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 traits

chr1:162,085,309 rs1415259
chr1:162,085,685 rs10494366
chr2:136,976,255 rs882300
chr3:38,589,163 rs11129795
chr3:38,593,393 rs12053903
chr3:38,766,675 rs6795970
chr4:86,651,464 rs7660702
chr6:36,622,900 rs1321311
chr6:118,680,374 rs11970286
chr7:116,186,241 rs3807989
chr7:150,637,863 rs4725982
chr7:150,667,210 rs3807375
chr10:54,223,977 rs1733724
chr11:2,489,342 rs12296050
chr12:114,795,443 rs3825214
chr13:27,879,526 rs10507380
chr14:23,861,811 rs365990
chr16:58,567,238 rs37062
chr21:35,880,072 rs727957



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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