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Wang Y, Zhang Y, Zhao W, Cai W, Zhao C. Exploring the association between grip strength and adverse pregnancy and perinatal outcomes: A Mendelian randomization study. Heliyon 2024; 10:e33465. [PMID: 39027441 PMCID: PMC11254715 DOI: 10.1016/j.heliyon.2024.e33465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 06/21/2024] [Accepted: 06/21/2024] [Indexed: 07/20/2024] Open
Abstract
Background Previous observational studies have demonstrated an association between grip strength and detrimental pregnancy and perinatal outcomes. However, the causality of this relationship remains uncertain. Objective This study aims to investigate if there is a causal relationship between grip strength and adverse pregnancy and perinatal outcomes, providing evidence to support active intervention for adverse pregnancy outcomes. Study design A two-sample Mendelian randomization method was used to select GWAS data from the UK Biobank and the FinnGen Biobank as data sources. The inverse variance weighting method was used as the main analysis method. The reliability of the results was verified through sensitivity analysis, including Cochran's Q test, MR-egger intercept regression analysis, leave-one-out analysis, and funnel plot. Independent queues are also used to verify the reliability of the results. Results The study demonstrated a significant positive correlation between genetically predicted hand grip strength and offspring birth weight, specifically left-hand grip strength (β = 0.193, 95 % CI: 0.099-0.286, p = 0.0001) and right-hand grip strength (β = 0.310, 95 % CI: 0.235-0.384, p = 3.27E-16). Sensitivity analysis indicated no horizontal multi-effect, and leave-one-out analysis along with the funnel plot showed no abnormalities. The verification queue also yielded similar results. Conclusion This study revealed a significant association between grip strength-related traits and offspring birth weight, suggesting a potential protective effect. Moreover, a negative predictive trend was observed for other adverse pregnancy outcomes. Modifying grip strength through an active lifestyle and continuous monitoring of pregnant women's grip strength may have implications for improving pregnancy outcomes. However, further research is warranted to investigate these findings more comprehensively.
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Affiliation(s)
- Yanpeng Wang
- Department of Traditional Chinese Medicine, Changchun University of Chinese Medicine, 130117, China
| | - Yinzhen Zhang
- Department of Traditional Chinese Medicine, Changchun University of Chinese Medicine, 130117, China
| | - Wenhai Zhao
- Department of Orthopedics, The Affiliated Hospital to Changchun University of Chinese Medicine, 130021, China
| | - Wenjun Cai
- Department of Orthopedics, The Third Affiliated Hospital of Changchun University of Chinese Medicine, 130000, China
| | - Changwei Zhao
- Department of Orthopedics, The Affiliated Hospital to Changchun University of Chinese Medicine, 130021, China
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Fonseca ID, Fabbri LE, Moraes L, Coelho DB, Dos Santos FC, Rosse I. Pleiotropic effects on Sarcopenia subphenotypes point to potential molecular markers for the disease. Arch Gerontol Geriatr 2024; 127:105553. [PMID: 38970884 DOI: 10.1016/j.archger.2024.105553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 03/10/2024] [Accepted: 06/25/2024] [Indexed: 07/08/2024]
Abstract
Sarcopenia is a progressive age-related muscle disease characterized by low muscle strength, quantity and quality, and low physical performance. The clinical overlap between these subphenotypes (reduction in muscle strength, quantity and quality, and physical performance) was evidenced, but the genetic overlap is still poorly investigated. Herein, we investigated whether there is a genetic overlap amongst sarcopenia subphenotypes in the search for more effective molecular markers for this disease. For that, a Bioinformatics approach was used to identify and characterize pleiotropic effects at the genome, loci and gene levels using Genome-wide association study results. As a result, a high genetic correlation was identified between gait speed and muscle strength (rG=0.5358, p=3.39 × 10-8). Using a Pleiotropy-informed conditional and conjunctional false discovery rate method we identified two pleiotropic loci for muscle strength and gait speed, one of them was nearby the gene PHACTR1. Moreover, 11 pleiotropic loci and 25 genes were identified for muscle mass and muscle strength. Lastly, using a gene-based GWAS approach three candidate genes were identified in the overlap of the three Sarcopenia subphenotypes: FTO, RPS10 and CALCR. The current study provides evidence of genetic overlap and pleiotropy among sarcopenia subphenotypes and highlights novel candidate genes and molecular markers associated with the risk of sarcopenia.
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Affiliation(s)
- Isabela D Fonseca
- Programa de Pós-Graduação em Biotecnologia, Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil; Laboratório de Biologia Celular e Molecular, Núcleo de Pesquisas em Ciências Biológicas, Escola de Farmácia, Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro Ouro Preto, MG Brazil
| | - Luiz Eduardo Fabbri
- Faculdade de Ciências Farmacêuticas, Universidade Estadual de Campinas, Campinas, SP Brazil
| | - Lauro Moraes
- Laboratório Multiusuário de Bioinformática, Pós-Graduação em Biotecnologia, Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil
| | - Daniel B Coelho
- Laboratório de Fisiologia do Exercício da Escola de Educação Física, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil
| | - Fernanda C Dos Santos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health Toronto, ON Canada
| | - Izinara Rosse
- Programa de Pós-Graduação em Biotecnologia, Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil; Laboratório Multiusuário de Bioinformática, Pós-Graduação em Biotecnologia, Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil; Laboratório de Biologia Celular e Molecular, Núcleo de Pesquisas em Ciências Biológicas, Escola de Farmácia, Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro Ouro Preto, MG Brazil.
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Ito S, Takuwa H, Kakehi S, Someya Y, Kaga H, Kumahashi N, Kuwata S, Wakatsuki T, Kadowaki M, Yamamoto S, Abe T, Takeda M, Ishikawa Y, Liu X, Otomo N, Suetsugu H, Koike Y, Hikino K, Tomizuka K, Momozawa Y, Ozaki K, Isomura M, Nabika T, Kaneko H, Ishijima M, Kawamori R, Watada H, Tamura Y, Uchio Y, Ikegawa S, Terao C. A genome-wide association study identifies a locus associated with knee extension strength in older Japanese individuals. Commun Biol 2024; 7:513. [PMID: 38769351 PMCID: PMC11106293 DOI: 10.1038/s42003-024-06108-6] [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: 07/14/2023] [Accepted: 03/26/2024] [Indexed: 05/22/2024] Open
Abstract
Sarcopenia is a common skeletal muscle disease in older people. Lower limb muscle strength is a good predictive value for sarcopenia; however, little is known about its genetic components. Here, we conducted a genome-wide association study (GWAS) for knee extension strength in a total of 3452 Japanese aged 60 years or older from two independent cohorts. We identified a significant locus, rs10749438 which is an intronic variant in TACC2 (transforming acidic coiled-coil-containing 2) (P = 4.2 × 10-8). TACC2, encoding a cytoskeleton-related protein, is highly expressed in skeletal muscle, and is reported as a target of myotonic dystrophy 1-associated splicing alterations. These suggest that changes in TACC2 expression are associated with variations in muscle strength in older people. The association was consistently observed in young and middle-aged subjects. Our findings would shed light on genetic components of lower limb muscle strength and indicate TACC2 as a potential therapeutic target for sarcopenia.
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Affiliation(s)
- Shuji Ito
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Hiroshi Takuwa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Saori Kakehi
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Yuki Someya
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Graduate School of Health and Sports Science, Juntendo University, Inzai, 270-1695, Japan
| | - Hideyoshi Kaga
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Nobuyuki Kumahashi
- Department of Orthopedic Surgery, Matsue Red Cross Hospital, Matsue, 690-8506, Japan
| | - Suguru Kuwata
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Takuya Wakatsuki
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Masaru Kadowaki
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Soichiro Yamamoto
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Takafumi Abe
- The Center for Community-based Healthcare Research and Education (CoHRE), Shimane University, Izumo, 693-8501, Japan
| | - Miwako Takeda
- The Center for Community-based Healthcare Research and Education (CoHRE), Shimane University, Izumo, 693-8501, Japan
| | - Yuki Ishikawa
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Xiaoxi Liu
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Nao Otomo
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
- Department of Orthopaedic Surgery, School of Medicine, Keio University, Tokyo, 160-8582, Japan
| | - Hiroyuki Suetsugu
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
| | - Yoshinao Koike
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
- Department of Orthopedic Surgery, Hokkaido University Graduate School of Medicine, Sapporo, 060-8638, Japan
| | - Keiko Hikino
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Kohei Tomizuka
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Kouichi Ozaki
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan
| | - Minoru Isomura
- The Center for Community-based Healthcare Research and Education (CoHRE), Shimane University, Izumo, 693-8501, Japan
- Faculty of Human Sciences, Shimane University, Matsue, 690-8504, Japan
| | - Toru Nabika
- The Center for Community-based Healthcare Research and Education (CoHRE), Shimane University, Izumo, 693-8501, Japan
- Department of Functional Pathology, Shimane University School of Medicine, Izumo, 693-8501, Japan
| | - Haruka Kaneko
- Department of Medicine for Orthopaedics and Motor Organ, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Muneaki Ishijima
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Department of Medicine for Orthopaedics and Motor Organ, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Ryuzo Kawamori
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Hirotaka Watada
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Yoshifumi Tamura
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Yuji Uchio
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, 420-8527, Japan.
- The Department of Applied Genetics, The School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, 422-8526, Japan.
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Kirwan R, Mazidi M, Butler T, Perez de Heredia F, Lip GYH, Davies IG. The association of appendicular lean mass and grip strength with low-density lipoprotein, very low-density lipoprotein, and high-density lipoprotein particle diameter: a Mendelian randomization study of the UK Biobank cohort. EUROPEAN HEART JOURNAL OPEN 2024; 4:oeae019. [PMID: 38595990 PMCID: PMC11003544 DOI: 10.1093/ehjopen/oeae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 04/11/2024]
Abstract
Aims Reduced muscle mass and reduced strength are frequently associated with both alterations in blood lipids and poorer cardiometabolic outcomes in epidemiological studies; however, a causal association cannot be determined from such observations. Two-sample Mendelian randomization (MR) was applied to assess the association of genetically determined appendicular lean mass (ALM) and handgrip strength (HGS) with serum lipid particle diameter. Methods and results Mendelian randomization was implemented using summary-level data from the largest genome-wide association studies on ALM (n = 450 243), HGS (n = 223 315), and lipoprotein [low-density lipoprotein (LDL), very LDL (VLDL), and high-density lipoprotein (HDL)] particle diameters (n = 115 078). Inverse variance-weighted (IVW) method was used to calculate the causal estimates. Weighted median-based method, MR-Egger, and leave-one-out method were applied as sensitivity analysis. Greater ALM had a statistically significant positive effect on HDL particle diameter (MR-Egger: β = 0.055, SE = 0.031, P = 0.081; IVW: β = 0.068, SE = 0.014, P < 0.001) and a statistically significant negative effect on VLDL particle diameter (MR-Egger: β = -0.114, SE = 0.039, P = 0.003; IVW: β = -0.081, SE = 0.017, P < 0.001). Similarly, greater HGS had a statistically significant positive effect on HDL particle diameter (MR-Egger: β = 0.433, SE = 0.184, P = 0.019; IVW: β = 0.121, SE = 0.052, P = 0.021) and a statistically significant negative effect on VLDL particle diameter (MR-Egger: β = -0.416, SE = 0.163, P = 0.011; IVW: β = -0.122, SE = 0.046, P = 0.009). There was no statistically significant effect of either ALM or HGS on LDL particle diameter. Conclusion There were potentially causal associations between both increasing ALM and HGS and increasing HDL particle size and decreasing VLDL particle size. These causal associations may offer possibilities for interventions aimed at improving cardiovascular disease risk profile.
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Affiliation(s)
- Richard Kirwan
- Research Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Mohsen Mazidi
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK
- Clinical Trial Service Unit, Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Roosevelt Dr., Doll Bldg, Oxford, OX3 7LF, UK
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Tom Butler
- School of Applied Health and Social Care and Social Work, Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, UK
| | - Fatima Perez de Heredia
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Ian G Davies
- Research Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK
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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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Ginevičienė V, Pranckevičienė E, Kilaitė J, Mastavičiūtė A, Dadelienė R, Jamontaitė IE, Letukienė A, Ahmetov II, Alekna V. Bibliometric and scientometric analysis on biomarkers and molecular mechanisms for physical frailty and sarcopenia. Front Med (Lausanne) 2024; 11:1326764. [PMID: 38375321 PMCID: PMC10875138 DOI: 10.3389/fmed.2024.1326764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/19/2024] [Indexed: 02/21/2024] Open
Abstract
Introduction The influence of physical frailty and sarcopenia (PFS) on the well-being of older people and continuous pressure on the healthcare systems has prompted a research on the pathophysiology and molecular mechanisms of these conditions. Nonetheless some biomarkers have been suggested as potential markers for PFS none of them have been shown to highlight the complex nature of PFS, which reveals that there is a need for an understanding of the possible biomarker candidates. The aim of this study was to identify the current research hotspots, status, and trends in the field of biomarkers and molecular mechanisms for PFS. Methods The bibliometric and scientometric analyses were performed using VOSviewer (version 1.6.18) and open source software platform Cytoscape v.3.9 (for visualizing and constructing a network of keywords). Data of publications (from 1997 to 2023) related to biomarkers and molecular mechanisms of PFS were obtained (in May 2023) from the database of Science Citation Index Expanded of Web of Science, Scopus, and PubMed. The keywords obtained from the Scopus database were used to perform a meaningful keyword analysis. A network of keyword relationships was build using Cytoscape. Results In this study, we present biomarker keywords for PFS in relation to other keywords potentially designating processes and mechanisms and reveal the biomarker identities and current contexts in which these biomarker identities are discussed. Conclusions Over recent years, scientific interest in the field of PFS has increased and focused on the inflammatory process and probably will be concentrated on myokines (such as cytokines and small proteins) that are synthetized and released by skeletal muscles in response to physical activity. Moreover, proteomic and genetic markers are deeply involved in PFS.
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Affiliation(s)
| | - Erinija Pranckevičienė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Faculty of Informatics, Vytautas Magnus University, Kaunas, Lithuania
| | - Justina Kilaitė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Clinic of Internal Diseases and Family Medicine, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | | | - Rūta Dadelienė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | | | | | - Ildus I. Ahmetov
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
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Mendo CW, Gaudreau P, Lefebvre G, Marrie RA, Potter BJ, Wister A, Wolfson C, Keezer MR, Sylvestre MP. The association between grip strength and carotid intima media thickness: A Mendelian randomization analysis of the Canadian Longitudinal Study on Aging. Ann Epidemiol 2024; 89:15-20. [PMID: 38061557 DOI: 10.1016/j.annepidem.2023.12.001] [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: 07/11/2023] [Revised: 11/10/2023] [Accepted: 12/04/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Several two-sample Mendelian randomization studies have reported discordant results concerning the association between grip strength and cardiovascular disease, possibly due to the number of instrumental variables used, pleiotropic bias, and/ or effect modification by age and sex. METHODS We conducted a sex- and age-stratified one-sample Mendelian randomization study in the Canadian Longitudinal Study on Aging. We investigated whether grip strength is associated with carotid intima media thickness (cIMT), a marker of vascular atherosclerosis event risk, using eighteen single nucleotide polymorphisms (SNP) identified as specifically associated with grip strength. RESULTS A total of 20,258 participants of self-reported European ancestry were included in the analytic sample. Our Mendelian randomization findings suggest a statistically significant association between grip strength and cIMT (MR coefficient of 0.02 (95% CI: 0.01, 0.04)). We found no statistically significant differences between sexes (p-value = 0.201), or age groups [(≤ 60 years old versus >60 years old); p-value = 0.421]. CONCLUSION This study provides evidence that grip strength is inversely associated with cIMT. Our one-sample MR study design allowed us to demonstrate that there is no evidence of heterogeneity of effects according to age group or biological sex.
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Affiliation(s)
- Christian W Mendo
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; École de Santé Publique de l'Université de Montréal, Canada
| | - Pierrette Gaudreau
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; Département de Médecine de l'Université de Montréal, Canada
| | | | - Ruth A Marrie
- Max Rady College of Medicine, University of Manitoba, Canada
| | - Brian J Potter
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; Département de Médecine de l'Université de Montréal, Canada; Centre Cardiovasculaire du Centre hospitalier de l'Université de Montréal, Canada
| | - Andrew Wister
- Centre Cardiovasculaire du Centre hospitalier de l'Université de Montréal, Canada; Gerontology Research Centre, Simon Fraser University, Canada
| | - Christina Wolfson
- Departement of Gerontology, Simon Fraser University, Canada; Department of Medicine, McGill University, Canada; Research Institute of the McGill University Health Centre, Canada
| | - Mark R Keezer
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; École de Santé Publique de l'Université de Montréal, Canada; Department of Neurosciences, Université de Montréal, Canada
| | - Marie-Pierre Sylvestre
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; École de Santé Publique de l'Université de Montréal, Canada.
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Zhao X, Xu W, Gu Y, Li Z, Sun G. Causal associations between hand grip strength and pulmonary function: a two-sample Mendelian randomization study. BMC Pulm Med 2023; 23:459. [PMID: 37990169 PMCID: PMC10664596 DOI: 10.1186/s12890-023-02720-0] [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: 05/12/2023] [Accepted: 10/19/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Several observational studies have reported an association between hand grip strength (HGS) and pulmonary function (PF). However, causality is unclear. To investigate whether HGS and PF are causally associated, we performed Mendelian randomization (MR) analyses. METHODS We identified 110 independent single nucleotide polymorphisms (SNPs) for right-hand grip strength (RHGS) and 103 independent SNPs for left-hand grip strength (LHGS) at the genome-wide significant threshold (P < 5 × 10-8) from MRC-IEU Consortium and evaluated these related to PF. MR estimates were calculated using the inverse-variance weighted (IVW) method and multiple sensitivity analyses were further performed. RESULTS Genetical liability to HGS was positively causally associated with forced vital capacity (FVC) and forced expiratory volume in one second (FEV1), but not with FEV1/FVC. In addition, there was positive causal association between RHGS and FVC (OR=1.519; 95% CI, 1.418-1.627; P=8.96E-33), and FEV1 (OR=1.486; 95% CI, 1.390-1.589; P=3.19E-31); and positive causal association between LHGS and FVC (OR=1.464; 95% CI, 1.385-1.548; P=2.83E-41) and FEV1 (OR=1.419; 95% CI, 1.340-1.502; P=3.19E-33). Nevertheless, no associations were observed between RHGS and FEV1/FVC (OR=0.998; 95% CI, 0.902-1.103; P=9.62E-01) and between LHGS and FEV1/FVC (OR=0.966; 95% CI, 0.861-1.083; P=5.52E-01). Similar results were shown in several sensitivity analyses. CONCLUSION Our study provides support at the genetic level that HGS is positively causally associated with FVC and FEV1, but not with FEV1/FVC. Interventions for HGS in PF impairment deserve further exploration as potential indicators of PF assessment.
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Affiliation(s)
- Xianghu Zhao
- College of Sports Medicine, Wuhan Sports University, Wuhan, 430079, Hubei Province, China
- Department of Rehabilitation, Zhongda Hospital, Southeast University, Nanjing, 210009, Jiangsu Province, China
| | - Wenyuan Xu
- Graduate School, Anhui University of Chinese Medicine, Hefei, 230012, Anhui Province, China
| | - Yanchao Gu
- College of Sports Medicine, Wuhan Sports University, Wuhan, 430079, Hubei Province, China
| | - Zhanghua Li
- Department of Orthopedics, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, 430074, Hubei Province, China.
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, Jiangsu Province, China.
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9
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Wang DK, Li YH, Guo XM. Depression and sarcopenia-related traits: A Mendelian randomization study. World J Psychiatry 2023; 13:929-936. [DOI: 10.5498/wjp.v13.i11.929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 10/06/2023] [Accepted: 10/23/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Observational studies have suggested that depression is associated with sarcopenia. However, the causal relationship between depression and sarcopenia remains unclear.
AIM To investigate the causal relationship between depression and sarcopenia.
METHODS We performed a Mendelian randomization (MR) analysis to identify the bidirectional relationship between depression and sarcopenia-related traits. Summary-level data and independent variants used as instrumental variables came from large genome-wide association studies of depression (414055 cases and 892299 controls), of appendicular lean mass (ALM, 450243 participants), and of hand grip strength (exposure: 360000 participants; outcome: 334925 participants).
RESULTS We identified a negative association of depression with lower ALM [odds ratio (OR): 0.932, 95% confidence interval (95%CI): 0.889-0.979, P = 0.005]. In the reverse MR analysis, we also observed an inverse association of hand grip strength with depression (OR: 0.200, 95%CI: 0.108-0.370, P < 0.001). Similar results were obtained in sensitivity analyses.
CONCLUSION Depression was causally related to decreased muscle mass, and declined muscle strength might lead to a higher risk of depression.
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Affiliation(s)
- Ding-Kun Wang
- Department of Neurosurgery, Tongde Hospital of Zhejiang Province, Hangzhou 310016, Zhejiang Province, China
| | - Yi-Hao Li
- Department of Neurosurgery, Tongde Hospital of Zhejiang Province, Hangzhou 310016, Zhejiang Province, China
| | - Xiao-Ming Guo
- Department of Neurosurgery, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou 310012, Zhejiang Province, China
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10
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Nethander M, Movérare-Skrtic S, Kämpe A, Coward E, Reimann E, Grahnemo L, Borbély É, Helyes Z, Funck-Brentano T, Cohen-Solal M, Tuukkanen J, Koskela A, Wu J, Li L, Lu T, Gabrielsen ME, Mägi R, Hoff M, Lerner UH, Henning P, Ullum H, Erikstrup C, Brunak S, Langhammer A, Tuomi T, Oddsson A, Stefansson K, Pettersson-Kymmer U, Ostrowski SR, Pedersen OBV, Styrkarsdottir U, Mäkitie O, Hveem K, Richards JB, Ohlsson C. An atlas of genetic determinants of forearm fracture. Nat Genet 2023; 55:1820-1830. [PMID: 37919453 PMCID: PMC10632131 DOI: 10.1038/s41588-023-01527-3] [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: 01/27/2023] [Accepted: 09/13/2023] [Indexed: 11/04/2023]
Abstract
Osteoporotic fracture is among the most common and costly of diseases. While reasonably heritable, its genetic determinants have remained elusive. Forearm fractures are the most common clinically recognized osteoporotic fractures with a relatively high heritability. To establish an atlas of the genetic determinants of forearm fractures, we performed genome-wide association analyses including 100,026 forearm fracture cases. We identified 43 loci, including 26 new fracture loci. Although most fracture loci associated with bone mineral density, we also identified loci that primarily regulate bone quality parameters. Functional studies of one such locus, at TAC4, revealed that Tac4-/- mice have reduced mechanical bone strength. The strongest forearm fracture signal, at WNT16, displayed remarkable bone-site-specificity with no association with hip fractures. Tall stature and low body mass index were identified as new causal risk factors for fractures. The insights from this atlas may improve fracture prediction and enable therapeutic development to prevent fractures.
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Grants
- Wellcome Trust
- IngaBritt och Arne Lundbergs Forskningsstiftelse (Ingabritt and Arne Lundberg Research Foundation)
- Novo Nordisk Fonden (Novo Nordisk Foundation)
- Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation)
- the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement (ALFGBG-720331 and ALFGBG-965235)
- the Hungarian Brain research Program 3.0, Hungarian National Research, Development and Innovation Office (OTKA K- 138046, OTKA FK-137951, TKP2021-EGA-16), New National Excellence Program of the Ministry for Innovation and Technology (ÚNKP-22-5-PTE-1447), János Bolyai János Scholarship (BO/00496/21/5) of the Hungarian Academy of Sciences, Eotvos Lorad Research Network, National Laboratory for Drug Research and Development.
- Vetenskapsrådet (Swedish Research Council)
- Svenska Läkaresällskapet (Swedish Society of Medicine)
- Kempestiftelserna (Kempe Foundations)
- the Swedish Sports Research Council (87/06) the Medical Faculty of Umeå University (ALFVLL:968:22-2005, ALFVLL: 937-2006, ALFVLL:223:11-2007, ALFVLL:78151-2009) the county council of Västerbotten (Spjutspetsanslag VLL:159:33-2007)
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Affiliation(s)
- Maria Nethander
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Sofia Movérare-Skrtic
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anders Kämpe
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Eivind Coward
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ene Reimann
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Louise Grahnemo
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Éva Borbély
- Department of Pharmacology and Pharmacotherapy, Medical School, University of Pécs, Pécs, Hungary
- National Laboratory for Drug Research and Development, Budapest, Hungary
| | - Zsuzsanna Helyes
- Department of Pharmacology and Pharmacotherapy, Medical School, University of Pécs, Pécs, Hungary
- National Laboratory for Drug Research and Development, Budapest, Hungary
- Eotvos Lorand Research Network, Chronic Pain Research Group, University of Pécs, Pécs, Hungary
| | - Thomas Funck-Brentano
- BIOSCAR UMRS 1132, Université Paris Diderot, Sorbonne Paris Cité, INSERM, Paris, France
| | - Martine Cohen-Solal
- BIOSCAR UMRS 1132, Université Paris Diderot, Sorbonne Paris Cité, INSERM, Paris, France
| | - Juha Tuukkanen
- Department of Anatomy and Cell Biology, Faculty of Medicine, Institute of Cancer Research and Translational Medicine, University of Oulu, Oulu, Finland
| | - Antti Koskela
- Department of Anatomy and Cell Biology, Faculty of Medicine, Institute of Cancer Research and Translational Medicine, University of Oulu, Oulu, Finland
| | - Jianyao Wu
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lei Li
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Tianyuan Lu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Mari Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - Ulf H Lerner
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Petra Henning
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Endocrinology, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | - Kari Stefansson
- deCODE genetics, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | | | - Sisse Rye Ostrowski
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Copenhagen Hospital Biobank Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Ole Birger Vesterager Pedersen
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Koege, Denmark
| | | | - Outi Mäkitie
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Folkhälsan Institute of Genetics, Helsinki, Finland
- Children's Hospital and Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, and Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - J Brent Richards
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Drug Treatment, Gothenburg, Sweden.
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11
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Georgiou AN, Zagkos L, Markozannes G, Chalitsios CV, Asimakopoulos AG, Xu W, Wang L, Mesa‐Eguiagaray I, Zhou X, Loizidou EM, Kretsavos N, Theodoratou E, Gill D, Burgess S, Evangelou E, Tsilidis KK, Tzoulaki I. Appraising the Causal Role of Risk Factors in Coronary Artery Disease and Stroke: A Systematic Review of Mendelian Randomization Studies. J Am Heart Assoc 2023; 12:e029040. [PMID: 37804188 PMCID: PMC7615320 DOI: 10.1161/jaha.122.029040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/27/2023] [Indexed: 10/09/2023]
Abstract
BACKGROUND Mendelian randomization (MR) offers a powerful approach to study potential causal associations between exposures and health outcomes by using genetic variants associated with an exposure as instrumental variables. In this systematic review, we aimed to summarize previous MR studies and to evaluate the evidence for causality for a broad range of exposures in relation to coronary artery disease and stroke. METHODS AND RESULTS MR studies investigating the association of any genetically predicted exposure with coronary artery disease or stroke were identified. Studies were classified into 4 categories built on the significance of the main MR analysis results and its concordance with sensitivity analyses, namely, robust, probable, suggestive, and insufficient. Studies reporting associations that did not perform any sensitivity analysis were classified as nonevaluable. We identified 2725 associations eligible for evaluation, examining 535 distinct exposures. Of them, 141 were classified as robust, 353 as probable, 110 as suggestive, and 926 had insufficient evidence. The most robust associations were observed for anthropometric traits, lipids, and lipoproteins and type 2 diabetes with coronary artery; disease and clinical measurements with coronary artery disease and stroke; and thrombotic factors with stroke. CONCLUSIONS Despite the large number of studies that have been conducted, only a limited number of associations were supported by robust evidence. Approximately half of the studies reporting associations presented an MR sensitivity analysis along with the main analysis that further supported the causality of associations. Future research should focus on more thorough assessments of sensitivity MR analyses and further assessments of mediation effects or nonlinearity of associations.
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Affiliation(s)
- Andrea N. Georgiou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Loukas Zagkos
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Georgios Markozannes
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Christos V. Chalitsios
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | | | - Wei Xu
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | - Lijuan Wang
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | | | - Xuan Zhou
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | - Eleni M. Loizidou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Biobank Cyprus Center of Excellence in Biobanking and Biomedical ResearchUniversity of CyprusNicosiaCyprus
| | - Nikolaos Kretsavos
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Evropi Theodoratou
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Institute of Genetics and CancerThe University of EdinburghEdinburghUK
| | - Dipender Gill
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Stephen Burgess
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
- Cardiovascular Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - Evangelos Evangelou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of Biomedical Research, Institute of Molecular Biology and BiotechnologyFoundation for Research and Technology‐HellasIoanninaGreece
| | - Konstantinos K. Tsilidis
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Ioanna Tzoulaki
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Centre for Systems Biology, Biomedical Research FoundationAcademy of AthensAthensGreece
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12
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Stringa N, van Schoor NM, Hoogendijk EO, Milaneschi Y, Huisman M. The phenotypic and genotypic association of grip strength with frailty, physical performance and functional limitations over time in older adults. Age Ageing 2023; 52:afad189. [PMID: 37847794 PMCID: PMC10581539 DOI: 10.1093/ageing/afad189] [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: 03/05/2023] [Indexed: 10/19/2023] Open
Abstract
OBJECTIVES To replicate the phenotypic associations of grip strength with frailty, physical performance and functional limitations in older adults for longer follow-up periods and to examine whether these associations are due to shared genetic factors. METHODS In total 2,262 participants 55 years and older with follow-up data up to 23 years (Nobservations = 8,262) from the Longitudinal Aging Study Amsterdam were included. Weighted polygenic risk scores for grip strength (PRS-GS) were built using the genome-wide meta-analysis results from UK Biobank as reference. Grip strength was measured two times on each hand using a dynamometer. Frailty index (FI) and frailty phenotype were operationalised following standard procedures. Performance tests included a timed walk test, a repeated chair stands test and put on-take off cardigan test. Functional limitations were assessed using a questionnaire with six items. RESULTS Higher grip strength was phenotypically associated with lower FI (b = -0.013, 95% CI (-0.016, -0.009)), better physical performance (b = 0.040, 95% CI (0.026, 0.054)) and less functional limitations (OR = 0.965, 95% CI (0.954, 0.977)) over time for follow-up periods up to 23 years. However, PRS-GS was not associated with any of the traits. CONCLUSION The phenotypic associations between grip strength, frailty, physical performance and functional limitations were replicated for follow-up periods up to 23 years. However, the associations between the traits could not be explained by shared genetics potentially indicating a more relevant involvement of non-genetic factors.
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Affiliation(s)
- Najada Stringa
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Emiel O Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- GGZ inGeest, Amsterdam, the Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Sociology, Vrije Universiteit, Amsterdam, the Netherlands
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13
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Zhu J, Zhou D, Nie Y, Wang J, Yang Y, Chen D, Yu M, Li Y. Assessment of the bidirectional causal association between frailty and depression: A Mendelian randomization study. J Cachexia Sarcopenia Muscle 2023; 14:2327-2334. [PMID: 37670569 PMCID: PMC10570069 DOI: 10.1002/jcsm.13319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/05/2023] [Accepted: 07/24/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Observational studies have demonstrated a strong bidirectional association between frailty and depression, but it remains unclear whether this association reflects causality. This study aimed to examine the bidirectional causal relationship between frailty and depression. METHODS Using genome-wide association study summary data, two-sample Mendelian randomization was performed to test for the potential bidirectional causality between frailty, as defined by both the frailty index and the frailty phenotype, and depression. Several frailty-related traits were additionally investigated, including weaker hand grip strength, slower walking pace and physical inactivity. Findings were replicated using an independent depression data source and verified using multiple sensitivity analyses. RESULTS Genetically predicted higher frailty index (odds ratio [OR], 1.86; P < 0.001), higher frailty phenotype score (OR, 2.79; P < 0.001), lower grip strength (OR, 1.23; P = 0.003), slower walking pace (OR, 1.55; P = 0.027) and physical inactivity (OR, 1.44; P = 0.003) all were associated with a higher risk of depression. As for the reverse direction, genetic liability to depression showed consistent associations with a higher frailty index (beta, 0.167; P < 0.001) and a higher frailty phenotype score (beta, 0.067; P = 0.001), but not with other frailty-related traits that were investigated. The results were stable across sensitivity analyses and across depression datasets. CONCLUSIONS Our findings add novel evidence supporting the bidirectional causal association between frailty and depression. Improving balance and muscle strength and increasing physical activity may be beneficial in both depression and frailty.
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Affiliation(s)
- Jiahao Zhu
- Department of Epidemiology and Health Statistics, School of Public HealthHangzhou Medical CollegeHangzhouChina
| | - Dan Zhou
- School of Public Health and the Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Vanderbit Genetics InstituteVanderbilt University Medical CenterNashvilleTNUSA
| | - Yaoyao Nie
- Department of Epidemiology and Health Statistics, School of Public HealthHangzhou Medical CollegeHangzhouChina
| | - Jing Wang
- Department of Epidemiology and Health Statistics, School of Public HealthHangzhou Medical CollegeHangzhouChina
| | - Ye Yang
- Department of Epidemiology and Health Statistics, School of Public HealthHangzhou Medical CollegeHangzhouChina
| | - Dingwan Chen
- School of Public HealthHangzhou Medical CollegeHangzhouChina
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and PreventionHangzhouChina
| | - Yingjun Li
- Department of Epidemiology and Health Statistics, School of Public HealthHangzhou Medical CollegeHangzhouChina
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14
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Freitas RVDM, de Freitas DLD, de Oliveira IRD, Dos Santos Gomes C, Guerra GCB, Dantas PMS, da Silva TG, Duque G, de Lima KMG, Guerra RO. Fourier-Transform Infrared Spectroscopy as a Screening Tool for Osteosarcopenia in Community-Dwelling Older Women. J Gerontol A Biol Sci Med Sci 2023; 78:1543-1549. [PMID: 36905160 DOI: 10.1093/gerona/glad081] [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: 07/09/2022] [Indexed: 03/12/2023] Open
Abstract
Osteosarcopenia is a complex geriatric syndrome characterized by the presence of both sarcopenia and osteopenia/osteoporosis. This condition increases rates of disability, falls, fractures, mortality, and mobility impairments in older adults. The purpose of this study was to analyze the Fourier-transform infrared (FTIR) spectroscopy diagnostic power for osteosarcopenia in community-dwelling older women (n = 64; 32 osteosarcopenic and 32 non-osteosarcopenia). FTIR is a fast and reproducible technique highly sensitive to biological tissues, and a mathematical model was created using multivariate classification techniques that denoted the graphic spectra of the molecular groups. Genetic algorithm and support vector machine regression (GA-SVM) was the most feasible model, achieving 80.0% of accuracy. GA-SVM identified 15 wave numbers responsible for class differentiation, in which several amino acids (responsible for the proper activation of the mammalian target of rapamycin) and hydroxyapatite (an inorganic bone component) were observed. Imaging tests and low availability of instruments that allow the observation of osteosarcopenia involve high health costs for patients and restrictive indications. Therefore, FTIR can be used to diagnose osteosarcopenia due to its efficiency and low cost and to enable early detection in geriatric services, contributing to advances in science and technology that are potential "conventional" methods in the future.
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Affiliation(s)
| | | | | | | | | | - Paulo Moreira Silva Dantas
- Postgraduation Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Brazil
- Postgraduation Program in Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Tales Gomes da Silva
- Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Gustavo Duque
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Bone, Muscle & Geroscience Group, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Kassio Michell Gomes de Lima
- Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Ricardo Oliveira Guerra
- Postgraduation Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Brazil
- Postgraduation Program in Physiotherapy, Federal University of Rio Grande do Norte, Natal, Brazil
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15
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Wang Y, Li H, Hou L, Wang S, Kang X, Yu J, Tian F, Ni W, Deng X, Liu T, You Y, Chen W. Genome-wide association study on coordination and agility in 461 Chinese Han males. Heliyon 2023; 9:e19268. [PMID: 37654465 PMCID: PMC10465941 DOI: 10.1016/j.heliyon.2023.e19268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 07/20/2023] [Accepted: 08/17/2023] [Indexed: 09/02/2023] Open
Abstract
There is growing evidence that genetic factors can influence human athletic performance. In many sports performances, excellent coordination and agility are the keys to mastery. However, few studies have been devoted to identifying genetic influences on athletic performance. Methods: We generated a derived measure of coordination and agility from the data of hexagonal jumps and T-runs and conducted genome-wide association and meta-analysis studies focused on coordination and agility. Results: The phenotypic correlation and genetic covariance analysis indicated that hexagonal jumps and T-runs were possibly influenced by the same set of genetic factors (R = 0.27, genetic covariance = 0.59). Meta-analysis identified rs117047321 genome-wide significant association (N = 143, P < 10E-5) with coordination and agility, and this association was replicated in the replication group (N = 318, P < 0.05). The CG genotype samples of this single nucleotide polymorphism (SNP) required a longer average movement time than the CC genotype samples, and the CG genotype only exists in Asia, which may belong to the East Asia-specific variation. This SNP is located on MYO5B, which is highly expressed in tissues such as the brain, heart, and muscle, suggesting that this locus might be a genetic factor related to human energy metabolism. Conclusion: Our study indicated that genetic factors can affect the athletic performance of coordination and agility. These findings may provide valuable insights for using genetic factors to evaluate sports characteristics.
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Affiliation(s)
- Yan Wang
- Clinical Biobank Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
| | - He Li
- Beijing Institute of Genomics (China National Center for Bioinformation), Chinese Academy of Sciences, Beijing, China
| | - Lei Hou
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Shan Wang
- Clinical Biobank Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
| | - Xia Kang
- Clinical Biobank Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
| | - Jihong Yu
- Clinical Biobank Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
| | - Fenfen Tian
- Clinical Biobank Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
| | - Wenfeng Ni
- Clinical Biobank Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
| | - Xiaoyu Deng
- Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Engineering Medicine, Beihang University, Beijing, China
| | - Tianzi Liu
- Beijing Institute of Genomics (China National Center for Bioinformation), Chinese Academy of Sciences, Beijing, China
| | - Yanqin You
- Department of Obstetrics and Gynecology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Wei Chen
- Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Engineering Medicine, Beihang University, Beijing, China
- State Key Laboratory of Ophthalmology, Optometry and Vision Science, Wenzhou Medical University, Wenzhou, China
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16
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Clark BC. Neural Mechanisms of Age-Related Loss of Muscle Performance and Physical Function. J Gerontol A Biol Sci Med Sci 2023; 78:8-13. [PMID: 36738253 PMCID: PMC10272985 DOI: 10.1093/gerona/glad029] [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: 11/10/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND This article discusses the putative neural mechanisms of age-related muscle weakness within the broader context of the development of function-promoting therapies for sarcopenia and age-related mobility limitations. We discuss here the evolving definition of sarcopenia and its primary defining characteristic, weakness. METHODS This review explores the premise that impairments in the nervous system's ability to generate maximal force or power contribute to sarcopenia. RESULTS Impairments in neural activation are responsible for a substantial amount of age-related weakness. The neurophysiological mechanisms of weakness are multifactorial. The roles of supraspinal descending command mechanisms, spinal motor neuron firing responsivity, and neuromuscular junction transmission failure in sarcopenia are discussed. Research/clinical gaps and recommendations for future work are highlighted. CONCLUSION Further research is needed to map putative neural mechanisms, determine the clinical relevance of age-related changes in neural activation to sarcopenia, and evaluate the effectiveness of various neurotherapeutic approaches to enhancing physical function.
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Affiliation(s)
- Brian C Clark
- Ohio Musculoskeletal and Neurological Institute (OMNI) and the Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, USA
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17
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Semenova EA, Hall ECR, Ahmetov II. Genes and Athletic Performance: The 2023 Update. Genes (Basel) 2023; 14:1235. [PMID: 37372415 DOI: 10.3390/genes14061235] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/05/2023] [Accepted: 06/07/2023] [Indexed: 06/29/2023] Open
Abstract
Phenotypes of athletic performance and exercise capacity are complex traits influenced by both genetic and environmental factors. This update on the panel of genetic markers (DNA polymorphisms) associated with athlete status summarises recent advances in sports genomics research, including findings from candidate gene and genome-wide association (GWAS) studies, meta-analyses, and findings involving larger-scale initiatives such as the UK Biobank. As of the end of May 2023, a total of 251 DNA polymorphisms have been associated with athlete status, of which 128 genetic markers were positively associated with athlete status in at least two studies (41 endurance-related, 45 power-related, and 42 strength-related). The most promising genetic markers include the AMPD1 rs17602729 C, CDKN1A rs236448 A, HFE rs1799945 G, MYBPC3 rs1052373 G, NFIA-AS2 rs1572312 C, PPARA rs4253778 G, and PPARGC1A rs8192678 G alleles for endurance; ACTN3 rs1815739 C, AMPD1 rs17602729 C, CDKN1A rs236448 C, CPNE5 rs3213537 G, GALNTL6 rs558129 T, IGF2 rs680 G, IGSF3 rs699785 A, NOS3 rs2070744 T, and TRHR rs7832552 T alleles for power; and ACTN3 rs1815739 C, AR ≥21 CAG repeats, LRPPRC rs10186876 A, MMS22L rs9320823 T, PHACTR1 rs6905419 C, and PPARG rs1801282 G alleles for strength. It should be appreciated, however, that elite performance still cannot be predicted well using only genetic testing.
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Affiliation(s)
- Ekaterina A Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
- Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, 420138 Kazan, Russia
| | - Elliott C R Hall
- Faculty of Health Sciences and Sport, University of Stirling, Stirling FK9 4UA, UK
| | - Ildus I Ahmetov
- Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, 420012 Kazan, Russia
- Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, 191040 St. Petersburg, Russia
- Department of Physical Education, Plekhanov Russian University of Economics, 115093 Moscow, Russia
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK
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18
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Bollen SE, Bass JJ, Wilkinson DJ, Hewison M, Atherton PJ. The impact of genetic variation within the vitamin D pathway upon skeletal muscle function: A systematic review. J Steroid Biochem Mol Biol 2023; 229:106266. [PMID: 36822332 DOI: 10.1016/j.jsbmb.2023.106266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 01/19/2023] [Accepted: 02/02/2023] [Indexed: 02/23/2023]
Abstract
Studies in vitro have demonstrated a key molecular role for 1,25-dihydroxyvitamin D (1,25D) in skeletal muscle function, with vitamin D-deficiency (low serum 25-hydroxyvitamin D, 25D) being associated with muscle pain and weakness. Despite this, an understanding of the overall role of vitamin D in muscle health (particularly the impact of vitamin D-related genetic variants) has yet to be fully resolved, relative to more well-studied targets such as the skeleton. Thus, we aimed to review existing studies that have investigated relationships between skeletal muscle function and single nucleotide polymorphisms (SNPs) within vitamin D-related genes. A systematic review of papers published between January 2000 and June 2022 on PubMed, EMBASE and Web of Science pertaining to association between functionally relevant vitamin D receptor genetic variants and variants within genes of the vitamin D pathway and skeletal muscle function/outcomes was performed. 21 articles were included in the review for final analysis, of which 20 only studied genetic variation of the VDR gene. Of the included articles, 81 % solely included participants aged ≥ 50 years and of the 9 studies that did not only include White individuals, only 2 included Black participants. Within the vitamin D system, the VDR gene is the primary gene of which associations between polymorphisms and muscle function have been investigated. VDR polymorphisms have been significantly associated with muscle phenotypes in two or more studies. Of note A1012G was significantly associated with higher handgrip strength, but the results for other SNPs were notably variable between studies. While the lack of definitive evidence and study heterogeneity makes it difficult to draw conclusions, the findings of this review highlight a need for improvements with regards to the use of more diverse study populations, i.e., inclusion of Black individuals and other people of colour, and expanding research scope beyond the VDR gene.
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Affiliation(s)
- Shelby E Bollen
- MRC/ARUK Centre for Musculoskeletal Ageing Research and National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre (BRC), School of Medicine, University of Nottingham, DE22 3DT UK.
| | - Joseph J Bass
- MRC/ARUK Centre for Musculoskeletal Ageing Research and National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre (BRC), School of Medicine, University of Nottingham, DE22 3DT UK
| | - Daniel J Wilkinson
- MRC/ARUK Centre for Musculoskeletal Ageing Research and National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre (BRC), School of Medicine, University of Nottingham, DE22 3DT UK
| | - Martin Hewison
- Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Philip J Atherton
- MRC/ARUK Centre for Musculoskeletal Ageing Research and National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre (BRC), School of Medicine, University of Nottingham, DE22 3DT UK
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19
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Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data. Nutrients 2023; 15:nu15030758. [PMID: 36771461 PMCID: PMC9920138 DOI: 10.3390/nu15030758] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/28/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
The substantial decline in skeletal muscle mass, strength, and gait speed is a sign of severe sarcopenia, which may partly depend on genetic risk factors. So far, hundreds of genome-wide significant single nucleotide polymorphisms (SNPs) associated with handgrip strength, lean mass and walking pace have been identified in the UK Biobank cohort; however, their pleiotropic effects on all three phenotypes have not been investigated. By combining summary statistics of genome-wide association studies (GWAS) of handgrip strength, lean mass and walking pace, we have identified 78 independent SNPs (from 73 loci) associated with all three traits with consistent effect directions. Of the 78 SNPs, 55 polymorphisms were also associated with body fat percentage and 25 polymorphisms with type 2 diabetes (T2D), indicating that sarcopenia, obesity and T2D share many common risk alleles. Follow-up bioinformatic analysis revealed that sarcopenia risk alleles were associated with tiredness, falls in the last year, neuroticism, alcohol intake frequency, smoking, time spent watching television, higher salt, white bread, and processed meat intake; whereas protective alleles were positively associated with bone mineral density, serum testosterone, IGF1, and 25-hydroxyvitamin D levels, height, intelligence, cognitive performance, educational attainment, income, physical activity, ground coffee drinking and healthier diet (muesli, cereal, wholemeal or wholegrain bread, potassium, magnesium, cheese, oily fish, protein, water, fruit, and vegetable intake). Furthermore, the literature data suggest that single-bout resistance exercise may induce significant changes in the expression of 26 of the 73 implicated genes in m. vastus lateralis, which may partly explain beneficial effects of strength training in the prevention and treatment of sarcopenia. In conclusion, we have identified and characterized 78 SNPs associated with sarcopenia and 55 SNPs with sarcopenic obesity in European-ancestry individuals from the UK Biobank.
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20
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Valge M, Meitern R, Hõrak P. Mothers of small-bodied children and fathers of vigorous sons live longer. Front Public Health 2023; 11:1057146. [PMID: 36761140 PMCID: PMC9905732 DOI: 10.3389/fpubh.2023.1057146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Life-history traits (traits directly related to survival and reproduction) co-evolve and materialize through physiology and behavior. Accordingly, lifespan can be hypothesized as a potentially informative marker of life-history speed that subsumes the impact of diverse morphometric and behavioral traits. We examined associations between parental longevity and various anthropometric traits in a sample of 4,000-11,000 Estonian children in the middle of the 20th century. The offspring phenotype was used as a proxy measure of parental genotype, so that covariation between offspring traits and parental longevity (defined as belonging to the 90th percentile of lifespan) could be used to characterize the aggregation between longevity and anthropometric traits. We predicted that larger linear dimensions of offspring associate with increased parental longevity and that testosterone-dependent traits associate with reduced paternal longevity. Twelve of 16 offspring traits were associated with mothers' longevity, while three traits (rate of sexual maturation of daughters and grip strength and lung capacity of sons) robustly predicted fathers' longevity. Contrary to predictions, mothers of children with small bodily dimensions lived longer, and paternal longevity was not linearly associated with their children's body size (or testosterone-related traits). Our study thus failed to find evidence that high somatic investment into brain and body growth clusters with a long lifespan across generations, and/or that such associations can be detected on the basis of inter-generational phenotypic correlations.
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21
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Pratt J, Whitton L, Ryan A, Juliusdottir T, Dolan J, Conroy J, Narici M, De Vito G, Boreham C. Genes encoding agrin (AGRN) and neurotrypsin (PRSS12) are associated with muscle mass, strength and plasma C-terminal agrin fragment concentration. GeroScience 2023:10.1007/s11357-022-00721-1. [PMID: 36609795 PMCID: PMC10400504 DOI: 10.1007/s11357-022-00721-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/26/2022] [Indexed: 01/09/2023] Open
Abstract
Although physiological data suggest that neuromuscular junction (NMJ) dysfunction is a principal mechanism underpinning sarcopenia, genetic studies have implicated few genes involved in NMJ function. Accordingly, we explored whether genes encoding agrin (AGRN) and neurotrypsin (PRSS12) were associated with sarcopenia phenotypes: muscle mass, strength and plasma C-terminal agrin fragment (CAF). PhenoScanner was used to determine if AGRN and/or PRSS12 variants had previously been implicated with sarcopenia phenotypes. For replication, we combined genotype from whole genome sequencing with phenotypic data from 6715 GenoFit participants aged 18-83 years. Dual energy X-ray absorptiometry assessed whole body lean mass (WBLM) and appendicular lean mass (ALM), hand dynamometry determined grip strength and ELISA measured plasma CAF in a subgroup (n = 260). Follow-up analyses included eQTL analyses, carrier analyses, single-variant and gene-burden tests. rs2710873 (AGRN) and rs71608359 (PRSS12) associate with muscle mass and strength phenotypes, respectively, in the UKBB (p = 8.9 × 10-6 and p = 8.4 × 10-6) and GenoFit cohort (p = 0.019 and p = 0.014). rs2710873 and rs71608359 are eQTLs for AGRN and PRSS12, respectively, in ≥ three tissues. Compared to non-carriers, carriers of rs2710873 had 4.0% higher WBLM and ALM (both p < 0.001), and 9.5% lower CAF concentrations (p < 0.001), while carriers of rs71608359 had 2.3% lower grip strength (p = 0.034). AGRN and PRSS12 are associated with muscle strength and mass in single-variant analyses, while PRSS12 has further associations with muscle strength in gene-burden tests. Our findings provide novel evidence of the relevance of AGRN and PRSS12 to sarcopenia phenotypes and support existing physiological data illustrating the importance of the NMJ in maintaining muscle health during ageing.
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Affiliation(s)
- Jedd Pratt
- Institute for Sport and Health, University College Dublin, Dublin, Ireland. .,Genuity Science, Dublin, Ireland. .,Department of Biomedical Sciences, CIR-Myo Myology Centre, Neuromuscular Physiology Laboratory, University of Padova, Padua, Italy.
| | | | | | | | | | | | - Marco Narici
- Department of Biomedical Sciences, CIR-Myo Myology Centre, Neuromuscular Physiology Laboratory, University of Padova, Padua, Italy
| | - Giuseppe De Vito
- Department of Biomedical Sciences, CIR-Myo Myology Centre, Neuromuscular Physiology Laboratory, University of Padova, Padua, Italy
| | - Colin Boreham
- Institute for Sport and Health, University College Dublin, Dublin, Ireland
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22
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Herranen P, Palviainen T, Rantanen T, Tiainen K, Viljanen A, Kaprio J, Sillanpää E. A Polygenic Risk Score for Hand Grip Strength Predicts Muscle Strength and Proximal and Distal Functional Outcomes among Older Women. Med Sci Sports Exerc 2022; 54:1889-1896. [PMID: 35776845 DOI: 10.1249/mss.0000000000002981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE Hand grip strength (HGS) is a widely used indicator of overall muscle strength and general health. We computed a polygenic risk score (PRS) for HGS and examined whether it predicted muscle strength, functional capacity, and disability outcomes. METHODS Genomewide association study summary statistics for HGS from the Pan-UK Biobank was used. PRS were calculated in the Finnish Twin Study on Aging ( N = 429 women, 63-76 yr). Strength tests included HGS, isometric knee extension, and ankle plantarflexion strength. Functional capacity was examined with the Timed Up and Go, 6-min and 10-m walk tests, and dual-task tests. Disabilities in the basic activities of daily living (ADL) and instrumental ADL (IADL) were investigated with questionnaires. The proportion of variation in outcomes accounted for by PRS HGS was examined using linear mixed models and extended logistic regression. RESULTS The measured HGS increased linearly over increasing PRS ( β = 4.8, SE = 0.93, P < 0.001). PRS HGS independently accounted for 6.1% of the variation in the measured HGS ( β = 14.2, SE = 3.1, P < 0.001), 5.4% of the variation in knee extension strength ( β = 19.6, SE = 4.7, P < 0.001), 1.2% of the variation in ankle plantarflexion strength ( β = 9.4, SE = 4.2, P = 0.027), and 0.1%-1.5% of the variation in functional capacity tests ( P = 0.016-0.133). Further, participants with higher PRS HGS were less likely to have ADL/IADL disabilities (odds ratio = 0.74-0.76). CONCLUSIONS Older women with genetic risk for low muscle strength were significantly weaker than those with genetic susceptibility for high muscle strength. PRS HGS was also systematically associated with overall muscle strength and proximal and distal functional outcomes that require muscle strength.
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Affiliation(s)
- Päivi Herranen
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | | | - Taina Rantanen
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - Kristina Tiainen
- Gerontology Research Center, Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, FINLAND
| | - Anne Viljanen
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, Helsinki, FINLAND
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23
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Nethander M, Coward E, Reimann E, Grahnemo L, Gabrielsen ME, Wibom C, Mägi R, Funck-Brentano T, Hoff M, Langhammer A, Pettersson-Kymmer U, Hveem K, Ohlsson C. Assessment of the genetic and clinical determinants of hip fracture risk: Genome-wide association and Mendelian randomization study. Cell Rep Med 2022; 3:100776. [PMID: 36260985 PMCID: PMC9589021 DOI: 10.1016/j.xcrm.2022.100776] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/07/2022] [Accepted: 09/19/2022] [Indexed: 11/05/2022]
Abstract
Hip fracture is the clinically most important fracture, but the genetic architecture of hip fracture is unclear. Here, we perform a large-scale hip fracture genome-wide association study meta-analysis and Mendelian randomization study using five cohorts from European biobanks. The results show that five genetic signals associate with hip fractures. Among these, one signal associates with falls, but not with bone mineral density (BMD), while four signals are in loci known to be involved in bone biology. Mendelian randomization analyses demonstrate a strong causal effect of decreased femoral neck BMD and moderate causal effects of Alzheimer's disease and having ever smoked regularly on risk of hip fractures. The substantial causal effect of decreased femoral neck BMD on hip fractures in both young and old subjects and in both men and women supports the use of change in femoral neck BMD as a surrogate outcome for hip fractures in clinical trials.
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Affiliation(s)
- Maria Nethander
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Vita Stråket 11, 41345 Gothenburg, Sweden; Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eivind Coward
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Ene Reimann
- Estonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia
| | - Louise Grahnemo
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Vita Stråket 11, 41345 Gothenburg, Sweden
| | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Carl Wibom
- Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden
| | | | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia
| | - Thomas Funck-Brentano
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Vita Stråket 11, 41345 Gothenburg, Sweden; Department of Rheumatology, Lariboisière Hospital, INSERM U1132, Université de Paris, Paris, France
| | - Mari Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway; Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - Arnulf Langhammer
- HUNT Research Centre, Forskningsveien 2, 7600 Levanger, Norway"; Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | | | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway; HUNT Research Centre, Forskningsveien 2, 7600 Levanger, Norway"; Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Vita Stråket 11, 41345 Gothenburg, Sweden; Region Västra Götaland, Department of Drug Treatment, Sahlgrenska University Hospital, Gothenburg, Sweden.
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24
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Guilherme JPLF, Semenova EA, Larin AK, Yusupov RA, Generozov EV, Ahmetov II. Genomic Predictors of Brisk Walking Are Associated with Elite Sprinter Status. Genes (Basel) 2022; 13:genes13101710. [PMID: 36292594 PMCID: PMC9602420 DOI: 10.3390/genes13101710] [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: 09/07/2022] [Revised: 09/20/2022] [Accepted: 09/20/2022] [Indexed: 11/16/2022] Open
Abstract
Brisk walkers are physically more active, taller, have reduced body fat and greater physical fitness and muscle strength. The aim of our study was to determine whether genetic variants associated with increased walking pace were overrepresented in elite sprinters compared to controls. A total of 70 single-nucleotide polymorphisms (SNPs) previously identified in a genome-wide association study (GWAS) of self-reported walking pace in 450,967 European individuals were explored in relation to sprinter status. Genotyping of 137 Russian elite sprinters and 126 controls was performed using microarray technology. Favorable (i.e., high-speed-walking) alleles of 15 SNPs (FHL2 rs55680124 C, SLC39A8 rs13107325 C, E2F3 rs4134943 T, ZNF568 rs1667369 A, GDF5 rs143384 G, PPARG rs2920503 T, AUTS2 rs10452738 A, IGSF3 rs699785 A, CCT3 rs11548200 T, CRTAC1 rs2439823 A, ADAM15 rs11264302 G, C6orf106 rs205262 A, AKAP6 rs12883788 C, CRTC1 rs11881338 A, NRXN3 rs8011870 G) were identified as having positive associations with sprinter status (p < 0.05), of which IGSF3 rs699785 survived correction for multiple testing (p = 0.00004) and was linked (p = 0.042) with increased proportions of fast-twitch muscle fibers of m. vastus lateralis in physically active men (n = 67). Polygenic analysis revealed that individuals with ≥18 favorable alleles of the 15 SNPs have an increased odds ratio of being an elite sprinter when compared to those with ≤17 alleles (OR: 7.89; p < 0.0001). Using UK Biobank data, we also established the association of 14 favorable alleles with low BMI and fat percentage, 8 alleles with increased handgrip strength, and 7 alleles with increased height and fat-free mass. In conclusion, we have identified 15 new genetic markers associated with sprinter status.
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Affiliation(s)
- João Paulo L. F. Guilherme
- Laboratory of Applied Nutrition and Metabolism, School of Physical Education and Sport, University of São Paulo, São Paulo 05508-030, Brazil
- Laboratory of Biochemistry and Molecular Biology of Exercise, School of Physical Education and Sport, University of São Paulo, São Paulo 05508-030, Brazil
- Correspondence: (J.P.L.F.G.); (I.I.A.)
| | - Ekaterina A. Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
- Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, 420138 Kazan, Russia
| | - Andrey K. Larin
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
| | - Rinat A. Yusupov
- Department of Physical Culture and Sport, Kazan National Research Technical University Named after A.N. Tupolev-KAI, 420111 Kazan, Russia
| | - Edward V. Generozov
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
| | - Ildus I. Ahmetov
- Department of Physical Education, Plekhanov Russian University of Economics, 115093 Moscow, Russia
- Laboratory of Molecular Genetics, Central Research Laboratory, Kazan State Medical University, 420012 Kazan, Russia
- Sports Genetics Laboratory, St. Petersburg Research Institute of Physical Culture, 191040 St. Petersburg, Russia
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK
- Correspondence: (J.P.L.F.G.); (I.I.A.)
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25
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Schnurr TM, Katz SF, Justesen JM, O'Sullivan JW, Saliba-Gustafsson P, Assimes TL, Carcamo-Orive I, Ahmed A, Ashley EA, Hansen T, Knowles JW. Interactions of physical activity, muscular fitness, adiposity, and genetic risk for NAFLD. Hepatol Commun 2022; 6:1516-1526. [PMID: 35293152 PMCID: PMC9234625 DOI: 10.1002/hep4.1932] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 02/01/2022] [Accepted: 02/19/2022] [Indexed: 11/22/2022] Open
Abstract
Genetic predisposition and unhealthy lifestyle are risk factors for nonalcoholic fatty liver disease (NAFLD). We investigated whether the genetic risk of NAFLD is modified by physical activity, muscular fitness, and/or adiposity. In up to 242,524 UK Biobank participants without excessive alcohol intake or known liver disease, we examined cross-sectional interactions and joint associations of physical activity, muscular fitness, body mass index (BMI), and a genetic risk score (GRS) with alanine aminotransferase (ALT) levels and the proxy definition for suspected NAFLD of ALT levels > 30 U/L in women and >40 U/L in men. Genetic predisposition to NAFLD was quantified using a GRS consisting of 68 loci known to be associated with chronically elevated ALT. Physical activity was assessed using accelerometry, and muscular fitness was estimated by measuring handgrip strength. We found that increased physical activity and grip strength modestly attenuate genetic predisposition to elevation in ALT levels, whereas higher BMI markedly amplifies it (all p values < 0.001). Among those with normal weight and high level of physical activity, the odds of suspected NAFLD were 1.6-fold higher in those with high versus low genetic risk (reference group). In those with high genetic risk, the odds of suspected NAFLD were 12-fold higher in obese participants with low physical activity versus those with normal weight and high physical activity (odds ratio for NAFLD = 19.2 and 1.6, respectively, vs. reference group). Conclusion: In individuals with high genetic predisposition for NAFLD, maintaining a normal body weight and increased physical activity may reduce the risk of NAFLD.
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Affiliation(s)
- Theresia M Schnurr
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA.,Novo Nordisk Foundation Center for Basic Metabolic ResearchUniversity of CopenhagenKobenhavnDenmark
| | - Sophia Figueroa Katz
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA.,Cleveland Clinic Lerner College of Medicine of Case Western Reserve UniversityClevelandOhioUSA
| | - Johanne M Justesen
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA.,Novo Nordisk Foundation Center for Basic Metabolic ResearchUniversity of CopenhagenKobenhavnDenmark
| | - Jack W O'Sullivan
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA
| | - Peter Saliba-Gustafsson
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA.,Cardiovascular Medicine UnitDepartment of MedicineCenter for Molecular Medicine at BioClinicumKarolinska University HospitalKarolinska InstitutetStockholmSweden
| | - Themistocles L Assimes
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA.,VA Palo Alto Health Care SystemPalo AltoCaliforniaUSA
| | - Ivan Carcamo-Orive
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA.,Stanford Diabetes Research CenterStanfordCaliforniaUSA
| | - Aijaz Ahmed
- Division of Gastroenterology and HepatologyStanford University School of MedicineStanfordCaliforniaUSA
| | - Euan A Ashley
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA.,Department of GeneticsStanford UniversityStanfordCaliforniaUSA.,Department of Biomedical Data ScienceStanford UniversityStanfordCaliforniaUSA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic ResearchUniversity of CopenhagenKobenhavnDenmark
| | - Joshua W Knowles
- Department of MedicineDivision of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCaliforniaUSA.,Stanford Diabetes Research CenterStanfordCaliforniaUSA.,Stanford Prevention Research CenterStanfordCaliforniaUSA
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26
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Dlamini SN, Norris SA, Mendham AE, Mtintsilana A, Ward KA, Olsson T, Goedecke JH, Micklesfield LK. Targeted proteomics of appendicular skeletal muscle mass and handgrip strength in black South Africans: a cross-sectional study. Sci Rep 2022; 12:9512. [PMID: 35680977 PMCID: PMC9178538 DOI: 10.1038/s41598-022-13548-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 05/25/2022] [Indexed: 11/20/2022] Open
Abstract
Although appendicular skeletal muscle mass (ASM) and handgrip strength (HGS) are key components of sarcopenia, their underlying biological mechanisms remain poorly understood. We aimed to investigate associations of circulating biomarkers with ASM and HGS in middle-aged black South Africans. This study consisted of 934 black South Africans (469 men and 465 women, aged 41-72 years) from the Middle-aged Soweto cohort. Linear regression models were used to examine relationships between 182 biomarkers (measured with proximity extension assay) and dual-energy X-ray absorptiometry-measured ASM and dynamometer-measured HGS. Age, height, sex, smoking, alcohol, food insecurity, physical activity, visceral adipose tissue, HIV and menopausal status were included as confounders. Regression models showing sex-interactions were stratified by sex. The Benjamini-Hochberg false discovery rate (FDR) was used to control for multiple testing, and FDR-adjusted P values were reported. In the total sample, 10 biomarkers were associated with higher ASM and 29 with lower ASM (P < 0.05). Out of these 39 biomarkers, 8 were also associated with lower HGS (P < 0.05). MMP-7 was associated with lower HGS only (P = 0.011) in the total sample. Sex-interactions (P < 0.05) were identified for 52 biomarkers for ASM, and 6 for HGS. For men, LEP, MEPE and SCF were associated with higher ASM (P < 0.001, = 0.004, = 0.006, respectively), and MEPE and SCF were also associated with higher HGS (P = 0.001, 0.012, respectively). Also in men, 37 biomarkers were associated with lower ASM (P < 0.05), with none of these being associated with lower HGS. Furthermore, DLK-1 and MYOGLOBIN were associated with higher HGS only (P = 0.004, 0.006, respectively), while GAL-9 was associated with lower HGS only (P = 0.005), among men. For women, LEP, CD163, IL6, TNF-R1 and TNF-R2 were associated with higher ASM (P < 0.001, = 0.014, = 0.027, = 0.014, = 0.048, respectively), while IGFBP-2, CTRC and RAGE were associated with lower ASM (P = 0.043, 0.001, 0.014, respectively). No biomarker was associated with HGS in women. In conclusion, most biomarkers were associated with ASM and not HGS, and the associations of biomarkers with ASM and HGS displayed sex-specificity in middle-aged black South Africans. Proteomic studies should examine ASM and HGS individually. Future research should also consider sexual dimorphism in the pathophysiology of sarcopenia for development of sex-specific treatment and diagnostic methods.
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Affiliation(s)
- Siphiwe N Dlamini
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Shane A Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Global Health Research Institute, School of Health and Human Development, University of Southampton, Southampton, UK
| | - Amy E Mendham
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Health Through Physical Activity, Lifestyle and Sport Research Centre, FIMS International Collaborating Centre of Sports Medicine, Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Asanda Mtintsilana
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Kate A Ward
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Tommy Olsson
- Department of Public Health and Clinical Medicine, Medicine, Umeå University, Umeå, Sweden
| | - Julia H Goedecke
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Lisa K Micklesfield
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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27
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Multi-omics research in sarcopenia: Current progress and future prospects. Ageing Res Rev 2022; 76:101576. [PMID: 35104630 DOI: 10.1016/j.arr.2022.101576] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 12/13/2021] [Accepted: 01/26/2022] [Indexed: 12/17/2022]
Abstract
Sarcopenia is a systemic disease with progressive and generalized skeletal muscle dysfunction defined by age-related low muscle mass, high content of muscle slow fibers, and low muscle function. Muscle phenotypes and sarcopenia risk are heritable; however, the genetic architecture and molecular mechanisms underlying sarcopenia remain largely unclear. In recent years, significant progress has been made in determining susceptibility loci using genome-wide association studies. In addition, recent advances in omics techniques, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics, offer new opportunities to identify novel targets to help us understand the pathophysiology of sarcopenia. However, each individual technology cannot capture the entire view of the biological complexity of this disorder, while integrative multi-omics analyses may be able to reveal new insights. Here, we review the latest findings of multi-omics studies for sarcopenia and provide an in-depth summary of our current understanding of sarcopenia pathogenesis. Leveraging multi-omics data could give us a holistic understanding of sarcopenia etiology that may lead to new clinical applications. This review offers guidance and recommendations for fundamental research, innovative perspectives, and preventative and therapeutic interventions for sarcopenia.
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Abstract
Sports genomics is the scientific discipline that focuses on the organization and function of the genome in elite athletes, and aims to develop molecular methods for talent identification, personalized exercise training, nutritional need and prevention of exercise-related diseases. It postulates that both genetic and environmental factors play a key role in athletic performance and related phenotypes. This update on the panel of genetic markers (DNA polymorphisms) associated with athlete status and soft-tissue injuries covers advances in research reported in recent years, including one whole genome sequencing (WGS) and four genome-wide association (GWAS) studies, as well as findings from collaborative projects and meta-analyses. At end of 2020, the total number of DNA polymorphisms associated with athlete status was 220, of which 97 markers have been found significant in at least two studies (35 endurance-related, 24 power-related, and 38 strength-related). Furthermore, 29 genetic markers have been linked to soft-tissue injuries in at least two studies. The most promising genetic markers include HFE rs1799945, MYBPC3 rs1052373, NFIA-AS2 rs1572312, PPARA rs4253778, and PPARGC1A rs8192678 for endurance; ACTN3 rs1815739, AMPD1 rs17602729, CPNE5 rs3213537, CKM rs8111989, and NOS3 rs2070744 for power; LRPPRC rs10186876, MMS22L rs9320823, PHACTR1 rs6905419, and PPARG rs1801282 for strength; and COL1A1 rs1800012, COL5A1 rs12722, COL12A1 rs970547, MMP1 rs1799750, MMP3 rs679620, and TIMP2 rs4789932 for soft-tissue injuries. It should be appreciated, however, that hundreds and even thousands of DNA polymorphisms are needed for the prediction of athletic performance and injury risk.
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29
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Kim C, Kim YJ, Choi W, Jang HM, Hwang MY, Jung S, Lim H, Hong SB, Yoon K, Kim BJ, Park HY, Han B. Phenome-wide association study of the major histocompatibility complex region in the Korean population identifies novel association signals. Hum Mol Genet 2022; 31:2655-2667. [PMID: 35043955 DOI: 10.1093/hmg/ddac016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/11/2021] [Accepted: 01/11/2022] [Indexed: 11/13/2022] Open
Abstract
Human leukocyte antigen (HLA) gene variants in the major histocompatibility complex (MHC) region are associated with numerous complex human diseases and quantitative traits. Previous phenome-wide association studies (PheWAS) for this region demonstrated that HLA association patterns to the phenome have both population-specific and population-shared components. We performed MHC PheWAS in the Korean population by analyzing associations between phenotypes and genetic variants in the MHC region using the Korea Biobank Array project data samples from the Korean Genome and Epidemiology Study (KoGES) cohorts. Using this single-population dataset, we curated and analyzed 82 phenotypes for 125 673 Korean individuals after imputing HLA using CookHLA, a recently developed imputation framework. More than one-third of these phenotypes showed significant associations, confirming 56 known associations and discovering 13 novel association signals that were not reported previously. In addition, we analyzed heritability explained by the variants in the MHC region and genetic correlations among phenotypes based on the MHC variants.
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Affiliation(s)
- Chanwoo Kim
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Wanson Choi
- Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Hye-Mi Jang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Mi Yeong Hwang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Sunwoo Jung
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Hyunjoon Lim
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Sang Bin Hong
- Department of Neurology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Kyungheon Yoon
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Hyun-Young Park
- Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159, Republic of Korea
| | - Buhm Han
- Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
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30
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Zhuo C, Zhao J, Wang Q, Lin Z, Cai H, Pan H, Chen L, Jin X, Jin H, Xu L, Tao X. Assessment of causal associations between handgrip strength and cardiovascular diseases: A two sample mendelian randomization study. Front Cardiovasc Med 2022; 9:930077. [PMID: 35990959 PMCID: PMC9386423 DOI: 10.3389/fcvm.2022.930077] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background Several observational studies have identified that handgrip strength was inversely associated with cardiovascular diseases (CVDs). Nevertheless, causality remains controversial. We conducted Mendelian randomization (MR) analysis to examine whether handgrip strength and risk of CVDs are causally associated. Methods We identified 160 independent single nucleotide polymorphisms (SNPs) for right-hand grip strength and 136 independent SNPs for left-hand grip strength at the genome-wide significant threshold (P < 5 × 10-8) from UK Biobank participants and evaluated these in relation to risk of CVDs. MR estimates was calculated using the inverse-variance weighted (IVW) method and multiple sensitivity analysis was further conducted. Results Genetical liability to handgrip strength was significantly associated with coronary artery disease (CAD) and myocardial infarction (MI), but not stroke, hypertension, or heart failure. Additionally, there was significant association between right-hand grip strength and atrial fibrillation (OR, 0.967; 95% CI, 0.950-0.984; p = 0.000222), however, suggestive significance was found between left-hand grip strength and atrial fibrillation (OR, 0.977; 95% CI, 0.957-0.998; p = 0.033). Results were similar in several sensitivity analysis. Conclusion Our study provides support at the genetic level that handgrip strength is negatively associated with the risk of CAD, MI, and atrial fibrillation. Specific handgrip strength interventions on CVDs warrant exploration as potential CVDs prevention measures.
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Affiliation(s)
- Chengui Zhuo
- Department of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Jianqiang Zhao
- Department of Cardiology, The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China
| | - Qiqi Wang
- Department of Cardiology and Atrial Fibrillation Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Zujin Lin
- Department of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Haipeng Cai
- Department of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Huili Pan
- Department of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Lei Chen
- Department of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Xiangyu Jin
- Department of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Hong Jin
- Department of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Longwei Xu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiyan Tao
- Department of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
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31
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Kikuchi N, Moreland E, Homma H, Semenova EA, Saito M, Larin AK, Kobatake N, Yusupov RA, Okamoto T, Nakazato K, Williams AG, Generozov EV, Ahmetov II. Genes and Weightlifting Performance. Genes (Basel) 2021; 13:25. [PMID: 35052366 PMCID: PMC8775245 DOI: 10.3390/genes13010025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/16/2021] [Accepted: 12/22/2021] [Indexed: 11/17/2022] Open
Abstract
A recent case-control study identified 28 DNA polymorphisms associated with strength athlete status. However, studies of genotype-phenotype design are required to support those findings. The aim of the present study was to investigate both individually and in combination the association of 28 genetic markers with weightlifting performance in Russian athletes and to replicate the most significant findings in an independent cohort of Japanese athletes. Genomic DNA was collected from 53 elite Russian (31 men and 22 women, 23.3 ± 4.1 years) and 100 sub-elite Japanese (53 men and 47 women, 21.4 ± 4.2 years) weightlifters, and then genotyped using PCR or micro-array analysis. Out of 28 DNA polymorphisms, LRPPRC rs10186876 A, MMS22L rs9320823 T, MTHFR rs1801131 C, and PHACTR1 rs6905419 C alleles positively correlated (p < 0.05) with weightlifting performance (i.e., total lifts in snatch and clean and jerk in official competitions adjusted for sex and body mass) in Russian athletes. Next, using a polygenic approach, we found that carriers of a high (6-8) number of strength-related alleles had better competition results than carriers of a low (0-5) number of strength-related alleles (264.2 (14.7) vs. 239.1 (21.9) points; p = 0.009). These findings were replicated in the study of Japanese athletes. More specifically, Japanese carriers of a high number of strength-related alleles were stronger than carriers of a low number of strength-related alleles (212.9 (22.6) vs. 199.1 (17.2) points; p = 0.0016). In conclusion, we identified four common gene polymorphisms individually or in combination associated with weightlifting performance in athletes from East European and East Asian geographic ancestries.
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Affiliation(s)
- Naoki Kikuchi
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
- Faculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan;
| | - Ethan Moreland
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK;
| | - Hiroki Homma
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
| | - Ekaterina A. Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
- Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, 420010 Kazan, Russia
| | - Mika Saito
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
| | - Andrey K. Larin
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
| | - Naoyuki Kobatake
- Faculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan;
| | - Rinat A. Yusupov
- Department of Physical Culture and Sport, Kazan National Research Technical University Named after A.N. Tupolev-KAI, 420111 Kazan, Russia;
| | - Takanobu Okamoto
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
- Faculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan;
| | - Koichi Nakazato
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
- Faculty of Medical Science, Nippon Sport Science University, Tokyo 158-8508, Japan
| | - Alun G. Williams
- Sports Genomics Laboratory, Department of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester M15 6BH, UK;
- Institute of Sport, Exercise and Health, University College London, London W1T 7HA, UK
| | - Edward V. Generozov
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
| | - Ildus I. Ahmetov
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK;
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
- Department of Physical Education, Plekhanov Russian University of Economics, 115093 Moscow, Russia
- Laboratory of Molecular Genetics, Kazan State Medical University, 420012 Kazan, Russia
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32
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Ginevičienė V, Jakaitienė A, Utkus A, Hall ECR, Semenova EA, Andryushchenko LB, Larin AK, Moreland E, Generozov EV, Ahmetov II. CKM Gene rs8111989 Polymorphism and Power Athlete Status. Genes (Basel) 2021; 12:1499. [PMID: 34680894 PMCID: PMC8536047 DOI: 10.3390/genes12101499] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 09/23/2021] [Accepted: 09/23/2021] [Indexed: 11/16/2022] Open
Abstract
Multiple genetic variants are known to influence athletic performance. These include polymorphisms of the muscle-specific creatine kinase (CKM) gene, which have been associated with endurance and/or power phenotypes. However, independent replication is required to support those findings. The aim of the present study was to determine whether the CKM (rs8111989, c.*800A>G) polymorphism is associated with power athlete status in professional Russian and Lithuanian competitors. Genomic DNA was collected from 693 national and international standard athletes from Russia (n = 458) and Lithuania (n = 235), and 500 healthy non-athlete subjects from Russia (n = 291) and Lithuania (n = 209). Genotyping for the CKM rs8111989 (A/G) polymorphism was performed using PCR or micro-array analysis. Genotype and allele frequencies were compared between all athletes and non-athletes, and between non-athletes and athletes, segregated according to population and sporting discipline (from anaerobic-type events). No statistically significant differences in genotype or allele frequencies were observed between non-athletes and power athletes (strength-, sprint- and speed/strength-oriented) athletes. The present study reports the non-association of the CKM rs8111989 with elite status in athletes from sports in which anaerobic energy pathways determine success.
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Affiliation(s)
- Valentina Ginevičienė
- Department of Human and Medical Genetics, Institute of Biomedical Science, Faculty of Medicine, Vilnius University, 01513 Vilnius, Lithuania; (V.G.); (A.J.); (A.U.)
| | - Audronė Jakaitienė
- Department of Human and Medical Genetics, Institute of Biomedical Science, Faculty of Medicine, Vilnius University, 01513 Vilnius, Lithuania; (V.G.); (A.J.); (A.U.)
| | - Algirdas Utkus
- Department of Human and Medical Genetics, Institute of Biomedical Science, Faculty of Medicine, Vilnius University, 01513 Vilnius, Lithuania; (V.G.); (A.J.); (A.U.)
| | - Elliott C. R. Hall
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK; (E.C.R.H.); (E.M.)
| | - Ekaterina A. Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
- Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, 420010 Kazan, Russia
| | - Liliya B. Andryushchenko
- Department of Physical Education, Plekhanov Russian University of Economics, 115093 Moscow, Russia;
| | - Andrey K. Larin
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
| | - Ethan Moreland
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK; (E.C.R.H.); (E.M.)
| | - Edward V. Generozov
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
| | - Ildus I. Ahmetov
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK; (E.C.R.H.); (E.M.)
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
- Department of Physical Education, Plekhanov Russian University of Economics, 115093 Moscow, Russia;
- Laboratory of Molecular Genetics, Kazan State Medical University, 420012 Kazan, Russia
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33
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Abstract
Human physiology is likely to have been selected for endurance physical activity. However, modern humans have become largely sedentary, with physical activity becoming a leisure-time pursuit for most. Whereas inactivity is a strong risk factor for disease, regular physical activity reduces the risk of chronic disease and mortality. Although substantial epidemiological evidence supports the beneficial effects of exercise, comparatively little is known about the molecular mechanisms through which these effects operate. Genetic and genomic analyses have identified genetic variation associated with human performance and, together with recent proteomic, metabolomic and multi-omic analyses, are beginning to elucidate the molecular genetic mechanisms underlying the beneficial effects of physical activity on human health.
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Affiliation(s)
- Daniel Seung Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.,Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. .,Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA. .,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. .,Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
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34
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Santanasto AJ, Wojczynski MK, Cvejkus RK, Lin S, Wang L, Thyagarajan B, Christensen K, Schupf N, Feitosa MF, An P, Zmuda JM. Identification of a Novel Locus for Gait Speed Decline With Aging: The Long Life Family Study. J Gerontol A Biol Sci Med Sci 2021; 76:e307-e313. [PMID: 34156441 PMCID: PMC8436996 DOI: 10.1093/gerona/glab177] [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: 12/11/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Gait speed is a powerful indicator of health with aging. Potential genetic contributions to gait speed and its decline with aging are not well defined. We determined the heritability of and potential genetic regions underlying change in gait speed using longitudinal data from 2379 individuals belonging to 509 families in the Long Life Family Study (mean age 64 ± 12, range 30-110 years; 45% men). METHODS Gait speed was measured over 4 m at baseline and follow-up (7 ± 1 years). Quantitative trait linkage analyses were completed using pedigree-based maximum likelihood methods with logarithm of the odds (LOD) scores greater than 3.0, indicating genome-wide significance. We also performed linkage analysis in the top 10% of families contributing to LOD scores to allow for heterogeneity among families (HLOD). Data were adjusted for age, sex, height, and field center. RESULTS At baseline, 26.9% of individuals had "slow" gait speed less than 1.0 m/s (mean: 1.1 ± 0.2 m/s) and gait speed declined at a rate of -0.02 ± 0.03 m/s per year (p < .0001). Baseline and change in gait speed were significantly heritable (h2 = 0.24-0.32, p < .05). We did not find significant evidence for linkage for baseline gait speed; however, we identified a significant locus for change in gait speed on chromosome 16p (LOD = 4.2). A subset of 21 families contributed to this linkage peak (HLOD = 6.83). Association analyses on chromosome 16 showed that the strongest variant resides within the ADCY9 gene. CONCLUSION Further analysis of the chromosome 16 region, and ADCY9 gene, may yield new insight on the biology of mobility decline with aging.
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Affiliation(s)
- Adam J Santanasto
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
| | - Mary K Wojczynski
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ryan K Cvejkus
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
| | - Shiow Lin
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Lihua Wang
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, USA
| | - Kaare Christensen
- The Danish Aging Research Center, Epidemiology Unit, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nicole Schupf
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Mary F Feitosa
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ping An
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Joseph M Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
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Bell JA, Wade KH, O’Keeffe LM, Carslake D, Vincent EE, Holmes MV, Timpson NJ, Davey Smith G. Body muscle gain and markers of cardiovascular disease susceptibility in young adulthood: A cohort study. PLoS Med 2021; 18:e1003751. [PMID: 34499663 PMCID: PMC8428664 DOI: 10.1371/journal.pmed.1003751] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 08/03/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The potential benefits of gaining body muscle for cardiovascular disease (CVD) susceptibility, and how these compare with the potential harms of gaining body fat, are unknown. We compared associations of early life changes in body lean mass and handgrip strength versus body fat mass with atherogenic traits measured in young adulthood. METHODS AND FINDINGS Data were from 3,227 offspring of the Avon Longitudinal Study of Parents and Children (39% male; recruited in 1991-1992). Limb lean and total fat mass indices (kg/m2) were measured using dual-energy X-ray absorptiometry scans performed at age 10, 13, 18, and 25 y (across clinics occurring from 2001-2003 to 2015-2017). Handgrip strength was measured at 12 and 25 y, expressed as maximum grip (kg or lb/in2) and relative grip (maximum grip/weight in kilograms). Linear regression models were used to examine associations of change in standardised measures of these exposures across different stages of body development with 228 cardiometabolic traits measured at age 25 y including blood pressure, fasting insulin, and metabolomics-derived apolipoprotein B lipids. SD-unit gain in limb lean mass index from 10 to 25 y was positively associated with atherogenic traits including very-low-density lipoprotein (VLDL) triglycerides. This pattern was limited to lean gain in legs, whereas lean gain in arms was inversely associated with traits including VLDL triglycerides, insulin, and glycoprotein acetyls, and was also positively associated with creatinine (a muscle product and positive control). Furthermore, this pattern for arm lean mass index was specific to SD-unit gains occurring between 13 and 18 y, e.g., -0.13 SD (95% CI -0.22, -0.04) for VLDL triglycerides. Changes in maximum and relative grip from 12 to 25 y were both positively associated with creatinine, but only change in relative grip was also inversely associated with atherogenic traits, e.g., -0.12 SD (95% CI -0.18, -0.06) for VLDL triglycerides per SD-unit gain. Change in fat mass index from 10 to 25 y was more strongly associated with atherogenic traits including VLDL triglycerides, at 0.45 SD (95% CI 0.39, 0.52); these estimates were directionally consistent across sub-periods, with larger effect sizes with more recent gains. Associations of lean, grip, and fat measures with traits were more pronounced among males. Study limitations include potential residual confounding of observational estimates, including by ectopic fat within muscle, and the absence of grip measures in adolescence for estimates of grip change over sub-periods. CONCLUSIONS In this study, we found that muscle strengthening, as indicated by grip strength gain, was weakly associated with lower atherogenic trait levels in young adulthood, at a smaller magnitude than unfavourable associations of fat mass gain. Associations of muscle mass gain with such traits appear to be smaller and limited to gains occurring in adolescence. These results suggest that body muscle is less robustly associated with markers of CVD susceptibility than body fat and may therefore be a lower-priority intervention target.
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Affiliation(s)
- Joshua A. Bell
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kaitlin H. Wade
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Linda M. O’Keeffe
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- School of Public Health, University College Cork, Cork, Ireland
| | - David Carslake
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Emma E. Vincent
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Michael V. Holmes
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, United Kingdom
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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36
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Association between physical activity, grip strength and sedentary behaviour with incidence of malignant melanoma: results from the UK Biobank. Br J Cancer 2021; 125:593-600. [PMID: 34059803 PMCID: PMC8368160 DOI: 10.1038/s41416-021-01443-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 04/30/2021] [Accepted: 05/14/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Physical activity has been positively related to malignant melanoma. However, that association may be confounded by ultraviolet radiation (UV), a variable closely related to both outdoor physical activity and malignant melanoma. We examined physical activity, grip strength and sedentary behaviour in relation to risk of malignant melanoma, accounting for relevant confounders using data from a prospective cohort study. METHODS In 350,512 UK Biobank participants aged 38-73 years at baseline, physical activity was assessed with a modified version of the International Physical Activity Questionnaire Short Form, grip strength was measured with a hand dynamometer, and sedentary behaviour was recorded with three specific questions. Multivariable hazard ratios (HR) and corresponding 95% confidence intervals (CI) were estimated using Cox proportional hazards regression. RESULTS During 7 years of follow-up, 1239 incident malignant melanoma diagnoses were recorded. Physical activity and sedentary behaviour were unrelated to malignant melanoma (HRs 1.01 (95% CI 0.95-1.07) and 1.04 (95% CI 0.97-1.12), respectively), and the initially positive association with grip strength in the basic model (HR 1.23, 95% CI 1.08-1.40) was attenuated after full adjustment (HR 1.10, 95% CI 0.96-1.26). CONCLUSION Physical activity, grip strength and sedentary behaviour are not associated with malignant melanoma risk.
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Lesanpezeshki L, Qadota H, Darabad MN, Kashyap K, Lacerda CMR, Szewczyk NJ, Benian GM, Vanapalli SA. Investigating the correlation of muscle function tests and sarcomere organization in C. elegans. Skelet Muscle 2021; 11:20. [PMID: 34389048 PMCID: PMC8362255 DOI: 10.1186/s13395-021-00275-4] [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] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 07/08/2021] [Indexed: 11/20/2022] Open
Abstract
Background Caenorhabditis elegans has been widely used as a model to study muscle structure and function. Its body wall muscle is functionally and structurally similar to vertebrate skeletal muscle with conserved molecular pathways contributing to sarcomere structure, and muscle function. However, a systematic investigation of the relationship between muscle force and sarcomere organization is lacking. Here, we investigate the contribution of various sarcomere proteins and membrane attachment components to muscle structure and function to introduce C. elegans as a model organism to study the genetic basis of muscle strength. Methods We employ two recently developed assays that involve exertion of muscle forces to investigate the correlation of muscle function to sarcomere organization. We utilized a microfluidic pillar-based platform called NemaFlex that quantifies the maximum exertable force and a burrowing assay that challenges the animals to move in three dimensions under a chemical stimulus. We selected 20 mutants with known defects in various substructures of sarcomeres and compared the physiological function of muscle proteins required for force generation and transmission. We also characterized the degree of sarcomere disorganization using immunostaining approaches. Results We find that mutants with genetic defects in thin filaments, thick filaments, and M-lines are generally weaker, and our assays are successful in detecting the functional changes in response to each sarcomere location tested. We find that the NemaFlex and burrowing assays are functionally distinct informing on different aspects of muscle physiology. Specifically, the burrowing assay has a larger bandwidth in phenotyping muscle mutants, because it could pick ten additional mutants impaired while exerting normal muscle force in NemaFlex. This enabled us to combine their readouts to develop an integrated muscle function score that was found to correlate with the score for muscle structure disorganization. Conclusions Our results highlight the suitability of NemaFlex and burrowing assays for evaluating muscle physiology of C. elegans. Using these approaches, we discuss the importance of the studied sarcomere proteins for muscle function and structure. The scoring methodology we have developed enhances the utility of C. elegans as a genetic model to study muscle function. Supplementary Information The online version contains supplementary material available at 10.1186/s13395-021-00275-4.
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Affiliation(s)
- Leila Lesanpezeshki
- Department of Chemical Engineering, Texas Tech University, Lubbock, TX, 79409, USA
| | - Hiroshi Qadota
- Department of Pathology, Emory University, Atlanta, GA, 30322, USA
| | | | - Karishma Kashyap
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, 79409, USA
| | - Carla M R Lacerda
- Department of Chemical Engineering, Texas Tech University, Lubbock, TX, 79409, USA
| | - Nathaniel J Szewczyk
- MRC/Arthritis Research UK Centre for Musculoskeletal Ageing Research, University of Nottingham, United Kingdom & National Institute for Health Research Nottingham Biomedical Research Centre, Derby, DE22 3DT, UK.,Ohio Musculoskeletal and Neurological Institute (OMNI) and Department of Biomedical Sciences, Ohio University, Athens, OH, 45701, USA
| | - Guy M Benian
- Department of Pathology, Emory University, Atlanta, GA, 30322, USA
| | - Siva A Vanapalli
- Department of Chemical Engineering, Texas Tech University, Lubbock, TX, 79409, USA.
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Sakaue TA, Obata Y, Fujishima Y, Kozawa J, Otsuki M, Yamamoto T, Maeda N, Nishizawa H, Shimomura I. A Japanese patient with a 2p25.3 terminal deletion presented with early-onset obesity, intellectual disability and diabetes mellitus: A case report. J Diabetes Investig 2021; 13:391-396. [PMID: 34382350 PMCID: PMC8847130 DOI: 10.1111/jdi.13645] [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: 05/31/2021] [Revised: 08/04/2021] [Accepted: 08/06/2021] [Indexed: 11/28/2022] Open
Abstract
2p25.3 deletion syndrome is a rare genetic disorder that accompanies various phenotypic features, including early‐onset obesity and intellectual disability. Here, we report the first Japanese case of this deletion associated with severe obesity and diabetes mellitus. Microarray‐based comparative genomic hybridization analysis identified a 3.1‐Mb deletion of distal chromosome band 2p25.3, which was suspected as de novo. The patient also presented bilateral cataracts and adolescent‐onset muscular weakness of the upper limbs, both of which were uncommon in previously reported cases. It is possible that these symptoms are also important clinical features suggestive of this syndrome.
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Affiliation(s)
- Taka-Aki Sakaue
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yoshinari Obata
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yuya Fujishima
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Junji Kozawa
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.,Department of Diabetes Care Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Michio Otsuki
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Toshiyuki Yamamoto
- Institute of Medical Genetics, Tokyo Women's Medical University, Tokyo, Japan
| | - Norikazu Maeda
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.,Department of Metabolism and Atherosclerosis, Graduate School of Medicine Osaka University, Osaka, Japan
| | - Hitoshi Nishizawa
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
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Gonzales TI, Westgate K, Strain T, Hollidge S, Jeon J, Christensen DL, Jensen J, Wareham NJ, Brage S. Cardiorespiratory fitness assessment using risk-stratified exercise testing and dose-response relationships with disease outcomes. Sci Rep 2021; 11:15315. [PMID: 34321526 PMCID: PMC8319417 DOI: 10.1038/s41598-021-94768-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 07/06/2021] [Indexed: 02/07/2023] Open
Abstract
Cardiorespiratory fitness (CRF) is associated with mortality and cardiovascular disease, but assessing CRF in the population is challenging. Here we develop and validate a novel framework to estimate CRF (as maximal oxygen consumption, VO2max) from heart rate response to low-risk personalised exercise tests. We apply the method to examine associations between CRF and health outcomes in the UK Biobank study, one of the world's largest and most inclusive studies of CRF, showing that risk of all-cause mortality is 8% lower (95%CI 5-11%, 2670 deaths among 79,981 participants) and cardiovascular mortality is 9% lower (95%CI 4-14%, 854 deaths) per 1-metabolic equivalent difference in CRF. Associations obtained with the novel validated CRF estimation method are stronger than those obtained using previous methodology, suggesting previous methods may have underestimated the importance of fitness for human health.
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Affiliation(s)
- Tomas I Gonzales
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK
| | - Kate Westgate
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK
| | - Tessa Strain
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK
| | - Stefanie Hollidge
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK
| | - Justin Jeon
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK
- Yonsei University, Seoul, Republic of Korea
| | - Dirk L Christensen
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK
- University of Copenhagen, Copenhagen, Denmark
| | - Jorgen Jensen
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK
- Department Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
| | - Nicholas J Wareham
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK
| | - Søren Brage
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Box 285, Cambridge, CB2 0QQ, UK.
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40
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Verghese J, Ayers E, Sathyan S, Lipton RB, Milman S, Barzilai N, Wang C. Trajectories of frailty in aging: Prospective cohort study. PLoS One 2021; 16:e0253976. [PMID: 34252094 PMCID: PMC8274857 DOI: 10.1371/journal.pone.0253976] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/16/2021] [Indexed: 12/16/2022] Open
Abstract
Background Emerging evidence suggests that there is significant variability in the progression of frailty in aging. We aimed to identify latent subpopulations of frailty trajectories, and examine their clinical and biological correlates. Methods We characterized frailty using a 41-item cumulative deficit score at baseline and annual visits up to 12 years in 681 older adults (55% women, mean age 74·6 years). Clinical risk profile and walking while talking performance as a clinical marker of trajectories were examined. Mortality risk associated with trajectories was evaluated using Cox regression adjusted for established survival predictors, and reported as hazard ratios (HR). Proteome-wide analysis was done. Findings Latent class modeling identified 4 distinct frailty trajectories: relatively stable (34·4%) as well as mild (36·1%), moderate (24·1%) and severely frail (5·4%). Four distinct classes of frailty trajectories were also shown in an independent sample of 515 older adults (60% women, 68% White, 26% Black). The stable group took a median of 31 months to accumulate one additional deficit compared to 20 months in the severely frail group. The worst trajectories were associated with modifiable risk factors such as low education, living alone, obesity, and physical inactivity as well as slower walking while talking speed. In the pooled sample, mild (HR 2·33, 95% CI 1·30–4·18), moderate (HR 2·49, 95% CI 1·33–4·66), and severely frail trajectories (HR 5·28, 95% CI 2·68–10·41) had higher mortality compared to the stable group. Proteomic analysis showed 11 proteins in lipid metabolism and growth factor pathways associated with frailty trajectories. Conclusion Frailty shows both stable and accelerated patterns in aging, which can be distinguished clinically and biologically.
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Affiliation(s)
- Joe Verghese
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, United States of America
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, United States of America
- * E-mail:
| | - Emmeline Ayers
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Sanish Sathyan
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Richard B. Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, United States of America
- Department of Psychiatry, Albert Einstein College of Medicine, Bronx, New York, United States of America
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Sofiya Milman
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, United States of America
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Nir Barzilai
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, United States of America
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Cuiling Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
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Sarnowski C, Chen H, Biggs ML, Wassertheil-Smoller S, Bressler J, Irvin MR, Ryan KA, Karasik D, Arnett DK, Cupples LA, Fardo DW, Gogarten SM, Heavner BD, Jain D, Kang HM, Kooperberg C, Mainous AG, Mitchell BD, Morrison AC, O’Connell JR, Psaty BM, Rice K, Smith AV, Vasan RS, Windham BG, Kiel DP, Murabito JM, Lunetta KL. Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program. PLoS One 2021; 16:e0253611. [PMID: 34214102 PMCID: PMC8253404 DOI: 10.1371/journal.pone.0253611] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 06/08/2021] [Indexed: 12/15/2022] Open
Abstract
Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7-12%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.
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Affiliation(s)
- Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
- Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Mary L. Biggs
- Cardiovascular Health Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Jan Bressler
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Marguerite R. Irvin
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, United States of America
| | - Kathleen A. Ryan
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America
| | - David Karasik
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States of America
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Donna K. Arnett
- University of Kentucky, College of Public Health, Lexington, KY, United States of America
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- National Heart Lung and Blood Institute and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
| | - David W. Fardo
- Department of Biostatistics and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States of America
| | - Stephanie M. Gogarten
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Benjamin D. Heavner
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Hyun Min Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Arch G. Mainous
- Department of Health Services Research, Management and Policy, University of Florida, Gainesville, FL, United States of America
| | - Braxton D. Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, United States of America
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Jeffrey R. O’Connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America
| | - Bruce M. Psaty
- Cardiovascular Health Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America
- Departments of Epidemiology and Health Services, University of Washington, Seattle, WA, United States of America
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Albert V. Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States of America
| | - Ramachandran S. Vasan
- National Heart Lung and Blood Institute and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
- Section of Preventive Medicine and Epidemiology, Evans Department of Medicine, Boston University School of Medicine, Boston, MA, United States of America
- Whitaker Cardiovascular Institute and Cardiology Section, Evans Department of Medicine, Boston University School of Medicine, Boston, MA, United States of America
| | - B. Gwen Windham
- The MIND Center, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America
- Broad Institute of Harvard & MIT, Cambridge, MA, United States of America
| | - Joanne M. Murabito
- National Heart Lung and Blood Institute and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States of America
| | - Kathryn L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
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Treaster S, Karasik D, Harris MP. Footprints in the Sand: Deep Taxonomic Comparisons in Vertebrate Genomics to Unveil the Genetic Programs of Human Longevity. Front Genet 2021; 12:678073. [PMID: 34163529 PMCID: PMC8215702 DOI: 10.3389/fgene.2021.678073] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 05/12/2021] [Indexed: 01/09/2023] Open
Abstract
With the modern quality, quantity, and availability of genomic sequencing across species, as well as across the expanse of human populations, we can screen for shared signatures underlying longevity and lifespan. Knowledge of these mechanisms would be medically invaluable in combating aging and age-related diseases. The diversity of longevities across vertebrates is an opportunity to look for patterns of genetic variation that may signal how this life history property is regulated, and ultimately how it can be modulated. Variation in human longevity provides a unique window to look for cases of extreme lifespan within a population, as well as associations across populations for factors that influence capacity to live longer. Current large cohort studies support the use of population level analyses to identify key factors associating with human lifespan. These studies are powerful in concept, but have demonstrated limited ability to resolve signals from background variation. In parallel, the expanding catalog of sequencing and annotation from diverse species, some of which have evolved longevities well past a human lifespan, provides independent cases to look at the genomic signatures of longevity. Recent comparative genomic work has shown promise in finding shared mechanisms associating with longevity among distantly related vertebrate groups. Given the genetic constraints between vertebrates, we posit that a combination of approaches, of parallel meta-analysis of human longevity along with refined analysis of other vertebrate clades having exceptional longevity, will aid in resolving key regulators of enhanced lifespan that have proven to be elusive when analyzed in isolation.
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Affiliation(s)
- Stephen Treaster
- Department of Orthopaedics, Boston Children's Hospital, Boston, MA, United States.,Department of Genetics, Harvard Medical School, Boston, MA, United States
| | - David Karasik
- Azrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel.,Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Matthew P Harris
- Department of Orthopaedics, Boston Children's Hospital, Boston, MA, United States.,Department of Genetics, Harvard Medical School, Boston, MA, United States
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43
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Pruett DG, Shaw DM, Chen HH, Petty LE, Polikowsky HG, Kraft SJ, Jones RM, Below JE. Identifying developmental stuttering and associated comorbidities in electronic health records and creating a phenome risk classifier. JOURNAL OF FLUENCY DISORDERS 2021; 68:105847. [PMID: 33894541 PMCID: PMC8188400 DOI: 10.1016/j.jfludis.2021.105847] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 03/30/2021] [Accepted: 03/31/2021] [Indexed: 05/31/2023]
Abstract
PURPOSE This study aimed to identify cases of developmental stuttering and associated comorbidities in de-identified electronic health records (EHRs) at Vanderbilt University Medical Center, and, in turn, build and test a stuttering prediction model. METHODS A multi-step process including a keyword search of medical notes, a text-mining algorithm, and manual review was employed to identify stuttering cases in the EHR. Confirmed cases were compared to matched controls in a phenotype code (phecode) enrichment analysis to reveal conditions associated with stuttering (i.e., comorbidities). These associated phenotypes were used as proxy variables to phenotypically predict stuttering in subjects within the EHR that were not otherwise identifiable using the multi-step identification process described above. RESULTS The multi-step process resulted in the manually reviewed identification of 1,143 stuttering cases in the EHR. Highly enriched phecodes included codes related to childhood onset fluency disorder, adult-onset fluency disorder, hearing loss, sleep disorders, atopy, a multitude of codes for infections, neurological deficits, and body weight. These phecodes were used as variables to create a phenome risk classifier (PheRC) prediction model to identify additional high likelihood stuttering cases. The PheRC prediction model resulted in a positive predictive value of 83 %. CONCLUSIONS This study demonstrates the feasibility of using EHRs in the study of stuttering and found phenotypic associations. The creation of the PheRC has the potential to enable future studies of stuttering using existing EHR data, including investigations into the genetic etiology.
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Affiliation(s)
- Dillon G Pruett
- Department of Hearing and Speech Sciences, Vanderbilt University, United States
| | - Douglas M Shaw
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, United States
| | - Hung-Hsin Chen
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, United States
| | - Lauren E Petty
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, United States
| | - Hannah G Polikowsky
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, United States
| | - Shelly Jo Kraft
- Department of Communication Sciences and Disorders, Wayne State University, United States
| | - Robin M Jones
- Department of Hearing and Speech Sciences, Vanderbilt University, United States
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, United States.
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44
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Bhattacharyya U, Deshpande SN, Bhatia T, Thelma BK. Revisiting Schizophrenia from an Evolutionary Perspective: An Association Study of Recent Evolutionary Markers and Schizophrenia. Schizophr Bull 2021; 47:827-836. [PMID: 33350444 PMCID: PMC8759809 DOI: 10.1093/schbul/sbaa179] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The persistence of schizophrenia in human populations at a high prevalence and with a large heritability estimate despite reduced fertility and increased mortality rate is a Darwinian paradox. This may be likely if the genomic components that predispose to schizophrenia are also advantageous for the acquisition of important human traits, such as language and cognition. Accordingly, an emerging group of genomic markers of recent evolution in humans, namely human accelerated regions (HARs), since our divergence from chimpanzees, are gaining importance for neurodevelopmental disorders, such as schizophrenia. We hypothesize that variants within HARs may affect the expression of genes under their control, thus contributing to disease etiology. A total of 49 HAR single nucleotide polymorphisms (SNPs) were prioritized from the complete repertoire of HARs (n = 2737) based on their functional relevance and prevalence in the South Asian population. Test of association using 2 independent schizophrenia case-control cohorts of north Indian ethnicity (discovery: n = 930; replication: n = 1104) revealed 3 SNPs (rs3800926, rs3801844, and rs764453) from chromosome 7 and rs77047799 from chromosome 3 to be significantly associated (combined analysis: Bonferroni corrected P < .002-.000004). Of note, these SNPs were found to alter the expression of neurodevelopmental genes such as SLC25A13, MAD1L1, and ULK4; a few from the HOX gene family; and a few genes that are implicated in mitochondrial function. These SNPs may most likely alter binding sites of transcription factors, including TFCP2, MAFK, SREBF2, E2F1, and/or methylation signatures around these genes. These findings reiterate a neurodevelopmental basis of schizophrenia and also open up a promising avenue to investigate HAR-mediated mitochondrial dysfunction in schizophrenia etiology.
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Affiliation(s)
| | | | | | - B K Thelma
- Department of Genetics, University of Delhi South Campus, New Delhi, India
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45
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Clynes MA, Gregson CL, Bruyère O, Cooper C, Dennison EM. Osteosarcopenia: where osteoporosis and sarcopenia collide. Rheumatology (Oxford) 2021; 60:529-537. [PMID: 33276373 DOI: 10.1093/rheumatology/keaa755] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 09/24/2020] [Accepted: 10/02/2020] [Indexed: 12/15/2022] Open
Abstract
The coexistence of osteoporosis and sarcopenia has been recently considered in some groups as a syndrome termed 'osteosarcopenia'. Osteoporosis describes low bone mass and deterioration of the micro-architecture of the bone, whereas sarcopenia is the loss of muscle mass, strength and function. With an ageing population the prevalence of both conditions is likely to increase substantially over the coming decades and is associated with significant personal and societal burden. The sequelae for an individual suffering from both conditions together include a greater risk of falls, fractures, institutionalization and mortality. The aetiology of 'osteosarcopenia' is multifactorial with several factors linking muscle and bone function, including genetics, age, inflammation and obesity. Several biochemical pathways have been identified that are facilitating the development of several promising therapeutic agents, which target both muscle and bone. In the current review we outline the epidemiology, pathogenesis and clinical consequences of 'osteosarcopenia' and explore current and potential future management strategies.
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Affiliation(s)
- Michael A Clynes
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Celia L Gregson
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Olivier Bruyère
- Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK.,NIHR Oxford Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
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46
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Sakaue S, Yamaguchi E, Inoue Y, Takahashi M, Hirata J, Suzuki K, Ito S, Arai T, Hirose M, Tanino Y, Nikaido T, Ichiwata T, Ohkouchi S, Hirano T, Takada T, Miyawaki S, Dofuku S, Maeda Y, Nii T, Kishikawa T, Ogawa K, Masuda T, Yamamoto K, Sonehara K, Tazawa R, Morimoto K, Takaki M, Konno S, Suzuki M, Tomii K, Nakagawa A, Handa T, Tanizawa K, Ishii H, Ishida M, Kato T, Takeda N, Yokomura K, Matsui T, Watanabe M, Inoue H, Imaizumi K, Goto Y, Kida H, Fujisawa T, Suda T, Yamada T, Satake Y, Ibata H, Hizawa N, Mochizuki H, Kumanogoh A, Matsuda F, Nakata K, Hirota T, Tamari M, Okada Y. Genetic determinants of risk in autoimmune pulmonary alveolar proteinosis. Nat Commun 2021; 12:1032. [PMID: 33589587 PMCID: PMC7884840 DOI: 10.1038/s41467-021-21011-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 01/08/2021] [Indexed: 11/13/2022] Open
Abstract
Pulmonary alveolar proteinosis (PAP) is a devastating lung disease caused by abnormal surfactant homeostasis, with a prevalence of 6-7 cases per million population worldwide. While mutations causing hereditary PAP have been reported, the genetic basis contributing to autoimmune PAP (aPAP) has not been thoroughly investigated. Here, we conducted a genome-wide association study of aPAP in 198 patients and 395 control participants of Japanese ancestry. The common genetic variant, rs138024423 at 6p21, in the major-histocompatibility-complex (MHC) region was significantly associated with disease risk (Odds ratio [OR] = 5.2; P = 2.4 × 10-12). HLA fine-mapping revealed that the common HLA class II allele, HLA-DRB1*08:03, strongly drove this signal (OR = 4.8; P = 4.8 × 10-12), followed by an additional independent risk allele at HLA-DPβ1 amino acid position 8 (OR = 0.28; P = 3.4 × 10-7). HLA-DRB1*08:03 was also associated with an increased level of anti-GM-CSF antibody, a key driver of the disease (β = 0.32; P = 0.035). Our study demonstrated a heritable component of aPAP, suggesting an underlying genetic predisposition toward an abnormal antibody production.
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Affiliation(s)
- Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Allergy and Rheumatology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Center for Data Sciences, Harvard Medical School, Boston, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, USA
| | - Etsuro Yamaguchi
- Division of Respiratory Medicine and Allergology, Department of Internal Medicine, School of Medicine, Aichi Medical University, Aichi, Japan
| | - Yoshikazu Inoue
- Clinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Osaka, Japan
| | - Meiko Takahashi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Jun Hirata
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Pharmaceutical Discovery Research Laboratories, TEIJIN PHARMA LIMITED, Hino, Japan
| | - Ken Suzuki
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Satoru Ito
- Division of Respiratory Medicine and Allergology, Department of Internal Medicine, School of Medicine, Aichi Medical University, Aichi, Japan
| | - Toru Arai
- Clinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Osaka, Japan
| | - Masaki Hirose
- Clinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Osaka, Japan
| | - Yoshinori Tanino
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Takefumi Nikaido
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Toshio Ichiwata
- Department Respiratory Medicine, Tokyo Medical University, Tokyo, Japan
| | - Shinya Ohkouchi
- Occupational Health, Graduate School of Medicine, Tohoku University, Miyagi, Japan
| | - Taizou Hirano
- Respiratory Medicine, School of Medicine, Tohoku University, Miyagi, Japan
| | - Toshinori Takada
- Uonuma Institute of Community Medicine, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - Satoru Miyawaki
- Department of Neurosurgery, Faculty of Medicine, the University of Tokyo, Tokyo, Japan
| | - Shogo Dofuku
- Department of Neurosurgery, Faculty of Medicine, the University of Tokyo, Tokyo, Japan
| | - Yuichi Maeda
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Takuro Nii
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Toshihiro Kishikawa
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Otorhinolaryngology - Head and Neck Surgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kotaro Ogawa
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Neurology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Tatsuo Masuda
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Obstetrics and Gynecology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kyuto Sonehara
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Ryushi Tazawa
- Student Support and Health Administration Organization, Tokyo Medical and Dental University, Tokyo, Japan
| | - Konosuke Morimoto
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Masahiro Takaki
- Department of Infectious Diseases, Nagasaki University Hospital, Nagasaki University, Nagasaki, Japan
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Masaru Suzuki
- Department of Respiratory Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Keisuke Tomii
- Department of Respiratory Medicine, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Atsushi Nakagawa
- Department of Respiratory Medicine, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Tomohiro Handa
- Department of Advanced Medicine for Respiratory Failure, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kiminobu Tanizawa
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Haruyuki Ishii
- Department of Respiratory Medicine, Kyorin University, Mitaka, Japan
| | - Manabu Ishida
- Department of Respiratory Medicine, Kyorin University, Mitaka, Japan
| | - Toshiyuki Kato
- Department of Respiratory Medicine and Allergology, Kariya Toyota General Hospital, Kariya, Japan
| | - Naoya Takeda
- Department of Respiratory Medicine and Allergology, Kariya Toyota General Hospital, Kariya, Japan
| | - Koshi Yokomura
- Department of Respiratory Medicine, Respiratory Disease Center, Seirei Mikatahara General Hospital, Hamamatsu, Japan
| | - Takashi Matsui
- Department of Respiratory Medicine, Respiratory Disease Center, Seirei Mikatahara General Hospital, Hamamatsu, Japan
| | - Masaki Watanabe
- Department of Pulmonary Medicine, Graduate School of Medical & Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hiromasa Inoue
- Department of Pulmonary Medicine, Graduate School of Medical & Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Kazuyoshi Imaizumi
- Department of Respiratory Medicine, Fujita Health University School of Medicine, Aichi, Japan
| | - Yasuhiro Goto
- Department of Respiratory Medicine, Fujita Health University School of Medicine, Aichi, Japan
| | - Hiroshi Kida
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine, National Hospital Organization Osaka Toneyama Medical Center, Toyonaka, Japan
| | - Tomoyuki Fujisawa
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Takafumi Suda
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Takashi Yamada
- Department of Respiratory Medicine, Shizuoka City Shizuoka Hospital, Shizuoka, Japan
| | - Yasuomi Satake
- Department of Respiratory Medicine, Shizuoka City Shizuoka Hospital, Shizuoka, Japan
| | - Hidenori Ibata
- Department of Respiratory Medicine, National Hospital Organization Mie Chuo Medical Center, Tsu, Japan
| | - Nobuyuki Hizawa
- Department of Pulmonary Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Hideki Mochizuki
- Department of Neurology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Immunopathology, World Premier International Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Koh Nakata
- Division of Advanced Medical Development, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - Tomomitsu Hirota
- Division of Molecular Genetics, the Jikei University School of Medicine, Research Center for Medical Science, Tokyo, Japan
| | - Mayumi Tamari
- Division of Molecular Genetics, the Jikei University School of Medicine, Research Center for Medical Science, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan.
- Laboratory of Statistical Immunology, World Premier International Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan.
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47
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Jones G, Trajanoska K, Santanasto AJ, Stringa N, Kuo CL, Atkins JL, Lewis JR, Duong T, Hong S, Biggs ML, Luan J, Sarnowski C, Lunetta KL, Tanaka T, Wojczynski MK, Cvejkus R, Nethander M, Ghasemi S, Yang J, Zillikens MC, Walter S, Sicinski K, Kague E, Ackert-Bicknell CL, Arking DE, Windham BG, Boerwinkle E, Grove ML, Graff M, Spira D, Demuth I, van der Velde N, de Groot LCPGM, Psaty BM, Odden MC, Fohner AE, Langenberg C, Wareham NJ, Bandinelli S, van Schoor NM, Huisman M, Tan Q, Zmuda J, Mellström D, Karlsson M, Bennett DA, Buchman AS, De Jager PL, Uitterlinden AG, Völker U, Kocher T, Teumer A, Rodriguéz-Mañas L, García FJ, Carnicero JA, Herd P, Bertram L, Ohlsson C, Murabito JM, Melzer D, Kuchel GA, Ferrucci L, Karasik D, Rivadeneira F, Kiel DP, Pilling LC. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women. Nat Commun 2021; 12:654. [PMID: 33510174 PMCID: PMC7844411 DOI: 10.1038/s41467-021-20918-w] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 12/22/2020] [Indexed: 02/07/2023] Open
Abstract
Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 × 10-17), arthritis (GDF5 p = 4 × 10-13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.
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Affiliation(s)
- Garan Jones
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Adam J Santanasto
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA, USA
| | - Najada Stringa
- Department of Epidemiology and Biostatistics, Amsterdam UMC- Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Chia-Ling Kuo
- Biostatistics Center, Connecticut Convergence Institute for Translation in Regenerative Engineering, UConn Health, Farmington, CT, USA
| | - Janice L Atkins
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Joshua R Lewis
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- School fo Public Health University of Sydney, Sydney, NSW, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
| | - ThuyVy Duong
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shengjun Hong
- Lübeck Interdisciplinary Plattform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Mary L Biggs
- Cardiovascular Health Research Unit, Department of Medicine, and Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Chloe Sarnowski
- Biostatistics Department, Boston University School of Public Health, Boston, MA, USA
| | - Kathryn L Lunetta
- Biostatistics Department, Boston University School of Public Health, Boston, MA, USA
| | - Toshiko Tanaka
- Longitudinal Study Section, Translational Gerontology branch, National Institute on Aging, Baltimore, MD, USA
| | - Mary K Wojczynski
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Ryan Cvejkus
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA, USA
| | - Maria Nethander
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Sahar Ghasemi
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Jingyun Yang
- Rush Alzheimer's Disease Center & Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stefan Walter
- Department of Medicine and Public Health, Rey Juan Carlos University, Madrid, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
| | - Kamil Sicinski
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Erika Kague
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK
| | | | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - B Gwen Windham
- Department of Medicine/Geriatrics, University of Mississippi School of Medicine, Jackson, MS, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Megan L Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Misa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27516, USA
| | - Dominik Spira
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Department of Endocrinology and Metabolism, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Department of Endocrinology and Metabolism, Berlin, Germany
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Nathalie van der Velde
- Department of Internal Medicine, Section of Geriatric Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Lisette C P G M de Groot
- Wageningen University, Division of Human Nutrition, PO-box 17, 6700 AA, Wageningen, The Netherlands
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Michelle C Odden
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Alison E Fohner
- Department of Epidemiology and Institute of Public Genetics, University of Washington, Seattle, WA, USA
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | | | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, Amsterdam UMC- Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Amsterdam UMC- Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, Odense, Denmark
| | - Joseph Zmuda
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA, USA
| | - Dan Mellström
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Magnus Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Orthopedics and Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - David A Bennett
- Rush Alzheimer's Disease Center & Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Aron S Buchman
- Rush Alzheimer's Disease Center & Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Philip L De Jager
- Center for Translational and Systems Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Thomas Kocher
- Department of Restorative Dentistry, Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Leocadio Rodriguéz-Mañas
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- Department of Geriatrics, Getafe University Hospital, Getafe, Spain
| | - Francisco J García
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- Department of Geriatrics, Hospital Virgen del Valle, Complejo Hospitalario de Toledo, Toledo, Spain
| | | | - Pamela Herd
- Professor of Public Policy, Georgetown University, Washington, DC, USA
| | - Lars Bertram
- Lübeck Interdisciplinary Plattform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Department of Drug Treatment, Gothenburg, Sweden
| | - Joanne M Murabito
- Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA
| | - David Melzer
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - George A Kuchel
- Center on Aging, University of Connecticut Health, 263 Farmington Avenue, Farmington, CT, 06030, USA
| | | | - David Karasik
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Douglas P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife and Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Broad Institute of MIT & Harvard, Boston, MA, USA
| | - Luke C Pilling
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
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Tsetsos F, Yu D, Sul JH, Huang AY, Illmann C, Osiecki L, Darrow SM, Hirschtritt ME, Greenberg E, Muller-Vahl KR, Stuhrmann M, Dion Y, Rouleau GA, Aschauer H, Stamenkovic M, Schlögelhofer M, Sandor P, Barr CL, Grados MA, Singer HS, Nöthen MM, Hebebrand J, Hinney A, King RA, Fernandez TV, Barta C, Tarnok Z, Nagy P, Depienne C, Worbe Y, Hartmann A, Budman CL, Rizzo R, Lyon GJ, McMahon WM, Batterson JR, Cath DC, Malaty IA, Okun MS, Berlin C, Woods DW, Lee PC, Jankovic J, Robertson MM, Gilbert DL, Brown LW, Coffey BJ, Dietrich A, Hoekstra PJ, Kuperman S, Zinner SH, Wagner M, Knowles JA, Jeremy Willsey A, Tischfield JA, Heiman GA, Cox NJ, Freimer NB, Neale BM, Davis LK, Coppola G, Mathews CA, Scharf JM, Paschou P, Barr CL, Batterson JR, Berlin C, Budman CL, Cath DC, Coppola G, Cox NJ, Darrow S, Davis LK, Dion Y, Freimer NB, Grados MA, Greenberg E, Hirschtritt ME, Huang AY, Illmann C, King RA, Kurlan R, Leckman JF, Lyon GJ, Malaty IA, Mathews CA, McMahon WM, Neale BM, Okun MS, Osiecki L, Robertson MM, Rouleau GA, Sandor P, Scharf JM, Singer HS, Smit JH, Sul JH, Yu D, Aschauer HAH, Barta C, Budman CL, Cath DC, Depienne C, Hartmann A, Hebebrand J, Konstantinidis A, Mathews CA, Müller-Vahl K, Nagy P, Nöthen MM, Paschou P, Rizzo R, Rouleau GA, Sandor P, Scharf JM, Schlögelhofer M, Stamenkovic M, Stuhrmann M, Tsetsos F, Tarnok Z, Wolanczyk T, Worbe Y, Brown L, Cheon KA, Coffey BJ, Dietrich A, Fernandez TV, Garcia-Delgar B, Gilbert D, Grice DE, Hagstrøm J, Hedderly T, Heiman GA, Heyman I, Hoekstra PJ, Huyser C, Kim YK, Kim YS, King RA, Koh YJ, Kook S, Kuperman S, Leventhal BL, Madruga-Garrido M, Mir P, Morer A, Münchau A, Plessen KJ, Roessner V, Shin EY, Song DH, Song J, Tischfield JA, Willsey AJ, Zinner S, Aschauer H, Barr CL, Barta C, Batterson JR, Berlin C, Brown L, Budman CL, Cath DC, Coffey BJ, Coppola G, Cox NJ, Darrow S, Davis LK, Depienne C, Dietrich A, Dion Y, Fernandez T, Freimer NB, Gilbert D, Grados MA, Greenberg E, Hartmann A, Hebebrand J, Heiman G, Hirschtritt ME, Hoekstra P, Huang AY, Illmann C, Jankovic J, King RA, Kuperman S, Lee PC, Lyon GJ, Malaty IA, Mathews CA, McMahon WM, Müller-Vahl K, Nagy P, Neale BM, Nöthen MM, Okun MS, Osiecki L, Paschou P, Rizzo R, Robertson MM, Rouleau GA, Sandor P, Scharf JM, Schlögelhofer M, Singer HS, Stamenkovic M, Stuhrmann M, Sul JH, Tarnok Z, Tischfield J, Tsetsos F, Willsey AJ, Woods D, Worbe Y, Yu D, Zinner S. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 2021; 11:56. [PMID: 33462189 PMCID: PMC7814139 DOI: 10.1038/s41398-020-01082-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 09/18/2020] [Accepted: 10/21/2020] [Indexed: 12/23/2022] Open
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder of complex genetic architecture involving multiple interacting genes. Here, we sought to elucidate the pathways that underlie the neurobiology of the disorder through genome-wide analysis. We analyzed genome-wide genotypic data of 3581 individuals with TS and 7682 ancestry-matched controls and investigated associations of TS with sets of genes that are expressed in particular cell types and operate in specific neuronal and glial functions. We employed a self-contained, set-based association method (SBA) as well as a competitive gene set method (MAGMA) using individual-level genotype data to perform a comprehensive investigation of the biological background of TS. Our SBA analysis identified three significant gene sets after Bonferroni correction, implicating ligand-gated ion channel signaling, lymphocytic, and cell adhesion and transsynaptic signaling processes. MAGMA analysis further supported the involvement of the cell adhesion and trans-synaptic signaling gene set. The lymphocytic gene set was driven by variants in FLT3, raising an intriguing hypothesis for the involvement of a neuroinflammatory element in TS pathogenesis. The indications of involvement of ligand-gated ion channel signaling reinforce the role of GABA in TS, while the association of cell adhesion and trans-synaptic signaling gene set provides additional support for the role of adhesion molecules in neuropsychiatric disorders. This study reinforces previous findings but also provides new insights into the neurobiology of TS.
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Grants
- R01 NS102371 NINDS NIH HHS
- R01 NS096207 NINDS NIH HHS
- R01 NS096008 NINDS NIH HHS
- R01 NS105746 NINDS NIH HHS
- R01 MH115958 NIMH NIH HHS
- K08 MH099424 NIMH NIH HHS
- K02 NS085048 NINDS NIH HHS
- R01 MH115963 NIMH NIH HHS
- U01 HG009086 NHGRI NIH HHS
- R56 MH120736 NIMH NIH HHS
- U54 MD010722 NIMHD NIH HHS
- UL1 TR001863 NCATS NIH HHS
- R01 DC016977 NIDCD NIH HHS
- DP2 HD098859 NICHD NIH HHS
- R01 MH115961 NIMH NIH HHS
- U24 MH068457 NIMH NIH HHS
- R25 NS108939 NINDS NIH HHS
- R01 MH114927 NIMH NIH HHS
- R01 NR014852 NINR NIH HHS
- R21 HG010652 NHGRI NIH HHS
- R01 MH113362 NIMH NIH HHS
- RM1 HG009034 NHGRI NIH HHS
- FT is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning» in the context of the project “Reinforcement of Postdoctoral Researchers - 2nd Cycle” (MIS-5033021), implemented by the State Scholarships Foundation (IKY)
- KMV has received financial or material research support from the EU (FP7-HEALTH-2011 No. 278367, FP7-PEOPLE-2012-ITN No. 316978), the German Research Foundation (DFG: GZ MU 1527/3-1), the German Ministry of Education and Research (BMBF: 01KG1421), the National Institute of Mental Health (NIMH), the Tourette Gesellschaft Deutschland e.V., the Else-Kroner-Fresenius-Stiftung, and GW, Almirall, Abide Therapeutics, and Therapix Biosiences and has received consultant’s honoraria from Abide Therapeutics, Tilray, Resalo Vertrieb GmbH, and Wayland Group, speaker’s fees from Tilray and Cogitando GmbH, and royalties from Medizinisch Wissenschaftliche Verlagsgesellschaft Berlin, Elsevier, and Kohlhammer; and is a consultant for Nuvelution TS Pharma Inc., Zynerba Pharmaceuticals, Resalo Vertrieb GmbH, CannaXan GmbH, Therapix Biosiences, Syqe, Nomovo Pharma, and Columbia Care.
- MMN has received fees for memberships in Scientific Advisory Boards from the Lundbeck Foundation and the Robert-Bosch-Stiftung, and for membership in the Medical-Scientific Editorial Office of the Deutsches Ärzteblatt. MMN was reimbursed travel expenses for a conference participation by Shire Deutschland GmbH. MMN receives salary payments from Life & Brain GmbH and holds shares in Life & Brain GmbH. All this concerned activities outside the submitted work.
- IM has participated in research funded by the Parkinson Foundation, Tourette Association, Dystonia Coalition, AbbVie, Biogen, Boston Scientific, Eli Lilly, Impax, Neuroderm, Prilenia, Revance, Teva but has no owner interest in any pharmaceutical company. She has received travel compensation or honoraria from the Tourette Association of America, Parkinson Foundation, International Association of Parkinsonism and Related Disorders, Medscape, and Cleveland Clinic, and royalties for writing a book with Robert rose publishers.
- MSO serves as a consultant for the Parkinson’s Foundation, and has received research grants from NIH, Parkinson’s Foundation, the Michael J. Fox Foundation, the Parkinson Alliance, Smallwood Foundation, the Bachmann-Strauss Foundation, the Tourette Syndrome Association, and the UF Foundation. MSO’s DBS research is supported by: NIH R01 NR014852 and R01NS096008. MSO is PI of the NIH R25NS108939 Training Grant. MSO has received royalties for publications with Demos, Manson, Amazon, Smashwords, Books4Patients, Perseus, Robert Rose, Oxford and Cambridge (movement disorders books). MSO is an associate editor for New England Journal of Medicine Journal Watch Neurology. MSO has participated in CME and educational activities on movement disorders sponsored by the Academy for Healthcare Learning, PeerView, Prime, QuantiaMD, WebMD/Medscape, Medicus, MedNet, Einstein, MedNet, Henry Stewart, American Academy of Neurology, Movement Disorders Society and by Vanderbilt University. The institution and not MSO receives grants from Medtronic, Abbvie, Boston Scientific, Abbott and Allergan and the PI has no financial interest in these grants. MSO has participated as a site PI and/or co-I for several NIH, foundation, and industry sponsored trials over the years but has not received honoraria. Research projects at the University of Florida receive device and drug donations.
- DW receives royalties for books on Tourette Syndrome with Guilford Press, Oxford University Press, and Springer Press.
- BMN is a member of the scientific advisory board at Deep Genomics and consultant for Camp4 Therapeutics, Takeda Pharmaceutical and Biogen.
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Affiliation(s)
- Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Sabrina M Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Kirsten R Muller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | | | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Thomas V Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | | | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Douglas W Woods
- Marquette University and University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Paul C Lee
- Tripler Army Medical Center and University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Donald L Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | | | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Samuel H Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Michael Wagner
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | | | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Gary A Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | | | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabrina Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Roger Kurlan
- Atlantic Neuroscience Institute, Overlook Hospital, Summit, NJ, USA
| | - James F Leckman
- Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Jan H Smit
- Department of Psychiatry, VU UniversityMedical Center, Amsterdam, The Netherlands
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Harald Aschauer Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anastasios Konstantinidis
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Center for Mental Health Muldenstrasse, BBRZMed, Linz, Austria
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Tomasz Wolanczyk
- Department of Child Psychiatry, Medical University of Warsaw, 00-001, Warsaw, Poland
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Lawrence Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Keun-Ah Cheon
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Thomas V Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Blanca Garcia-Delgar
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic Universitari, Barcelona, Spain
| | - Donald Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | - Dorothy E Grice
- Department of Psychiatry, Friedman Brain Institute, Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julie Hagstrøm
- Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark and University of Copenhagen, Copenhagen, Denmark
| | - Tammy Hedderly
- Tic and Neurodevelopmental Movements Service (TANDeM), Evelina Children's Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
- Paediatric Neurosciences, Kings College London, London, UK
| | - Gary A Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Isobel Heyman
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Psychological and Mental Health Services, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Chaim Huyser
- De Bascule, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
| | | | - Young-Shin Kim
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yun-Joo Koh
- The Korea Institute for Children's Social Development, Rudolph Child Research Center, Seoul, South Korea
| | - Sodahm Kook
- Kangbuk Samsung Hospital, Seoul, South Korea
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Bennett L Leventhal
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Marcos Madruga-Garrido
- Sección de Neuropediatría, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Pablo Mir
- Hospital Universitario Virgen del Rocío, Sevilla, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Astrid Morer
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Alexander Münchau
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | - Kerstin J Plessen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Service of Child and Adolescent Psychiatry, Department of Psychiatry, University Medical Center, University of Lausanne, Lausanne, Switzerland
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav CarusTU Dresden, Dresden, Germany
| | - Eun-Young Shin
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Dong-Ho Song
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Jungeun Song
- National Health Insurance Service Ilsan Hospital, Goyang-Si, South Korea
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Samuel Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | | | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Lawrence Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabrina Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Thomas Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Donald Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Gary Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Pieter Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Paul C Lee
- Tripler Army Medical Center and University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Douglas Woods
- Marquette University and University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Samuel Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
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Ahisar Y, Thanassoulis G, Huang KN, Ohayon SM, Afilalo J. Intersecting Genetics of Frailty and Cardiovascular Disease. J Nutr Health Aging 2021; 25:1023-1027. [PMID: 34545923 DOI: 10.1007/s12603-021-1673-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To determine the genetic correlates of physical frailty and sarcopenia, focusing on single nucleotide polymorphisms (SNPs) in genome-wide association studies (GWAS), and to explore the genetic overlap of frailty with cardiovascular disease (CVD) and its risk factors. METHODS PubMed was systematically searched for GWAS studies investigating the association between SNPs and objective measures of physical frailty or sarcopenia. SNPs were retained if they were associated with one of the phenotypes of interest by a p-value of 5.0x10-8 or less. RESULTS Ten studies were included, with a total of 237 SNPs in 181 genes being associated with physical frailty or sarcopenia; as measured by handgrip strength or lean (muscle) mass. These genes were cross-referenced in the GWAS Catalog, and many of them were found to be associated with CVD or metabolic syndrome. CONCLUSIONS Evidence from GWAS has shown that frailty is associated with common genetic polymorphisms. Many of these polymorphisms have been implicated in CVD, supporting the hypothesis of a shared pathophysiology between these entities. Future studies are eagerly anticipated to map out the mechanistic links and discover therapeutic targets and novel biomarkers for frailty.
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Affiliation(s)
- Y Ahisar
- Jonathan Afilalo, MD, MSc, FACC, FRCPC, Associate Professor, McGill University, Director, Geriatric Cardiology Fellowship Program, Jewish General Hospital, 3755 Cote Ste Catherine Rd, E-222, Montreal, QC H3T 1E2, Phone: (514) 340-7540 | Fax: (514) 340-7534,
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50
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Marcos-Pasero H, Aguilar-Aguilar E, Ikonomopoulou MP, Loria-Kohen V. BDNF Gene as a Precision Skill of Obesity Management. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1331:233-248. [PMID: 34453302 DOI: 10.1007/978-3-030-74046-7_15] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The scarcity of the results obtained for the treatment of obesity leads us to consider new strategies, contemplating all the factors involved in the development of the disease. One of the key molecules for controlling body weight and energy homeostasis is the brain-derived neurotrophic factor (BDNF). This work summarizes the mechanisms in which BDNF gene regulates this multifactorial disease. In addition, we discuss the role of other BDNF polymorphisms as genetic determinants of obesity. In this context, a total of 14 SNPs near or inside BDNF/BDNF-AS related to BMI were identified in various GWASs. Finally, we assess gene-diet interaction as a novel tool to prevent obesity and formulate solid and personalized nutritional management. Our research group has performed the first study on the association of BDNF-AS rs925946 polymorphism and calcium intake as potential modulators of the nutritional status. Although these results should be confirmed in future studies, they open the path for new prevention opportunities.
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Affiliation(s)
- Helena Marcos-Pasero
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Elena Aguilar-Aguilar
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Maria P Ikonomopoulou
- Translational Venomics Group, IMDEA-Food, CEI UAM+CSIC, Madrid, Spain.,Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - Viviana Loria-Kohen
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain. .,Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain.
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