Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study
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{"title"=>"Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study", "type"=>"journal", "authors"=>[{"first_name"=>"Claudia", "last_name"=>"Langenberg", "scopus_author_id"=>"9938997700"}, {"first_name"=>"Stephen J.", "last_name"=>"Sharp", "scopus_author_id"=>"24367076500"}, {"first_name"=>"Paul W.", "last_name"=>"Franks", "scopus_author_id"=>"7101842109"}, {"first_name"=>"Robert A.", "last_name"=>"Scott", "scopus_author_id"=>"56489197300"}, {"first_name"=>"Panos", "last_name"=>"Deloukas", "scopus_author_id"=>"7003287098"}, {"first_name"=>"Nita G.", "last_name"=>"Forouhi", "scopus_author_id"=>"6603478414"}, {"first_name"=>"Philippe", "last_name"=>"Froguel", "scopus_author_id"=>"7102250232"}, {"first_name"=>"Leif C.", "last_name"=>"Groop", "scopus_author_id"=>"21634758500"}, {"first_name"=>"Torben", "last_name"=>"Hansen", "scopus_author_id"=>"7401667966"}, {"first_name"=>"Luigi", "last_name"=>"Palla", "scopus_author_id"=>"57190160778"}, {"first_name"=>"Oluf", "last_name"=>"Pedersen", "scopus_author_id"=>"35373396900"}, {"first_name"=>"Matthias B.", "last_name"=>"Schulze", "scopus_author_id"=>"7103093978"}, {"first_name"=>"Maria Jose", "last_name"=>"Tormo", "scopus_author_id"=>"7006326880"}, {"first_name"=>"Eleanor", "last_name"=>"Wheeler", "scopus_author_id"=>"23487348300"}, {"first_name"=>"Claudia", "last_name"=>"Agnoli", "scopus_author_id"=>"25959868900"}, {"first_name"=>"Larraitz", "last_name"=>"Arriola", "scopus_author_id"=>"55881993900"}, {"first_name"=>"Aurelio", "last_name"=>"Barricarte", "scopus_author_id"=>"6604043458"}, {"first_name"=>"Heiner", "last_name"=>"Boeing", "scopus_author_id"=>"7004900619"}, {"first_name"=>"Geraldine M.", "last_name"=>"Clarke", "scopus_author_id"=>"35314251300"}, {"first_name"=>"Françoise", "last_name"=>"Clavel-Chapelon", "scopus_author_id"=>"55882148000"}, {"first_name"=>"Eric J.", "last_name"=>"Duell", "scopus_author_id"=>"7004300753"}, {"first_name"=>"Guy", "last_name"=>"Fagherazzi", "scopus_author_id"=>"35069333800"}, {"first_name"=>"Rudolf", "last_name"=>"Kaaks", "scopus_author_id"=>"36064172000"}, {"first_name"=>"Nicola D.", "last_name"=>"Kerrison", "scopus_author_id"=>"57191367532"}, {"first_name"=>"Timothy J.", "last_name"=>"Key", "scopus_author_id"=>"7102740999"}, {"first_name"=>"Kay Tee", "last_name"=>"Khaw", "scopus_author_id"=>"37077434500"}, {"first_name"=>"Janine", "last_name"=>"Kröger", "scopus_author_id"=>"25822529500"}, {"first_name"=>"Martin", "last_name"=>"Lajous", "scopus_author_id"=>"12777297800"}, {"first_name"=>"Andrew P.", "last_name"=>"Morris", "scopus_author_id"=>"7403404824"}, {"first_name"=>"Carmen", "last_name"=>"Navarro", "scopus_author_id"=>"55697355400"}, {"first_name"=>"Peter M.", "last_name"=>"Nilsson", "scopus_author_id"=>"7202850334"}, {"first_name"=>"Kim", "last_name"=>"Overvad", "scopus_author_id"=>"7007164627"}, {"first_name"=>"Domenico", "last_name"=>"Palli", "scopus_author_id"=>"56448226000"}, {"first_name"=>"Salvatore", "last_name"=>"Panico", "scopus_author_id"=>"7005295199"}, {"first_name"=>"J. Ramón", "last_name"=>"Quirós", "scopus_author_id"=>"7003668026"}, {"first_name"=>"Olov", "last_name"=>"Rolandsson", "scopus_author_id"=>"57192925546"}, {"first_name"=>"Carlotta", "last_name"=>"Sacerdote", "scopus_author_id"=>"6603577418"}, {"first_name"=>"María José", "last_name"=>"Sánchez", "scopus_author_id"=>"56662338900"}, {"first_name"=>"Nadia", "last_name"=>"Slimani", "scopus_author_id"=>"7003638645"}, {"first_name"=>"Annemieke M.W.", "last_name"=>"Spijkerman", "scopus_author_id"=>"56172920800"}, {"first_name"=>"Rosario", "last_name"=>"Tumino", "scopus_author_id"=>"7006077607"}, {"first_name"=>"Daphne L.", "last_name"=>"van der A", "scopus_author_id"=>"6507554942"}, {"first_name"=>"Yvonne T.", "last_name"=>"van der Schouw", "scopus_author_id"=>"7006003970"}, {"first_name"=>"Inês", "last_name"=>"Barroso", "scopus_author_id"=>"55400421600"}, {"first_name"=>"Mark I.", "last_name"=>"McCarthy", "scopus_author_id"=>"7402061249"}, {"first_name"=>"Elio", "last_name"=>"Riboli", "scopus_author_id"=>"57191801446"}, {"first_name"=>"Nicholas J.", "last_name"=>"Wareham", "scopus_author_id"=>"7006224498"}], "year"=>2014, "source"=>"PLoS Medicine", "identifiers"=>{"issn"=>"15491676", "scopus"=>"2-s2.0-84901387060", "pui"=>"373181645", "doi"=>"10.1371/journal.pmed.1001647", "isbn"=>"10.1371/journal.pmed.1001647", "sgr"=>"84901387060", "pmid"=>"24845081"}, "id"=>"fb3ecc9d-59ba-3cb3-8fe8-efda94575353", "abstract"=>"BACKGROUND Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and lifestyle factors on risk of T2D in order to inform strategies for prevention. METHODS AND FINDINGS The InterAct study includes 12,403 incident T2D cases and a representative sub-cohort of 16,154 individuals from a cohort of 340,234 European participants with 3.99 million person-years of follow-up. We studied the combined effects of an additive genetic T2D risk score and modifiable and non-modifiable risk factors using Prentice-weighted Cox regression and random effects meta-analysis methods. The effect of the genetic score was significantly greater in younger individuals (p for interaction  = 1.20×10-4). Relative genetic risk (per standard deviation [4.4 risk alleles]) was also larger in participants who were leaner, both in terms of body mass index (p for interaction  = 1.50×10-3) and waist circumference (p for interaction  = 7.49×10-9). Examination of absolute risks by strata showed the importance of obesity for T2D risk. The 10-y cumulative incidence of T2D rose from 0.25% to 0.89% across extreme quartiles of the genetic score in normal weight individuals, compared to 4.22% to 7.99% in obese individuals. We detected no significant interactions between the genetic score and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score. CONCLUSIONS The relative effect of a T2D genetic risk score is greater in younger and leaner participants. However, this sub-group is at low absolute risk and would not be a logical target for preventive interventions. The high absolute risk associated with obesity at any level of genetic risk highlights the importance of universal rather than targeted approaches to lifestyle intervention.", "link"=>"http://www.mendeley.com/research/genelifestyle-interaction-type-2-diabetes-epic-interact-casecohort-study-1", "reader_count"=>147, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>6, "Librarian"=>2, "Researcher"=>33, "Student > Doctoral Student"=>7, "Student > Ph. D. Student"=>26, "Student > Postgraduate"=>6, "Student > Master"=>35, "Other"=>5, "Student > Bachelor"=>16, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>2, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>6, "Librarian"=>2, "Researcher"=>33, "Student > Doctoral Student"=>7, "Student > Ph. D. Student"=>26, "Student > Postgraduate"=>6, "Student > Master"=>35, "Other"=>5, "Student > Bachelor"=>16, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>2, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Agricultural and Biological Sciences"=>34, "Arts and Humanities"=>1, "Computer Science"=>4, "Economics, Econometrics and Finance"=>2, "Engineering"=>1, "Nursing and Health Professions"=>8, "Biochemistry, Genetics and Molecular Biology"=>13, "Materials Science"=>1, "Medicine and Dentistry"=>65, "Sports and Recreations"=>3, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Psychology"=>1, "Social Sciences"=>6, "Chemistry"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>65}, "Social Sciences"=>{"Social Sciences"=>6}, "Sports and Recreations"=>{"Sports and Recreations"=>3}, "Psychology"=>{"Psychology"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Engineering"=>{"Engineering"=>1}, "Chemistry"=>{"Chemistry"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>34}, "Computer Science"=>{"Computer Science"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>8}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>13}}, "reader_count_by_country"=>{"United States"=>3, "Finland"=>1, "United Kingdom"=>2, "Mexico"=>1, "France"=>2, "Spain"=>2}, "group_count"=>9}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1504917"], "description"=>"<p>Family history of diabetes was not ascertained in Italy, Spain, Heidelberg (Germany), and Oxford (UK) (excluded from these summaries): 7,226/5,719. WC and waist–hip ratio were not measured in Umeå (Sweden) (excluded from these summaries): 1,050/1,007. Weight at age 20 y was not ascertained in France, Spain, Florence (Italy), Ragusa (Italy), Turin (Italy), Netherlands, Heidelberg (Germany), and Umeå (Sweden) (excluded from these summaries): 9,462/7,692. Data from Denmark (<i>n = </i>2,164) are excluded from this table.</p>", "links"=>[], "tags"=>["genetics", "genomics", "Genomic medicine", "genetic testing", "Clinical genetics", "Personalized medicine", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Clinical epidemiology", "Genetic epidemiology", "Molecular epidemiology", "Metabolic disorders", "Diabetes mellitus", "type 2 diabetes", "sub-cohort"], "article_id"=>1032411, "categories"=>["Biological Sciences"], "users"=>["Claudia Langenberg", "Stephen J. Sharp", "Paul W. Franks", "Robert A. Scott", "Panos Deloukas", "Nita G. Forouhi", "Philippe Froguel", "Leif C. Groop", "Torben Hansen", "Luigi Palla", "Oluf Pedersen", "Matthias B. Schulze", "Maria-Jose Tormo", "Eleanor Wheeler", "Claudia Agnoli", "Larraitz Arriola", "Aurelio Barricarte", "Heiner Boeing", "Geraldine M. Clarke", "Françoise Clavel-Chapelon", "Eric J. Duell", "Guy Fagherazzi", "Rudolf Kaaks", "Nicola D. Kerrison", "Timothy J. Key", "Kay Tee Khaw", "Janine Kröger", "Martin Lajous", "Andrew P. Morris", "Carmen Navarro", "Peter M. Nilsson", "Kim Overvad", "Domenico Palli", "Salvatore Panico", "J. Ramón Quirós", "Olov Rolandsson", "Carlotta Sacerdote", "María-José Sánchez", "Nadia Slimani", "Annemieke M. W. Spijkerman", "Rosario Tumino", "Daphne L. van der A", "Yvonne T. van der Schouw", "Inês Barroso", "Mark I. McCarthy", "Elio Riboli", "Nicholas J. Wareham"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001647.t001", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Baseline_characteristics_of_the_random_sub_cohort_participants_in_the_InterAct_study_/1032411", "title"=>"Baseline characteristics of the random sub-cohort participants in the InterAct study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-05-20 03:36:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/1504916"], "description"=>"<p>Analyses are based on 18,890 participants with data available for the genetic score—8,245 incident cases and 11,133 sub-cohort members (includes 488 incident cases). All models are adjusted for sex and centre, and with age as the underlying time scale. For comparability, HRs for the four genetic scores are presented per SD, where the SD is estimated in the sub-cohort.</p>", "links"=>[], "tags"=>["genetics", "genomics", "Genomic medicine", "genetic testing", "Clinical genetics", "Personalized medicine", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Clinical epidemiology", "Genetic epidemiology", "Molecular epidemiology", "Metabolic disorders", "Diabetes mellitus", "type 2 diabetes", "ratios", "allele", "49", "snps", "deviation", "additive", "adjusted"], "article_id"=>1032410, "categories"=>["Biological Sciences"], "users"=>["Claudia Langenberg", "Stephen J. Sharp", "Paul W. Franks", "Robert A. Scott", "Panos Deloukas", "Nita G. Forouhi", "Philippe Froguel", "Leif C. Groop", "Torben Hansen", "Luigi Palla", "Oluf Pedersen", "Matthias B. Schulze", "Maria-Jose Tormo", "Eleanor Wheeler", "Claudia Agnoli", "Larraitz Arriola", "Aurelio Barricarte", "Heiner Boeing", "Geraldine M. Clarke", "Françoise Clavel-Chapelon", "Eric J. Duell", "Guy Fagherazzi", "Rudolf Kaaks", "Nicola D. Kerrison", "Timothy J. Key", "Kay Tee Khaw", "Janine Kröger", "Martin Lajous", "Andrew P. Morris", "Carmen Navarro", "Peter M. Nilsson", "Kim Overvad", "Domenico Palli", "Salvatore Panico", "J. Ramón Quirós", "Olov Rolandsson", "Carlotta Sacerdote", "María-José Sánchez", "Nadia Slimani", "Annemieke M. W. Spijkerman", "Rosario Tumino", "Daphne L. van der A", "Yvonne T. van der Schouw", "Inês Barroso", "Mark I. McCarthy", "Elio Riboli", "Nicholas J. Wareham"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001647.t002", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_ratios_for_type_2_diabetes_per_risk_allele_for_each_of_49_SNPs_and_per_standard_deviation_for_additive_genetic_scores_adjusted_for_sex_and_centre_the_InterAct_study_/1032410", "title"=>"Hazard ratios for type 2 diabetes per risk allele for each of 49 SNPs and per standard deviation for additive genetic scores, adjusted for sex and centre: the InterAct study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-05-20 03:36:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/1504918", "https://ndownloader.figshare.com/files/1504919", "https://ndownloader.figshare.com/files/1504920", "https://ndownloader.figshare.com/files/1504921", "https://ndownloader.figshare.com/files/1504922", "https://ndownloader.figshare.com/files/1504923", "https://ndownloader.figshare.com/files/1504924", "https://ndownloader.figshare.com/files/1504925", "https://ndownloader.figshare.com/files/1504926", "https://ndownloader.figshare.com/files/1504927", "https://ndownloader.figshare.com/files/1504928", "https://ndownloader.figshare.com/files/1504929"], "description"=>"<div><p>Background</p><p>Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and lifestyle factors on risk of T2D in order to inform strategies for prevention.</p><p>Methods and Findings</p><p>The InterAct study includes 12,403 incident T2D cases and a representative sub-cohort of 16,154 individuals from a cohort of 340,234 European participants with 3.99 million person-years of follow-up. We studied the combined effects of an additive genetic T2D risk score and modifiable and non-modifiable risk factors using Prentice-weighted Cox regression and random effects meta-analysis methods. The effect of the genetic score was significantly greater in younger individuals (<i>p</i> for interaction  = 1.20×10<sup>−4</sup>). Relative genetic risk (per standard deviation [4.4 risk alleles]) was also larger in participants who were leaner, both in terms of body mass index (<i>p</i> for interaction  = 1.50×10<sup>−3</sup>) and waist circumference (<i>p</i> for interaction  = 7.49×10<sup>−9</sup>). Examination of absolute risks by strata showed the importance of obesity for T2D risk. The 10-y cumulative incidence of T2D rose from 0.25% to 0.89% across extreme quartiles of the genetic score in normal weight individuals, compared to 4.22% to 7.99% in obese individuals. We detected no significant interactions between the genetic score and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score.</p><p>Conclusions</p><p>The relative effect of a T2D genetic risk score is greater in younger and leaner participants. However, this sub-group is at low absolute risk and would not be a logical target for preventive interventions. The high absolute risk associated with obesity at any level of genetic risk highlights the importance of universal rather than targeted approaches to lifestyle intervention.</p><p><i>Please see later in the article for the Editors' Summary</i></p></div>", "links"=>[], "tags"=>["genetics", "genomics", "Genomic medicine", "genetic testing", "Clinical genetics", "Personalized medicine", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Clinical epidemiology", "Genetic epidemiology", "Molecular epidemiology", "Metabolic disorders", "Diabetes mellitus", "type 2 diabetes", "epic", "case-cohort"], "article_id"=>1032412, "categories"=>["Biological Sciences"], "users"=>["Claudia Langenberg", "Stephen J. Sharp", "Paul W. Franks", "Robert A. Scott", "Panos Deloukas", "Nita G. Forouhi", "Philippe Froguel", "Leif C. Groop", "Torben Hansen", "Luigi Palla", "Oluf Pedersen", "Matthias B. Schulze", "Maria-Jose Tormo", "Eleanor Wheeler", "Claudia Agnoli", "Larraitz Arriola", "Aurelio Barricarte", "Heiner Boeing", "Geraldine M. Clarke", "Françoise Clavel-Chapelon", "Eric J. Duell", "Guy Fagherazzi", "Rudolf Kaaks", "Nicola D. Kerrison", "Timothy J. Key", "Kay Tee Khaw", "Janine Kröger", "Martin Lajous", "Andrew P. Morris", "Carmen Navarro", "Peter M. Nilsson", "Kim Overvad", "Domenico Palli", "Salvatore Panico", "J. Ramón Quirós", "Olov Rolandsson", "Carlotta Sacerdote", "María-José Sánchez", "Nadia Slimani", "Annemieke M. W. Spijkerman", "Rosario Tumino", "Daphne L. van der A", "Yvonne T. van der Schouw", "Inês Barroso", "Mark I. McCarthy", "Elio Riboli", "Nicholas J. Wareham"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001647.s001", "https://dx.doi.org/10.1371/journal.pmed.1001647.s002", "https://dx.doi.org/10.1371/journal.pmed.1001647.s003", "https://dx.doi.org/10.1371/journal.pmed.1001647.s004", "https://dx.doi.org/10.1371/journal.pmed.1001647.s005", "https://dx.doi.org/10.1371/journal.pmed.1001647.s006", "https://dx.doi.org/10.1371/journal.pmed.1001647.s007", "https://dx.doi.org/10.1371/journal.pmed.1001647.s008", "https://dx.doi.org/10.1371/journal.pmed.1001647.s009", "https://dx.doi.org/10.1371/journal.pmed.1001647.s010", "https://dx.doi.org/10.1371/journal.pmed.1001647.s011", "https://dx.doi.org/10.1371/journal.pmed.1001647.s012"], "stats"=>{"downloads"=>12, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Gene_Lifestyle_Interaction_and_Type_2_Diabetes_The_EPIC_InterAct_Case_Cohort_Study_/1032412", "title"=>"Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-05-20 03:36:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/1504915"], "description"=>"<p>(A) BMI (red: <25 kg/m<sup>2</sup>; blue: 25 to <30 kg/m<sup>2</sup>; black: ≥30 kg/m<sup>2</sup>), (B) WC (red: <94 cm in men and <80 cm in women; blue: 94 to <102 cm in men and 80 to <88 cm in women; black: ≥102 cm in men and ≥88 cm in women), (C) physical activity (red: active; blue: moderately active; green: moderately inactive; black: inactive), and (D) Mediterranean diet score (red: 11–18; blue: 7–10; black: 0–6).</p>", "links"=>[], "tags"=>["genetics", "genomics", "Genomic medicine", "genetic testing", "Clinical genetics", "Personalized medicine", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Clinical epidemiology", "Genetic epidemiology", "Molecular epidemiology", "Metabolic disorders", "Diabetes mellitus", "type 2 diabetes", "incidence", "quartiles", "unweighted", "strata", "mediterranean"], "article_id"=>1032409, "categories"=>["Biological Sciences"], "users"=>["Claudia Langenberg", "Stephen J. Sharp", "Paul W. Franks", "Robert A. Scott", "Panos Deloukas", "Nita G. Forouhi", "Philippe Froguel", "Leif C. Groop", "Torben Hansen", "Luigi Palla", "Oluf Pedersen", "Matthias B. Schulze", "Maria-Jose Tormo", "Eleanor Wheeler", "Claudia Agnoli", "Larraitz Arriola", "Aurelio Barricarte", "Heiner Boeing", "Geraldine M. Clarke", "Françoise Clavel-Chapelon", "Eric J. Duell", "Guy Fagherazzi", "Rudolf Kaaks", "Nicola D. Kerrison", "Timothy J. Key", "Kay Tee Khaw", "Janine Kröger", "Martin Lajous", "Andrew P. Morris", "Carmen Navarro", "Peter M. Nilsson", "Kim Overvad", "Domenico Palli", "Salvatore Panico", "J. Ramón Quirós", "Olov Rolandsson", "Carlotta Sacerdote", "María-José Sánchez", "Nadia Slimani", "Annemieke M. W. Spijkerman", "Rosario Tumino", "Daphne L. van der A", "Yvonne T. van der Schouw", "Inês Barroso", "Mark I. McCarthy", "Elio Riboli", "Nicholas J. Wareham"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001647.g004", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cumulative_incidence_of_type_2_diabetes_percent_by_quartiles_of_the_imputed_unweighted_genetic_risk_score_and_strata_of_body_mass_index_waist_circumference_physical_activity_and_Mediterranean_diet_score_the_InterAct_study_/1032409", "title"=>"Cumulative incidence of type 2 diabetes (percent) by quartiles of the imputed, unweighted genetic risk score and strata of body mass index, waist circumference, physical activity, and Mediterranean diet score: the InterAct study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-20 03:36:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/1504913"], "description"=>"<p>Prentice-weighted Cox regression models are adjusted for age, sex, and centre. F, female; M, male; Med., Mediterranean.</p>", "links"=>[], "tags"=>["genetics", "genomics", "Genomic medicine", "genetic testing", "Clinical genetics", "Personalized medicine", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Clinical epidemiology", "Genetic epidemiology", "Molecular epidemiology", "Metabolic disorders", "Diabetes mellitus", "type 2 diabetes", "ratios", "deviation", "unweighted", "strata", "defined", "mediterranean"], "article_id"=>1032407, "categories"=>["Biological Sciences"], "users"=>["Claudia Langenberg", "Stephen J. Sharp", "Paul W. Franks", "Robert A. Scott", "Panos Deloukas", "Nita G. Forouhi", "Philippe Froguel", "Leif C. Groop", "Torben Hansen", "Luigi Palla", "Oluf Pedersen", "Matthias B. Schulze", "Maria-Jose Tormo", "Eleanor Wheeler", "Claudia Agnoli", "Larraitz Arriola", "Aurelio Barricarte", "Heiner Boeing", "Geraldine M. Clarke", "Françoise Clavel-Chapelon", "Eric J. Duell", "Guy Fagherazzi", "Rudolf Kaaks", "Nicola D. Kerrison", "Timothy J. Key", "Kay Tee Khaw", "Janine Kröger", "Martin Lajous", "Andrew P. Morris", "Carmen Navarro", "Peter M. Nilsson", "Kim Overvad", "Domenico Palli", "Salvatore Panico", "J. Ramón Quirós", "Olov Rolandsson", "Carlotta Sacerdote", "María-José Sánchez", "Nadia Slimani", "Annemieke M. W. Spijkerman", "Rosario Tumino", "Daphne L. van der A", "Yvonne T. van der Schouw", "Inês Barroso", "Mark I. McCarthy", "Elio Riboli", "Nicholas J. Wareham"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001647.g002", "stats"=>{"downloads"=>2, "page_views"=>29, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_ratios_for_type_2_diabetes_per_standard_deviation_4_4_alleles_increase_in_the_imputed_unweighted_genetic_risk_score_within_strata_defined_by_sex_diabetes_family_history_body_mass_index_waist_circumference_age_physical_activity_and_Mediterranean_di/1032407", "title"=>"Hazard ratios for type 2 diabetes per standard deviation (4.4 alleles) increase in the imputed, unweighted genetic risk score within strata defined by sex, diabetes family history, body mass index, waist circumference, age, physical activity, and Mediterranean diet score: the InterAct study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-20 03:36:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/1504914"], "description"=>"<p>Prentice-weighted Cox regression models are adjusted for age, sex, centre, and BMI. F, female; M, male; Med., Mediterranean.</p>", "links"=>[], "tags"=>["genetics", "genomics", "Genomic medicine", "genetic testing", "Clinical genetics", "Personalized medicine", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Clinical epidemiology", "Genetic epidemiology", "Molecular epidemiology", "Metabolic disorders", "Diabetes mellitus", "type 2 diabetes", "ratios", "deviation", "unweighted", "strata", "defined", "mediterranean"], "article_id"=>1032408, "categories"=>["Biological Sciences"], "users"=>["Claudia Langenberg", "Stephen J. Sharp", "Paul W. Franks", "Robert A. Scott", "Panos Deloukas", "Nita G. Forouhi", "Philippe Froguel", "Leif C. Groop", "Torben Hansen", "Luigi Palla", "Oluf Pedersen", "Matthias B. Schulze", "Maria-Jose Tormo", "Eleanor Wheeler", "Claudia Agnoli", "Larraitz Arriola", "Aurelio Barricarte", "Heiner Boeing", "Geraldine M. Clarke", "Françoise Clavel-Chapelon", "Eric J. Duell", "Guy Fagherazzi", "Rudolf Kaaks", "Nicola D. Kerrison", "Timothy J. Key", "Kay Tee Khaw", "Janine Kröger", "Martin Lajous", "Andrew P. Morris", "Carmen Navarro", "Peter M. Nilsson", "Kim Overvad", "Domenico Palli", "Salvatore Panico", "J. Ramón Quirós", "Olov Rolandsson", "Carlotta Sacerdote", "María-José Sánchez", "Nadia Slimani", "Annemieke M. W. Spijkerman", "Rosario Tumino", "Daphne L. van der A", "Yvonne T. van der Schouw", "Inês Barroso", "Mark I. McCarthy", "Elio Riboli", "Nicholas J. Wareham"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001647.g003", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_ratios_for_type_2_diabetes_per_standard_deviation_4_4_alleles_increase_in_the_imputed_unweighted_genetic_risk_score_within_strata_defined_by_sex_diabetes_family_history_body_mass_index_waist_circumference_age_physical_activity_and_Mediterranean_di/1032408", "title"=>"Hazard ratios for type 2 diabetes per standard deviation (4.4 alleles) increase in the imputed, unweighted genetic risk score within strata defined by sex, diabetes family history, body mass index, waist circumference, age, physical activity, and Mediterranean diet score: the InterAct study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-20 03:36:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/1504912"], "description"=>"<p>Hazard ratios for type 2 diabetes per standard deviation (4.4 alleles) increase in the imputed, unweighted genetic risk score by country and overall: the InterAct study.</p>", "links"=>[], "tags"=>["genetics", "genomics", "Genomic medicine", "genetic testing", "Clinical genetics", "Personalized medicine", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Clinical epidemiology", "Genetic epidemiology", "Molecular epidemiology", "Metabolic disorders", "Diabetes mellitus", "type 2 diabetes", "ratios", "deviation", "unweighted"], "article_id"=>1032406, "categories"=>["Biological Sciences"], "users"=>["Claudia Langenberg", "Stephen J. Sharp", "Paul W. Franks", "Robert A. Scott", "Panos Deloukas", "Nita G. Forouhi", "Philippe Froguel", "Leif C. Groop", "Torben Hansen", "Luigi Palla", "Oluf Pedersen", "Matthias B. Schulze", "Maria-Jose Tormo", "Eleanor Wheeler", "Claudia Agnoli", "Larraitz Arriola", "Aurelio Barricarte", "Heiner Boeing", "Geraldine M. Clarke", "Françoise Clavel-Chapelon", "Eric J. Duell", "Guy Fagherazzi", "Rudolf Kaaks", "Nicola D. Kerrison", "Timothy J. Key", "Kay Tee Khaw", "Janine Kröger", "Martin Lajous", "Andrew P. Morris", "Carmen Navarro", "Peter M. Nilsson", "Kim Overvad", "Domenico Palli", "Salvatore Panico", "J. Ramón Quirós", "Olov Rolandsson", "Carlotta Sacerdote", "María-José Sánchez", "Nadia Slimani", "Annemieke M. W. Spijkerman", "Rosario Tumino", "Daphne L. van der A", "Yvonne T. van der Schouw", "Inês Barroso", "Mark I. McCarthy", "Elio Riboli", "Nicholas J. Wareham"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001647.g001", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_ratios_for_type_2_diabetes_per_standard_deviation_4_4_alleles_increase_in_the_imputed_unweighted_genetic_risk_score_by_country_and_overall_the_InterAct_study_/1032406", "title"=>"Hazard ratios for type 2 diabetes per standard deviation (4.4 alleles) increase in the imputed, unweighted genetic risk score by country and overall: the InterAct study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-20 03:36:10"}

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