Causal relationship between polycystic ovary syndrome and coronary artery disease: A Mendelian randomisation study.
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ABSTRACT: Objective
Polycystic ovary syndrome (PCOS) has been associated with an increased risk of coronary artery disease (CAD). However, it remains uncertain whether this increased risk is the result of PCOS per se or, alternatively, is explained by obesity, a common feature of PCOS. The aim of this study was to assess the causal association between PCOS and CAD and the role of obesity herein.Design and methods
We conducted two-sample Mendelian randomisation analyses in large-scale, female-specific datasets to study the association between genetically predicted (1) risk of PCOS and risk of CAD, (2) body mass index (BMI) and risk of PCOS and (3) BMI and risk of CAD. Primary analyses were conducted with the inverse-variance weighted (IVW) method. Simple median, penalized weighted median and contamination mixture analyses were performed to assess the robustness of the outcomes.Results
IVW analyses did not show a statistically significant association between PCOS and CAD (odds ratio [OR]: 0.99, 95% confidence interval [CI]: 0.89, 1.11). In contrast, genetically predicted BMI was statistically significantly associated with an increased odds of PCOS (OR: 3.21, 95% CI: 2.26, 4.56) and CAD (OR: 1.38, 95% CI: 1.14, 1.67). Similar results were obtained when secondary analyses were performed.Conclusion
These sex-specific analyses show that the genetically predicted risk of PCOS is not associated with the risk of CAD. Instead, the genetically predicted risk of obesity (and its downstream metabolic effects) is the common denominator of both PCOS and CAD risk.
SUBMITTER: Simons PIHG
PROVIDER: S-EPMC7612926 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectivePolycystic ovary syndrome is one of the most common endocrine disorders among women of childbearing age. The relationship between polycystic ovary syndrome and chronic kidney disease remains unclear and controversial. In this study, we investigated the causal role of polycystic ovary syndrome in the development of chronic kidney disease using the two-sample Mendelian randomization method.MethodsPublic shared summary-level data was acquired from European-ancestry genome wide association studies. We finally obtained 12 single nucleotide polymorphisms as instrumental variables, which were associated with polycystic ovary syndrome in European at genome-wide significance (P < 5 × 10-8). Inverse-variance weighted method was employed in the Mendelian randomization analysis and multiple sensitivity analyses were implemented. Outcome data were obtained from the Open GWAS database.ResultsA positive causal association was observed between polycystic ovary syndrome and chronic kidney disease (odds ratio [OR]=1.180, 95% confidence interval [CI]: 1.038-1.342; P=0.010). Further analyses clarified that causal relationship exist between polycystic ovary syndrome and some serological indicators of chronic kidney disease (fibroblast growth factor 23: OR= 1.205, 95% CI: 1.031-1.409, P=0.019; creatinine: OR= 1.012, 95% CI: 1.001-1.023, P=0.035; cystatin C: OR= 1.024, 95% CI: 1.006-1.042, P=0.009). However, there was no causal association of polycystic ovary syndrome with other factors in the data sources we employed.ConclusionsOur results indicate an important role of polycystic ovary syndrome in the development of chronic kidney disease. This study suggests that regular follow-up of renal function in patients with polycystic ovary syndrome is necessary for the early treatment of chronic kidney disease.
| S-EPMC10050750 | biostudies-literature
Project description:BackgroundPolycystic ovary syndrome (PCOS) is often accompanied by increased oxidative stress levels; however, it is still unclear whether PCOS itself is causally related to oxidative stress (OS), whether OS can increase the occurrence of PCOS, and which characteristics of PCOS increase OS levels. Therefore, this study explored the causal relationship between PCOS, its characteristics, and OS.MethodsTwo-sample bidirectional and two-sample Mendelian randomisation studies were performed based on publicly available statistics from genome-wide association studies. PCOS; its characteristics, such as testosterone, low-density lipoprotein, high-density lipoprotein; and 11 major OS markers (superoxide dismutase, glutathione S-transferase, glutathione peroxidase, catalase, uric acid, zinc, tocopherol, ascorbic acid, retinol, albumin, and total bilirubin), were studied. The main analytical method used was inverse variance weighting (IVW). Pleiotropy was evaluated using the Mendelian randomisation-Egger intercept. Q and P values were used to assess heterogeneity.ResultsThere was no causal relationship between PCOS and the OS indices (all P > 0.05). There was a causal relationship between the OS index, ascorbate level, and PCOS (IVW, odds ratio: 2.112, 95% confidence interval: 1.257-3.549, P = 0.005). In addition, there was a causal relationship between testosterone, low-density lipoprotein, high-density lipoprotein, sex hormone-binding globulin, body mass index, triacylglycerol, age at menarche, and most OS indices according to the IVW method. The F statistics showed that there was no weak instrumental variable. A sensitivity analysis was performed using the leave-one-out method. No pleiotropy was observed. The results were robust, and the conclusions were reliable.ConclusionsThis study showed for the first time that there was no causal relationship between PCOS and OS. However, there was a causal relationship between the OS index, ascorbate level, and PCOS. It revealed that PCOS itself could not increase OS, and the increase in OS in PCOS was related to other potential factors, such as testosterone, low-density lipoprotein, high-density lipoprotein, sex hormone-binding globulin, body mass index, triacylglycerol, and age at menarche.
| S-EPMC10278295 | biostudies-literature
Project description:Study questionWhat are the causal relationships between polycystic ovary syndrome (PCOS) and body mass index (BMI)?Summary answerBidirectional Mendelian randomization analyses suggest that increased BMI is causal for PCOS while the reverse is not the case.What is known alreadyThe contribution of obesity to the pathogenesis of PCOS is controversial. To date, published genetic studies addressing this question have generated conflicting results and have not utilized the full extent of known single nucleotide polymorphisms associated with body mass index (BMI).Study design, size, durationThis cross-sectional Mendelian randomization (MR) and genetic association study was conducted in 750 individuals of European origin and with PCOS and 1567 BMI-matched controls.Participants/materials, setting, methodsCases and controls were matched for BMI as well as for distribution of weight categories (normal weight, overweight, obese). Two-sample MR using inverse variance weighting (IVW) was conducted using a 92-SNP instrument variable for BMI with PCOS as the outcome, followed by two-sample MR with a 16-SNP instrument variable for PCOS with BMI as the outcome. Sensitivity analyses included MR-Egger and maximum likelihood methods. Secondary analyses assessed associations of genetic risk scores and individual SNPs with PCOS, BMI and quantitative androgen-related and glucose homeostasis-related traits.Main results and the role of chanceEach standard deviation genetically higher BMI was associated with a 4.89 (95% CI 1.46-16.32) higher odds of PCOS. Conversely, genetic risk of PCOS did not influence BMI. Sensitivity analyses yielded directionally consistent results. The genetic risk score of 92 BMI SNPs was associated with the diagnosis of PCOS (OR 1.043, 95% CI 1.009-1.078, P = 0.012). Of the 92 BMI risk variants evaluated, none were associated individually with PCOS after considering multiple testing. The association of FTO SNP rs1421085 with BMI was stronger in women with PCOS (β = 0.071, P = 0.0006) than in controls (β = 0.046, P = 0.065).Limitations, reasons for cautionThe current sample size, while providing good power for MR and genetic risk score analyses, had limited power to demonstrate association of individual SNPs with PCOS. Cases and controls were not matched for age; however, this was mitigated by adjusting analyses for age. Dietary and lifestyle data, which could have been used to explore the greater association of the FTO SNP with BMI in women with PCOS, was not available.Wider implications of the findingsIncreasing BMI appears to be causal for PCOS but having PCOS does not appear to affect BMI. This study used the most comprehensive set of SNPs for BMI currently available. Prior studies using fewer SNPs had yielded conflicting results and may have been confounded because cases and controls were not matched for weight categories. The current results highlight the potential utility of weight management in the prevention and treatment of PCOS.Study funding/competing interest(s)National Institutes of Health Grants R01-HD29364 and K24-HD01346 (to R.A.), Grant R01-DK79888 (to M.O.G.), Grant U54-HD034449 (to R.S.L.), Grant U19-HL069757 (to R.M.K.). The funders had no influence on the data collection, analyses or conclusions of the study. No conflict of interests to declare.Trial registration numberN/A.
| S-EPMC6295958 | biostudies-literature
Project description:BackgroundGrowing evidence suggests that Coronary artery disease (CAD) is associated with cognitive impairment. However, these results from observational studies was not entirely consistent, with some detecting no such association. And it is necessary to explore the causal relationship between CAD and cognitive impairment.ObjectiveWe aimed to explore the potential causal relationship between CAD and cognitive impairment by using bidirectional two-sample mendelian randomization (MR) analyses.MethodsInstrument variants were extracted according to strict selection criteria. And we used publicly available summary-level GWAS data. Five different methods of MR [random-effect inverse-variance weighted (IVW), MR Egger, weighted median, weighted mode and Wald ratio] were used to explore the causal relationship between CAD and cognitive impairment.ResultsThere was little evidence to support a causal effect of CAD on cognitive impairment in the forward MR analysis. In the reverse MR analyses, We detect causal effects of fluid intelligence score (IVW: β = -0.12, 95% CI of -0.18 to -0.06, P = 6.8 × 10-5), cognitive performance (IVW: β = -0.18, 95% CI of -0.28 to -0.08, P = 5.8 × 10-4) and dementia with lewy bodies (IVW: OR = 1.07, 95% CI of 1.04-1.10, P = 1.1 × 10-5) on CAD.ConclusionThis MR analysis provides evidence of a causal association between cognitive impairment and CAD. Our findings highlight the importance of screening for coronary heart disease in patients of cognitive impairment, which might provide new insight into the prevention of CAD. Moreover, our study provides clues for risk factor identification and early prediction of CAD.
| S-EPMC10242088 | biostudies-literature
Project description:Women with polycystic ovary syndrome are characterized by obesity, menstruation irregularity, hirsutism and infertility, and prevalent with cardiometabolic comorbidities, but population-based studies on the risk of developing coronary artery disease are limited. From claims data of the Taiwan National Health Insurance, we identified 8048 women with polycystic ovary syndrome aged 15-49 years newly diagnosed in 1998-2013, and 32192 women without the syndrome and CAD as controls, frequency matched by age and diagnosis date. By the end of 2013, after a mean follow-up period of 5.9 years, the overall incidence of coronary artery disease was 63% higher in women with polycystic ovary syndrome than in controls (2.25 vs. 1.38 per 1000 person-years). The adjusted hazard ratio [aHR] of coronary artery disease was 1.44 (95% confidence interval (CI) = 1.14-1.81) for women with polycystic ovary syndrome, compared with controls. Hazards of coronary artery disease were significant during follow-up periods of 3-4 years (aHR = 1.52, 95% CI = 1.00-2.30) and of 5-9 years (aHR = 1.58, 95% CI = 1.07-2.32). The incidence of coronary artery disease increased further in those with cardiometabolic comorbidities. Among women with polycystic ovary syndrome, those with comorbid diabetes had an incidence of 35.2 per 1000 person-years, 20-fold greater than those without cardiometabolic comorbidities. In conclusion, women with polycystic ovary syndrome are at an elevated risk of coronary artery disease. Preventive interventions should be provided to them, particularly for those with the comorbidity of metabolism symptom.
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Project description:BackgroundEvidence from observational studies and clinical trials suggests that the gut microbiota is associated with cancer. However, the causal association between gut microbiota and cancer remains to be determined.MethodsWe first identified two sets of gut microbiota based on phylum, class, order, family, and genus level information, and cancer data were obtained from the IEU Open GWAS project. We then performed two-sample Mendelian randomisation (MR) to determine whether the gut microbiota is causally associated with eight cancer types. Furthermore, we performed a bi-directional MR analysis to examine the direction of the causal relations.ResultsWe identified 11 causal relationships between genetic liability in the gut microbiome and cancer, including those involving the genus Bifidobacterium. We found 17 strong associations between genetic liability in the gut microbiome and cancer. Moreover, we found 24 associations between genetic liability in the gut microbiome and cancer using multiple datasets.ConclusionsOur MR analysis revealed that the gut microbiota was causally associated with cancers and may be useful in providing new insights for further mechanistic and clinical studies of microbiota-mediated cancer.
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Project description:Background: Polycystic ovary syndrome (PCOS) is a common endocrine pathology affecting women of reproductive age characterized by chronic anovulation, hyperandrogenism, and polycystic ovaries. Coronary artery calcification (CAC) is a marker of subclinical atherosclerosis and prognostic of cardiovascular disease (CVD) risk. Some studies have shown that women with PCOS have a greater risk of CAC; however, a few others report contrary findings. The objective of this study is to examine and quantify the association between PCOS and CAC. Materials and Methods: We searched EMBASE, Google Scholar, PubMed, and Web of Science from inception to November 2021 to identify studies that provided information on PCOS and CAC. We used a random-effects model to aggregate the odds ratios (ORs) for CAC (score >0) among women with PCOS compared with controls adjusted for sociodemographic characteristics and CVD risk factors. Results: From the 36 articles reviewed, 3 prospective cohort and 4 cross-sectional studies met the inclusion criteria with a total of 2341 participants. Six studies used CAC > 0 as an outcome and were included in the pooled analysis. Using the Hartung-Knapp-Sidik-Jonkman method, the pooled adjusted ORs for the associations between PCOS and the presence of CAC were 2.48 (95% confidence interval: 2.11-2.84) with no significant heterogeneity (I2 = 0.10%, p = 0.97) for the cohort studies and 1.88 (0.71-3.06) with no significant heterogeneity (I2 = 13.95%, p = 0.87) for the cross-sectional studies. Conclusion: In pooled analyses, women with PCOS had approximately twofold greater odds of having CAC compared with women without PCOS. However, additional prospective studies will be needed to further understand the relationship between PCOS and CAC.
| S-EPMC9360175 | biostudies-literature
Project description:Background: Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder that is influenced by both genetic and environmental factors. However, the etiology of PCOS remains unclear. Methods: We conducted a two-sample Mendelian randomization (MR) analysis to assess the causal effects of genetically determined metabolites (GDMs) on the risk of PCOS. We used summary level data of a genome-wide association study (GWAS) on 486 metabolites (n = 7,824) as exposure and a PCOS GWAS consisting of 4,138 cases and 20,129 controls as the outcome. Both datasets were obtained from publicly published databases. For each metabolite, a genetic instrumental variable was generated to assess the relationship between the metabolite and PCOS. For MR analysis, we primarily used the standard inverse variance weighted (IVW) method, while three additional methods-the MR-Egger, weighted median, and MR-PRESSO (pleiotropy residual sum and outlier) methods-were performed as sensitivity analyses. Results: Using genetic variants as predictors, we observed a robust relationship between epiandrosterone sulfate (EPIA-S) and PCOS (P IVW = 0.0186, P MR-Egger = 0.0111; P Weighted-median = 0.0154, and P MR-PRESSO = 0.0290). Similarly, 3-dehydrocarnitine, 4-hydroxyhippurate, hexadecanedioate, and β-hydroxyisovalerate may also have causal effects on PCOS development. Conclusions: We identified metabolites that might have causal effects on PCOS development. Our study emphasizes the role of genetic factors underlying the causal relationships between metabolites and PCOS and provides novel insights through the integration of metabolomics and genomics to better understand the mechanisms involved in human disease pathogenesis.
| S-EPMC7505923 | biostudies-literature
Project description:BackgroundPolycystic ovary syndrome (PCOS) is common and often causes infertility in women of childbearing age. This study adopted the method of bibliometrics to analyze the current research status of research on PCOS and infertility.MethodWe conducted a literature search based on the Science Citation Index Expanded (SCI-E) database. All records of search results were exported and the records were cited r in plain text format to generate source files for analysis. CiteSpace software was then used to analyze the source files. The content of the analysis included: annual changes in the number of publications, the distribution of the countries and institutions of the authors of the literature, the distribution of the journals from which the literature was sourced, the distribution of authors, and the use of keywords.ResultsThere were a total of 2,716 documents retrieved, and the frequency of citations was 86,817. Both the number of documents and the number of citations showed an annually increasing trend. In this field of research, the United States was in a leading position, with many important research institutions and researchers. Emphasis was placed on top-level journals in the field of reproduction and top-level comprehensive journals. The use of keywords changed over time: in recent years, popular keywords included meta-analysis, follicular fluid, oxidative stress, and diagnostic criteria.ConclusionsThere are obvious regional differences in PCOS and infertility research. International cooperation, especially cooperation with developing countries, should be strengthened.
| S-EPMC9011246 | biostudies-literature
Project description:RationaleLarge retrospective case-control studies have reported an association between chronic obstructive pulmonary disease (COPD), reduced lung function and an increased risk of Alzheimer's disease. However, it remains unclear if these diseases are causally linked, or due to shared risk factors. Conventional observational epidemiology suffers from unmeasured confounding and reverse causation. Additional analyses addressing causality are required.ObjectivesTo examine a causal relationship between COPD, lung function and Alzheimer's disease.MethodsUsing two-sample Mendelian randomisation, we used single nucleotide polymorphisms (SNPs) identified in a genome wide association study (GWAS) for lung function as instrumental variables (exposure). Additionally, we used SNPs discovered in a GWAS for COPD in those with moderate to very severe obstruction. The effect of these SNPs on Alzheimer's disease (outcome) was taken from a GWAS based on a sample of 24 807 patients and 55 058 controls.ResultsWe found minimal evidence for an effect of either lung function (OR: 1.02 per SD; 95% CI 0.91 to 1.13; p value 0.68) or liability for COPD on Alzheimer's disease (OR: 0.97 per SD; 95% CI 0.92 to 1.03; p value 0.40).ConclusionNeither reduced lung function nor liability COPD are likely to be causally associated with an increased risk of Alzheimer's, any observed association is likely due to unmeasured confounding. Scientific attention and health prevention policy may be better focused on overlapping risk factors, rather than attempts to reduce risk of Alzheimer's disease by targeting impaired lung function or COPD directly.
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