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Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
by
Enticott, Joanne
, De Silva, Kushan
, Demmer, Ryan T.
, Jönsson, Daniel
, Teede, Helena
, Mousa, Aya
, Forbes, Andrew
in
Age
/ Anthropometry
/ Bias
/ Biology and Life Sciences
/ Body mass
/ Body mass index
/ Body measurements
/ Body size
/ Causality
/ Consortia
/ Data acquisition
/ Diagnosis
/ Epidemiology
/ Females
/ Genetic aspects
/ Genomes
/ Health aspects
/ Health Sciences
/ Hip
/ Hälsovetenskap
/ Insulin resistance
/ Markers
/ Medical and Health Sciences
/ Medicin och hälsovetenskap
/ Medicine and Health Sciences
/ Meta-analysis
/ Metabolism
/ Modelling
/ Nutrition and Dietetics
/ Näringslära och dietkunskap
/ Obesity
/ Ovaries
/ Pathogenesis
/ Polycystic ovary syndrome
/ Randomization
/ Statistics
/ Stein-Leventhal syndrome
/ Weight
2022
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Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
by
Enticott, Joanne
, De Silva, Kushan
, Demmer, Ryan T.
, Jönsson, Daniel
, Teede, Helena
, Mousa, Aya
, Forbes, Andrew
in
Age
/ Anthropometry
/ Bias
/ Biology and Life Sciences
/ Body mass
/ Body mass index
/ Body measurements
/ Body size
/ Causality
/ Consortia
/ Data acquisition
/ Diagnosis
/ Epidemiology
/ Females
/ Genetic aspects
/ Genomes
/ Health aspects
/ Health Sciences
/ Hip
/ Hälsovetenskap
/ Insulin resistance
/ Markers
/ Medical and Health Sciences
/ Medicin och hälsovetenskap
/ Medicine and Health Sciences
/ Meta-analysis
/ Metabolism
/ Modelling
/ Nutrition and Dietetics
/ Näringslära och dietkunskap
/ Obesity
/ Ovaries
/ Pathogenesis
/ Polycystic ovary syndrome
/ Randomization
/ Statistics
/ Stein-Leventhal syndrome
/ Weight
2022
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Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
by
Enticott, Joanne
, De Silva, Kushan
, Demmer, Ryan T.
, Jönsson, Daniel
, Teede, Helena
, Mousa, Aya
, Forbes, Andrew
in
Age
/ Anthropometry
/ Bias
/ Biology and Life Sciences
/ Body mass
/ Body mass index
/ Body measurements
/ Body size
/ Causality
/ Consortia
/ Data acquisition
/ Diagnosis
/ Epidemiology
/ Females
/ Genetic aspects
/ Genomes
/ Health aspects
/ Health Sciences
/ Hip
/ Hälsovetenskap
/ Insulin resistance
/ Markers
/ Medical and Health Sciences
/ Medicin och hälsovetenskap
/ Medicine and Health Sciences
/ Meta-analysis
/ Metabolism
/ Modelling
/ Nutrition and Dietetics
/ Näringslära och dietkunskap
/ Obesity
/ Ovaries
/ Pathogenesis
/ Polycystic ovary syndrome
/ Randomization
/ Statistics
/ Stein-Leventhal syndrome
/ Weight
2022
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Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
Journal Article
Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
2022
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Overview
Using body mass index (BMI) as a proxy, previous Mendelian randomization (MR) studies found total causal effects of general obesity on polycystic ovarian syndrome (PCOS). Hitherto, total and direct causal effects of general- and central obesity on PCOS have not been comprehensively analyzed.
To investigate the causality of central- and general obesity on PCOS using surrogate anthropometric markers.
Summary GWAS data of female-only, large-sample cohorts of European ancestry were retrieved for anthropometric markers of central obesity (waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR)) and general obesity (BMI and its constituent variables-weight and height), from the IEU Open GWAS Project. As the outcome, we acquired summary data from a large-sample GWAS (118870 samples; 642 cases and 118228 controls) within the FinnGen cohort. Total causal effects were assessed via univariable two-sample Mendelian randomization (2SMR). Genetic architectures underlying causal associations were explored. Direct causal effects were analyzed by multivariable MR modelling.
Instrumental variables demonstrated no weak instrument bias (F > 10). Four anthropometric exposures, namely, weight (2.69-77.05), BMI (OR: 2.90-4.06), WC (OR: 6.22-20.27), and HC (OR: 6.22-20.27) demonstrated total causal effects as per univariable 2SMR models. We uncovered shared and non-shared genetic architectures underlying causal associations. Direct causal effects of WC and HC on PCOS were revealed by two multivariable MR models containing exclusively the anthropometric markers of central obesity. Other multivariable MR models containing anthropometric markers of both central- and general obesity showed no direct causal effects on PCOS.
Both and general- and central obesity yield total causal effects on PCOS. Findings also indicated potential direct causal effects of normal weight-central obesity and more complex causal mechanisms when both central- and general obesity are present. Results underscore the importance of addressing both central- and general obesity for optimizing PCOS care.
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