Is there a shared genetic basis and causal relationship between polycystic ovary syndrome and psychiatric disorders: evidence from a comprehensive genetic analysis.
Is there a shared genetic basis or causal relationship between polycystic ovary syndrome (PCOS) and a range of psychiatric disorders?
Genome-wide genetic correlation analysis and bidirectional Mendelian randomisation (MR) analysis suggest no shared genetic basis or causal relationship of PCOS with psychiatric disorders including depression, anxiety, schizophrenia and bipolar disorder.
The comorbidity of PCOS with a range of psychiatric disorders has been recognised by epidemiological investigations yet a causal relationship remains unclear. Understanding of how genetic variations contribute to the susceptibility to PCOS and psychiatry disorders could provide meaningful insights into disease mechanisms.
We incorporated summary statistics from the hitherto largest genome-wide association studies (GWAS) conducted in subjects with PCOS (Ncase = 9322) or four common psychiatric disorders (depression, anxiety, schizophrenia and bipolar disorder) (Ncase ranges between 20 352 and 246 363), all of European ancestry.
We quantified pairwise genetic correlation to understand the shared genetic predisposition using genome-wide genetic variants. We performed a two-sample bidirectional Mendelian randomisation analysis to make causal inferences, using GWAS-identified 102 depression-associated genetic instruments, 6 anxiety-associated instruments, 179 schizophrenia-associated instruments, 30 bipolar disorder-associated instruments and 14 PCOS-associated instruments. We performed several important sensitivity analyses examining sex hormones and utilising different MR approaches.
We did not find significant genetic correlations (rg) for PCOS with psychiatric disorders (depression (rg = 0.09, P = 0.06), anxiety (rg = 0.15, P = 0.06), schizophrenia (rg = 0.02, P = 0.59), bipolar disorder (rg = 0.08, P = 0.19)). Genetic predisposition to PCOS was associated with depression in some of our MR approaches, without any evidence of pleiotropy (PMR-Egger intercept = 0.60). However, this weak PCOS-depression causal association attenuated to null after adjusting for BMI (1.00 (0.99-1.02), P = 0.28). On the contrary, we did not observe any statistically significant association between genetically instrumented PCOS with other psychiatric disorders (anxiety 1.01 (0.93-1.08), P = 0.89; schizophrenia 1.03 (0.97-1.10), P = 0.37; bipolar disorder 0.96 (0.90-1.03), P = 0.26). Bidirectional MR did not reveal an effect by which mental health conditions influenced PCOS risk.
Despite our study being the largest in sample size of its kind, the overall negligible causal relationship between PCOS and psychiatric outcomes may reflect a true null association but may also be due to a true effect too modest to be detected. We were not able to investigate PCOS subtypes and used an overall heterogenous PCOS sample due to limited availability of data.
Our comprehensive analysis does not identify a shared genetic basis of PCOS with psychiatric diseases. Although genetically instrumented PCOS appears to correlate with depression, such an effect is likely mediated by BMI, suggesting a role of non-genetic exposures underlying the observed comorbidity.
The work was supported by the Swedish Medical Research Council 2018-02435 (to E.S.V.), Novo Nordisk Foundation NNF19OC0056647 (to E.S.V.), the Adlerbert Research Foundation (to E.S.V.), the SRP in Diabetes at Karolinska Institutet (to E.S.V.) and the Swedish Research Council VR 2018-02247 (to X.J.). The funders had no influence on the data collection, analyses or conclusions of the study. No conflict of interests to declare.
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Jiang X
，Deng Q
，Stener-Victorin E
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Causal relationship between C-reactive protein and ischemic stroke caused by atherosclerosis: A Mendelian randomization study.
This study investigates the association between C-reactive protein (CRP) and ischemic stroke caused by large artery atherosclerosis (LAA).
Five Mendelian Randomization (MR) methodologies were used for two-sample analyses: Inverse Variance Weighting (IVW), MR-Egger regression, Weighted Median (WM), Simple Mode, and Weighted Mode. CRP exposure data were obtained from aggregated summary statistics from a meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry (n = 343,524; UK Biobank). Stroke data were used as the outcome, with specific dataset details for relevant subtypes (cases = 40,585, controls = 406,111).
In the CRP GWAS dataset, selected single nucleotide polymorphisms (SNPs) as instrumental variables (IVs) showed genome-wide significance and a causal relationship with CRP, particularly in relation to LAA stroke. IVW indicated a robust causal connection between CRP and LAA stroke (Beta = 0.151, SE = 0.055, P = 0.006). The WM approach supported this relationship (Beta = 0.176, SE = 0.082, P = 0.033). However, MR-Egger regression suggested a potential absence of a causal link (Beta = 0.098, SE = 0.077, P = 0.206), with minimal influence from horizontal pleiotropy (Intercept = 0.0029; P = 0.317). The Simple mode found no significant association (Beta = 0.046, SE = 0.217, P = 0.834), while the Weighted mode revealed a significant causal association (Beta = 0.138, SE = 0.059, P = 0.020) between CRP and LAA stroke.
MR analysis provides evidence for a potential causal relationship between CRP and an increased risk of LAA stroke.
Yang T
，Xie W
，Hu F
，Cai B
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