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

Return Home

Obesity

chr2:121,195,181 rs7581710
chr2:181,362,379 rs16867321
chr4:187,678,866 rs925642
chr6:131,809,920 rs2807278
chr7:104,503,813 rs10953454
chr8:17,977,650 rs17126232
chr10:16,299,951 rs10508503
chr10:78,646,536 rs2116830
chr11:27,563,382 rs988712
chr13:66,967,622 rs17081231
chr14:78,786,077 rs11624704
chr16:53,800,954 rs1421085
chr16:53,803,574 rs1558902
chr16:53,813,367 rs17817449
chr16:78,952,439 rs9923451
chr16:79,682,751 rs1424233
chr18:21,140,432 rs1805081
chr18:57,851,097 rs17782313
chr21:22,689,344 rs11088859
chr22:28,378,472 rs5762430



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