destes, 20 genes estavam presentes nos trabalhos, apresentando tanto UR e DR e quatro genes não apresentaram dados de regulação. Verificou-se regulação específica em função do tipo de exercício efetuado. Discussão: Dos 133 genes da via AMPK, 48,8% foram amostrados nos trabalhos revisados, indicando que uma parte significativa da via é regulada pelo exercício. O estudo apresentou a regulação gênica básica de dois mecanismos para a recuperação energética, a biogênese mitocondrial e o bloqueio da gliconeogênese. Conclusão: Este trabalho mostrou que o exercício atua ativamente na via de sinalização da AMPK, na importância da regulação via PGC-1α e no papel de outros genes, regulando a expressão de mais da metade dos genes amostrados.
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Bruneau M, Angelopoulos TJ, Gordon P, Moyna N, Visich P, Zoeller R, Seip R, Bilbie S, Thompson P, Devaney J, Gordish-Dressman H, Hoffman E, Pescatello LS. The angiotensin-converting enzyme insertion/deletion polymorphism rs4340 associates with habitual physical activity among European American adults. Mol Genet Genomic Med 2017; 5:524-530. [PMID: 28944236 PMCID: PMC5606874 DOI: 10.1002/mgg3.308] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Revised: 05/13/2017] [Accepted: 05/22/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism (rs4340) (ACE DIP) accounts for half of the variability in plasma ACE concentrations. ACE has been widely studied for its influence on sports performance; however, research on its influence in physical activity is limited and inconsistent. We examined the influence of the ACE DIP on physical activity among 461 European Americans. METHODS Subjects completed the Paffenbarger Physical Activity Questionnaire for weekly walking distance. Multivariate analysis of covariance (MANCOVA) tested log-transformed differences in weekly walking distance among ACE DIP genotypes (II, ID, DD) with gender as a fixed factor, and age and body mass index (BMI) as covariates. Because we found a significant ACE DIPxBMI interaction (P = 0.03), we categorized the sample by normal weight (NW: BMI<25.0 kg/m2) and overweight (OW: BMI ≥25.0 kg/m2) and repeated the MANCOVA with multiple comparison adjustments. RESULTS NW adults with ACE II walked 15.8 ± 11.1 km/week, ID 13.2 ± 10.6 km/week, and DD 17.9 ± 13.0 km/week, with ID walking less than II (P = 0.03) and DD (P = 0.01). OW adults with ACE II walked 16.7 ± 12.6 km/week, ID 13.8 ± 11.6 km/week, and DD 9.7 ± 9.0 km/week, with DD walking less than II (P = 0.02). Weekly walking distance was 8.2 ± 2.4 km/week less among OW adults with ACE DD than NW (P = 0.02). CONCLUSION BMI interacted with ACE DD such that OW walked ~8.2 km/week less than NW, potentially equating to a body weight differential of ~3.5 kg annually.
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Affiliation(s)
| | | | | | | | | | | | - Rick Seip
- Hartford HealthcareHartfordConnecticut
| | | | | | - Joseph Devaney
- Children's National Medical CenterWashingtonDistrict of Columbia
| | | | - Eric Hoffman
- Cooperative International Neuromuscular Research GroupWashingtonDistrict of Columbia
| | - Linda S Pescatello
- University of ConnecticutStorrsConnecticut.,University of Connecticut Institute for Systems GenomicsStorrsConnecticut
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Peter I, Papandonatos GD, Belalcazar LM, Yang Y, Erar B, Jakicic JM, Unick JL, Balasubramanyam A, Lipkin EW, Delahanty LM, Wagenknecht LE, Wing RR, McCaffery JM, Huggins GS. Genetic modifiers of cardiorespiratory fitness response to lifestyle intervention. Med Sci Sports Exerc 2017; 46:302-11. [PMID: 23899896 DOI: 10.1249/mss.0b013e3182a66155] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE Numerous prospective studies indicate that improved cardiorespiratory fitness reduces type 2 diabetes risk and delays disease progression. We hypothesized that genetic variants modify fitness response to an intensive lifestyle intervention (ILI) in the Action for Health in Diabetes (Look AHEAD) randomized clinical trial, aimed to detect whether ILI will reduce cardiovascular events in overweight/obese subjects with type 2 diabetes compared with a standard of care. METHODS Polymorphisms in established fitness genes and in all loci assayed on the Illumina CARe iSelect chip were examined as predictors of change in MET level, estimated using a treadmill test, in response to a 1-yr intervention in 3899 participants. RESULTS We identified a significant signal in previously reported fitness-related gene RUNX1 that was associated with 1-yr METs response in ILI (0.19 ± 0.04 MET less improvement per minor allele copy; P = 1.9 × 10(-5)) and genotype-intervention interaction (P = 4.8 × 10(-3)). In the chipwide analysis, FKBP7 rs17225700 showed a significant association with ILI response among subjects not receiving beta-blocker medications (0.47 ± 0.09 METs less improvement; P = 5.3 × 10(-5)) and genotype-treatment interaction (P = 5.3 × 10(-7)). The Gene Relationships Among Implicated Loci pathway-based analysis identified connections between associated genes, including those influencing vascular tone, muscle contraction, cardiac energy substrate dynamics, and muscle protein synthesis. CONCLUSIONS This is the first study to identify genetic variants associated with fitness responses to a randomized lifestyle intervention in overweight/obese diabetic individuals. RUNX1 and FKBP7, involved in erythropoesis and muscle protein synthesis, respectively, are related to change in cardiorespiratory fitness in response to exercise.
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Affiliation(s)
- Inga Peter
- 1Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, NY; 2Center for Statistical Sciences, Brown University, Providence, RI; 3Department of Medicine, University of Texas Medical Branch, Galveston, TX; 4Department of Health and Physical Activity, Physical Activity and Weight Management Research Center, University of Pittsburgh, Pittsburgh, PA; 5Weight Control and Diabetes Research Center, Department of Psychiatry and Human Behavior, The Miriam Hospital and Brown Medical School, Providence, RI; 6Translational Metabolism Unit, Diabetes Research Center, Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX; 7Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA; 8Diabetes Research Center, Massachusetts General Hospital and Department of Medicine, Harvard Medical School, Boston, MA; 9Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC; and 10Molecular Cardiology Research Institute, Center for Translational Genomics, Tufts Medical Center and Tufts University, Boston, MA
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Ben-Avraham D, Karasik D, Verghese J, Lunetta KL, Smith JA, Eicher JD, Vered R, Deelen J, Arnold AM, Buchman AS, Tanaka T, Faul JD, Nethander M, Fornage M, Adams HH, Matteini AM, Callisaya ML, Smith AV, Yu L, De Jager PL, Evans DA, Gudnason V, Hofman A, Pattie A, Corley J, Launer LJ, Knopman DS, Parimi N, Turner ST, Bandinelli S, Beekman M, Gutman D, Sharvit L, Mooijaart SP, Liewald DC, Houwing-Duistermaat JJ, Ohlsson C, Moed M, Verlinden VJ, Mellström D, van der Geest JN, Karlsson M, Hernandez D, McWhirter R, Liu Y, Thomson R, Tranah GJ, Uitterlinden AG, Weir DR, Zhao W, Starr JM, Johnson AD, Ikram MA, Bennett DA, Cummings SR, Deary IJ, Harris TB, Kardia SLR, Mosley TH, Srikanth VK, Windham BG, Newman AB, Walston JD, Davies G, Evans DS, Slagboom EP, Ferrucci L, Kiel DP, Murabito JM, Atzmon G. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY) 2017; 9:209-246. [PMID: 28077804 PMCID: PMC5310665 DOI: 10.18632/aging.101151] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 12/26/2016] [Indexed: 01/08/2023]
Abstract
Emerging evidence suggests that the basis for variation in late-life mobility is attributable, in part, to genetic factors, which may become increasingly important with age. Our objective was to systematically assess the contribution of genetic variation to gait speed in older individuals. We conducted a meta-analysis of gait speed GWASs in 31,478 older adults from 17 cohorts of the CHARGE consortium, and validated our results in 2,588 older adults from 4 independent studies. We followed our initial discoveries with network and eQTL analysis of candidate signals in tissues. The meta-analysis resulted in a list of 536 suggestive genome wide significant SNPs in or near 69 genes. Further interrogation with Pathway Analysis placed gait speed as a polygenic complex trait in five major networks. Subsequent eQTL analysis revealed several SNPs significantly associated with the expression of PRSS16, WDSUB1 and PTPRT, which in addition to the meta-analysis and pathway suggested that genetic effects on gait speed may occur through synaptic function and neuronal development pathways. No genome-wide significant signals for gait speed were identified from this moderately large sample of older adults, suggesting that more refined physical function phenotypes will be needed to identify the genetic basis of gait speed in aging.
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Affiliation(s)
- Dan Ben-Avraham
- Department of Medicine and Genetics Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - David Karasik
- Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02131, USA
- Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, Israel
| | - Joe Verghese
- Integrated Divisions of Cognitive & Motor Aging (Neurology) and Geriatrics (Medicine), Montefiore-Einstein Center for the Aging Brain, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Kathryn L. Lunetta
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - John D. Eicher
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
- Population Sciences Branch, National Heart Lung and Blood Institute, Framingham, MA 01702, USA
| | - Rotem Vered
- Psychology Department, University of Haifa, Haifa, Israel
| | - Joris Deelen
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
- Max Planck Institute for Biology of Ageing, Köln, Germany
| | - Alice M. Arnold
- Department of Biostatistics, University of Washington, Seattle, WA 98115, USA
| | - Aron S. Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60614, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore MD 21224, USA
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Maria Nethander
- Bioinformatics Core Facility, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Myriam Fornage
- The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Hieab H. Adams
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Amy M. Matteini
- Division of Geriatric Medicine, Johns Hopkins Medical Institutes, Baltimore, MD 21224, USA
| | - Michele L. Callisaya
- Medicine, Peninsula Health, Peninsula Clinical School, Central Clinical School, Frankston, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Albert V. Smith
- Icelandic Heart Association, Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60614, USA
| | - Philip L. De Jager
- Broad Institute of Harvard and MIT, Cambridge, Harvard Medical School, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Denis A. Evans
- Rush Institute for Healthy Aging and Department of Internal Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Alison Pattie
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Janie Corley
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Neeta Parimi
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Stephen T. Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Marian Beekman
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Danielle Gutman
- Department of Human Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
| | - Lital Sharvit
- Department of Human Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
| | - Simon P. Mooijaart
- Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherland
| | - David C. Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Jeanine J. Houwing-Duistermaat
- Genetical Statistics, Leiden University Medical Center, Leiden, Netherland. Department of Statistics, University of Leeds, Leeds, UK
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska, Academy, University of Gothenburg, Gothenburg, Sweden
| | - Matthijs Moed
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Dan Mellström
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska, Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Magnus Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| | - Rebekah McWhirter
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC 27109, USA
| | - Russell Thomson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- School of Computing, Engineering and Mathematics, University of Western Sydney, Sydney, Australia
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Andre G. Uitterlinden
- Department of Internal Medicine, Erasmus MC, and Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Andrew D. Johnson
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
- Population Sciences Branch, National Heart Lung and Blood Institute, Framingham, MA 01702, USA
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
| | - David A. Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60614, USA
| | - Steven R. Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Ian J. Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Thomas H. Mosley
- University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Velandai K. Srikanth
- Medicine, Peninsula Health, Peninsula Clinical School, Central Clinical School, Frankston, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | | | - Ann B. Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Jeremy D. Walston
- Division of Geriatric Medicine, Johns Hopkins Medical Institutes, Baltimore, MD 21224, USA
| | - Gail Davies
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Eline P. Slagboom
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore MD 21224, USA
| | - Douglas P. Kiel
- Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02131, USA
- Broad Institute of Harvard and MIT, Boston, MA 02131, USA
| | - Joanne M. Murabito
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Gil Atzmon
- Department of Medicine and Genetics Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Human Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
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Rees T, Hardy L, Güllich A, Abernethy B, Côté J, Woodman T, Montgomery H, Laing S, Warr C. The Great British Medalists Project: A Review of Current Knowledge on the Development of the World's Best Sporting Talent. Sports Med 2016; 46:1041-58. [PMID: 26842017 PMCID: PMC4963454 DOI: 10.1007/s40279-016-0476-2] [Citation(s) in RCA: 148] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
The literature base regarding the development of sporting talent is extensive, and includes empirical articles, reviews, position papers, academic books, governing body documents, popular books, unpublished theses and anecdotal evidence, and contains numerous models of talent development. With such a varied body of work, the task for researchers, practitioners and policy makers of generating a clear understanding of what is known and what is thought to be true regarding the development of sporting talent is particularly challenging. Drawing on a wide array of expertise, we address this challenge by avoiding adherence to any specific model or area and by providing a reasoned review across three key overarching topics: (a) the performer; (b) the environment; and (c) practice and training. Within each topic sub-section, we review and calibrate evidence by performance level of the samples. We then conclude each sub-section with a brief summary, a rating of the quality of evidence, a recommendation for practice and suggestions for future research. These serve to highlight both our current level of understanding and our level of confidence in providing practice recommendations, but also point to a need for future studies that could offer evidence regarding the complex interactions that almost certainly exist across domains.
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Affiliation(s)
- Tim Rees
- Department of Sport and Physical Activity, Faculty of Management, Bournemouth University, Dorset House, Talbot Campus, Fern Barrow, Poole, BH12 5BB, UK.
| | - Lew Hardy
- Sport, Health and Exercise Sciences, Bangor University, George Building, Bangor, Gwynedd, LL57 2PZ, UK
| | - Arne Güllich
- Department of Sport Science, University of Kaiserslautern, Erwin Schrödinger Street, 67663, Kaiserslautern, Germany
| | - Bruce Abernethy
- School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioral Sciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Jean Côté
- School of Kinesiology and Health Studies, SKHS Building 28 Division Street, Queen's University, Kingston, ON, K7L 3N, Canada
| | - Tim Woodman
- Sport, Health and Exercise Sciences, Bangor University, George Building, Bangor, Gwynedd, LL57 2PZ, UK
| | - Hugh Montgomery
- School of Life and Medical Sciences, University College London, Rockefeller Building, 20, University Street, London, WC1E 6DE, UK
| | - Stewart Laing
- UK Sport, 21 Bloomsbury Street, London, WC1B 3HF, UK
| | - Chelsea Warr
- UK Sport, 21 Bloomsbury Street, London, WC1B 3HF, UK
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Ghani M, Sato C, Kakhki EG, Gibbs JR, Traynor B, St George-Hyslop P, Rogaeva E. Mutation analysis of the MS4A and TREM gene clusters in a case-control Alzheimer's disease data set. Neurobiol Aging 2016; 42:217.e7-217.e13. [PMID: 27084067 DOI: 10.1016/j.neurobiolaging.2016.03.009] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Revised: 03/10/2016] [Accepted: 03/13/2016] [Indexed: 11/28/2022]
Abstract
Genome wide association studies have identified an association between Alzheimer's disease (AD) and common polymorphisms in the MS4A and TREM loci (each containing a cluster of homologous genes) and should be thoroughly investigated for the presence of potentially functional variations. We conducted a mutation analysis by next generation sequencing of 15 genes within the MS4A and TREM gene clusters; and catalogued rare coding variants detected in a North American data set of 210 cases and 233 controls. Investigation of the 5 homologues genes in the TREM locus revealed potentially damaging rare variants in TREM2, TREML1, TREML2, and TREML4. In agreement with a previous report, we observed a significant enrichment of TREM2-damaging missense substitutions in cases (N = 9; 4.2%) compared with controls (N=2; 0.9%; p = 0.010; after Yates' correction p = 0.022). Among known AD-associated TREM2 substitutions, we detected p.R47H, p.D87N, and p.H157Y affecting both TREM2 isoforms (NM_018965 and NM_001271821). In addition, we identified 2 cases with novel TREM2 variants (p.L205P and p.G219C), which mapped only to the isoform NM_001271821 at the C-terminus. Investigation of the MS4A gene cluster revealed that potentially damaging missense substitutions and loss-of-function variants were twice as frequent in controls (N = 19; 8.2%) than cases (N = 9; 4.3%), generating a nominally significant result (p = 0.047; after Yates' correction p = 0.07). Validation of our observation in large data sets might address the question whether such variants could contribute to the protective effect of the minor alleles of Genome wide association study-significant single nucleotide polymorphisms at the MS4A locus.
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Affiliation(s)
- Mahdi Ghani
- Tanz Centre for Research in Neurodegenerative Diseases, and Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Christine Sato
- Tanz Centre for Research in Neurodegenerative Diseases, and Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Erfan Ghani Kakhki
- Tanz Centre for Research in Neurodegenerative Diseases, and Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - J Raphael Gibbs
- Computational Biology Core, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Bryan Traynor
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Peter St George-Hyslop
- Tanz Centre for Research in Neurodegenerative Diseases, and Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Cambridge Institute for Medical Research, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, and Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
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Kerksick CM, Tsatsakis AM, Hayes AW, Kafantaris I, Kouretas D. How can bioinformatics and toxicogenomics assist the next generation of research on physical exercise and athletic performance. J Strength Cond Res 2015; 29:270-8. [PMID: 25353080 DOI: 10.1519/jsc.0000000000000730] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The past 2-3 decades have seen an explosion in analytical areas related to "omic" technologies. These advancements have reached a point where their application can be and are being used as a part of exercise physiology and sport performance research. Such advancements have drastically enabled researchers to analyze extremely large groups of data that can provide amounts of information never before made available. Although these "omic" technologies offer exciting possibilities, the analytical costs and time required to complete the statistical approaches are substantial. The areas of exercise physiology and sport performance continue to witness an exponential growth of published studies using any combination of these techniques. Because more investigators within these traditionally applied science disciplines use these approaches, the need for efficient, thoughtful, and accurate extraction of information from electronic databases is paramount. As before, these disciplines can learn much from other disciplines who have already developed software and technologies to rapidly enhance the quality of results received when searching for key information. In addition, further development and interest in areas such as toxicogenomics could aid in the development and identification of more accurate testing programs for illicit drugs, performance enhancing drugs abused in sport, and better therapeutic outcomes from prescribed drug use. This review is intended to offer a discussion related to how bioinformatics approaches may assist the new generation of "omic" research in areas related to exercise physiology and toxicogenomics. Consequently, more focus will be placed on popular tools that are already available for analyzing such complex data and highlighting additional strategies and considerations that can further aid in developing new tools and data management approaches to assist future research in this field. It is our contention that introducing more scientists to how this type of work can complement existing experimental approaches within exercise physiology and sport performance will foster additional discussion and stimulate new research in these areas.
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Affiliation(s)
- Chad M Kerksick
- 1Department of Exercise Science, School of Sport, Recreation and Exercise Sciences, Lindenwood University, St. Charles, Missouri; 2Department of Forensic Sciences and Toxicology, Laboratory of Toxicology, Medical School, University of Crete, Heraklion, Greece; 3Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts; 4Spherix Consulting, Inc., Bethesda, Maryland; and 5Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece
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Copy number variants associated with 18p11.32, DCC and the promoter 1B region of APC in colorectal polyposis patients. Meta Gene 2015; 7:95-104. [PMID: 26909336 PMCID: PMC4733217 DOI: 10.1016/j.mgene.2015.12.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Revised: 12/16/2015] [Accepted: 12/21/2015] [Indexed: 01/05/2023] Open
Abstract
Familial Adenomatous Polyposis (FAP) is the second most common inherited predisposition to colorectal cancer (CRC) associated with the development of hundreds to thousands of adenomas in the colon and rectum. Mutations in APC are found in ~ 80% polyposis patients with FAP. In the remaining 20% no genetic diagnosis can be provided suggesting other genes or mechanisms that render APC inactive may be responsible. Copy number variants (CNVs) remain to be investigated in FAP and may account for disease in a proportion of polyposis patients. A cohort of 56 polyposis patients and 40 controls were screened for CNVs using the 2.7M microarray (Affymetrix) with data analysed using ChAS (Affymetrix). A total of 142 CNVs were identified unique to the polyposis cohort suggesting their involvement in CRC risk. We specifically identified CNVs in four unrelated polyposis patients among CRC susceptibility genes APC, DCC, MLH1 and CTNNB1 which are likely to have contributed to disease development in these patients. A recurrent deletion was observed at position 18p11.32 in 9% of the patients screened that was of particular interest. Further investigation is necessary to fully understand the role of these variants in CRC risk given the high prevalence among the patients screened.
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Key Words
- ALL, acute lymphoblastic leukaemia
- BH, Bengamini and Hochberg
- CHAS, Chromosome Analysis Suite
- CN, copy number
- CNV
- CNV, copy number variation
- COSMIC, Catalogue of Somatic Mutations in Cancer
- CRC, colorectal cancer
- Cancer
- DGV, Database of genomic variants
- DNA, deoxyribose nucleic acid
- FAP, familial adenomatous polyposis
- HMDD, human microRNA disease database
- KEGG, Kyoto Encyclopaedia of Genes and Genomes
- Kb, kilobase
- LOH, loss of heterozygosity
- MLPA, multiplex ligation-dependant probe amplification
- MMR, mismatch repair
- NTC, no template control
- QC, quality control
- RNA, ribose nucleic acid
- SNP, single nucleotide polymorphism
- TAM, Tool for the annotation of microRNAs
- TCGA, The Cancer Genome Atlas
- UCSC, University of California, Santa Cruz
- diagnostic testing
- lncRNA, link RNA
- long non-coding RNAs
- mapd, median absolute pairwise difference
- miR, microRNA
- ng, nanogram
- polyposis
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Subjective and objective physical activity patterns after Roux-en Y gastric bypass surgery compared with non-operated obese and non-obese control women. Obes Res Clin Pract 2015; 10:49-55. [PMID: 25773510 DOI: 10.1016/j.orcp.2015.02.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Revised: 11/30/2014] [Accepted: 02/20/2015] [Indexed: 11/20/2022]
Abstract
INTRODUCTION Previous studies on physical activity after bariatric surgery provided inconsistent results. The aim of our study was to comprehensively assess physical activity by subjective (questionnaires) and objective (accelerometry) measures in women who had undergone Roux-en Y gastric bypass (RYGB) surgery and to compare results with those of women displaying grade II or higher obesity and of non-obese control women. METHODS Our cross-sectional case-control study included 12 women in each group (RYGB, obese, non-obese). Wrist accelerometry was performed over 5 days. Two questionnaires were used to assess women's self-reported leisure- and work-time and sport-related physical activity. RESULTS Accelerometry indicated a lower physical activity in RYGB women than in non-obese women in particular during the weekend (p=0.010), while there was no difference between RYGB and obese women (p=0.57). Questionnaires revealed that RYGB women self-report a greater leisure- and work-time physical activity than obese women and also greater work-related physical activity than non-obese women (all p≤0.032). In contrast, sport-related activities were reduced in RYGB as compared with non-obese women (p=0.011), while there was no difference between RYGB and obese women (p=0.51). Comparison of the obese and non-obese group revealed less leisure-time and sport-related activities in the obese women (both p≤0.002). DISCUSSION Despite the preliminary character of our rather small study, data suggest a differential physical activity pattern in women who have previously undergone RYGB surgery that is characterized by rare sport activities, an increased subjective work-related physical activity and objectively reduced physical activity during the weekend as compared with non-obese control women.
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Ceccarini G, Maffei M, Vitti P, Santini F. Fuel homeostasis and locomotor behavior: role of leptin and melanocortin pathways. J Endocrinol Invest 2015; 38:125-31. [PMID: 25501840 DOI: 10.1007/s40618-014-0225-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Accepted: 12/01/2014] [Indexed: 11/26/2022]
Abstract
BACKGROUND While it is now accepted that genes and their products affect food intake, the concept that locomotor behavior or the propensity for physical activity is controlled by neuro hum oral regulators is frequently underappreciated. In mammals, complex interactions have developed to allow the cross-talk between fuel homeostasis and physical activity. AIM The aim of this review is to provide a synopsis of the influence of the leptin-melanocortin pathway, a well-studied pivotal player in body weight regulation, on locomotor behaviors. CONCLUSIONS In rodents, reductions in leptin levels that physiologically occur following acute food deprivation or a reduction of the fat mass consequent to prolonged caloric restrictions are associated with a decrease in total locomotor activity and simultaneous increase in food-anticipatory activity, a locomotor behavior which reflects a foraging attitude. These actions can be prevented by leptin administration and are at least partially mediated by the neurons of the melanocortin pathway. In humans, twin studies have attributed to genetic factors approximately 50% of the variance of physical activity. An elevated number of the genes or loci which may affect physical activity are involved in body weight homeostasis. Polymorphisms of the melanocortin-4 and leptin receptors have repeatedly been associated with the level of physical activity. Unraveling the complexity of the regulation of locomotor behavior and the interconnections with the pathways involved in energy homeostasis may help explain the substantial individual variability in physical activities in humans and disentangle the harmful effects of sedentary lifestyle, which may be distinct from the detrimental effects of obesity.
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Affiliation(s)
- G Ceccarini
- Obesity Center at the Endocrine Unit, University Hospital of Pisa, Pisa, Italy.
| | - M Maffei
- Obesity Center at the Endocrine Unit, University Hospital of Pisa, Pisa, Italy
- National Research Council, Institute of Clinical Physiology, Pisa, Italy
| | - P Vitti
- Obesity Center at the Endocrine Unit, University Hospital of Pisa, Pisa, Italy
| | - F Santini
- Obesity Center at the Endocrine Unit, University Hospital of Pisa, Pisa, Italy.
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Chevalley T, Bonjour JP, van Rietbergen B, Ferrari S, Rizzoli R. Tracking of environmental determinants of bone structure and strength development in healthy boys: an eight-year follow up study on the positive interaction between physical activity and protein intake from prepuberty to mid-late adolescence. J Bone Miner Res 2014; 29:2182-92. [PMID: 24715534 DOI: 10.1002/jbmr.2247] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Revised: 03/15/2014] [Accepted: 03/28/2014] [Indexed: 11/09/2022]
Abstract
High protein (> median:Hprot) vs. moderate (< median:MProt) intake was shown to enhance the positive impact of high physical activity (HPA) on proximal femur BMC/aBMD/Area in healthy prepubertal boys. We tested the hypothesis that this synergistic effect would track and influence bone structure and strength until mid-adolescence. BMC/aBMD/Area was measured at femoral neck (FN) and total hip (TotHip) by DXA in 176 boys at 7.4 ± 0.4 and 15.2 ± 0.5 years (± SD). Distal tibia (DistTib) microstructure and strength were also assessed at 15.2 years by high-resolution peripheral computerized tomography (HR-pQCT) and micro-finite element analysis (µFEA). The positive impact of HProt vs. MProt on FN and TotHip BMC/aBMD/Area, recorded at 7.4 years remained unabated at 15.2 years. At this age, at DistTib, HProt-HPA vs. MProt-HPA was associated (p < 0.001) with larger cross-sectional area (CSA, mm(2) ), trabecular number (Tb.N, mm(-1) ) and lower trabecular separation (Tb.Sp, µm). The interaction between physical activity and protein intake was significant for CSA (p = 0.012) and Tb.N (p = 0.043). Under MProt (38.0 ± 6.9 g.d(-1)), a difference in PA from 168 ± 40 to 303 ± 54 kcal.d(-1) was associated with greater stiffness (kN/mm) and failure load (N) of +0.16 and +0.14 Z-score, respectively. In contrast, under HProt (56.2 ± 9.5 g.d(-1) ), a difference in PA of similar magnitude, from 167 ± 33 to 324 ± 80 kcal.d(-1) , was associated with a larger difference in stiffness and failure load of +0.50 and +0.57 Z-score, respectively. In conclusion, the positive influence of relatively HProt on the impact of HPA on proximal femur macrostructure tracks from prepuberty to mid-late puberty. At this stage, the impact of HProt on HPA is also associated with microstructural changes that should confer greater mechanical resistance to weight-bearing bones. These results underscore the importance of protein intake and exercise synergistic interaction in the early prevention of adult osteoporosis.
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Affiliation(s)
- Thierry Chevalley
- Division of Bone Diseases, University Hospitals and Faculty of Medicine, Geneva, Switzerland
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Joint identification of genetic variants for physical activity in Korean population. Int J Mol Sci 2014; 15:12407-21. [PMID: 25026172 PMCID: PMC4139850 DOI: 10.3390/ijms150712407] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Accepted: 06/11/2014] [Indexed: 01/30/2023] Open
Abstract
There has been limited research on genome-wide association with physical activity (PA). This study ascertained genetic associations between PA and 344,893 single nucleotide polymorphism (SNP) markers in 8842 Korean samples. PA data were obtained from a validated questionnaire that included information on PA intensity and duration. Metabolic equivalent of tasks were calculated to estimate the total daily PA level for each individual. In addition to single- and multiple-SNP association tests, a pathway enrichment analysis was performed to identify the biological significance of SNP markers. Although no significant SNP was found at genome-wide significance level via single-SNP association tests, 59 genetic variants mapped to 76 genes were identified via a multiple SNP approach using a bootstrap selection stability measure. Pathway analysis for these 59 variants showed that maturity onset diabetes of the young (MODY) was enriched. Joint identification of SNPs could enable the identification of multiple SNPs with good predictive power for PA and a pathway enriched for PA.
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