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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Smoking behavior

chr1:30,567,596 rs910696
chr1:87,613,358 rs7553864
chr3:107,465,817 rs6437740
chr3:144,340,205 rs800082
chr3:185,621,829 rs6444087
chr4:126,431,919 rs950063
chr4:140,423,134 rs17050782
chr5:90,762,748 rs933688
chr7:26,557,618 rs886716
chr7:32,347,335 rs215614
chr8:42,550,498 rs6474412
chr9:26,789,940 rs1889899
chr9:104,622,868 rs10989661
chr9:136,478,355 rs3025343
chr10:93,348,120 rs1329650
chr11:27,679,916 rs6265
chr12:77,729,385 rs1402279
chr12:91,077,508 rs1847461
chr13:103,867,104 rs912969
chr14:69,408,697 rs2268983
chr15:78,894,339 rs1051730
chr16:7,836,297 rs3112740
chr17:3,786,907 rs758642
chr18:20,720,973 rs11082304
chr19:20,036,176 rs10411195
chr19:41,310,571 rs3733829
chr19:41,358,624 rs4105144
chr19:41,521,638 rs7260329
chrX:43,607,033 rs3027409
chrX:111,155,233 rs7050529



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