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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Mean corpuscular volume

chr2:60,608,759 rs2540917
chr3:195,800,547 rs9859260
chr4:55,407,762 rs172629
chr6:26,093,141 rs1800562
chr6:41,925,159 rs9349205
chr6:109,616,420 rs9374080
chr6:135,426,573 rs4895441
chr6:139,839,423 rs643381
chr7:50,428,428 rs12718597
chr7:100,214,015 rs7786877
chr9:4,856,877 rs10758658
chr10:46,024,729 rs11239550
chr14:65,475,540 rs4466998
chr16:304,803 rs7189020
chr19:12,932,269 rs7255045
chr22:37,470,224 rs2413450
chr22:50,971,752 rs131794



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