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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Cholesterol, total

chr1:25,768,937 rs10903129
chr1:63,118,196 rs10889353
chr1:109,818,530 rs646776
chr2:21,232,195 rs693
chr2:44,065,090 rs6756629
chr5:74,651,084 rs3846662
chr7:21,607,352 rs12670798
chr8:126,504,726 rs6987702
chr11:61,597,212 rs174570
chr11:116,603,724 rs12272004
chr15:58,683,366 rs1532085
chr18:47,167,214 rs4939883
chr19:11,210,912 rs2228671
chr19:19,789,528 rs2304130
chr19:45,395,619 rs2075650



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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