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On the Futility of Screening for Genes That Make You Fat

Authors :
Terho Lehtimäki
Emily Sonestedt
Göran Hallmans
Andy R Ness
Simin Liu
Tuija Tammelin
John J. Nolan
Massimo Mangino
Nicholas J. Timpson
George Dedoussis
Aline Meirhaeghe
Lu Qi
Pål R. Njølstad
Ruth J. F. Loos
Mustafa Atalay
Mao Fu
Natalia V. Rivera
Marju Orho-Melander
Thorkild I. A. Sørensen
Philippe Froguel
André G. Uitterlinden
Torben Hansen
Debbie A Lawlor
M. Carola Zillikens
Tapani Rönnemaa
Vilmundur Gudnason
Esther Zimmermann
Claes Ohlsson
Cornelia M. van Duijn
Paul M. Ridker
Marjo-Riitta Järvelin
Samia Mora
María Teresa Martínez Larrad
Alena Stančáková
Thomas Illig
Zoltán Kutalik
Sven Bergmann
Jonatan R. Ruiz
Luigi Palla
Kathleen A. Jablonski
Günther Silbernagel
Ulla Sovio
Soren Snitker
Karina Meidtner
Bo Isomaa
Stephen J. Sharp
Jana V. van Vliet-Ostaptchouk
Louis Pérusse
Mika Kähönen
Daniel I. Chasman
Najaf Amin
Johanna Kuusisto
Toshiko Tanaka
Ingrid B. Borecki
John-Olov Jansson
Christine Cavalcanti-Proença
N. Charlotte Onland-Moret
Kay-Tee Khaw
Camilla H. Sandholt
Ulf Ekelund
Luigi Ferrucci
Mark Walker
Yiqing Song
Jose C. Florez
Oluf Pedersen
Leif Groop
Ying Wu
Soren Brage
Tuomas O. Kilpeläinen
Anders Grøntved
Frida Renström
Meena Kumari
Stéphane Cauchi
Michael Boehnke
Tamara B. Harris
Christine S. Autenrieth
Jeffery Metter
Beverley Balkau
Dmitry Shungin
Karen L. Mohlke
Markku Laakso
Matti Uusitupa
Nicholas J. Wareham
Andreas Fritsche
Jaakko Tuomilehto
Albert Hofman
Shah Ebrahim
Mary F. Feitosa
Melissa E. Garcia
Stefan Johansson
Tim D. Spector
Paul W. Franks
E. Shyong Tai
Frank B. Hu
Jonathan T. Tan
Maarit Hakanen
Heiner Boeing
Manuel Serrano Ríos
Olli T. Raitakari
Michael Marmot
Meian He
Jennifer L. Bragg-Gresham
Claude Bouchard
Tariq Ahmad
Ellen W. Demerath
Keri L. Monda
Robert A. Scott
Marika Kaakinen
Chris Power
Stefania Bandinelli
Christina Holzapfel
Timo A. Lakka
Heather M. Stringham
Stavroula Kanoni
Elina Hyppönen
Pamela L. Lutsey
Internal Medicine
Medical Microbiology & Infectious Diseases
Epidemiology
Urology
Institute of Metabolic Science
MRC
Departments of Epidemiology and Nutrition
Harvard School of Public Health
Department of Clinical Sciences
Lund University Diabetes Centre-Lund University [Lund]
Division of Epidemiology and Community Health
University of Minnesota [Twin Cities] (UMN)
University of Minnesota System-University of Minnesota System
Division of Cardiology
Duke University Medical Center
Brigham and Women's Hospital [Boston]
Institute of Health Sciences and Biocenter Oulu
University of Oulu
Hagedorn Research Institute
Else Kroener Fresenius Centre - Zentralinstitut für Ernährungs und Lebensmittelfors (ZIEL)
Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)
Department of Population Health Sciences
University of Wisconsin-Madison
Institute of Epidemiology [Neuherberg] (EPI)
German Research Center for Environmental Health - Helmholtz Center München (GmbH)
Centre for Paediatric Epidemiology and Biostatistics
University College of London [London] (UCL)
MRC Centre for Epidemiology of Child Health
UCL Institute of Child Health
Institut de biologie de Lille - UMS 3702 (IBL)
Université de Lille-Institut Pasteur de Lille
Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Centre National de la Recherche Scientifique (CNRS)
Department of Medical Genetics
Université de Lausanne (UNIL)
Department of Epidemiology and Public Health
Department of Medicine
University of Eastern Finland-Kuopio University Hospital
Department of Epidemiology
Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE)
Leibniz Association-Leibniz Association
Centre de recherche en épidémiologie et santé des populations (CESP)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
National University of Singapore (NUS)-Yong Loo Lin School of Medicine
King‘s College London
Centre for Causal Analyses in Translational Epidemiology
University of Bristol [Bristol]-Medical Research Council
Division of Preventive Medicine
Netherlands Genomics Initiative
Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA)
Department of Internal Medicine
Erasmus University Medical Center [Rotterdam] (Erasmus MC)
The Biostatistics Center
The George Washington University (GW)
National Institute on Aging [Bethesda, USA] (NIA)
National Institutes of Health [Bethesda] (NIH)
Mental Health Sciences Unit
Department of Clinical Medicine
University of Bergen (UiB)
Department of Biostatistics and Center for Statistical Genetics
University of Michigan [Ann Arbor]
University of Michigan System-University of Michigan System
Department of Genetics
University of North Carolina [Chapel Hill] (UNC)
University of North Carolina System (UNC)-University of North Carolina System (UNC)
Molecular Genetics Section
University of Groningen [Groningen]-University Medical Centre Groningen
Complex Genetics Section
University Medical Center [Utrecht]
Julius Center for Health Sciences and Primary Care
Institute of Preventive Medicine
Copenhagen University Hospital
Department of Biomedical Sciences [Copenhagen]
Faculty of Health and Medical Sciences
University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)
Genetic Epidemiology Unit
Medstar Research Institute
Division of Endocrinology, Diabetology, Nephrology, Vascular Disease, and Clinical Chemistry
Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen
Department of Nutrition-Dietetics
Harokopio University of Athens
Division of Statistical Genomics
Washington University School of Medicine
University of Maryland School of Medicine
University of Maryland System
Unit for Preventive Nutrition
Karolinska Institutet [Stockholm]
Department of Physical Education and Sport
University of Granada [Granada]
Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas
Hospital Clínico San Carlos
Department of Physiology
University of Eastern Finland-Institute of Biomedicine
The Research Centre of Applied and Preventive Cardiovascular Medicine
University of Turku
Institute of Sport Science and Clinical Biomechanics
University of Southern Denmark (SDU)
Department of Public Health and Clinical Medicine/Nutritional Research
Umeå University
Department of Physiology/Endocrinology
Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU)-Sahlgrenska Academy at University of Gothenburg [Göteborg]
Department of Clinical Physiology
University of Tampere [Finland]-Tampere University Hospital
Steno Diabetes Centre
Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR)
Faculty of Health Sciences
Genetic Epidemiology and Clinical Research Group
Umea University Hospital
Department of Odontology
Department of Medical Statistics
London School of Hygiene and Tropical Medicine (LSHTM)
LIKES Research Center for Sport and Health Sciences
Finnish Institute of Occupational Health
Institute of Public Health and Clinical Nutrition
University of Eastern Finland
Human Genomics Laboratory
Pennington Biomedical Research Center
Louisiana State University (LSU)-Louisiana State University (LSU)
Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations
Institut Pasteur de Lille
Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé
Division of Endocrinology, Diabetes and Nutrition
University of Maryland System-University of Maryland System
Institute of Cell and Molecular Biosciences
Newcastle University [Newcastle]
Centre for Bone and Arthritis Research
Institute of Medicine-University of Gothenburg (GU)
Geriatric Rehabilitation Unit
Azienda Sanitaria Firenze
Centre for Medical Systems Biology
Faculty of Epidemiology and Population Health [London]
Icelandic Heart Association
Heart Preventive Clinic and Research Institute
University of Iceland [Reykjavik]
Department of Public Health
South Ostrobothnia Central Hospital
Department of Clinical and Preventive Medicine
Danube-University Krems
Department of Clinical Chemistry
Turku University Hospital (TYKS)
Folkhälsan Research Centre
Department of Pediatrics
Haukeland University Hospital
University of Bergen (UiB)-University of Bergen (UiB)
Center for Human Genetic Research and Diabetes Research Center
Massachusetts General Hospital [Boston]
Harvard Medical School [Boston] (HMS)
Program for Medical and Population Genetics
Broad Institute [Cambridge]
Harvard University [Cambridge]-Massachusetts Institute of Technology (MIT)-Harvard University [Cambridge]-Massachusetts Institute of Technology (MIT)
Center for Metabolic Disease Prevention
University of California [Los Angeles] (UCLA)
University of California-University of California-David Geffen School of Medicine [Los Angeles]
University of California-University of California
School of Oral and Dental Sciences
University of Bristol [Bristol]
National University of Singapore (NUS)
Department of Genomics of Common Disease
Imperial College London
Department of Public Health and Primary Care
University of Cambridge [UK] (CAM)
Department of Epidemiology and Biostatistics
Department of Life Course and Services
National Institute for Health and Welfare [Helsinki]
Autard, Delphine
Lund University [Lund]
Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Université de Lausanne = University of Lausanne (UNIL)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)
University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)
Universidad de Granada = University of Granada (UGR)
University of Gothenburg (GU)-Institute of Medicine
University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles]
University of California (UC)-University of California (UC)
Medical Research Council (MRC)
Center for Liver, Digestive and Metabolic Diseases (CLDM)
Brage, Soren [0000-0002-1265-7355]
Sharp, Stephen [0000-0003-2375-1440]
Sovio, Ulla [0000-0002-0799-1105]
Khaw, Kay-Tee [0000-0002-8802-2903]
Wareham, Nicholas [0000-0003-1422-2993]
Apollo - University of Cambridge Repository
Hjelt Institute (-2014)
Harvard University-Massachusetts Institute of Technology (MIT)-Harvard University-Massachusetts Institute of Technology (MIT)
Kilpeläinen, Tuomas O
Qi, Lu
Brage, Soren
Sharp, Stephen J
Hypponen, Elina
Loos, Ruth JF
Source :
PLoS Medicine, PLoS Medicine (print), 8(11). Public Library of Science, PLoS Medicine, Public Library of Science, 2011, 8 (11), pp.e1001116. ⟨10.1371/journal.pmed.1001116⟩, PLoS Medicine, 2011, 8 (11), pp.e1001116. ⟨10.1371/journal.pmed.1001116⟩, PLoS Medicine; 8(11) (2011), Kilpeläinen, T O, Lu, Q, Brage, S, Sharp, S J, Sonestedt, E, Demerath, E, Ahmad, T, Mora, S, Kaakinen, M, Sandholt, C H, Holzapfel, C, Autenrieth, C S, Hyppönen, E, Cauchi, S, He, M, Kutalik, Z, Kumari, M, Stančáková, A, Meidtner, K, Balkau, B, Tan, J T, Mangino, M, Timpson, N J, Song, Y, Zillikens, M C, Jablonski, K A, Garcia, M E, Johansson, S, Bragg-Gresham, J L, Wu, Y, van Vliet-Ostaptchouk, J V, Onland-Moret, N C, Zimmermann, E, Rivera, N V, Tanaka, T, Stringham, H M, Silbernagel, G, Kanoni, S, Feitosa, M F, Snitker, S, Ruiz, J R, Metter, J, Larrad, M T M, Atalay, M, Hakanen, M, Amin, N, Cavalcanti-Proença, C, Grøntved, A, Hallmans, G, Jansson, J-O, Kuusisto, J, Kähönen, M, Lutsey, P L, Nolan, J J, Palla, L, Pedersen, O, Pérusse, L, Renström, F, Scott, R A, Shungin, D, Sovio, U, Tammelin, T H, Rönnemaa, T, Lakka, T A, Uusitupa, M, Rios, M S, Ferrucci, L, Bouchard, C, Meirhaeghe, A, Fu, M, Walker, M, Borecki, I B, Dedoussis, G V, Fritsche, A, Ohlsson, C, Boehnke, M, Bandinelli, S, van Duijn, C M, Ebrahim, S, Lawlor, D A, Gudnason, V, Harris, T B, Sørensen, T I A, Mohlke, K L, Hofman, A, Uitterlinden, A G, Tuomilehto, J, Lehtimäki, T, Raitakari, O, Isomaa, B, Njølstad, P R, Florez, J C, Liu, S, Ness, A, Spector, T D, Tai, E S, Froguel, P, Boeing, H, Laakso, M, Marmot, M, Bergmann, S, Power, C, Khaw, K-T, Chasman, D, Ridker, P, Hansen, T, Monda, K L, Illig, T, Järvelin, M-R, Wareham, N J, Hu, F B, Groop, L C, Orho-Melander, M, Ekelund, U, Franks, P W & Loos, R J F 2011, ' Physical activity attenuates the influence of FTO variants on obesity risk: a meta-analysis of 218,166 adults and 19,268 children ', P L o S Medicine, vol. 8, no. 11, pp. e1001116 . https://doi.org/10.1371/journal.pmed.1001116, PLoS Medicine; Vol 8, PLoS Med. 8:e1001116 (2011), PLOS MEDICINE, 8(11):1001116. PUBLIC LIBRARY SCIENCE, PLoS Medicine, vol. 8, no. 11, pp. e1001116, PLoS Medicine, Vol 8, Iss 11, p e1001116 (2011)
Publication Year :
2011
Publisher :
Public Library of Science, 2011.

Abstract

Ruth Loos and colleagues report findings from a meta-analysis of multiple studies examining the extent to which physical activity attenuates effects of a specific gene variant, FTO, on obesity in adults and children. They report a fairly substantial attenuation by physical activity on the effects of this genetic variant on the risk of obesity in adults.<br />Background The FTO gene harbors the strongest known susceptibility locus for obesity. While many individual studies have suggested that physical activity (PA) may attenuate the effect of FTO on obesity risk, other studies have not been able to confirm this interaction. To confirm or refute unambiguously whether PA attenuates the association of FTO with obesity risk, we meta-analyzed data from 45 studies of adults (n = 218,166) and nine studies of children and adolescents (n = 19,268). Methods and Findings All studies identified to have data on the FTO rs9939609 variant (or any proxy [r 2>0.8]) and PA were invited to participate, regardless of ethnicity or age of the participants. PA was standardized by categorizing it into a dichotomous variable (physically inactive versus active) in each study. Overall, 25% of adults and 13% of children were categorized as inactive. Interaction analyses were performed within each study by including the FTO×PA interaction term in an additive model, adjusting for age and sex. Subsequently, random effects meta-analysis was used to pool the interaction terms. In adults, the minor (A−) allele of rs9939609 increased the odds of obesity by 1.23-fold/allele (95% CI 1.20–1.26), but PA attenuated this effect (p interaction = 0.001). More specifically, the minor allele of rs9939609 increased the odds of obesity less in the physically active group (odds ratio = 1.22/allele, 95% CI 1.19–1.25) than in the inactive group (odds ratio = 1.30/allele, 95% CI 1.24–1.36). No such interaction was found in children and adolescents. Conclusions The association of the FTO risk allele with the odds of obesity is attenuated by 27% in physically active adults, highlighting the importance of PA in particular in those genetically predisposed to obesity. Please see later in the article for the Editors' Summary<br />Editors’ Summary Background Two in three Americans are overweight, of whom half are obese, and the trend towards increasing obesity is now seen across developed and developing countries. There has long been interest in understanding the impact of genes and environment when it comes to apportioning responsibility for obesity. Carrying a change in the FTO gene is common (found in three-quarters of Europeans and North Americans) and is associated with a 20%–30% increased risk of obesity. Some overweight or obese individuals may feel that the dice are loaded and there is little point in fighting the fat; it has been reported that those made aware of their genetic susceptibility to obesity may still choose a poor diet. A similar fatalism may occur when overweight and obese people consider physical activity. But disentangling the influence of physical activity on those genetically susceptible to obesity from other factors that might impact weight is not straightforward, as it requires large sample sizes, could be subject to publication bias, and may rely on less than ideal self-reporting methods. Why Was This Study Done? The public health ramifications of understanding the interaction between genetic susceptibility to obesity and physical activity are considerable. Tackling the rising prevalence of obesity will inevitably include interventions principally aimed at changing dietary intake and/or increasing physical activity, but the evidence for these with regards to those genetically susceptible has been lacking to date. The authors of this paper set out to explore the interaction between the commonest genetic susceptibility trait and physical activity using a rigorous meta-analysis of a large number of studies. What Did the Researchers Do and Find? The authors were concerned that a meta-analysis of published studies would be limited both by the data available to them and by possible bias. Instead of this more widely used approach, they took the literature search as their starting point, identified other studies through their collaborators’ network, and then undertook a meta-analysis of all available studies using a new and standardized analysis plan. This entailed an extremely large number of authors mining their data afresh to extract the relevant data points to enable such a meta-analysis. Physical activity was identified in the original studies in many different ways, including by self-report or by using an external measure of activity or heart rate. In order to perform the meta-analysis, participants were labeled as physically active or inactive in each study. For studies that had used a continuous scale, the authors decided that the bottom 20% of the participants were inactive (10% for children and adolescents). Using data from over 218,000 adults, the authors found that carrying a copy of the susceptibility gene increased the odds of obesity by 1.23-fold. But the size of this influence was 27% less in the genetically susceptible adults who were physically active (1.22-fold) compared to those who were physically inactive (1.30-fold). In a smaller study of about 19,000 children, no such effect of physical activity was seen. What Do these Findings Mean? This study demonstrates that people who carry the susceptibility gene for obesity can benefit from physical activity. This should inform health care professionals and the wider public that the view of genetically determined obesity not being amenable to exercise is incorrect and should be challenged. Dissemination, implementation, and ensuring uptake of effective physical activity programs remains a challenge and deserves further consideration. That the researchers treated “physically active” as a yes/no category, and how they categorized individuals, could be criticized, but this was done for pragmatic reasons, as a variety of means of assessing physical activity were used across the studies. It is unlikely that the findings would have changed if the authors had used a different method of defining physically active. Most of the studies included in the meta-analysis looked at one time point only; information about the influence of physical activity on weight changes over time in genetically susceptible individuals is only beginning to emerge. Additional Information Please access these websites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001116. This study is further discussed in a PLoS Medicine Perspective by Lennert Veerman The US Centers for Disease Control and Prevention provides obesity-related statistics, details of prevention programs, and an overview on public health strategy in the United States A more worldwide view is given by the World Health Organization The UK National Health Service website gives information on physical activity guidelines for different age groups, while similar information can also be found from US sources

Subjects

Subjects :
Male
Heredity
endocrine system diseases
Medical disciplines: 700::Basic medical, dental and veterinary science disciplines: 710::Medical genetics: 714 [VDP]
Epidemiology
Social and Behavioral Sciences
no keywords
MESH: Genotype
0302 clinical medicine
MESH: Child
GENETIC-VARIANTS
MESH: Proteins
10. No inequality
Child
0303 health sciences
Anthropometry
MESH: Polymorphism, Single Nucleotide
General Medicine
11 Medical And Health Sciences
Genomics
MESH: Motor Activity
Adipose Tissue
Perspective
Medicine
Public Health
WAIST CIRCUMFERENCE
MESH: Adipose Tissue
medicine.medical_specialty
Genotype
Alpha-Ketoglutarate-Dependent Dioxygenase FTO
Endocrinology and Diabetes
03 medical and health sciences
SDG 3 - Good Health and Well-being
Genomic Medicine
Genetics
Humans
Genetic Testing
Gene Prediction
Biology
Adipose Tissue/metabolism
Adolescent
Adult
Aged
Female
Genetic Predisposition to Disease
Motor Activity
Obesity/genetics
Obesity/metabolism
Polymorphism, Single Nucleotide
Proteins/genetics
Risk Factors
MESH: Adolescent
Science & Technology
MESH: Humans
Computational Biology
nutritional and metabolic diseases
Proteins
MESH: Adult
Odds ratio
medicine.disease
Obesity
RS9939609 POLYMORPHISM
Endocrinology
Anthropology
Physiological Processes
Body mass index
MESH: Female
Population Genetics
obesity
Genetic Screens
Anatomy and Physiology
FTO gene
IDENTICAL-TWINS
MESH: Risk Factors
MESH: Obesity
adolescents
030212 general & internal medicine
MESH: Aged
MESH: Genetic Predisposition to Disease
3142 Public health care science, environmental and occupational health
ENVIRONMENT INTERACTION
Genetic Epidemiology
childhood obesity
Life Sciences & Biomedicine
Research Article
Clinical Research Design
UNITED-STATES
WEIGHT-LOSS
Childhood obesity
body weight
Medicine, General & Internal
Genome Analysis Tools
Internal medicine
General & Internal Medicine
medicine
Allele
Sports and Exercise Medicine
Genetic Association Studies
030304 developmental biology
Nutrition
Clinical Genetics
Population Biology
business.industry
Human Genetics
MESH: Male
COMMON VARIANT
meta-analysis
Minor allele frequency
BODY-MASS INDEX
[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie
Genetics of Disease
Genetic Polymorphism
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Meta-Analyses
business
Energy Metabolism
genetic predisposition
DIABETES PREVENTION

Details

Language :
English
ISSN :
15491676 and 15491277
Volume :
8
Issue :
11
Database :
OpenAIRE
Journal :
PLoS Medicine
Accession number :
edsair.doi.dedup.....1a04bb5fbb595e091573588c3c43cb07
Full Text :
https://doi.org/10.1371/journal.pmed.1001116⟩