Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges: eTable 11 - Epigenome-wide blood-saliva correlations

Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges Author: Vera N. KarlbauerContact: [e-mail] created: 2025-12-11 eTable 11: Epigenome-wide correlations and ICC estimates between pediatric blood and salivary DNA methylation. This is eTable 11 corresponding to the manuscript Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges by Vera N. Karlbauer, Carmen Domínguez-Baleón, Monika Rex-Haffner, Tamara Namendorf, Ferdinand Hoffmann, Heiko Klawitter, Sonja Entringer, Claudia Buss, Sibylle M. Winter, Christine Heim, Elisabeth B. Binder and Darina Czamara. This data contains epigenome-wide correlations and ICC estimates between pediatric blood and salivary DNAm for 815,069 CpGs measured with the Illumina EPICv2 microarray in 291 matched pediatric blood and saliva samples from the Kids2Health cohort, aged 3-12 years. The data is intended as a resource for epigenetic researchers interested in checking the tissue-specificity of their EWAS results or selecting CpGs with high cross-tissue comparability for constructing new pediatric epigenetic measures. File descriptions etable_11_blood_saliva_epigenome_wide.csv Epigenome-wide within-person Spearman correlations and ICC estimates between pediatric blood and salivary DNAm (beta values) for 815,069 CpGs. Estimates are provided with and without prior tissue-specific residualization for estimated cell type proportions. dictionary_etable_11_blood_saliva_epigenome_wide.csv Data dictionary/codebook with detailed descriptions of all columns in etable_11_blood_saliva_epigenome_wide.csv. Code availability: The corresponding code for all statistical analyses is available at: https://github.com/vera-karlbauer/limited_generalizability_of_epigenetic_measures《表观遗传时钟与评分在儿科组织及年龄区间中的泛化性局限》 作者：维拉·N·卡尔鲍尔（Vera N. Karlbauer） 联系方式：[e-mail] 创建日期：2025-12-11 补充表11：儿童血液与唾液DNA甲基化的全表观基因组相关性及组内相关系数（ICC, intraclass correlation coefficient）估计值 本补充表11对应维拉·N·卡尔鲍尔、卡门·多明格斯-巴莱翁、莫妮卡·雷克斯-哈夫纳、塔玛拉·纳门多夫、斐迪南德·霍夫曼、海科·克劳特、索尼娅·恩特林格、克劳迪娅·布斯、西比尔·M·温特、克里斯汀·海姆、伊丽莎白·B·宾德以及达里娜·恰马拉所著的题为《表观遗传时钟与评分在儿科组织及年龄区间中的泛化性局限》的手稿。 本数据集包含来自Kids2Health队列的291例匹配的儿科血液与唾液样本中，通过Illumina EPICv2微阵列（Illumina EPICv2 microarray）检测的815,069个CpG位点（CpG site）的儿童血液与唾液DNA甲基化（DNA methylation, 简称DNAm）全表观基因组相关性及组内相关系数估计值，样本年龄介于3至12岁之间。 本数据集旨在为表观遗传研究人员提供资源，帮助其验证表观全基因组关联分析（EWAS, Epigenome-Wide Association Study）结果的组织特异性，或筛选跨组织可比性较高的CpG位点以构建新型儿科表观遗传检测指标。 文件说明 `etable_11_blood_saliva_epigenome_wide.csv` 包含815,069个CpG位点的儿童血液与唾液DNA甲基化β值的全表观基因组个体内斯皮尔曼相关性及ICC估计值。估计值同时提供了是否针对细胞类型比例估计值进行过组织特异性残差校正的结果。 `dictionary_etable_11_blood_saliva_epigenome_wide.csv` `etable_11_blood_saliva_epigenome_wide.csv`所有列的详细数据字典/编码手册。 代码获取 所有统计分析对应的代码可在以下网址获取：https://github.com/vera-karlbauer/limited_generalizability_of_epigenetic_measures