Regionalpcs ROSMAP Differential Methylation Results

<p>This dataset contains differential methylation results for the manuscript titled</p> <p><strong><em>"regionalpcs improve discovery of DNA methylation associations with complex traits"</em></strong></p> <p>Tiffany Eulalio*¹, Min Woo Sun¹, Olivier Gevaert¹, Michael D. Greicius², Thomas J. Montine³, Daniel Nachun*&Dagger;³, Stephen B. Montgomery*&Dagger;^1,3</p> <p>&Dagger; These authors contributed equally as senior authors</p> <p>* Corresponding authors: Tiffany Eulalio (<a href="mailto:eulalio@alumn.stanford.edu">eulalio@alumn.stanford.edu</a>), Daniel Nachun (<a href="mailto:dnachun@stanford.edu">dnachun@stanford.edu</a>), Stephen B. Montgomery (<a href="mailto:smontgom@stanford.edu">smontgom@stanford.edu</a>)</p> <p>&nbsp;Author affiliations:</p> <p>1.&nbsp;&nbsp;&nbsp;&nbsp; Department of Biomedical Data Science, Stanford University, Stanford, CA</p> <p>2.&nbsp;&nbsp;&nbsp;&nbsp; Department of Neurology &amp; Neurological Sciences, Stanford University, Stanford, CA</p> <p>3.&nbsp;&nbsp;&nbsp;&nbsp; Department of Pathology, Stanford University, Stanford, CA</p> <p>&nbsp;</p> <p><strong>Dataset description</strong>:</p> <p>Differential methylation analyses were performed using methylation summarized as averages, regional PCs, and CpGs across multiple gene regions: full gene region, gene body, preTSS, and promoters.</p> <p>Files are named according to the gene region:</p> <ul> <li><code>[gene region]_full_DM_results.csv</code>: Comprehensive differential methylation results.</li> <li><code>[gene region]_all_counts.csv</code>: Summarized counts of significant differential methylation results.</li> </ul>