Evidence map›Paper›PMID 35104295›Full record

ArticlePLoS medicine2022

Obesity and risk of female reproductive conditions: A Mendelian randomisation study.

Samvida S Venkatesh, Teresa Ferreira, Stefania Benonisdottir, Nilufer Rahmioglu, Christian M Becker, Ingrid Granne, Krina T Zondervan, Michael V Holmes, Cecilia M Lindgren, Laura B L Wittemans

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05651568 (Comparison of Periodized Resistance Training and High Intensity Interval Training on Body Mass Index and Quality of in Polycystic Ovarian Syndrome.), which is not on this map. Cited by 137 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 7 pooled it
35.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05651568 nacompletednot on this map

Comparison of Periodized Resistance Training and High Intensity Interval Training on Body Mass Index and Quality of in Polycystic Ovarian Syndrome.

TypeinterventionalSponsorRiphah International UniversityRan2022 to 2023Enrolled26ConditionsPolycystic Ovary SyndromeArmsPeriodized resistance training, High intensity interval training
3 · Its place in the literature

Who cites it

137 citing papers in PubMed, 7 syntheses or guidelines pooled it, 190 citations in OpenAlex.

  1. Pooled it
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  4. Effects of physical activity in women with polycystic ovary syndrome: a systematic review and meta-analysis.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Pooled it
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  11. Causal effects of reproductive traits on cognitive function: A two-sample and multivariable mendelian randomization study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
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  13. Genetic Correlation and Causal Inference Between Female Fat Distribution and Preeclampsia: An Integrative Genomic Study.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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77 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Samvida S VenkateshBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-7680-1208
Teresa FerreiraBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Stefania BenonisdottirBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Nilufer RahmiogluWellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5169-8571
Christian M BeckerNuffield Department of Women's and Reproductive Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-9870-9581
Ingrid GranneNuffield Department of Women's and Reproductive Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-7056-5723
Krina T ZondervanWellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0275-9905
Michael V HolmesNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6617-0879
Cecilia M LindgrenBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-4903-9374
Laura B L WittemansBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6588-938X
University of Oxford · GBCentre for Human Genetics · GBBroad Institute · US

Funding

The Massachusetts General Hospital Harvard Center for Reproductive MedicineP50HD104224 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI TALKOWSKI, MICHAEL E · 2021 to 2025
$7.8M
British Heart Foundation FS/18/23/33512Department of HealthGates Foundation INV-024200Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NICHD NIH HHS P50 HD104224Wellcome TrustWellcome Trust 203141/Z/16/ZWellcome Trust 221651/Z/20/ZWellcome Trust 221782/Z/20/Z
6 · The paper itself

Abstract

backgroundObesity is observationally associated with altered risk of many female reproductive conditions. These include polycystic ovary syndrome (PCOS), abnormal uterine bleeding, endometriosis, infertility, and pregnancy-related disorders. However, the roles and mechanisms of obesity in the aetiology of reproductive disorders remain unclear. Thus, we aimed to estimate observational and genetically predicted causal associations between obesity, metabolic hormones, and female reproductive disorders. METHODS AND

findingsLogistic regression, generalised additive models, and Mendelian randomisation (MR) (2-sample, non-linear, and multivariable) were applied to obesity and reproductive disease data on up to 257,193 women of European ancestry in UK Biobank and publicly available genome-wide association studies (GWASs). Body mass index (BMI), waist-to-hip ratio (WHR), and WHR adjusted for BMI were observationally (odds ratios [ORs] = 1.02-1.87 per 1-SD increase in obesity trait) and genetically (ORs = 1.06-2.09) associated with uterine fibroids (UF), PCOS, heavy menstrual bleeding (HMB), and pre-eclampsia. Genetically predicted visceral adipose tissue (VAT) mass was associated with the development of HMB (OR [95% CI] per 1-kg increase in predicted VAT mass = 1.32 [1.06-1.64], P = 0.0130), PCOS (OR [95% CI] = 1.15 [1.08-1.23], P = 3.24 × 10-05), and pre-eclampsia (OR [95% CI] = 3.08 [1.98-4.79], P = 6.65 × 10-07). Increased waist circumference posed a higher genetic risk (ORs = 1.16-1.93) for the development of these disorders and UF than did increased hip circumference (ORs = 1.06-1.10). Leptin, fasting insulin, and insulin resistance each mediated between 20% and 50% of the total genetically predicted association of obesity with pre-eclampsia. Reproductive conditions clustered based on shared genetic components of their aetiological relationships with obesity. This study was limited in power by the low prevalence of female reproductive conditions among women in the UK Biobank, with little information on pre-diagnostic anthropometric traits, and by the susceptibility of MR estimates to genetic pleiotropy.

conclusionsWe found that common indices of overall and central obesity were associated with increased risks of reproductive disorders to heterogenous extents in a systematic, large-scale genetics-based analysis of the aetiological relationships between obesity and female reproductive conditions. Our results suggest the utility of exploring the mechanisms mediating the causal associations of overweight and obesity with gynaecological health to identify targets for disease prevention and treatment.

Indexed as

AdultAgedFemaleGenome-Wide Association StudyHumansLeiomyomaMendelian Randomization AnalysisMiddle AgedObesityPolycystic Ovary SyndromePre-EclampsiaPregnancyRisk AssessmentUnited KingdomUterine Hemorrhage

Identifiers

PMID35104295
PMCPMC8806071
OpenAlexW4210652883

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.