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On the Futility of Screening for Genes That Make You Fat
- 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 :
- 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
Subjects
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⟩