Cho Sooyoung, Shin Aesun
Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea.
Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Sci Rep. 2025 Aug 18;15(1):30180. doi: 10.1038/s41598-025-13709-6.
Colorectal cancer (CRC) risk is influenced by a complex interplay between genetic predisposition and lifestyle factors, such as physical activity (PA). We aimed to conduct a genome-wide interaction study (GWIS) to explore single nucleotide polymorphisms (SNPs), and genes modulated by PA on CRC risk using data from the UK Biobank. Among 272,270 eligible participants, 2,979 CRC cases were matched with 11,435 controls using a incidence density matching approach to avoid potential biases that may arise when using excessively large unmatched control groups, and to preserve comparability in the timing and distribution of exposure. PA was defined as whether individuals met the international criteria. We used conditional logistic regression models to assess the significance for the SNP x PA interaction on CRC, and we also performed gene-level analysis by aggregating the results of SNP-level analysis. Several SNPs showed nominal interaction signals with p < 5 × 10⁻⁶, including loci mapped to ABI3, ZBTB16, and GABRB3, though none reached significance after FDR correction. Interaction and main effects were often in opposite directions. At the gene and pathway levels, RNASEL, NSD1, and efferocytosis showed nominal signals, although none reached statistical significance after correction. Although we could not find associations that met the significance threshold after adjusting for multiple testing, these preliminary findings help us to understand the interplay between genes and lifestyle in CRC.
结直肠癌(CRC)风险受遗传易感性与生活方式因素(如身体活动(PA))之间复杂相互作用的影响。我们旨在利用英国生物银行的数据进行一项全基因组相互作用研究(GWIS),以探索单核苷酸多态性(SNP)以及PA对CRC风险的调节基因。在272,270名符合条件的参与者中,采用发病密度匹配方法将2,979例CRC病例与11,435名对照进行匹配,以避免使用过大的未匹配对照组时可能出现的潜在偏差,并保持暴露时间和分布的可比性。PA定义为个体是否符合国际标准。我们使用条件逻辑回归模型评估SNP与PA相互作用对CRC的显著性,并且还通过汇总SNP水平分析的结果进行基因水平分析。几个SNP显示出名义上的相互作用信号,p < 5×10⁻⁶,包括映射到ABI3、ZBTB16和GABRB3的位点,尽管在FDR校正后没有一个达到显著性。相互作用和主要效应通常方向相反。在基因和通路水平上,RNASEL、NSD1和胞葬作用显示出名义上的信号,尽管校正后没有一个达到统计学显著性。虽然在多重检验校正后我们没有发现符合显著性阈值的关联,但这些初步发现有助于我们理解CRC中基因与生活方式之间的相互作用。