Objective: To investigate the link between genetic variants associated with plasma homocysteine levels and risk of intracranial aneurysm (IA) using two-sample Mendelian randomization.

Methods: We used single-nucleotide polymorphisms associated with human plasma homocysteine levels as instrumental variables for the primary analysis in a genome-wide association study of 44,147 subjects of European ancestry. Summary-level statistics were obtained for 79,429 individuals, including 7,495 IA cases and 71,934 controls. To enhance validity, five different Mendelian randomization methods (MR-Egger, weighted median, inverse variance weighted, simple mode, and weighted mode) were used for the analyses.

Results: The inverse variance weighted analysis method produced -values of 0.398 for aneurysmal subarachnoid hemorrhage [odds ratio (OR): 1.104; 95% confidence interval (CI): 0.878-1.387], 0.246 for IA (OR: 1.124; 95% CI: 0.923-1.368), and 0.644 for unruptured IA (OR: 1.126; 95% CI: 0.682-1.858). The MR-Egger analysis showed no association between IAs and homocysteine, with all > 0.05.

Conclusion: Using gene-related instrumental variables, the Mendelian randomization analyses demonstrated a lack of an association between plasma homocysteine levels and IAs or aneurysmal subarachnoid hemorrhage.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554923PMC
http://dx.doi.org/10.3389/fneur.2022.948989DOI Listing

Publication Analysis

Top Keywords

mendelian randomization
12
plasma homocysteine
12
homocysteine levels
12
intracranial aneurysm
8
instrumental variables
8
inverse variance
8
variance weighted
8
aneurysmal subarachnoid
8
subarachnoid hemorrhage
8
hyperhomocysteinemia intracranial
4

Similar Publications

This study aimed to evaluate the causal effects of different immune cells on heart failure (HF) using Mendelian randomization (MR). Datasets for immune cell phenotypes and HF were obtained from European Bioinformatics Institute and FinnGen. Then, single nucleotide polymorphisms were screened according to the basic assumptions of MR.

View Article and Find Full Text PDF

Previous studies have suggested an association between autoimmune diseases (AIDs) and the risk of prostate cancer (PCa). However, the causal relationship between AID and PCa remained unclear. The purpose of this study was to investigate the causal association between 3 common AIDs, including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and ankylosing spondylitis (AS), and the risk of PCa.

View Article and Find Full Text PDF

Air pollution and breast cancer risk: a Mendelian randomization study.

Int J Environ Health Res

January 2025

Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Article Synopsis
  • Previous research on the link between air pollution and breast cancer has shown mixed results, lacking a clear causal relationship.
  • A study using data from genetic analysis showed significant associations between air pollution levels (specifically PM and NO) and increased breast cancer risk, with odds ratios indicating higher risk for affected individuals.
  • The findings suggest that reducing air pollution may help lower breast cancer risk, particularly for specific subtypes like luminal B/HER2-negative-like cancer.
View Article and Find Full Text PDF

Introduction: Numerous observational studies have identified a link between osteoporosis and stroke. However, the causal genetic relationship between these conditions remains unclear. This study employs a two-sample bidirectional Mendelian randomization (MR) approach to ascertain the causal relationship between osteoporosis and stroke.

View Article and Find Full Text PDF

Inflammatory bowel disease (IBD) with the two predominant endophenotypes-Crohn's disease (CD) and ulcerative colitis (UC)-represents a group of chronic gastrointestinal inflammatory conditions. Since most genetic associations with IBD are often limited to independent subtypes, we reported a genome-wide association study (GWAS) cross-trait analysis combined with CD and UC to enhance statistical power. Initially, we detected 256 association signals at 54 genomic susceptibility loci and further characterized the functionality of variants within these regions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!