Regionalpcs ROSMAP Fine-mapped QTLs

<p>This dataset contains DAP-G fine-mapped QTL results for the following study:</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>The DAP-G results are organized by region type (full gene, gene body, preTSS, and promoters), cell type (astrocytes, endothelial cells, neurons, oligodendrocytes, and bulk), and summary type (averages and regionalpcs).</p>