ObjectiveThyroid nodules are an exceptionally common thyroid disorder. Past studies suggested a possible link between thyroid diseases and breast neoplasms. However, few studies have delved into the causal relationship between thyroid nodules and breast neoplasms. This study conducted a Mendelian randomization (MR) analysis to further investigate the causal relationship between them. MethodsThis study was conducted using data sourced from genome-wide association study (GWAS) summary datasets. The study focused on thyroid nodules, benign breast tumors, and malignant breast cancers as the research objects, and relevant single nucleotide polymorphisms (SNPs) were selected as instrumental variables (IVs). The inverse-variance weighted (IVW) was primarily used to assess the causal relationship between thyroid nodules and breast neoplasms. Cochran’s Q test was employed to detect heterogeneity, while MR-Egger intercept and MR-PRESSO were used to test for pleiotropy. Sensitivity analysis was conducted using the leave-one-out method. ResultsThere was a significant causal relationship between thyroid nodules and malignant neoplasm of breast (OR=0.88, 95%CI 0.83 to 0.95, P<0.01), with no evidence of reverse causality between them (OR=1.01, 95%CI 0.99 to 1.03, P=0.16). No causal relationship was found between thyroid nodules and benign neoplasm of breast, as indicated by both forward MR analysis (OR=0.97, 95%CI 0.89 to 1.06, P=0.51) and reverse MR analysis (OR=0.97, 95%CI 0.92 to 1.04, P=0.40). Sensitivity analyses suggested that the study findings were accurate and reliable. ConclusionThe present study identifies thyroid nodules as a potential protective factor for malignant neoplasm of breast.
Objective To explore the causal relationship between breast cancer and rotator cuff injury using bidirectional two-sample Mendelian randomization. Methods Instrumental variables for breast cancer and rotator cuff injury were extracted from published genome-wide association study data. The positive study used breast cancer as the exposure and rotator cuff injury as the outcome, with single nucleotide polymorphisms (SNPs) closely associated with both breast cancer and rotator cuff injury as genetic instrumental variables. The reverse study used rotator cuff injury as the exposure and breast cancer as the outcome, with SNPs closely associated with both breast cancer and rotator cuff injury as genetic instrumental variables. Bidirectional MR analysis was conducted using five models: inverse variance weighted (IVW), simple model, weighted median, weighted model, and MR-Egger to assess the causal relationship between breast cancer and rotator cuff injury. Cochran Q test was used to detect heterogeneity, MR-Egger to detect horizontal pleiotropy, and leave-one-out method for sensitivity analysis to ensure the robustness of the results. Results A total of 51 SNPs closely associated with breast cancer were included in the forward study. The results indicated a positive causal association between breast cancer and an increased risk of rotator cuff injury [IVW: odds ratio=1.08, 95% confidence interval (1.02, 1.12), P=0.014], with no evidence of heterogeneity in the causal relationship between breast cancer and rotator cuff injury (P>0.05). Horizontal pleiotropy test results showed no horizontal pleiotropy in the SNPs (P>0.05). Leave-one-out test results did not detect any SNP with a large impact on the results. In the reverse study, a total of 3 SNPs related to rotator cuff injury were included as instrumental variables. There was no strong evidence that rotator cuff injury had a causal effect on breast cancer incidence [IVW: odds ratio=0.95, 95% confidence interval (0.86, 1.05), P=0.334]. Conclusions There is a potential causal association between breast cancer and rotator cuff injury. Therefore, it is suggested to increase the screening for rotator cuff injury in breast cancer patients.
Objective To investigate the causal effect of coronavirus disease 2019 (COVID-19) on idiopathic pulmonary fibrosis (IPF). Methods Genome-wide association studies (GWAS) data were sourced from the COVID-19 Host Genetics Initiative and published research. We employed: ① linkage disequilibrium score regression to estimate heritability of individual traits and genetic correlations between COVID-19 and IPF; ② multi-trait analysis of GWAS to identify genetic loci associated with COVID-19 and IPF; ③ Mendelian randomization (MR) to assess causal effect of COVID-19 on IPF; ④ colocalization analysis to identify shared causal variants. Results ① Three COVID-19 phenotypes showed significant positive genetic correlations with IPF (P<0.05); ② Multi-trait analysis of GWAS identified loci jointly associated with COVID-19 and IPF; ③ MR indicated that COVID-19 hospitalization may increase IPF risk (P=0.006); ④ Two causal variants were identified: rs12585036 (posterior probability>0.8, mapped to ATP11A) and rs12610495 (posterior probability>0.8, mapped to DPP9). Conclusions COVID-19 hospitalization may increase IPF risk through inflammatory pathways, providing new insights for managing COVID-19-related pulmonary diseases.
Objective To investigate the potential causal associations between 731 immune cell traits and atherosclerosis by Mendelian randomization (MR) analysis. Methods Using single nucleotide polymorphisms (SNPs) as instrumental variables, genome-wide association study (GWAS) summary statistics (GCST90001391 to GCST90002121) for 731 immune cell traits were obtained from the GWAS Catalog database, and the atherosclerosis dataset (finn-b-I9_CORATHER) was retrieved from the IEU database for MR analysis. The inverse variance weighted method, MR-Egger regression, weighted median, simple mode, and weighted mode approaches were employed to estimate the causal effects between the 731 immune cell traits and atherosclerosis, using odds ratio (OR) with 95% confidence interval (CI) as the effect size. Cochran Q test was used to assess heterogeneity. Horizontal pleiotropy was evaluated using the MR-Egger intercept test and the MR-PRESSO method. Leave-one-out analysis was conducted to examine the sensitivity of the causal estimates to individual SNPs. Results MR analysis revealed potential causal associations between 24 immune cell traits and atherosclerosis (P<0.05). Among them, human leucocyte antigen (HLA)-DR on plasmacytoid dendritic cells (DC) [OR=1.035, 95%CI (1.016, 1.054), P<0.001] and hematopoietic stem cell absolute count (HSCAC) [OR=1.049, 95%CI (1.021, 1.077), P<0.001] showed significant positive causal associations with atherosclerosis (P≤0.001), whereas CD86 on CD62L+ myeloid DC [OR=0.953, 95%CI (0.926, 0.981), P=0.001] exhibited a significant negative causal association with atherosclerosis (P≤0.001). The results of Cochran Q test, MR-Egger regression, and MR-PRESSO indicated P-values>0.05, suggesting no evidence of heterogeneity or horizontal pleiotropy in the causal estimates for these three immune cell traits. Reverse MR analysis, using the 24 immune cell traits as outcome variables, showed no evidence of causal association (P>0.05), supporting a unidirectional causal relationship from immune cells to atherosclerosis. Conclusion HLA-DR on plasmacytoid DC and HSCAC may serve as risk factors for atherosclerosis, while CD86 on CD62L+ myeloid DC may play a protective role against atherosclerosis.
Objective To explore the causal association between obstructive sleep apnea (OSA) and venous thromboembolism (VTE). Methods Using the summary statistical data from the FinnGen biological sample library and IEU OpenGWAS database, the relationship between OSA and VTE, including deep vein thrombosis (DVT) and pulmonary embolism, was explored through Mendelian randomization (MR) method, with inverse variance weighted (IVW) as the main analysis method. Results The results of univariate MR analysis using IVW method showed that OSA was associated with VTE and pulmonary embolism (P<0.05), with odds ratios and 95% confidence intervals of 1.204 (1.067, 1.351) and 1.352 (1.179, 1.544), respectively. There was no correlation with DVT (P>0.05). Multivariate MR analysis showed that after adjustment for confounding factors (smoking, diabetes, obesity and cancer), OSA was associated with VTE, DVT and pulmonary embolism (P<0.05), with odds ratios and 95% confidence intervals of 1.168 (1.053, 1.322), 1.247 (1.064, 1.491) and 1.158 (1.021, 1.326), respectively. Conclusion OSA increases the risk of VTE, DVT, and pulmonary embolism.
Objective To explore the relationship between the gut microbiome (GM) and psoriasis using a two-sample two-way Mendelian randomization (MR) approach. Methods The forward analysis uses the gut microbiota as the exposure factor, and its genetic data are derived from the genome-wide association study dataset published by the MiBioGen consortium. Psoriasis was used as the outcome variable, and its genetic data were obtained from the UK Biobank. The reverse MR analysis, on the other hand, took psoriasis as the exposure and the specific gut microbiota taxonomic units identified in the forward analysis as the outcome variable. MR analysis was conducted using maximum likelihood, MR Egger regression, weighted median, inverse variance weighting (IVW), and weighted models to study the causal relationship between the gut microbiota and psoriasis. Then, sensitivity analyses including horizontal pleiotropy test, Cochran’s Q test, and leave-one-out analysis were used to evaluate the reliability of the results. Results A total of 51 single nucleotide polymorphisms from 5 fungi were included in the forward study. The forward IVW analysis results showed that, the class Mollicutes [odds ratio (OR)=1.003, 95% confidence interval (CI) (1.001, 1.006), P=0.004], genus Lachnospiraceae FCS020 group [OR=1.003, 95%CI (1.000, 1.006), P=0.041], and phylum Tenericutes [OR=1.003, 95%CI (1.001, 1.006), P=0.004] were causally associated with an increased risk of psoriasis. The family Victivallaceae [OR=0.998, 95%CI (0.997, 1.000), P=0.005] and order Pasteurellales [OR=0.998, 95%CI (0.996, 1.000), P=0.047] were also linked to a decreased risk of psoriasis. The results of the sensitivity analysis were robust. There was no evidence of a reverse causal relationship from psoriasis to the identified bacterial taxa found in the results of reverse MR analysis results. Conclusions The abundance of three species, class Mollicutes, genus Lachnospiraceae and phylum Tenericutes, may increase the risk of psoriasis. The abundance of two species, family Victivallaceae and order Pasteurellales may reduce the risk of psoriasis. These results provide new directions for the prevention and treatment of psoriasis in the future, but further research is needed to explore how the aforementioned microbiome affects the progression of psoriasis.
Objective To analyze the causal relationship between gut microbiota and tic disorder based on Mendelian randomization (MR). Methods A total of 196 known microbiota (9 phyla, 16 classes, 20 orders, 32 families, and 119 genera) in the human intestinal microbiota dataset downloaded from the MiBioGen database were selected as the exposure factors, and the dataset of tic disorder (finn-b-KRA_PSY_TIC) containing 172 patients and 218620 controls was downloaded from the genome-wide association study database as the outcome variable. Inverse variance weighted was used as the main analysis method, and the causal relationship between gut microbiota and tic disorder was evaluated using odds ratio (OR) and its 95% confidence interval (CI). Horizontal pleiotropy was tested by MR-Egger intercept and MR-PRESSO global test, heterogeneity was assessed by Cochran’s Q test, and sensitivity analysis was performed by leave-one-out method. Results Inverse variance weighted results showed that the Family Rhodospirillaceae [OR=0.398, 95%CI (0.191, 0.831), P=0.014], Order Rhodospirillales [OR=0.349, 95%CI (0.164, 0.743), P=0.006], and Parasutterella [OR=0.392, 95%CI (0.171, 0.898), P=0.027] had negative causal relationships with tic disorder. The Genus Lachnospira [OR=8.784, 95%CI (1.160, 66.496), P=0.035] and Candidatus Soleaferrea [OR=2.572, 95%CI (1.161, 5.695), P=0.020] had positive causal relationships with tic disorder. In addition, MR-Egger intercept and MR-PRESSO global test showed no horizontal pleiotropy, Cochran’s Q test showed no heterogeneity, and leave-one-out sensitivity analysis showed the results were stable. Conclusions A causal relationship exists between gut microbiota and tic disorder. The Family Rhodospirillaceae, Order Rhodospirillales, and Parasutterella are associated with a decreased risk of tic disorder, while the Genus Lachnospira and Candidatus Soleaverea can increase the risk of tic disorder.
Objective To investigate the potential causal relationship between specific oral microbiota and peptic ulcer disease (PUD) using a Mendelian randomization (MR) approach. Methods The genome-wide association study (GWAS) data from East Asian populations was utilized to perform a two-sample MR analysis to determine the causal relationship between oral microbiota and PUD. The MR analysis was primarily conducted using the inverse-variance weighted (IVW) method, supplemented by MR-Egger and weighted median methods. Heterogeneity and pleiotropy were assessed, and the leave-one-out method was employed to evaluate the stability of the MR results. Results There was a complex association between specific bacterial genera of the oral microbiota and PUD. Prevotella was found to potentially promote duodenal ulcers while exerting a protective effect against gastric ulcers. Campylobacter and Streptococcus demonstrated differing effects on gastric and duodenal ulcers. Furthermore, Fusobacterium and Haemophilus_A were positively associated with peptic ulcers, suggesting an increased risk of gastroduodenal ulcer development. Conclusion This study explores the causal relationship between oral microbiota and PUD, providing new insights into the prevention and treatment of PUD mediated by oral microbiota.
Objective To explore the causal relationship between heart failure and memory impairment using a two-sample two-way Mendelian randomization (MR) approach. Methods The data for this study was sourced from the genome-wide association studies database and analyzed using a two-sample two-way MR method. In the forward study, the exposure factor was heart failure, and the outcome was memory loss. In the reverse study, the exposure factor was memory loss, and the outcome was heart failure. The instrumental variables were selected, and the causal relationship between heart failure and memory impairment was mainly analyzed using the inverse variance weighted method (IVW). At the same time, MR Egger regression, weighted mode, weighted median estimator, and simple mode were used to supplement the IVW analysis results. Cochran’s Q test was used to assess statistical heterogeneity among single nucleotide polymorphisms (SNPs), the intercept term of MR Egger regression was used to evaluate the presence of horizontal pleiotropy among SNPs, and the leave one method was used to evaluate the impact of individual SNPs on IVW analysis results. To avoid reverse causality, memory loss was identified as the exposure factor and heart failure as the outcome event, and reverse MR analysis was conducted. Results A total of 9 SNPs strongly associated with heart failure. The IVW analysis results [β=−0.81, odds ratio (OR)=0.45, 95% confidence interval (CI) (0.27, 0.73), P=0.0015] showed a negative causal relationship between heart failure and memory impairment. The results of weighted median estimator [β=−0.92, OR=0.40, 95%CI (0.21, 0.77), P=0.0059] and weighted mode [β=−1.16, OR=0.31, 95%CI (0.12, 0.83), P=0.047] showed a negative causal relationship between heart failure and memory impairment. Although MR Egger regression [β=−1.19, OR=0.30, 95%CI (0.08, 1.21), P=0.14] and simple mode [β=−0.32, OR=0.72, 95%CI (0.26, 2.01), P=0.55] analysis showed that heart failure did not increase the risk of memory loss. Cochran’s Q test and prompt yielded robust and non-heterogeneous results (P=0.890), while the intercept assessment of MR Egger regression indicated stable results without horizontal pleiotropy (P=0.578). Reverse MR analysis revealed that there was no causal relationship between exposure factor memory impairment and outcome heart failure [β=3.71×10−3, OR=1.00, 95%CI (0.96, 1.03), P=0.85]. Conclusions There is a negative correlation between genetic prediction of heart failure and the risk of memory loss, which is inconsistent with clinical observations and previous research conclusions. Observational associations may be overestimated or misled, which is also one of the core values of MR research.
Objective To explore the causal relationship between DNA copy number and the risk of Alzheimer disease (AD) using Mendelian randomization (MR) methods, as well as to investigate the potential mediating effects of immune cells. Methods The data related to 731 immune cell types, DNA copy number and AD from the Genome-Wide Association Study database were collected. A bidirectional MR analysis was conducted to explore the causal relationship between DNA copy number and AD, primarily using the inverse-variance weighted method and MR-Egger method. Additionally, a two-step mediation analysis was performed to identify potential mediating immune cells. Results A total of 134 single-nucleotide polymorphisms were included for bidirectional MR analysis. The MR methods results showed a negative causal relationship between DNA copy number and the risk of AD (P<0.05), while the reverse analysis showed no statistical significance. Sensitivity analysis confirmed the robustness of these results. The mediation analysis indicated that the immune cell phenotype (HVEM on CD45RA-CD4+) partially mediated the causal relationship between DNA copy numbers and the risk of AD, with a mediation effect proportion of 4.6%. Conclusion An increase in DNA copy numbers may reduce the risk of AD, and immune cells partially mediate this causal relationship.