rs8034191

This is a intron variant variant in the HYKK gene.

GWAS Catalog Trait Associations (8)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

cigarettes per day measurement

Allele C
OR 0.10
p 1.0e-139
N 153,918
Meta-analysisLarge GWAS
European

tobacco smoke exposure measurement

Allele C
OR 0.08
p 6.0e-118
N 150,993
Meta-analysisLarge GWAS
European

nicotine dependence

Allele T
OR 0.06
p 1.0e-70
N 58,000
Large GWAS
multi-ancestry

lung carcinoma

Allele C
OR 1.30
p 5.0e-20
N 4,448
Large GWAS
multi-ancestry
Allele C
OR 1.30
p 3.0e-18
N 2,291
Large GWAS
European
Liu P et al. Familial aggregation of common sequence variants on 15q24-25.1 in lung cancer. Journal of the National Cancer Institute 100(18):1326-30 (2008)
Allele C
OR 1.38
p 1.0e-8
N 413
Small GWAS
European

brain aneurysm

Allele T
OR 0.12
p 3.0e-8
N 317,636
Large GWAS
multi-ancestry

ClinVar annotation

Pathogenic

Chronic obstructive pulmonary disease

View on ClinVar →

Research that mentions this SNP (4)

Dissecting direct and indirect genetic effects on chronic obstructive pulmonary disease (COPD) susceptibility
AssociationN=5,296Mateusz Siedlinski et al.(2013)· Human Genetics

This mediation analysis study of 3,424 COPD cases and 1,872 controls examined direct and indirect genetic effects of known COPD susceptibility loci. The AGPHD1/CHRNA3 variants (rs1051730, rs8034191) showed ~30% of their total effect on COPD mediated by pack-years smoking (OR 1.256-1.305), while IREB2 (rs13180) showed no significant smoking-mediated effect, suggesting independent pathways. FAM13A (rs7671167) and HHIP (rs13118928) demonstrated direct effects on COPD independent of smoking.

Traits studied:Chronic obstructive pulmonary disease (COPD)Number of cigarettes per dayPack-years smokedSmoking intensity
Markers in the 15q24 nicotinic receptor subunit gene cluster (CHRNA5‐A3‐B4) predict severity of nicotine addiction and response to smoking cessation therapy
Meta-analysisN=19,747Jane E. Sarginson et al.(2011)· American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

This PhD thesis comprehensively explores associations between the CHRNA5-A3-B4 nicotinic acetylcholine receptor gene cluster and smoking-related behaviors. Using systematic review/meta-analysis, genetic epidemiology, laboratory-based techniques, and genome-wide meta-analysis, the study found compelling evidence for a small, robust association between rs16969968/rs1051730 and daily cigarette consumption with a per-allele effect of approximately one cigarette per day (beta≈1.0). A genome-wide meta-analysis of cotinine levels in 2,139 current smokers identified multiple variants in the CHRNA5 region strongly associated with tobacco exposure. However, no association was observed with smoking initiation in a prospectively-assessed cohort.

Traits studied:Cotinine levelsDaily cigarette consumptionHeaviness of smokingNicotine dependenceSmoking behavior trajectoriesSmoking initiationSmoking quantitySmoking topographyTobacco exposure
Correcting “winner's curse” in odds ratios from genomewide association findings for major complex human diseases
MethodsHua Zhong et al.(2010)· Genetic Epidemiology

This paper applies a bias correction method for odds ratio estimates from GWAS discovery data, demonstrating that the 'winner's curse' affects initial effect size estimates. The authors applied conditional maximum likelihood estimation to correct bias in GWAS findings from multiple complex diseases (breast cancer, colorectal cancer, lung cancer, prostate cancer, type I and II diabetes) and show that bias-adjusted odds ratios are substantially more consistent with subsequent replication studies, with selection-adjusted confidence intervals providing better uncertainty quantification than uncorrected estimates.

Traits studied:Breast cancerColorectal cancerLung cancerProstate cancerType I diabetesType II diabetes
Multiple distinct risk loci for nicotine dependence identified by dense coverage of the complete family of nicotinic receptor subunit (CHRN) genes
AssociationN=1,929Nancy L. Saccone et al.(2009)· American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

This comprehensive association study of 226 SNPs across all 16 nicotinic receptor subunit (CHRN) genes identified four distinct genetic loci significantly associated with nicotine dependence in 1050 cases and 879 controls of European descent. The two most significant associations were rs16969968 (CHRNA5, non-synonymous, p=0.00013, OR=1.30) and rs578776 (CHRNA3, p=0.00011, OR=1.34) in the CHRNA5-CHRNA3-CHRNB4 cluster; one locus in the CHRNB3-CHRNA6 cluster tagged by rs13277254 (p=0.00010); and a novel locus in the CHRND-CHRNG cluster tagged by rs12466358 (p=0.00027). Joint analyses confirmed statistical independence of the two CHRNA5-CHRNA3-CHRNB4 signals.

Traits studied:Cigarette consumptionNicotine dependenceSmoking behavior

About HYKK

Enables hydroxylysine kinase activity. Predicted to be involved in lysine catabolic process. Predicted to be located in mitochondrial matrix. [provided by Alliance of Genome Resources, Jul 2025]

View all HYKK variants →

Gene information from NCBI Gene. Variant classifications from ClinVar.

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