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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Biochemical measures

chr4:9,926,967 rs13129697
chr4:53,412,129 rs346923
chr4:61,966,273 rs4599440
chr4:99,337,881 rs10516430
chr4:149,321,346 rs1490453
chr6:102,355,867 rs12207601
chr12:42,171,982 rs871392
chr12:92,164,302 rs10777332
chr12:118,311,743 rs4767631
chr12:118,353,871 rs10444502
chr16:57,006,590 rs7499892
chr18:43,153,949 rs10502868
chr20:17,368,542 rs6044777
chr21:44,436,177 rs2839619
chrX:6,220,474 rs7885458
chrX:111,646,464 rs5982533



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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