Chan Meingold Hiu-Ming, Meijer Mandy, Merrill Sarah M, Fu Maggie Po Yuan, Lin David, MacIsaac Julia L, Riis Jenna L, Granger Douglas A, Thomas Elizabeth A, Kobor Michael S
Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada.
bioRxiv. 2024 Nov 11:2024.11.08.621377. doi: 10.1101/2024.11.08.621377.
Saliva is a widely used sample in epigenetic research with children due to its non-invasive nature. Since DNA methylation (DNAm) profile is cell type (CT) specific, salivary DNAm associations with exposures may be influenced by CT compositions, which is highly variable in saliva as it contains immune and buccal epithelial cells (BEC). Reference-based CT deconvolution and statistically adjusting estimated CT in DNAm analyses have become an increasingly common practice. However, careful examinations of how different reference panels may affect DNAm results and alternative approaches (e.g., stratification) are lacking. To scrutinize the best analytical strategies on pediatric salivary DNAm, the current study used 529 salivary DNAm samples obtained from children (mean age = 7.26 years, SD = 0.26 years) in the Family Life Project. Our results showed higher estimated CT variability with child than adult reference panels and highlighted the impact of these estimated CT discrepancies on DNAm associations with social variables (socioeconomic status). Stratifying salivary DNAm samples by BEC proportions detected a larger number of significant associations with biological variables (sex) and tissue-specific effect with cotinine level, a tobacco smoke-exposure biomarker. We provide analytical recommendations for future epigenetic research involving pediatric saliva samples.
由于唾液具有非侵入性,它是儿童表观遗传学研究中广泛使用的样本。由于DNA甲基化(DNAm)谱具有细胞类型(CT)特异性,唾液DNAm与暴露之间的关联可能会受到CT组成的影响,而唾液中的CT组成高度可变,因为它包含免疫细胞和颊上皮细胞(BEC)。在DNAm分析中,基于参考的CT反卷积和对估计的CT进行统计调整已变得越来越普遍。然而,缺乏对不同参考面板如何影响DNAm结果以及替代方法(例如分层)的仔细研究。为了仔细研究儿科唾液DNAm的最佳分析策略,本研究使用了从家庭生活项目中的儿童(平均年龄=7.26岁,标准差=0.26岁)获得的529份唾液DNAm样本。我们的结果表明,与成人参考面板相比,儿童参考面板的估计CT变异性更高,并突出了这些估计的CT差异对DNAm与社会变量(社会经济地位)关联的影响。按BEC比例对唾液DNAm样本进行分层,发现与生物学变量(性别)有大量显著关联,以及与可替宁水平(一种烟草烟雾暴露生物标志物)有组织特异性效应。我们为未来涉及儿科唾液样本的表观遗传学研究提供了分析建议。