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Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study

INTRODUCTION: 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 ana...

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Autores principales: De Silva, Kushan, Demmer, Ryan T., Jönsson, Daniel, Mousa, Aya, Teede, Helena, Forbes, Andrew, Enticott, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182303/
https://www.ncbi.nlm.nih.gov/pubmed/35679284
http://dx.doi.org/10.1371/journal.pone.0269191
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author De Silva, Kushan
Demmer, Ryan T.
Jönsson, Daniel
Mousa, Aya
Teede, Helena
Forbes, Andrew
Enticott, Joanne
author_facet De Silva, Kushan
Demmer, Ryan T.
Jönsson, Daniel
Mousa, Aya
Teede, Helena
Forbes, Andrew
Enticott, Joanne
author_sort De Silva, Kushan
collection PubMed
description INTRODUCTION: 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. OBJECTIVES: To investigate the causality of central- and general obesity on PCOS using surrogate anthropometric markers. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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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spelling pubmed-91823032022-06-10 Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study De Silva, Kushan Demmer, Ryan T. Jönsson, Daniel Mousa, Aya Teede, Helena Forbes, Andrew Enticott, Joanne PLoS One Research Article INTRODUCTION: 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. OBJECTIVES: To investigate the causality of central- and general obesity on PCOS using surrogate anthropometric markers. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. Public Library of Science 2022-06-09 /pmc/articles/PMC9182303/ /pubmed/35679284 http://dx.doi.org/10.1371/journal.pone.0269191 Text en © 2022 De Silva et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
De Silva, Kushan
Demmer, Ryan T.
Jönsson, Daniel
Mousa, Aya
Teede, Helena
Forbes, Andrew
Enticott, Joanne
Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
title Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
title_full Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
title_fullStr Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
title_full_unstemmed Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
title_short Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study
title_sort causality of anthropometric markers associated with polycystic ovarian syndrome: findings of a mendelian randomization study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182303/
https://www.ncbi.nlm.nih.gov/pubmed/35679284
http://dx.doi.org/10.1371/journal.pone.0269191
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