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

2025/12/11 by Karlbauer, Vera Natalia, Binder, Elisabeth, Czamara, Darina · 1 voice

paper · doi:10.5281/zenodo.17899484

openalex publication_date 2025/12/11 · openalex created_date 2025/12/12 · openalex updated_date 2026/07/22

Abstract

Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges Author: Vera N. KarlbauerContact: vera_k[email protected] 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 etable₁1_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_etable₁1_blood_saliva_epigenome_wide.csv Data dictionary/codebook with detailed descriptions of all columns in etable₁1_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

Discussions

• 12/13 We need more epigenetic measures for pediatric populations – ideally valid across tissues. You can use our epigenome-wide correlation database to train such measures, e.g. by only selecting CpGs [bsky, 0 points, 1 comments]

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