Mendelian randomization-Egger Research Articles

Abstract 4443: Trans-population two-sample Mendelian randomization study of circulating metabolites and prostate cancer risk

Abstract While prostate cancer (PCa) is highly heritable, mechanisms underlying disease risk and PCa disparities are not well understood. Here, we conducted a two-sample Mendelian randomization (MR) to assess whether serum metabolites are causally associated with PCa risk in European, African, and Hispanic populations. MR analyses were performed on metabolite quantitative trait loci (mQTLs) for 250 metabolites quantified by untargeted mass spectroscopy via the Metabolon platform for 1,498 European and 1,740 African ancestry individuals from the Atherosclerosis Risk in Communities (ARIC) cohort and for 711 metabolites measured in 3,166 Hispanic individuals from the Hispanic Community Health Study/Study of Latinos (SOL). PCa GWAS summary statistics were obtained for men from European (122,188 cases, 604,640 controls), African (19,391 cases, 61,608 controls) and Hispanic (3,931 cases, 26,405 controls) populations from the PRACTICAL Consortium. Within each population, QTLs associated with metabolites at the genome-wide significance level (P<5x10-8) were included in instruments upon removing rare (minor allele frequency≤0.01) or correlated (R2≥0.2) SNPs calculated in ancestry-matched TOPMed populations. Inverse variance weighted (IVW) random effect models are presented as primary results. Sensitivity analyses were utilized to assess assumption violations (weighted mode, weighted median and MR egger). MR were conducted separately in each population, and fixed effect meta-analyses were conducted across population-specific MR results to identify trans-population associations. A false discovery rate was implemented to account for multiple testing. In total, 22, 4 and 1 metabolites significantly associated with PCa risk in Hispanic, European and African populations, respectively. Of these, 13 metabolites had a MR instrument in ≥1 population, 12 of which were significant following a trans-population meta-analysis, including 5 fatty acids, 3 lysophospholipids, 1 amino acid, 1 carbohydrate, 1 nucleotide and 1 xenobiotic. All fatty acids were associated with decreased PCa odds (2%-10%), as were 4 other metabolites (amino acid 3-methyoxytyrosine, nucleotide 5-methyluridine and lysophospholipids 1-archidonoyl-GPC (20:4n6) and 1-archidonoyl-GPE (20:4n6), 4%-9%). The 3 remaining metabolites, erythritol, 1-linoleoyl-GPE (18:2) and mannose, were found to increase PCa odds by 10%, 6% and 4%, respectively. Additional metabolite harmonization efforts are underway to conduct trans-population analyses metabolome-wide. This study provides evidence of associations between metabolites, such as fatty acids and lysophysopholipids, and PCa across diverse populations. These findings point to mechanisms that could inform preventive or therapeutic strategies pending functional investigations. Multivariable and bidirectional MR are ongoing to further assess findings. Citation Format: Harriett Fuller, Rebecca Rohde, Heather Highland, Jiayi Shen, Bing Yu, Eric Boerwinkle, Megan Grove, Kari E. North, David V. Conti, Christopher A. Haiman, Kristin Young, Burcu Darst. Trans-population two-sample Mendelian randomization study of circulating metabolites and prostate cancer risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4443.

Causal associations between gastroesophageal reflux disease and essential hypertension: A bidirectional Mendelian randomization study.

Clinical studies have reported that patients with gastroesophageal reflux disease (GERD) have a higher prevalence of hypertension. To performed a bidirectional Mendelian randomization (MR) analysis to investigate the causal link between GERD and essential hypertension. Eligible single nucleotide polymorphisms (SNPs) were selected, and weighted median, inverse variance weighted (IVW) as well as MR egger (MR-Egger) regression were used to examine the potential causal association between GERD and hypertension. The MR-Pleiotropy RESidual Sum and Outlier analysis was used to detect and attempt to reduce horizontal pleiotropy by removing outliers SNPs. The MR-Egger intercept test, Cochran's Q test and "leave-one-out" sensitivity analysis were performed to evaluate the horizontal pleiotropy, heterogeneities, and stability of single instrumental variable. IVW analysis exhibited an increased risk of hypertension (OR = 1.46, 95%CI: 1.33-1.59, P = 2.14E-16) in GERD patients. And the same result was obtained in replication practice (OR = 1.002, 95%CI: 1.0008-1.003, P = 0.000498). Meanwhile, the IVW analysis showed an increased risk of systolic blood pressure (β = 0.78, 95%CI: 0.11-1.44, P = 0.021) and hypertensive heart disease (OR = 1.68, 95%CI: 1.36-2.08, P = 0.0000016) in GERD patients. Moreover, we found an decreased risk of Barrett's esophagus (OR = 0.91, 95%CI: 0.83-0.99, P = 0.043) in essential hypertension patients. We found that GERD would increase the risk of essential hypertension, which provided a novel prevent and therapeutic perspectives of essential hypertension.

Evidence for Genetic Causal Relationships Between Multiple Immune-Mediated Inflammatory Diseases and Age-Related Macular Degeneration: A Univariable and Multivariable Mendelian Randomization Study.

With the global aging population on the rise, age-related macular degeneration (AMD) poses a growing healthcare burden. Prior research hints at immune-mediated inflammatory diseases (IMIDs) potentially elevating AMD risk via diverse mechanisms. However, causality remains disputed as a result of confounding factors. Hence, our Mendelian randomization (MR) study aims to untangle this link, mitigating confounding effects to explore the IMID-AMD causal relationship. This study aims to investigate the causal relationship between IMIDs and AMD, providing new strategies for the prevention and treatment of AMD in clinical practice. This study was registered with PROSPERO, CRD42023469815. We obtained data on IMIDs and AMD from Genome-Wide Association Studies (GWAS) summary statistics and the FinnGen consortium. Rigorous selection steps were applied to screen for eligible instrumental single nucleotide polymorphisms (SNPs). We conducted univariate Mendelian randomization, inverse variance-weighted (IVW), weighted median, Mendelian randomization-Egger (MR-Egger), and multivariate Mendelian randomization (MVMR) analyses. Various sensitivity analysis methods were employed to assess pleiotropy and heterogeneity. The aim was to explore the causal relationships between IMIDs and AMD. The MR analysis revealed that Crohn's disease (CD) (IVW: odd ratios (OR) 1.05, 95%CI (confidence interval) 1.01-1.10, p = 0.007), rheumatoid arthritis (RA) (IVW: OR 1.09, 95%CI 1.04-1.15, p = 0.0001), and type1 diabetes (T1D) (IVW: OR 1.05, 95%CI 1.02-1.09, p = 0.001) were correlated with an elevated risk of AMD, while multiple sclerosis (MS) (IVW: OR 2.78E-18, 95%CI 2.23E-31 to 3.48E-05, p = 0.008) appeared to be protective against AMD. These findings were supported by an array of MR analysis methodologies and the MVMR approach. Our study results, based on MR, provide genetic evidence indicating a causal relationship between specific IMIDs and AMD. CD, RA, and T1D are factors increasing the risk of AMD, while MS may have a protective effect.

Bidirectional causal relationship between psychiatric disorders and osteoarthritis: A univariate and multivariate Mendelian randomization study.

Observational studies have shown associations between psychiatric disorders and osteoarthritis (OA). However, the causal impact of different psychiatric disorder types on specific sites of osteoarthritis remains unclear. This study aimed to comprehensively understand the potential causal associations between psychiatric disorders and osteoarthritis using Mendelian randomization (MR) analysis. We collected data from genome-wide association studies of knee osteoarthritis (KOA) (n=403,124), hip osteoarthritis (HOA) (n=393,873), osteoarthritis of the knee or hip (KHOA) (n=417,596), as well as three psychiatric disorders: bipolar disorder (n=41,917), major depressive disorder (n=170,756), and schizophrenia (n=76,755) among European populations. We applied bidirectional univariate and multivariate MR analyses, including inverse variance weighted, Mendelian randomization-Egger, weighted median, simple mode, and weighted mode. We considered p<.05 as a criterion for identifying potential evidence of association. Bonferroni correction was used for multiple tests. Our univariate MR analysis results demonstrated that bipolar disorder is a protective factor for KOA (OR=0.90, 95% CI=0.83 to 0.97, p=0.0048) and may also be protective for KHOA (p=0.02). Conversely, major depression has a positive causal effect on both KOA (OR=1.27; 95% CI=1.08 to 1.49; p=0.0036) and KHOA (OR=1.24; 95% CI=1.12 to 1.37; p=3.62×10-05 ). Furthermore, our analysis suggested that KHOA may be a risk factor for major depression (OR=1.06; 95% CI=1.00 to 1.12; p=0.0469) in reverse MR. After adjusting smoking (OR=1.46; 95% CI=1.19 to 1.65; p=0.0032) and body mass index (OR=1.44; 95% CI=1.09 to 1.81; p=8.56×10-04 ), the casual association between major depression and KHOA remained. Our study indicates that major depression is a great risk factor for KHOA, increasing the likelihood of their occurrence. However, further in-depth studies will be required to validate these results and elucidate the underlying molecular mechanisms.

The causal relationship between 41 inflammatory cytokines and hypothyroidism: bidirectional two-sample Mendelian randomization study.

Investigating the association between inflammatory cytokines and hypothyroidism remains challenging due to limitations in traditional observational studies. In this study, we employed Mendelian randomization (MR) to assess the causal relationship between 41 inflammatory cytokines and hypothyroidism. Inflammatory cytokines in 30,155 individuals of European ancestry with hypothyroidism and in a GWAS summary containing 8,293 healthy participants were included in the study for bidirectional two-sample MR analysis. We utilized inverse variance weighting (IVW), weighted median (WM), and Mendelian randomization-Egger (MR-Egger) methods. Multiple sensitivity analyses, including MR-Egger intercept test, leave-one-out analysis, funnel plot, scatterplot, and MR-PRESSO, were applied to evaluate assumptions. We found evidence of a causal effect of IL-7 and macrophage inflammatory protein-1β (MIP-1β) on the risk of hypothyroidism, and a causal effect of hypothyroidism on several cytokines, including granulocyte colony-stimulating factor (G-CSF), IL-13, IL-16, IL-2rα, IL-6, IL-7, IL-9, interferon-γ-inducible protein 10 (IP10), monokine induced by interferon (IFN)-γ (MIG), macrophage inflammatory protein-1β (MIP-1β), stem cell growth factors-β (SCGF-β), stromal cell derived factor-1α (SDF-1α), and tumor necrosis factor-α (TNF-α). Our study suggests that IL-7 and MIP-1β may play a role in the pathogenesis of hypothyroidism, and that hypothyroidism may induce a systemic inflammatory response involving multiple cytokines. These findings may have implications for the prevention and treatment of hypothyroidism and its complications. However, further experimental studies are needed to validate the causal relationships and the potential of these cytokines as drug targets.

Associations between lipid-lowering drugs and pregnancy and perinatal outcomes: a Mendelian randomization study.

Mounting evidence has indicated that maternal dyslipidemia is associated with adverse obstetric outcomes, and the actions of lipid-lowering drugs in pregnant women remain controversial. Hence, this study aimed to appraise the causal relationship of lipid-lowering drugs [hydroxymethylglutaryl-coenzyme reductase (HMGCR) inhibitors, PCSK9 inhibitors, and NPC1L1 inhibitors] with pregnancy and perinatal outcomes using drug-targeting Mendelian randomization analysis. As a proxy for lipid-lowering drug exposure, two genetic instruments were used: genetic variants within or near the gene linked to low-density lipoprotein cholesterol (LDL-C) and the expression of quantitative trait loci of the drug target gene. Effect estimates were calculated using the inverse variance weighting (IVW) method and summary data-based Mendelian randomization (SMR) method. Heterogeneity and pleiotropy were assessed by Mendelian randomization-Egger regression, the Cochran Q test, and MR-PRESSO analysis. HMGCR inhibitors were ascribed to a reduced risk of preeclampsia in both the IVW-MR method [odds ratio (OR) 0.583; 95% confidence interval (CI) 0.418-0.812; P = 0.001] and SMR analysis (OR 0.816; 95% CI 0.675-0.986; P = 0.036). The causal link between HMGCR inhibitors and offspring birthweight was statistically significant only in the analysis using the IVW method (OR, 0.879; 95% CI, 0.788-0.980; P = 0.020), and the combined results of the OR values supported the potential inhibitory effect of HMGCR inhibitors on offspring birthweight. Causal associations between lipid-lowering drugs and gestational diabetes, preterm birth, and congenital anomalies were not detected in either analysis. No causal associations were observed between lipid-lowering drugs and gestational diabetes, preterm birth or congenital anomalies, whereas genetically predicted HMGCR inhibition dramatically reduced the risk of preeclampsia but attenuated offspring birthweight.

Investigation of causal relationships between cortical structure and osteoporosis using two-sample Mendelian randomization.

The mutual interaction between bone characteristics and brain had been reported previously, yet whether the cortical structure has any relevance to osteoporosis is questionable. Therefore, we applied a two-sample bidirectional Mendelian randomization analysis to investigate this relationship. We utilized the bone mineral density measurements of femoral neck (n = 32,735) and lumbar spine (n = 28,498) and data on osteoporosis (7300 cases and 358,014 controls). The global surficial area and thickness and 34 specific functional regions of 51,665 patients were screened by magnetic resonance imaging. For the primary estimate, we utilized the inverse-variance weighted method. The Mendelian randomization-Egger intercept test, MR-PRESSO, Cochran's Q test, and "leave-one-out" sensitivity analysis were conducted to assess heterogeneity and pleiotropy. We observed suggestive associations between decreased thickness in the precentral region (OR = 0.034, P = 0.003) and increased chance of having osteoporosis. The results also revealed suggestive causality of decreased bone mineral density in femoral neck to declined total cortical surface area (β = 1400.230mm2, P = 0.003), as well as the vulnerability to osteoporosis and reduced thickness in the Parstriangularis region (β = -0.006mm, P = 0.002). Our study supports that the brain and skeleton exhibit bidirectional crosstalk, indicating the presence of a mutual brain-bone interaction.

No Causal Association Between Inguinal Hernia and Aortic Aneurysm Using Mendelian Randomization Analysis.

Aortic aneurysm (AA) is a serious disease that affects the aging population worldwide. Potential risk or associated factors, such as inguinal hernia, have been suggested by conventional studies. In the present study, summary statistics data for the associations of inguinal hernia were derived from a large genome-wide association study including 18,791 inguinal hernia cases and 93,955 controls in the UK Biobank. Corresponding data of AA were extracted from FinnGen, comprising 7603 cases and 317,899 controls in Finland. The causal association was assessed using Mendelian Randomization-Egger, weighted median, and inverse variance weighting methods, and compared with observational estimates previously published. Our analysis found no convincing causal effect between genetically predicted inguinal hernia and the risk of AA (odds ratio [OR] = 1.05, 95% confidence interval [CI] = 0.85-1.31, P = .65), abdominal aortic aneurysm (AAA, OR = 1.15, 95% CI = 0.92-1.46, P = .22), and thoracic aortic aneurysm (TAA, OR = 1.05, 95% CI = 0.85-1.30, P = .67). The results are in contrast to previous observational evidence suggesting a potentially common causal association between inguinal hernia and AA. Further research is needed to better understand the interplay between risk factors and their impact on aneurysm development.

Causal effect analysis of estrogen receptor associated breast cancer and clear cell ovarian cancer.

Evidence indicates that the risk of developing a secondary ovarian cancer (OC) is correlated with estrogen receptor (ER) status. However, the clinical significance of the relationship between ER-associated breast cancer (BC) and clear cell ovarian cancer (CCOC) remains elusive. Independent single nucleotide polymorphisms (SNPs) strongly correlated with exposure were extracted, and those associated with confounders and outcomes were removed using the PhenoScanner database. SNP effects were extracted from the outcome datasets with minor allele frequency > 0.01 as the filtration criterion. Next, valid instrumental variables (IVs) were obtained by harmonizing exposure and outcome effects and further filtered based on F-statistics (> 10). Mendelian randomization (MR) assessment of valid IVs was carried out using inverse variance weighted (IVW), MR Egger (ME), weighted median (WM), and multiplicative random effects-inverse variance weighted (MRE-IVW) methods. For sensitivity analysis and visualization of MR findings, a heterogeneity test, a pleiotropy test, a leave-one-out test, scatter plots, forest plots, and funnel plots were employed. MR analyses with all four methods revealed that CCOC was not causally associated with ER-negative BC (IVW results: odds ratio (OR) = 0.89, 95% confidence interval (CI) = 0.66-1.20, P = 0.431) or ER-positive BC (IVW results: OR = 0.99, 95% CI = 0.88-1.12, P = 0.901). F-statistics were computed for each valid IV, all of which exceeded 10. The stability and reliability of the results were confirmed by sensitivity analysis. Our findings indicated that CCOC dids not have a causal association with ER-associated BC. The absence of a definitive causal link between ER-associated BC and CCOC suggested a minimal true causal influence of ER-associated BC exposure factors on CCOC. These results indicated that individuals afflicted by ER-associated BC could alleviate concerns regarding the developing of CCOC, thereby aiding in preserving their mental well-being stability and optimizing the efficacy of primary disease treatment.

Genetic analyses identify brain imaging-derived phenotypes associated with the risk of amyotrophic lateral sclerosis.

Brain imaging-derived phenotypes have been suggested to be associated with amyotrophic lateral sclerosis in observational studies, but whether these associations are causal remains unclear. We aimed to assess the potential bidirectional causal associations between imaging-derived phenotypes and amyotrophic lateral sclerosis using bidirectional 2-sample Mendelian randomization analyses. Summary statistics for 469 imaging-derived phenotypes (33,224 individuals) and amyotrophic lateral sclerosis (20,806 cases and 59,804 controls) were obtained from 2 large-scale genome-wide association studies of European ancestry. We used the inverse-variance weighted Mendelian randomization method in the main analysis to assess the bidirectional associations between imaging-derived phenotypes and amyotrophic lateral sclerosis, followed by several sensitivity analyses for robustness validation. In the forward Mendelian randomization analyses, we found that genetically determined high orientation dispersion index in the right cerebral peduncle was associated with the increased risk of amyotrophic lateral sclerosis (odds ratio = 1.30, 95% confidence interval = 1.16-1.45, P = 2.26 × 10-6). In addition, the reverse Mendelian randomization analysis indicated that amyotrophic lateral sclerosis had no effect on 469 imaging-derived phenotypes. Mendelian randomization-Egger regression analysis showed no directional pleiotropy for the association between high orientation dispersion index in the right cerebral peduncle and amyotrophic lateral sclerosis, and sensitivity analyses with different Mendelian randomization models further confirmed these findings. The present systematic bidirectional Mendelian randomization analysis showed that high orientation dispersion index in the right cerebral peduncle might be the potential causal mediator of amyotrophic lateral sclerosis, which may provide predictive guidance for the prevention of amyotrophic lateral sclerosis. Further studies are warranted to replicate our findings and clarify the underlying mechanisms.

Evaluation of bidirectional relationships between risk preference and mood disorders: A 2-sample Mendelian randomization study

BackgroundRisk preference is often defined as the tendency to engage in risky activities. Increasing evidence shows that risk preference is associated with mood disorders. However, the causality and direction of this association are not clear. MethodsGenome-wide association study summary data of risk preference in 939,908 participants from UK Biobank and 23andMe were used to identify general risk preference. Data for 413,466 individuals taken from The Psychiatric Genomics Consortium were used to identify bipolar disorder (BP). Data for 807,553 individuals taken from The Psychiatric Genomics Consortium were used to identify major depressive disorder (MDD). The weighted median, inverse-variance weighting, and Mendelian randomization-Egger methods were used for the Mendelian randomization analysis to estimate a causal effect and detect directional pleiotropy. ResultsGWAS summary data were obtained from three combined samples, containing 939,908, 413,466 and 807,553 individuals of European ancestry. Mendelian randomization evidence suggested that risk preference increased the onset of BP, and BP also increased risk preference (P < 0.001). In contrast, there were no reliable results to describe the relationship of risk preference with MDD (P > 0.05). Furthermore, there was no significant relationship between MDD and risk preference. ConclusionUsing large-scale GWAS data, robust evidence supports a mutual relationship between risk preference and BP, but no relationship between risk preference and MDD was observed. This study indicates a potential marker for the early identification of MDD and BP. Additionally, it shows that reducing risk preferences for patients with BP may be a valuable intervention for treating BP.

Causal relationship between gut microbiota and myasthenia gravis: a bidirectional mendelian randomization study

BackgroundObservational studies have demonstrated an association between gut microbiota and myasthenia gravis; however, the causal relationship between the two still lacks clarity. Our goals are to ascertain the existence of a bidirectional causal relationship between gut microbiota composition and myasthenia gravis, and to investigate how gut microbiota plays a role in reducing the risk of myasthenia gravis.MethodsWe acquired gut microbiota data at the phylum, class, order, family, and genus levels from the MiBioGen consortium (N = 18,340) and myasthenia gravis data from the FinnGen Research Project (426 cases and 373,848 controls). In the two-sample Mendelian randomization analysis, we assessed the causal relationship between the gut microbiota and myasthenia gravis. We also conducted bidirectional MR analysis to determine the direction of causality. The inverse variance weighted, mendelian randomization-Egger, weighted median, simple mode, and weighted mode were used to test the causal relationship between the gut microbiota and severe myasthenia gravis. We used MR-Egger intercept and Cochran's Q test to assess for pleiotropy and heterogeneity, respectively. Furthermore, we utilized the MR-PRESSO method to evaluate horizontal pleiotropy and detect outliers.ResultsIn the forward analysis, the inverse-variance weighted method revealed that there is a positive correlation between the genus Lachnoclostridium (OR = 2.431,95%CI 1.047–5.647, p = 0.039) and the risk of myasthenia gravis. Additionally, the family Clostridiaceae1 (OR = 0.424,95%CI 0.202–0.889, p = 0.023), family Defluviitaleaceae (OR = 0.537,95%CI 0.290–0.995, p = 0.048), family Enterobacteriaceae (OR = 0.341,95%CI 0.135–0.865, p = 0.023), and an unknown genus (OR = 0.407,95%CI 0.209–0.793, p = 0.008) all demonstrated negative correlation with the risk of developing myasthenia gravis. Futhermore, reversed Mendelian randomization analysis proved a negative correlation between the risk of myasthenia gravis and genus Barnesiella (OR = 0.945,95%CI 0.906–0.985, p = 0.008).ConclusionOur research yielded evidence of a causality connection in both directions between gut microbiota and myasthenia gravis. We identified specific types of microbes associated with myasthenia gravis, which offers a fresh window into the pathogenesis of this disease and the possibility of developing treatment strategies. Nonetheless, more studies, both basic and clinical, are necessary to elucidate the precise role and therapeutic potential of the gut microbiota in the pathogenesis of myasthenia gravis.

The causal relationship between COVID-19 and seventeen common digestive diseases: a two-sample, multivariable Mendelian randomization study

ObjectivesIn clinical practice, digestive symptoms such as nausea, vomiting are frequently observed in COVID-19 patients. However, the causal relationship between COVID-19 and digestive diseases remains unclear.MethodsWe extracted single nucleotide polymorphisms associated with the severity of COVID-19 from summary data of genome-wide association studies. Summary statistics of common digestive diseases were primarily obtained from the UK Biobank study and the FinnGen study. Two-sample Mendelian randomization analyses were then conducted using the inverse variance-weighted (IVW), Mendelian randomization-Egger regression (MR Egger), weighted median estimation, weighted mode, and simple mode methods. IVW served as the primary analysis method, and Multivariable Mendelian randomization analysis was employed to explore the mediating effect of body mass index (BMI) and type 2 diabetes.ResultsMR analysis showed that a causal association between SARS-CoV-2 infection (OR = 1.09, 95% CI 1.01–1.18, P = 0.03), severe COVID-19 (OR = 1.02, 95% CI 1.00–1.04, P = 0.02), and COVID-19 hospitalization (OR = 1.04, 95% CI 1.01–1.06, P = 0.01) with gastroesophageal reflux disease (GERD). Mediation analysis indicated that body mass index (BMI) served as the primary mediating variable in the causal relationship between SARS-CoV-2 infection and GERD, with BMI mediating 36% (95% CI 20–53%) of the effect.ConclusionsWe found a causal relationship between SARS-CoV-2 infection and gastroesophageal reflux disease. Furthermore, we found that the causal relationship between SARS-CoV-2 infection and GERD is mainly mediated by BMI.

Do metabolic factors increase the risk of thyroid cancer? a Mendelian randomization study.

Epidemiological studies emphasize the link between metabolic factors and thyroid cancer. Using Mendelian randomization (MR), we assessed the possible causal impact of metabolic factors on thyroid cancer for the first time. Summary statistics for metabolic factors and thyroid cancer were obtained from published Genome-wide association studies. The causal relationships were assessed using the inverse-variance weighted (IVW) method as the primary method through a two-sample Mendelian Randomization (MR) analysis. To account for the potential existence of horizontal pleiotropy, four additional methods were employed, including Mendelian Randomization-Egger (MR-Egger), weighted median method (WM), simple mode, and weighted mode method. Given the presence of interactions between metabolic factors, a multivariable MR analysis was subsequently conducted. The results showed there was a genetic link between HDL level and protection effect of thyroid cancer using IVW (OR= 0.75, 95% confidence intervals [CIs] 0.60-0.93, p=0.01) and MR-Egger method (OR= 0.70, 95% confidence intervals [CIs] 0.50- 0.97, p=0.03). The results remained robust in multivariable MR analysis for the genetic link between HDL level and protection effect of thyroid cancer (OR= 0.74, 95% confidence intervals [CIs] 0.55-0.99, p=0.04). This study suggests a protection role for HDL on thyroid cancer. The study findings provide evidence for the public health suggestion for thyroid cancer prevention. HDL's potential as a pharmacological target needs further validation.

Causal Effects of YKL-40 on Ischemic Stroke and Its Subtypes: A 2-Sample Mendelian Randomization Study.

Background Chitinase-3 like protein 1 (CHI3L1, YKL-40)was reported to be implicated in the development of ischemic stroke, but whether the association between them was causal remained unclear. We conducted a 2-sample Mendelian randomization study to explore the associations of genetically determined plasma YKL-40 with ischemic stroke and its subtypes (large artery stroke, small vessel stroke, and cardioembolic stroke). Methods and Results Based on genome-wide association study dataof 3394 European-descent individuals, we selected 13 single-nucleotide polymorphisms associated with plasma YKL-40 as genetic instruments. Summary data about ischemic stroke and its subtypes were obtained from the Multiancestry Genome-wide Association Study of Stroke Consortium, involving 34 217 ischemic stroke cases and 406 111 controls of European ancestry. We used the inverse-variance weighted method followed by a series of sensitivity analyses to assess the causal associations of plasma YKL-40 with ischemic stroke and its subtypes. The primary analysis showed that genetically determined high YKL-40 levels were associated with increased risks of large artery stroke (odds ratio [OR], 1.08 [95% CI, 1.04-1.12]; P=1.73×10-4) and small vessel stroke (OR, 1.05 [95% CI, 1.01-1.09]; P=7.96×10-3) but not with ischemic stroke or cardioembolic stroke. Sensitivity analyses further confirmed these associations, and Mendelian randomization-Egger indicated no evidence of genetic pleiotropy. In addition, supplementary analysis based on the summary data from the Olink proximity extension assay cardiovascular I (Olink CVD-I) panel showed that high YKL-40 levels were positively associated with the risks of large artery stroke (OR, 1.15 [95% CI, 1.08-1.22]; P=4.16×10-6) but not with small vessel stroke. Conclusions Genetically determined high plasma YKL-40 levels were causal associated with increased risks of large artery stroke.

Trimethylamine N-oxide and risk of inflammatory bowel disease: A Mendelian randomization study.

A previous study suggested that inflammatory bowel disease (IBD) patients have low plasma levels of trimethylamine N-oxide (TMAO). In the present study, we examined this hypothesis using Mendelian randomization analysis. We used summary statistics data for single-nucleotide polymorphisms associated with plasma levels of TMAO, and the corresponding data for IBD from a genome-wide association meta-analysis of 59,957 individuals (25,042 diagnosed IBD cases, 34,915 controls). The association between genetically predicted plasma TMAO levels and IBD showed odds ratios (95% confidence interval [CI]) per 1 interquartile range increment (per 2.4 μmol/L) in TMAO levels were 0.91 (0.81-1.01, P = .084) for IBD, 0.88 (0.76-1.02, P = .089) for ulcerative colitis, 0.91 (0.79-1.05, P = .210) for Crohn disease. There was no evidence for pleiotropy based on the Mendelian randomization-Egger regression analyses (P-intercept = 0.669 for IBD). Further investigations would be needed to understand the causal relationship between TMAO and IBD.

Causal effect of vitamin D on myasthenia gravis: a two-sample Mendelian randomization study.

Observational studies suggest that vitamin D supplementation may be effective in preventing myasthenia gravis (MG). However, the causal relationship between circulating vitamin D levels and MG remains unclear. This study aimed to examine the genetic causality of circulating vitamin D and MG using data from large population-based genome-wide association studies (GWAS). SNPs (single nucleotide polymorphisms) strongly associated with exposure were selected. Two-sample Mendelian Randomization (MR) was performed with inverse variance weighting (IVW), MR-Egger (Mendelian randomization-Egger), weight median and MR-PRESSO (Mendelian randomization pleiotropy residual sum and outlier) methods. Heterogeneity was tested via IVW and MR-Egger. Pleiotropy was tested using MR-Egger intercept test and MR-PRESSO method. MR-PRESSO was also used to detect outliers. Leave-one-out analysis was used to identify SNPs with potential effect. Reverse MR analysis was also performed. In IVW, circulating vitamin D levels had no causal effect on MG [OR = 0.91 (0.67-1.22), p = 0.532] and MG had no causal effect on circulating vitamin D [OR = 1.01 (099-1.02), p = 0.663]. No heterogeneity or pleiotropy was observed (p > 0.05). Other MR methods also agreed with IVW results. This study provides the causal relationship between genetically predicted circulating vitamin D levels and MG and provides new insights into the genetics of MG.

Is there an association between daytime napping, cognitive function, and brain volume? A Mendelian randomization study in the UK Biobank

ObjectivesDaytime napping has been associated with cognitive function and brain health in observational studies. However, it remains elusive whether these associations are causal. Using Mendelian randomization, we studied the relationship between habitual daytime napping and cognition and brain structure. MethodsData were from UK Biobank (maximum n = 378,932 and mean age = 57 years). Our exposure (daytime napping) was instrumented using 92 previously identified genome-wide, independent genetic variants (single-nucleotide polymorphisms, SNPs). Our outcomes were total brain volume, hippocampal volume, reaction time, and visual memory. Inverse-variance weighted was implemented, with sensitivity analyses (Mendelian randomization-Egger and Weighted Median Estimator) for horizontal pleiotropy. We tested different daytime napping instruments to ensure the robustness of our results. ResultsUsing Mendelian randomization, we found an association between habitual daytime napping and larger total brain volume (unstandardized ß = 15.80 cm3 and 95% CI = 0.25; 31.34) but not hippocampal volume (ß = −0.03 cm3 and 95% CI = −0.13;0.06), reaction time (expß = 1.01 and 95% CI = 1.00;1.03), or visual memory (expß = 0.99 and 95% CI = 0.94;1.05). Additional analyses with 47 SNPs (adjusted for excessive daytime sleepiness), 86 SNPs (excluding sleep apnea), and 17 SNPs (no sample overlap with UK Biobank) were largely consistent with our main findings. No evidence of horizontal pleiotropy was found. ConclusionsOur findings suggest a modest causal association between habitual daytime napping and larger total brain volume. Future studies could focus on the associations between napping and other cognitive or brain outcomes and replication of these findings using other datasets and methods.

No causal effects between rosiglitazone and cardiovascular disease or risk factors: a Mendelian randomization study.

Although many observational studies have shown an association between rosiglitazone and cardiovascular disease (CVD) or risk factors, controversy remains. We conducted a Mendelian randomized (MR) study to explore whether rosiglitazone is causally related to CVDs and risk factors.Single-nucleotide polymorphisms associated with rosiglitazone at genome-wide significance were identified from a genome-wide association study of 337,159 European-ancestry individuals. Four treatments with rosiglitazone-associated single-nucleotide polymorphisms associated with a higher risk of CVDs were used as an instrumental variable (IV). Summary-level data for 7 CVDs and 7 risk factors were obtained from UK Biobank and consortia.We found no causal effects of rosiglitazone, either on CVDs or risk factors. The results were consistent in sensitivity analyses using Cochran's Q test, MR-PRESSO method, leave-one-out analysis and Mendelian randomization-Egger method (MR-Egger), and no directional pleiotropy was observed. Sensitivity analyses confirmed that rosiglitazone was not significantly associated with CVDs and risk factors.The findings from this MR study indicate no causal relationship between rosiglitazone and CVDs or risk factors. Hence, previous observational studies may have been biased.

The causal effects of age at menarche, age at first live birth, and estradiol levels on systemic lupus erythematosus: A two-sample Mendelian randomization analysis.

To determine whether age at menarche (AAM), age at first live birth (AFB), and estradiol levels are causally correlated with the development of systemic lupus erythematosus (SLE). A two-sample Mendelian randomization (MR) analysis was performed after data was collected from a dataset of genome-wide association studies (GWASs) related to SLE (as outcome), and from open access databases to find statistics related to AAM, AFB, and estradiol levels (as exposure). In our study, a negative causal correlation between AAM and SLE was confirmed by MR analysis (MR egger: beta = 0.116, SE = 0.948, p = 0.909; weighted median: beta = -0.416, SE = 0.192, p = 0.030; and IVW: beta = -0.395, SE = 0.165, p = 0.016). However, there were no genetic causal effects of AFB and the estradiol levels on SLE, based on the results of MR analysis as follows: AFB (MR egger: beta = - 2.815, SE = 1.469, p = 0.065; Weighted median: beta = 0.334, SE = 0.378, p = 0.377; and IVW: beta = 0.188, SE = 0.282, p = 0.505) and the estradiol levels (MR egger: beta = 0.139, SE = 0.294, p = 0.651; weighted median: beta = 0.063, SE = 0.108, p = 0.559; IVW: beta = 0.126, SE = 0.097, p = 0.192). Our findings revealed that AAM may be associated with increased risk of the development of SLE, while there were no such causal effects from AFB and estradiol levels.