PDF(Pubmed)
Abstract：
UNASSIGNED: Observational studies have indicated that obesity is a risk factor for anorectal abscess (ARB). However, it remains unclear whether a causal genetic relationship exists between obesity and ARB.
UNASSIGNED: Univariate and multivariate Mendelian randomization (MR) were conducted using data from a large, published genome-wide association study (GWAS) of European ancestry to infer a causal relationship between obesity and ARB. Inverse variance weighted (IVW) analysis served as the primary analysis method, with results reported as odds ratios (OR).
UNASSIGNED: MR analysis revealed that body mass index (BMI) positively affects ARB (OR 1.974, 95% confidence interval (CI) 1.548-2.519, p = 4.34 × 10-8). The weighted median method (OR = 1.879, 95% CI 1.248-2.829, p = 0.002) and Bayesian model averaging (BMA) (OR = 1.88, 95% CI 1.477-2.392, p = 2.85 × 10-7) also demonstrated consistent results. Subsequently, the impact of several obesity-related characteristics on ARB was assessed. Body fat percentage (BF), whole body fat mass (FM), waist circumference (WC), and hip circumference (HC) were found to be causally associated with an increased risk of ARB. However, these associations vanished after adjusting for BMI effects.
UNASSIGNED: The study confirms a positive causal effect of obesity on ARB, highlighting that reasonable weight control is an important strategy to reduce the incidence of ARB.
UNASSIGNED: Univariate and multivariate Mendelian randomization (MR) were conducted using data from a large, published genome-wide association study (GWAS) of European ancestry to infer a causal relationship between obesity and ARB. Inverse variance weighted (IVW) analysis served as the primary analysis method, with results reported as odds ratios (OR).
UNASSIGNED: MR analysis revealed that body mass index (BMI) positively affects ARB (OR 1.974, 95% confidence interval (CI) 1.548-2.519, p = 4.34 × 10-8). The weighted median method (OR = 1.879, 95% CI 1.248-2.829, p = 0.002) and Bayesian model averaging (BMA) (OR = 1.88, 95% CI 1.477-2.392, p = 2.85 × 10-7) also demonstrated consistent results. Subsequently, the impact of several obesity-related characteristics on ARB was assessed. Body fat percentage (BF), whole body fat mass (FM), waist circumference (WC), and hip circumference (HC) were found to be causally associated with an increased risk of ARB. However, these associations vanished after adjusting for BMI effects.
UNASSIGNED: The study confirms a positive causal effect of obesity on ARB, highlighting that reasonable weight control is an important strategy to reduce the incidence of ARB.
摘要：
■观察性研究表明，肥胖是肛门直肠脓肿（ARB）的危险因素。然而,目前尚不清楚肥胖与ARB之间是否存在遗传因果关系.
■单变量和多变量孟德尔随机化（MR）使用来自大型，发表了欧洲血统的全基因组关联研究（GWAS），以推断肥胖与ARB之间的因果关系。方差加权(IVW)分析是主要的分析方法，结果报告为比值比（OR）。
■MR分析显示，体重指数（BMI）对ARB有正向影响（OR1.974，95％置信区间（CI）1.548-2.519，p=4.34×10-8）。加权中位数方法(OR=1.879,95%CI1.248-2.829,p=0.002)和贝叶斯模型平均(BMA)(OR=1.88,95%CI1.477-2.392,p=2.85×10-7)也显示了一致的结果。随后，评估了肥胖相关特征对ARB的影响.体脂百分比（BF），全身脂肪量（FM），腰围（WC），和臀围(HC)被发现与ARB风险增加有因果关系.然而,这些关联在调整BMI效应后消失.
■该研究证实了肥胖对ARB的积极因果效应，强调合理控制体重是降低ARB发病率的重要策略。
■单变量和多变量孟德尔随机化（MR）使用来自大型，发表了欧洲血统的全基因组关联研究（GWAS），以推断肥胖与ARB之间的因果关系。方差加权(IVW)分析是主要的分析方法，结果报告为比值比（OR）。
■MR分析显示，体重指数（BMI）对ARB有正向影响（OR1.974，95％置信区间（CI）1.548-2.519，p=4.34×10-8）。加权中位数方法(OR=1.879,95%CI1.248-2.829,p=0.002)和贝叶斯模型平均(BMA)(OR=1.88,95%CI1.477-2.392,p=2.85×10-7)也显示了一致的结果。随后，评估了肥胖相关特征对ARB的影响.体脂百分比（BF），全身脂肪量（FM），腰围（WC），和臀围(HC)被发现与ARB风险增加有因果关系.然而,这些关联在调整BMI效应后消失.
■该研究证实了肥胖对ARB的积极因果效应，强调合理控制体重是降低ARB发病率的重要策略。
