Physical Activity Attenuates the Genetic Predisposition to Obesity in 20,000 Men and Women from EPIC-Norfolk Prospective Population Study
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{"title"=>"Physical activity attenuates the genetic predisposition to obesity in 20,000 men and women from EPIC-Norfolk prospective population study", "type"=>"journal", "authors"=>[{"first_name"=>"Shengxu", "last_name"=>"Li", "scopus_author_id"=>"7409244756"}, {"first_name"=>"Jing Hua", "last_name"=>"Zhao", "scopus_author_id"=>"7410311266"}, {"first_name"=>"Jian'an", "last_name"=>"Luan", "scopus_author_id"=>"7005172964"}, {"first_name"=>"Ulf", "last_name"=>"Ekelund", "scopus_author_id"=>"7004141339"}, {"first_name"=>"Robert N.", "last_name"=>"Luben", "scopus_author_id"=>"7004585179"}, {"first_name"=>"Kay Tee", "last_name"=>"Khaw", "scopus_author_id"=>"56846644300"}, {"first_name"=>"Nicholas J.", "last_name"=>"Wareham", "scopus_author_id"=>"7006224498"}, {"first_name"=>"Ruth J.F.", "last_name"=>"Loos", "scopus_author_id"=>"7006771047"}], "year"=>2010, "source"=>"PLoS Medicine", "identifiers"=>{"sgr"=>"77956798214", "doi"=>"10.1371/journal.pmed.1000332", "pui"=>"359586870", "pmid"=>"20824172", "scopus"=>"2-s2.0-77956798214", "issn"=>"15491277", "isbn"=>"1549-1277"}, "id"=>"2333bb67-fc6c-3439-bfb1-3bc014b38f12", "abstract"=>"We have previously shown that multiple genetic loci identified by genome-wide association studies (GWAS) increase the susceptibility to obesity in a cumulative manner. It is, however, not known whether and to what extent this genetic susceptibility may be attenuated by a physically active lifestyle. We aimed to assess the influence of a physically active lifestyle on the genetic predisposition to obesity in a large population-based study.", "link"=>"http://www.mendeley.com/research/physical-activity-attenuates-genetic-predisposition-obesity-20000-men-women-epicnorfolk-prospective", "reader_count"=>189, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>9, "Librarian"=>2, "Researcher"=>37, "Student > Doctoral Student"=>15, "Student > Ph. D. Student"=>40, "Student > Postgraduate"=>13, "Student > Master"=>26, "Other"=>9, "Student > Bachelor"=>16, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>6, "Professor"=>10}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>9, "Librarian"=>2, "Researcher"=>37, "Student > Doctoral Student"=>15, "Student > Ph. D. Student"=>40, "Student > Postgraduate"=>13, "Student > Master"=>26, "Other"=>9, "Student > Bachelor"=>16, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>6, "Professor"=>10}, "reader_count_by_subject_area"=>{"Unspecified"=>11, "Agricultural and Biological Sciences"=>52, "Arts and Humanities"=>2, "Business, Management and Accounting"=>2, "Computer Science"=>5, "Economics, Econometrics and Finance"=>1, "Environmental Science"=>2, "Nursing and Health Professions"=>6, "Biochemistry, Genetics and Molecular Biology"=>10, "Mathematics"=>1, "Medicine and Dentistry"=>59, "Neuroscience"=>2, "Design"=>1, "Sports and Recreations"=>13, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Psychology"=>9, "Social Sciences"=>12}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>59}, "Social Sciences"=>{"Social Sciences"=>12}, "Sports and Recreations"=>{"Sports and Recreations"=>13}, "Psychology"=>{"Psychology"=>9}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>11}, "Environmental Science"=>{"Environmental Science"=>2}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Design"=>{"Design"=>1}, "Neuroscience"=>{"Neuroscience"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>52}, "Computer Science"=>{"Computer Science"=>5}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>6}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>10}}, "reader_count_by_country"=>{"Canada"=>1, "South Korea"=>1, "United States"=>3, "United Kingdom"=>6, "Italy"=>1, "Mexico"=>1, "France"=>1, "Australia"=>1, "Portugal"=>1, "Germany"=>1, "Spain"=>2, "Croatia"=>1}, "group_count"=>10}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/832208"], "description"=>"<p>The interaction between the genetic predisposition score and physical activity level was statistically significant for BMI (<i>p</i> = 0.016) and risk of obesity (<i>p</i> = 0.038).</p>a<p>Increase in BMI (kg/m<sup>2</sup>) for each additional BMI-increasing allele.</p>b<p>β, converted to body weight (g) for a person 1.70 tall for each additional BMI-increasing allele.</p>c<p>Increase in the odds of being obese (BMI≥30 kg/m<sup>2</sup>) versus being normal weight (18.5≤ BMI <25 kg/m<sup>2</sup>) for each additional BMI-increasing allele.</p>", "links"=>[], "tags"=>["predisposition", "bmi", "obesity", "stratified"], "article_id"=>502569, "categories"=>["Neuroscience", "Computational Biology", "Genetics", "Biotechnology"], "users"=>["Shengxu Li", "Jing Hua Zhao", "Jian'an Luan", "Ulf Ekelund", "Robert N. Luben", "Kay-Tee Khaw", "Nicholas J. Wareham", "Ruth J. F. Loos"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000332.t002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Associations_of_the_genetic_predisposition_score_with_BMI_and_risk_of_obesity_in_the_total_population_and_stratified_by_physical_activity_level_/502569", "title"=>"Associations of the genetic predisposition score with BMI and risk of obesity in the total population and stratified by physical activity level.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-08-31 00:42:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/831885"], "description"=>"<p>Error bars show 95% CIs.</p>", "links"=>[], "tags"=>["means", "bmi", "bmi-increasing", "susceptibility", "groups", "inactive"], "article_id"=>502242, "categories"=>["Neuroscience", "Computational Biology", "Genetics", "Biotechnology"], "users"=>["Shengxu Li", "Jing Hua Zhao", "Jian'an Luan", "Ulf Ekelund", "Robert N. Luben", "Kay-Tee Khaw", "Nicholas J. Wareham", "Ruth J. F. Loos"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000332.g002", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Difference_in_least_square_means_of_BMI_between_the_high_gt_11_BMI_increasing_alleles_and_the_low_8804_11_BMI_increasing_alleles_genetic_susceptibility_groups_in_the_combined_active_group_and_the_inactive_group_/502242", "title"=>"Difference in least square means of BMI between the high (>11 BMI-increasing alleles) and the low (≤11 BMI-increasing alleles) genetic susceptibility groups in the combined active group and the inactive group.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-08-31 00:37:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/831766"], "description"=>"<p>BMI with different genetic predisposition scores in inactive versus active individuals.</p>", "links"=>[], "tags"=>["predisposition", "scores", "inactive"], "article_id"=>502127, "categories"=>["Neuroscience", "Computational Biology", "Genetics", "Biotechnology"], "users"=>["Shengxu Li", "Jing Hua Zhao", "Jian'an Luan", "Ulf Ekelund", "Robert N. Luben", "Kay-Tee Khaw", "Nicholas J. Wareham", "Ruth J. F. Loos"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000332.g001", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_BMI_with_different_genetic_predisposition_scores_in_inactive_versus_active_individuals_/502127", "title"=>"BMI with different genetic predisposition scores in inactive versus active individuals.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-08-31 00:35:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/832156"], "description"=>"<p>Values represent mean ± standard deviation, unless otherwise indicated.</p>", "links"=>[], "tags"=>["samples", "baseline", "follow-up"], "article_id"=>502524, "categories"=>["Neuroscience", "Computational Biology", "Genetics", "Biotechnology"], "users"=>["Shengxu Li", "Jing Hua Zhao", "Jian'an Luan", "Ulf Ekelund", "Robert N. Luben", "Kay-Tee Khaw", "Nicholas J. Wareham", "Ruth J. F. Loos"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000332.t001", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_the_study_samples_at_baseline_and_follow_up_by_sex_/502524", "title"=>"Characteristics of the study samples at baseline and follow-up by sex.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-08-31 00:42:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/414696", "https://ndownloader.figshare.com/files/414745", "https://ndownloader.figshare.com/files/414792", "https://ndownloader.figshare.com/files/414825", "https://ndownloader.figshare.com/files/414844", "https://ndownloader.figshare.com/files/414878"], "description"=>"<div><h3>Background</h3><p>We have previously shown that multiple genetic loci identified by genome-wide association studies (GWAS) increase the susceptibility to obesity in a cumulative manner. It is, however, not known whether and to what extent this genetic susceptibility may be attenuated by a physically active lifestyle. We aimed to assess the influence of a physically active lifestyle on the genetic predisposition to obesity in a large population-based study.</p> <h3>Methods and Findings</h3><p>We genotyped 12 SNPs in obesity-susceptibility loci in a population-based sample of 20,430 individuals (aged 39–79 y) from the European Prospective Investigation of Cancer (EPIC)-Norfolk cohort with an average follow-up period of 3.6 y. A genetic predisposition score was calculated for each individual by adding the body mass index (BMI)-increasing alleles across the 12 SNPs. Physical activity was assessed using a self-administered questionnaire. Linear and logistic regression models were used to examine main effects of the genetic predisposition score and its interaction with physical activity on BMI/obesity risk and BMI change over time, assuming an additive effect for each additional BMI-increasing allele carried. Each additional BMI-increasing allele was associated with 0.154 (standard error [SE] 0.012) kg/m<sup>2</sup> (<em>p</em> = 6.73×10<sup>−37</sup>) increase in BMI (equivalent to 445 g in body weight for a person 1.70 m tall). This association was significantly (<em>p</em><sub>interaction</sub> = 0.005) more pronounced in inactive people (0.205 [SE 0.024] kg/m<sup>2</sup> [<em>p</em> = 3.62×10<sup>−18</sup>; 592 g in weight]) than in active people (0.131 [SE 0.014] kg/m<sup>2</sup> [<em>p</em> = 7.97×10<sup>−21</sup>; 379 g in weight]). Similarly, each additional BMI-increasing allele increased the risk of obesity 1.116-fold (95% confidence interval [CI] 1.093–1.139, <em>p</em> = 3.37×10<sup>−26</sup>) in the whole population, but significantly (<em>p</em><sub>interaction</sub> = 0.015) more in inactive individuals (odds ratio [OR] = 1.158 [95% CI 1.118–1.199; <em>p</em> = 1.93×10<sup>−16</sup>]) than in active individuals (OR = 1.095 (95% CI 1.068–1.123; <em>p</em> = 1.15×10<sup>−12</sup>]). Consistent with the cross-sectional observations, physical activity modified the association between the genetic predisposition score and change in BMI during follow-up (<em>p</em><sub>interaction</sub> = 0.028).</p> <h3>Conclusions</h3><p>Our study shows that living a physically active lifestyle is associated with a 40% reduction in the genetic predisposition to common obesity, as estimated by the number of risk alleles carried for any of the 12 recently GWAS-identified loci.</p> <h3></h3><p><em>Please see later in the article for the Editors' Summary</em></p> </div>", "links"=>[], "tags"=>["attenuates", "predisposition", "obesity", "men", "women", "epic-norfolk", "prospective"], "article_id"=>141879, "categories"=>["Neuroscience", "Biological Sciences", "Genetics", "Biotechnology"], "users"=>["Shengxu Li", "Jing Hua Zhao", "Jian'an Luan", "Ulf Ekelund", "Robert N. Luben", "Kay-Tee Khaw", "Nicholas J. Wareham", "Ruth J. F. Loos"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1000332.s001", "https://dx.doi.org/10.1371/journal.pmed.1000332.s002", "https://dx.doi.org/10.1371/journal.pmed.1000332.s003", "https://dx.doi.org/10.1371/journal.pmed.1000332.s004", "https://dx.doi.org/10.1371/journal.pmed.1000332.s005", "https://dx.doi.org/10.1371/journal.pmed.1000332.s006"], "stats"=>{"downloads"=>26, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Physical_Activity_Attenuates_the_Genetic_Predisposition_to_Obesity_in_20_000_Men_and_Women_from_EPIC_Norfolk_Prospective_Population_Study/141879", "title"=>"Physical Activity Attenuates the Genetic Predisposition to Obesity in 20,000 Men and Women from EPIC-Norfolk Prospective Population Study", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2010-08-31 00:31:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/832053"], "description"=>"<p>Error bars show standard error, and <i>p</i>-value at each physical activity level represents the significance of the association between the genetic predisposition score and annual change in BMI.</p>", "links"=>[], "tags"=>["predisposition", "bmi", "follow-up"], "article_id"=>502419, "categories"=>["Neuroscience", "Computational Biology", "Genetics", "Biotechnology"], "users"=>["Shengxu Li", "Jing Hua Zhao", "Jian'an Luan", "Ulf Ekelund", "Robert N. Luben", "Kay-Tee Khaw", "Nicholas J. Wareham", "Ruth J. F. Loos"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000332.g003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_the_genetic_predisposition_score_on_the_annual_change_in_BMI_during_follow_up_by_physical_activity_level_at_baseline_/502419", "title"=>"Effect of the genetic predisposition score on the annual change in BMI during follow-up by physical activity level at baseline.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-08-31 00:40:19"}

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Relative Metric

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