scholarly journals Mendelian Randomization Analysis Identified Potential Genes Pleiotropically Associated with Polycystic Ovary Syndrome

2021 ◽  
Author(s):  
Qian Sun ◽  
Yuan Gao ◽  
Jingyun Yang ◽  
Jiayi Lu ◽  
Wen Feng ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals Mendelian randomization analysis identified potential genes pleiotropically associated with polycystic ovary syndrome

2021 ◽  
Author(s):  
Qian Sun ◽  
Yuan Gao ◽  
Jingyun Yang ◽  
Jiayi Lu ◽  
Wen Feng ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Whole Blood ◽  
Multiple Testing ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
Research Question ◽  
Ovary Syndrome ◽  
Unclear Etiology ◽  
Eqtl Data

Research question: Polycystic ovary syndrome (PCOS) is a common endocrine disorder with unclear etiology. Are there any genes that are pleiotropically or potentially causally associated with PCOS? Design: We applied the summary data-based Mendelian randomization (SMR) method integrating genome-wide association study (GWAS) for PCOS and expression quantitative trait loci (eQTL) data to identify genes that were pleiotropically associated with PCOS. We performed separate SMR analysis using eQTL data in the ovary and whole blood. Results: Although no genes showed significant pleiotropic association with PCOS after correction for multiple testing, some of the genes exhibited suggestive significance. RPS26 showed the strongest suggestive pleiotropic association with PCOS in both SMR analyses (β[SE]=0.10[0.03], PSMR=1.72*10-4 for ovary; β[SE]=0.11[0.03], PSMR=1.40*10-4 for whole blood). PM20D1 showed the second strongest suggestive pleiotropic association with PCOS in the SMR analysis using eQTL data for the whole blood, and was also among the top ten hit genes in the SMR analysis using eQTL data for the ovary. Two other genes, including CTC-457L16.2 and NEIL2, were among the top ten hit genes in both SMR analyses. Conclusion: We identified multiple genes that were potentially involved in the pathogenesis of PCOS. Our findings provided helpful leads to a better understanding of the mechanisms underlying PCOS, and revealed potential therapeutic targets for the effective treatment of PCOS.

Maternal polycystic ovary syndrome and offspring birth weight: a Mendelian randomization study

2021 ◽  
Author(s):  
Yuexin Gan ◽  
Donghao Lu ◽  
Chonghuai Yan ◽  
Jun Zhang ◽  
Jian Zhao
Keyword(s):  
Birth Weight ◽  
Polycystic Ovary Syndrome ◽  
Causal Relationship ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
Causal Effect ◽  
Sensitivity Analyses ◽  
European Ancestry ◽  
Ovary Syndrome ◽  
Genetic Instruments

Abstract Background Observational associations between maternal polycystic ovary syndrome (PCOS) and offspring birth weight (BW) have been inconsistent and the causal relationship is still uncertain. Objective We conducted a two-sample Mendelian randomization (MR) study to estimate the causal effect of maternal PCOS on offspring BW. Methods We constructed genetic instruments for PCOS with 14 single nucleotide polymorphisms (SNPs) which were identified in the genome-wide association study (GWAS) meta-analysis including 10,074 PCOS cases and 103,164 controls of European ancestry from seven cohorts. The genetic associations of these SNPs with the offspring BW were extracted from summary statistics estimated by the Early Growth Genetics (EGG) consortium (n = 406,063 European-ancestry individuals) using the weighted linear model (WLM), an approximation method of structural equation model (SEM), which separated maternal genetic effects from fetal genetic effects. We used a two-sample MR design to examine the causal relationship between maternal PCOS and offspring BW. Sensitivity analyses were conducted to assess the robustness of the MR results. Results We found little evidence for a causal effect of maternal PCOS on offspring BW (-6.1 g, 95% confidence interval [CI]: -16.8 g, 4.6 g). Broadly consistent results were found in the sensitivity analyses. Conclusion Despite the large scale of this study, our results suggested little causal effect of maternal PCOS on offspring BW. MR studies with a larger sample size of women with PCOS or more genetic instruments that would increase the variation of PCOS explained are needed in the future.

Body Mass Index and Polycystic Ovary Syndrome: A 2-Sample Bidirectional Mendelian Randomization Study

2020 ◽  
Vol 105 (6) ◽  
pp. 1778-1784 ◽  
Author(s):  
Yalin Zhao ◽  
Yuping Xu ◽  
Xiaomeng Wang ◽  
Lin Xu ◽  
Jianhua Chen ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
East Asian ◽  
Mr Studies ◽  
Genome Wide Association Studies ◽  
Ovary Syndrome ◽  
Asian Populations

Abstract Background Observational studies have shown a link between elevated body mass index (BMI) and the risk of polycystic ovary syndrome (PCOS). While Mendelian randomization (MR) studies in Europeans have suggested a causal role of increased BMI in PCOS, whether the same role is suggested in Asians has yet to be investigated. We used MR studies to infer causal effects using genetic data from East Asian populations. Methods and Findings We performed a 2-sample bidirectional MR analysis using summary statistics from genome-wide association studies (GWAS) of BMI (with up to 173 430 individuals) and PCOS (4386 cases and 8017 controls) in East Asian populations. Seventy-eight single nucleotide polymorphisms (SNPs) correlated with BMI were selected as genetic instrumental variables to estimate the causal effect of BMI on PCOS using the inverse-variance weighted (IVW) method. To test the reliability of the results, further sensitivity analyses included MR–Egger regression, weighted median estimates, and leave-one-out analysis. The IVW analysis indicated a significant association between high BMI and the risk of PCOS (odds ratio per standard deviation higher BMI, 2.208; 95% confidence interval 1.537 to 3.168, P = 1.77 × 10–5). In contrast, the genetic risk of PCOS had no significant effect on BMI. Conclusions The results of our bidirectional MR study showed that an increase in BMI causes PCOS, while PCOS does not cause an increased BMI. This study provides further genetic support for a link between BMI and PCOS. Further research is needed to interpret the potential mechanisms of this association.

scholarly journals Polycystic Ovary Syndrome Susceptibility Loci Inform Disease Etiological Heterogeneity

2021 ◽  
Vol 10 (12) ◽  
pp. 2688
Author(s):  
Yanfei Zhang ◽  
Vani C. Movva ◽  
Marc S. Williams ◽  
Ming Ta Michael Lee
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
Strong Association ◽  
Sex Hormone Binding Globulin ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Insulin Resistant ◽  
Disease Outcomes ◽  
Unclear Etiology

Polycystic ovary syndrome (PCOS) is a complex disorder with heterogenous phenotypes and unclear etiology. A recent phenotypic clustering study identified metabolic and reproductive subtypes of PCOS. We hypothesize that the heterogeneity of PCOS manifestations reflects different mechanistic pathways and can be identified using a genetic approach. We applied k-means clustering to categorize the genome-wide significant PCOS variants into clusters based on their associations with selected quantitative traits that likely reflect PCOS etiological pathways. We evaluated the association of each cluster with PCOS-related traits and disease outcomes. We then applied Mendelian randomization to estimate the causal effects between the traits and PCOS. Three categories of variants were identified: adiposity, insulin resistant, and reproductive. Significant associations were observed for variants in the adiposity cluster with body mass index (BMI), waist circumference and breast cancer, and variants in the insulin-resistant cluster with fasting insulin, glucose values, and homeostatic model assessment of insulin resistance (HOMA-IR). Sex hormone binding globulin (SHBG) has strong association with all three clusters. Mendelian randomization suggested a causal role of BMI and SHBG on PCOS. No causal associations were observed for PCOS on disease outcomes.

scholarly journals Assessment of Bidirectional Relationships Between Polycystic Ovary Syndrome and Periodontitis: Insights From a Mendelian Randomization Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Pengfei Wu ◽  
Xinghao Zhang ◽  
Ping Zhou ◽  
Wan Zhang ◽  
Danyang Li ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Odds Ratio ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
Causal Effect ◽  
Sensitivity Analyses ◽  
Ovary Syndrome ◽  
Unit Increase ◽  
Log Odds ◽  
Mr Study

BackgroundObservational studies have indicated an association between polycystic ovary syndrome (PCOS) and periodontitis, but it is unclear whether the association is cofounded or causal. We conducted a two-sample Mendelian randomization (MR) study to investigate the bidirectional relationship between genetically predicted PCOS and periodontitis.MethodsFrom two genome-wide association studies we selected 13 and 7 single nucleotide polymorphisms associated with PCOS and periodontitis, respectively, as instrumental variables. We utilized publicly shared summary-level statistics from European-ancestry cohorts. To explore the causal effect of PCOS on periodontitis, 12,289 cases of periodontitis and 22,326 controls were incorporated, while 4,890 cases of PCOS and 20,405 controls in the reverse MR. Inverse-variance weighted method was employed in the primary MR analysis and multiple sensitivity analyses were implemented.ResultsGenetically determined PCOS was not causally associated with risk of periodontitis (odds ratio 0.97; 95% confidence interval 0.88–1.06; P = 0.50) per one-unit increase in the log-odds ratio of periodontitis. Similarly, no causal effect of periodontitis on PCOS was shown with the odds ratio for PCOS was 1.17 (95% confidence interval 0.91–1.49; P = 0.21) per one-unit increase in the log-odds ratio of periodontitis. Consistent results were yielded via additional MR methods. Sensitivity analyses demonstrated no presence of horizontal pleiotropy or heterogeneity.ConclusionThe bidirectional MR study couldn’t provide convincing evidence for the causal relationship between genetic liability to PCOS and periodontitis in the Europeans. Triangulating evidence across further observational and genetic-epidemiological studies is necessary.

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