Epidemiological studies link COVID-19 to increased cardiac arrest (CA) risk, but causality remains unclear due to potential confounding factors in observational studies . We conducted a Mendelian randomization (MR) analysis using genome-wide association study (GWAS) data, employing COVID-19-associated single nucleotide polymorphisms (SNPs) with significance values smaller than 5 × 10⁻⁸. We calculated inverse-variance weighted (IVW) MR estimates and performed sensitivity analyses using MR methods robust to horizontal pleiotropy. Additionally, a reverse MR analysis was conducted using CA-associated SNPs with significance values smaller than 1 × 10⁻⁵. Results indicated that infected COVID-19 (OR = 1.12, 95% CI = 0.47-2.67, = 0.79), hospitalized COVID-19 (OR = 1.02, 95% CI = 0.70-1.49, = 0.920), and severe respiratory COVID-19 (OR = 0.99, 95% CI = 0.81-1.21, = 0.945) did not causally influence CA risk. Reverse MR analysis also did not support a causal effect of CA on COVID-19. Thus, associations in observational studies may stem from shared biological factors or environmental confounding.
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http://dx.doi.org/10.1080/09603123.2024.2365304 | DOI Listing |
Orthop J Sports Med
January 2025
Department of Orthopedics, Affiliated Zhongshan Hospital of Dalian University, Dalian, PR China.
Background: Although previous studies have investigated the risk factors for rotator cuff syndrome (RCS), there remains controversy due to uncontrolled and uncertain confounding factors in their analyses.
Purpose: To perform Mendelian randomization (MR) analysis using single-nucleotide polymorphisms to investigate the causal relationship between RCS and 4 risk factors: type 2 diabetes mellitus (T2DM), high blood pressure (HBP), body mass index (BMI), and low high-density lipoprotein cholesterol (HDL-C).
Study Design: Descriptive epidemiology study.
Sci Rep
January 2025
Medical Innovation Center, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwai Main Street, Nanchang, 330006, Jiangxi, China.
Traditional epidemiological studies are susceptible to confounding factors. To clarify the impact of metabolic syndrome and its diagnostic components on hepatocellular carcinoma, we conducted a preliminary mendelian randomization analysis with metabolic syndrome and its diagnostic components as exposures and hepatocellular carcinoma as the outcome. Another set of genetic data related to hepatocellular carcinoma was used as a validation cohort, repeating the mendelian randomization analysis and combining the two groups for a meta-analysis.
View Article and Find Full Text PDFJ Obes Metab Syndr
January 2025
Institute of Health and Environment, Seoul National University, Seoul, Korea.
Mendelian randomization (MR) is a statistical method that uses genetic variants as instrumental variables to estimate the causal effect of exposure on an outcome in the presence of unmeasured confounding. In this review, we argue that it is crucial to acknowledge the instrumental variable assumptions in MR analysis. We describe widely used MR methods, using an example from obesity-related metabolic disorders.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China. Electronic address:
Study Objectives: Lipoprotein (a) [Lp(a)] is a biomarker of atherosclerotic cardiovascular disease, but its role in mental disorders is controversial. Our study aimed to explore the causality between Lp(a) levels and mental disorders by combining retrospective and Mendelian randomization (MR) studies.
Methods: All genome-wide association study datasets used in the MR study were obtained from UK Biobank, FinnGen, and the Psychiatric Genomics Consortium.
J Affect Disord
January 2025
School of Nursing, Guangzhou Medical University, Guangzhou, Guangdong Province, China. Electronic address:
Background: Extensive research indicates a link between gut microbiota dysbiosis and psychiatric disorders. However, the causal relationships between gut microbiota and different types of psychiatric disorders, as well as whether inflammatory factors mediate these relationships, remain unclear.
Methods: We utilized summary statistics from the largest genome-wide association studies to date for gut microbiota (n = 18,340 in MiBioGen consortium), circulating inflammatory factors (n = 8293 for 41 factors and n = 14,824 for 91 factors in GWAS catalog), and six major psychiatric disorders from the Psychiatric Genomics Consortium (PGC): attention deficit hyperactivity disorder (ADHD, n = 38,691), anxiety disorder (ANX, n = 2248), bipolar disorder (BIP, n = 41,917), anorexia nervosa (AN, n = 16,992), schizophrenia (SCZ, n = 36,989), and autism spectrum disorder (ASD, n = 18,381).
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