Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges: eTable 11 - Epigenome-wide blood-saliva correlations
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2025
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| author | Karlbauer, Vera Natalia Binder, Elisabeth Czamara, Darina |
| author_facet | Karlbauer, Vera Natalia Binder, Elisabeth Czamara, Darina |
| contents | <div dir="auto"> <h1>Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges</h1> <p><strong>Author:</strong> Vera N. Karlbauer<br><strong>Contact:</strong> <a href="mailto:vera_karlbauer@psych.mpg.de">vera_karlbauer@psych.mpg.de</a><br><strong>Date created:</strong> 2025-12-11</p> <h2>eTable 11: Epigenome-wide correlations and ICC estimates between pediatric blood and salivary DNA methylation.</h2> <p>This is <em>eTable 11 </em>corresponding to the manuscript <strong>Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges</strong> 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.</p> <p>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.</p> <p>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. </p> <h2>File descriptions</h2> <h3>etable_11_blood_saliva_epigenome_wide.csv</h3> <p>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. </p> <h3>dictionary_etable_11_blood_saliva_epigenome_wide.csv</h3> <p>Data dictionary/codebook with detailed descriptions of all columns in <strong>etable_11_blood_saliva_epigenome_wide.csv</strong>.</p> <h2>Code availability:</h2> <p>The corresponding code for all statistical analyses is available at: <a href="https://github.com/vera-karlbauer/limited_generalizability_of_epigenetic_measures">https://github.com/vera-karlbauer/limited_generalizability_of_epigenetic_measures</a></p> </div> |
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| spellingShingle | Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges: eTable 11 - Epigenome-wide blood-saliva correlations Karlbauer, Vera Natalia Binder, Elisabeth Czamara, Darina <div dir="auto"> <h1>Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges</h1> <p><strong>Author:</strong> Vera N. Karlbauer<br><strong>Contact:</strong> <a href="mailto:vera_karlbauer@psych.mpg.de">vera_karlbauer@psych.mpg.de</a><br><strong>Date created:</strong> 2025-12-11</p> <h2>eTable 11: Epigenome-wide correlations and ICC estimates between pediatric blood and salivary DNA methylation.</h2> <p>This is <em>eTable 11 </em>corresponding to the manuscript <strong>Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges</strong> 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.</p> <p>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.</p> <p>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. </p> <h2>File descriptions</h2> <h3>etable_11_blood_saliva_epigenome_wide.csv</h3> <p>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. </p> <h3>dictionary_etable_11_blood_saliva_epigenome_wide.csv</h3> <p>Data dictionary/codebook with detailed descriptions of all columns in <strong>etable_11_blood_saliva_epigenome_wide.csv</strong>.</p> <h2>Code availability:</h2> <p>The corresponding code for all statistical analyses is available at: <a href="https://github.com/vera-karlbauer/limited_generalizability_of_epigenetic_measures">https://github.com/vera-karlbauer/limited_generalizability_of_epigenetic_measures</a></p> </div> |
| title | Limited Generalizability of Epigenetic Clocks and Scores Across Pediatric Tissues and Age Ranges: eTable 11 - Epigenome-wide blood-saliva correlations |
| url | https://doi.org/10.5281/zenodo.17899484 |