BMI-Associated Alleles Do Not Constitute Risk Alleles for Polycystic Ovary Syndrome Independently of BMI: A Case-Control Study
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{"title"=>"BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: A case-control study", "type"=>"journal", "authors"=>[{"first_name"=>"Yvonne V.", "last_name"=>"Louwers", "scopus_author_id"=>"36671471700"}, {"first_name"=>"Nigel W.", "last_name"=>"Rayner", "scopus_author_id"=>"15052409700"}, {"first_name"=>"Blanca M.", "last_name"=>"Herrera", "scopus_author_id"=>"8859807100"}, {"first_name"=>"Lisette", "last_name"=>"Stolk", "scopus_author_id"=>"56998459100"}, {"first_name"=>"Christopher J.", "last_name"=>"Groves", "scopus_author_id"=>"55760328400"}, {"first_name"=>"Thomas M.", "last_name"=>"Barber", "scopus_author_id"=>"14041264900"}, {"first_name"=>"Andre G.", "last_name"=>"Uitterlinden", "scopus_author_id"=>"35231615000"}, {"first_name"=>"Stephen", "last_name"=>"Franks", "scopus_author_id"=>"7102615765"}, {"first_name"=>"Joop S.E.", "last_name"=>"Laven", "scopus_author_id"=>"35461243900"}, {"first_name"=>"Mark I.", "last_name"=>"McCarthy", "scopus_author_id"=>"7402061249"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84900320365", "doi"=>"10.1371/journal.pone.0087335", "issn"=>"19326203", "pui"=>"373059515", "sgr"=>"84900320365", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"24498077"}, "id"=>"a40a19b0-f441-3fa8-8267-014e01366850", "abstract"=>"INTRODUCTION: Polycystic Ovary Syndrome (PCOS) has a strong genetic background and the majority of patients with PCOS have elevated BMI levels. The aim of this study was to determine to which extent BMI-increasing alleles contribute to risk of PCOS when contemporaneous BMI is taken into consideration.\\n\\nMETHODS: Patients with PCOS and controls were recruited from the United Kingdom (563 cases and 791 controls) and The Netherlands (510 cases and 2720 controls). Cases and controls were of similar BMI. SNPs mapping to 12 BMI-associated loci which have been extensively replicated across different ethnicities, i.e., BDNF, FAIM2, ETV5, FTO, GNPDA2, KCTD15, MC4R, MTCH2, NEGR1, SEC16B, SH2B1, and TMEM18, were studied in association with PCOS within each cohort using the additive genetic model followed by a combined analysis. A genetic allelic count risk score model was used to determine the risk of PCOS for individuals carrying increasing numbers of BMI-increasing alleles.\\n\\nRESULTS: None of the genetic variants, including FTO and MC4R, was associated with PCOS independently of BMI in the meta-analysis. Moreover, no differences were observed between cases and controls in the number of BMI-risk alleles present and no overall trend across the risk score groups was observed.\\n\\nCONCLUSION: In this combined analysis of over 4,000 BMI-matched individuals from the United Kingdom and the Netherlands, we observed no association of BMI risk alleles with PCOS independent of BMI.", "link"=>"http://www.mendeley.com/research/bmiassociated-alleles-not-constitute-risk-alleles-polycystic-ovary-syndrome-independently-bmi-caseco", "reader_count"=>10, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Librarian"=>1, "Student > Doctoral Student"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>3, "Student > Master"=>1, "Student > Bachelor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Librarian"=>1, "Student > Doctoral Student"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>3, "Student > Master"=>1, "Student > Bachelor"=>2}, "reader_count_by_subject_area"=>{"Biochemistry, Genetics and Molecular Biology"=>2, "Medicine and Dentistry"=>1, "Agricultural and Biological Sciences"=>4, "Neuroscience"=>1, "Social Sciences"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1371770"], "description"=>"*<p>random effect meta-analysis (I<sup>2</sup>>25%), otherwise fixed effect meta-analysis was performed. <i>CHR</i> chromosome, <i>SNP</i> single nucleotide polymorphism, <i>OR</i> odds ratio, <i>CI</i> confidence interval, <i>P</i> p-value.</p>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Genetics of disease", "Clinical genetics", "Clinical research design", "Case-control studies", "Endocrinology", "Reproductive endocrinology", "epidemiology", "Genetic epidemiology", "women's health", "bmi-increasing", "alleles", "pcos", "united"], "article_id"=>922496, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Yvonne V. Louwers", "Nigel W. Rayner", "Blanca M. Herrera", "Lisette Stolk", "Christopher J. Groves", "Thomas M. Barber", "Andre G. Uitterlinden", "Stephen Franks", "Joop S. E. Laven", "Mark I. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087335.t002", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Genetic_association_results_for_BMI_increasing_risk_alleles_with_PCOS_in_the_United_Kingdom_and_The_Netherlands_/922496", "title"=>"Genetic association results for BMI-increasing risk alleles with PCOS in the United Kingdom and The Netherlands.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-31 03:46:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/1371773", "https://ndownloader.figshare.com/files/1371774", "https://ndownloader.figshare.com/files/1371775", "https://ndownloader.figshare.com/files/1371776"], "description"=>"<div><p>Introduction</p><p>Polycystic Ovary Syndrome (PCOS) has a strong genetic background and the majority of patients with PCOS have elevated BMI levels. The aim of this study was to determine to which extent BMI-increasing alleles contribute to risk of PCOS when contemporaneous BMI is taken into consideration.</p><p>Methods</p><p>Patients with PCOS and controls were recruited from the United Kingdom (563 cases and 791 controls) and The Netherlands (510 cases and 2720 controls). Cases and controls were of similar BMI. SNPs mapping to 12 BMI-associated loci which have been extensively replicated across different ethnicities, i.e., <i>BDNF</i>, <i>FAIM2</i>, <i>ETV5</i>, <i>FTO</i>, <i>GNPDA2</i>, <i>KCTD15</i>, <i>MC4R</i>, <i>MTCH2</i>, <i>NEGR1</i>, <i>SEC16B</i>, <i>SH2B1</i>, and <i>TMEM18,</i> were studied in association with PCOS within each cohort using the additive genetic model followed by a combined analysis. A genetic allelic count risk score model was used to determine the risk of PCOS for individuals carrying increasing numbers of BMI-increasing alleles.</p><p>Results</p><p>None of the genetic variants, including <i>FTO</i> and <i>MC4R</i>, was associated with PCOS independently of BMI in the meta-analysis. Moreover, no differences were observed between cases and controls in the number of BMI-risk alleles present and no overall trend across the risk score groups was observed.</p><p>Conclusion</p><p>In this combined analysis of over 4,000 BMI-matched individuals from the United Kingdom and the Netherlands, we observed no association of BMI risk alleles with PCOS independent of BMI.</p></div>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Genetics of disease", "Clinical genetics", "Clinical research design", "Case-control studies", "Endocrinology", "Reproductive endocrinology", "epidemiology", "Genetic epidemiology", "women's health", "alleles", "polycystic", "ovary", "independently", "case-control"], "article_id"=>922499, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Yvonne V. Louwers", "Nigel W. Rayner", "Blanca M. Herrera", "Lisette Stolk", "Christopher J. Groves", "Thomas M. Barber", "Andre G. Uitterlinden", "Stephen Franks", "Joop S. E. Laven", "Mark I. McCarthy"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0087335.s001", "https://dx.doi.org/10.1371/journal.pone.0087335.s002", "https://dx.doi.org/10.1371/journal.pone.0087335.s003", "https://dx.doi.org/10.1371/journal.pone.0087335.s004"], "stats"=>{"downloads"=>2, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_BMI_Associated_Alleles_Do_Not_Constitute_Risk_Alleles_for_Polycystic_Ovary_Syndrome_Independently_of_BMI_A_Case_Control_Study_/922499", "title"=>"BMI-Associated Alleles Do Not Constitute Risk Alleles for Polycystic Ovary Syndrome Independently of BMI: A Case-Control Study", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-01-31 03:46:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/1371771"], "description"=>"<p>Data are presented for pools of BMI-increasing alleles as odds ratio and confidence intervals. Only individuals with data of >90% of the SNPs available were included. The mean number of BMI-increasing alleles in the controls was used as the reference group. <i>GRS</i> genetic risk score; <i>n</i> number of individuals; <i>OR</i> odds ratio.</p>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Genetics of disease", "Clinical genetics", "Clinical research design", "Case-control studies", "Endocrinology", "Reproductive endocrinology", "epidemiology", "Genetic epidemiology", "women's health", "bmi-increasing", "alleles", "having"], "article_id"=>922497, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Yvonne V. Louwers", "Nigel W. Rayner", "Blanca M. Herrera", "Lisette Stolk", "Christopher J. Groves", "Thomas M. Barber", "Andre G. Uitterlinden", "Stephen Franks", "Joop S. E. Laven", "Mark I. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087335.t003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Combined_impact_of_BMI_increasing_alleles_on_the_risk_of_having_PCOS_/922497", "title"=>"Combined impact of BMI-increasing alleles on the risk of having PCOS.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-31 03:46:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/1371772"], "description"=>"<p><i>BMI</i> Body Mass Index; <i>P</i> p-value.</p>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Genetics of disease", "Clinical genetics", "Clinical research design", "Case-control studies", "Endocrinology", "Reproductive endocrinology", "epidemiology", "Genetic epidemiology", "women's health", "prevalence", "rates", "overweight", "en", "obese", "patients", "pcos"], "article_id"=>922498, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Yvonne V. Louwers", "Nigel W. Rayner", "Blanca M. Herrera", "Lisette Stolk", "Christopher J. Groves", "Thomas M. Barber", "Andre G. Uitterlinden", "Stephen Franks", "Joop S. E. Laven", "Mark I. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087335.t001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_prevalence_rates_of_normal_weight_overweight_en_obese_patients_with_PCOS_and_controls_/922498", "title"=>"The prevalence rates of normal weight, overweight en obese patients with PCOS and controls.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-31 03:46:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/1371769"], "description"=>"<p>Along the X-axis the risk categories are shown based on the number of BMI-increasing alleles. The histogram (Y-axis on the left) indicates the percentage of individuals for each risk-score group. The odds ratio and confidence intervals calculated based on the risk of having PCOS compared to the reference risk group are plotted on the Y axis on the right.</p>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Genetics of disease", "Clinical genetics", "Clinical research design", "Case-control studies", "Endocrinology", "Reproductive endocrinology", "epidemiology", "Genetic epidemiology", "women's health", "alleles", "having", "pcos", "compared"], "article_id"=>922495, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Yvonne V. Louwers", "Nigel W. Rayner", "Blanca M. Herrera", "Lisette Stolk", "Christopher J. Groves", "Thomas M. Barber", "Andre G. Uitterlinden", "Stephen Franks", "Joop S. E. Laven", "Mark I. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087335.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Combined_impact_of_risk_alleles_on_the_risk_of_having_PCOS_compared_to_the_reference_risk_group_/922495", "title"=>"Combined impact of risk alleles on the risk of having PCOS compared to the reference risk group.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-31 03:46:26"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"4", "full-text"=>"6", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"5", "full-text"=>"7", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
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  • {"unique-ip"=>"9", "full-text"=>"6", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
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  • {"unique-ip"=>"8", "full-text"=>"5", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}

Relative Metric

{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[291]}, {"subject_area"=>"/Biology and life sciences/Physiology", "average_usage"=>[280]}, {"subject_area"=>"/Medicine and health sciences/Physiology", "average_usage"=>[278]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[286]}]}
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