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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Chronic kidney disease

chr1:109,999,838 rs1933182
chr1:150,951,477 rs267734
chr2:5,907,880 rs16864170
chr2:27,730,940 rs1260326
chr2:73,868,328 rs13538
chr3:141,807,137 rs347685
chr4:77,368,847 rs17319721
chr5:39,397,132 rs11959928
chr5:176,817,636 rs6420094
chr6:43,806,609 rs881858
chr6:160,668,389 rs2279463
chr7:77,416,439 rs6465825
chr7:151,407,801 rs7805747
chr8:23,751,151 rs10109414
chr9:71,434,707 rs4744712
chr10:1,156,165 rs10794720
chr11:65,506,822 rs4014195
chr12:349,298 rs10774021
chr12:112,007,756 rs653178
chr13:72,347,696 rs626277
chr15:45,641,225 rs2453533
chr15:53,946,593 rs491567
chr15:76,158,983 rs1394125
chr16:20,367,690 rs12917707
chr17:59,456,589 rs9895661
chr19:33,356,891 rs12460876
chr20:23,612,737 rs911119



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