Linking Disease Associations with Regulatory Information in the Human Genome - Companion website
Marc A. Schaub, Alan P. Boyle, Anshul Kundaje, Serafim Batzoglou, Michael Snyder, Stanford University

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Electrocardiographic conduction measures

chr1:200,672,906 rs7512898
chr2:176,289,319 rs2461751
chr3:38,442,490 rs2070488
chr3:38,594,973 rs7638909
chr4:5,221,538 rs2008242
chr4:154,703,596 rs17030434
chr6:51,058,721 rs283566



Credits:
This resource uses data from:
 - The NHGRI GWAS catalog (accessed August 10, 2011)
 - The ENCODE project
 - RegulomeDB
 - The HapMap project

Contact: marc.schaub AT cs.stanford.edu
Last modified: 2011-12-15 01:19:25
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