Body Mass Index and Causal Relationships with Four Characteristic Female Cancers: A Two-Sample Mendelian Randomization Study
Journal Title: Global Academic Frontiers - Year 2024, Vol 2, Issue 1
Abstract
This study employs a two-sample Mendelian randomization (MR) approach to investigate the causal relationship between increased Body Mass Index (BMI) and four characteristic female cancers. BMI and data pertaining to the four characteristic female cancers were obtained from the GWAS database. Single nucleotide polymorphisms (SNPs) were selected as instrumental variables (IVs) based on assumptions. The PhenoScanner method was utilized to eliminate SNPs associated with confounding factors. Five Mendelian randomization analysis methods, including inverse variance-weighted (IVW), were employed for two-sample Mendelian randomization analysis. Cochran Q and Rücker Q heterogeneity tests were conducted using IVW and MR-Egger methods. Egger-intercept method was employed for pleiotropy testing, and stepwise exclusion testing for sensitivity analysis. F-values were calculated to assess the presence of weak IVs bias. Genetically predicted increase in BMI was causally associated with reduced risk of breast cancer (OR=0.648, 95% CI: 0.535-0.783, P=7.74e-06), and increased risk of endometrial cancer (OR=1.534, 95% CI: 1.195-1.970, P=7.84e-04). There was insufficient evidence to suggest a causal relationship between genetically determined BMI increase and other characteristic female cancers studied. Increased Body Mass Index may potentially decrease the risk of female breast cancer while increasing the risk of endometrial cancer. There is inadequate evidence to indicate a significant impact of increased BMI on the occurrence risk of other characteristic female cancers studied. Further research is warranted to elucidate these findings.
Authors and Affiliations
Yulai YIN| Hebei Medical University,Xiaoyu ZHANG| Cangzhou Central Hospital
Keywords
Related Articles
- EP ID EP741416
- DOI -
- Views 38
- Downloads 0
Enhancing Management Efficiency in Natural Parks Globally through Big Data Technologies
The adoption of big data technologies offers significant potential for enhancing the management efficiency of natural parks worldwide, a critical component in the establishment and upkeep of international conservation sy...
Target enhancement interpretive processing techniques and their application in B area
The Ordovician reservoir in Area B is a carbonate fracture- controlled fractured-vuggy reservoir. The distribution of the reservoir is controlled by the slip fracture zones, with large differences in three-dimensional sp...
Body Mass Index and Causal Relationships with Four Characteristic Female Cancers: A Two-Sample Mendelian Randomization Study
This study employs a two-sample Mendelian randomization (MR) approach to investigate the causal relationship between increased Body Mass Index (BMI) and four characteristic female cancers. BMI and data pertaining to the...
Construction of Cross Border E-commerce Cooperation Alliance based on Cloud Platform and Interest Game
The development of cross-border e-commerce is crucial in establishing the new pattern of domestic and international double circulation. Currently, the issue of 'information islands' within the cross-border e-commerce sup...
On Internet News Translation under Nord’s Text Analysis Model---Taking “Paris Olympics 2024: Locals ask if they’re worth the trouble” Reported by BBC as an Example
With the progress and development of Internet technology, the cause of Internet news media is growing. With the pace of globalization, China and the world are constantly strengthening their exchanges and contacts. News r...