Anne Richmond, Jure Mur, Sarah Harris, Janie Corley, Hannah R Elliott, Chris N Foley, Eilis Hannon, Zhana Kuncheva, Josine Min, Mahdi Moqri, Magatte Ndiaye, Benjamin Sun, Catalina Vallejos, Kejun Ying, Vadim N Gladyshev, Simon R Cox, Daniel L. McCartney, Riccardo Marioni
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引用次数: 0
摘要
基于血液的 DNA 甲基化的多焦点特征是生活方式和健康结果的公认生物标志物。在这里，我们重点研究与年龄和吸烟行为密切相关的两个 CpGs。与直接测量的 CpGs 相比，通过全表观基因组的 CpGs 对这些位点进行推算，会发现它们与外部数据集中的结果有更强的关联。如果在整个表观基因组范围内推广，CpG 估算可以增强历史阵列和最近发布的廉价但含量较低的阵列，从而产生更好的关联研究。
Imputed DNA methylation outperforms measured loci associations with smoking and chronological age
Multi-locus signatures of blood-based DNA methylation are well-established biomarkers for lifestyle and health outcomes. Here, we focus on two CpGs that are strongly associated with age and smoking behaviour. Imputing these loci via epigenome-wide CpGs results in stronger associations with outcomes in external datasets compared to directly measured CpGs. If extended epigenome-wide, CpG imputation could augment historic arrays and recently-released, inexpensive but lower-content arrays, thereby yielding better-powered association studies.
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