Academic Journal

Causal relationship between thyroid dysfunction and gastric cancer: a two-sample Mendelian randomization study

التفاصيل البيبلوغرافية
العنوان: Causal relationship between thyroid dysfunction and gastric cancer: a two-sample Mendelian randomization study
المؤلفون: Qi Zhang, Yongliang Mu, Xin Jiang, Yirui Zhao, Qiutao Wang, Zhen Shen
المصدر: Frontiers in Endocrinology, Vol 15 (2024)
بيانات النشر: Frontiers Media S.A., 2024.
سنة النشر: 2024
المجموعة: LCC:Diseases of the endocrine glands. Clinical endocrinology
مصطلحات موضوعية: hyperthyroidism, hypothyroidism, FT4, TSH, gastric cancer, Mendelian randomization, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
الوصف: BackgroudGastric cancer is one of the most common cancers worldwide, and its development is associated with a variety of factors. Previous observational studies have reported that thyroid dysfunction is associated with the development of gastric cancer. However, the exact relationship between the two is currently unclear. We used a two-sample Mendelian randomization (MR) study to reveal the causal relationship between thyroid dysfunction and gastric cancer for future clinical work.Materials and methodsThis study is based on a two-sample Mendelian randomization design, and all data are from public GWAS databases. We selected hyperthyroidism, hypothyroidism, free thyroxine (FT4), and thyroid-stimulating hormone (TSH) as exposures, with gastric cancer as the outcome. We used three statistical methods, namely Inverse-variance weighted (IVW), MR-Egger, and weighted median, to assess the causal relationship between thyroid dysfunction and gastric cancer. The Cochran’s Q test was used to assess the heterogeneity among SNPs in the IVW analysis results, and MR-PRESSO was employed to identify and remove IVs with heterogeneity from the analysis results. MR-Egger is a weighted linear regression model, and the magnitude of its intercept can be used to assess the horizontal pleiotropy among IVs. Finally, the data were visualized through the leave-one-out sensitivity test to evaluate the influence of individual SNPs on the overall causal effect. Funnel plots were used to assess the symmetry of the selected SNPs, forest plots were used to evaluate the confidence and heterogeneity of the incidental estimates, and scatter plots were used to assess the exposure-outcome relationship. All results were expressed as odds ratios (OR) and 95% confidence intervals (95% CI). P
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1664-2392
Relation: https://www.frontiersin.org/articles/10.3389/fendo.2024.1335149/full; https://doaj.org/toc/1664-2392
DOI: 10.3389/fendo.2024.1335149
URL الوصول: https://doaj.org/article/6e923d4764eb458ebad6f85e228b6421
رقم الانضمام: edsdoj.6e923d4764eb458ebad6f85e228b6421
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16642392
DOI:10.3389/fendo.2024.1335149