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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Blood pressure

chr1:10,796,866 rs880315
chr1:63,591,129 rs10493340
chr1:113,190,807 rs17030613
chr2:164,906,820 rs16849225
chr2:169,041,386 rs6749447
chr2:228,715,375 rs7591163
chr3:2,654,691 rs4370013
chr4:111,381,638 rs6825911
chr5:32,804,528 rs1173766
chr5:110,772,404 rs10491334
chr6:88,652,580 rs2509458
chr8:73,106,916 rs1963982
chr10:104,846,178 rs11191548
chr12:90,060,586 rs17249754
chr12:112,817,783 rs11066280
chr12:115,552,437 rs35444
chr14:76,613,678 rs935334
chr14:76,650,764 rs2121070
chr16:83,764,204 rs3096277



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
SCGPM logo A project of the Center for Genomics and Personalized Medicine at Stanford University. Stanford logo