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



Study: Genome-wide and candidate gene association study of cigarette smoking behaviors. [PMID:19247474]
First author: Caporaso N
Journal: PLoS One
Date: 02/27/2009
Phenotype: Smoking behavior
Study population: 4,611 individuals (2,617 smokers)
Association P-value: 7 x 10-06
Odds ratio [95% confidence interval]: .08 [NR] more cigarettes per day
Gene: CAMKK1
Minor allele frequency (controls): 0.34

Lead SNP

Position: chr17:3,786,907 (Open in UCSC Genome Browser)
Distance to nearest TSS: 37,389 bp
GENCODE v7 location: Intron
RegulomeDB Score: 4 - ChIP-seq peak + DNaseI-seq peak (Open in RegulomeDB)

Linkage disequilibrium region

Linkage disequilibrium threshold:
 - In all HapMap 2 populations: r2≥0.8 r2≥0.9 r2=1.0 
 - In the HapMap 2 CEU population r2≥0.8 r2≥0.9 r2=1.0 

No SNPs found for this LD threshold.

This resource uses data from:
 - The NHGRI GWAS catalog (accessed August 10, 2011)
 - The ENCODE project
 - RegulomeDB
 - The HapMap project

Contact: marc.schaub AT
Last modified: 2011-12-15 01:19:23
SCGPM logo A project of the Center for Genomics and Personalized Medicine at Stanford University. Stanford logo