rs1317286

This is a intron variant variant in the CHRNA3 gene.

GWAS Catalog Trait Associations (6)

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

cigarettes per day measurement

Saunders GRB et al. Genetic diversity fuels gene discovery for tobacco and alcohol use. Nature 612(7941):720-724 (2022)
Allele G
OR 0.11
p 3.0e-40
N 35,129
Large GWAS
Hispanic or Latin American

chronic obstructive pulmonary disease

Kim W et al. Genome-Wide Gene-by-Smoking Interaction Study of Chronic Obstructive Pulmonary Disease. American Journal of Epidemiology 190(5):875-885 (2021)
Allele G
OR 1.19
p 5.0e-28
N 71,591
Large GWAS
European

smoking status measurement, chronic obstructive pulmonary disease

Kim W et al. Genome-Wide Gene-by-Smoking Interaction Study of Chronic Obstructive Pulmonary Disease. American Journal of Epidemiology 190(5):875-885 (2021)
Allele G
OR
p 3.0e-25
N 200,766
Large GWAS
European

parental longevity

Allele A
OR 0.03
p 1.0e-26
N 389,166
Major Consortium StudyLarge GWAS
European

Research that mentions this SNP (4)

The effect of nicotine on sensorimotor gating is modulated by a CHRNA3 polymorphism
FunctionalN=52Nadine Petrovsky et al.(2013)· Psychopharmacology

This pharmacogenetic study of 52 healthy nonsmoking volunteers demonstrates that the effect of nicotine on prepulse inhibition (a measure of sensorimotor gating) is modulated by the CHRNA3 rs1051730 polymorphism. Nicotine significantly enhanced PPI in TT homozygotes (p=0.03) but tended to worsen PPI in TC and CC carriers (p=0.16-0.28). The findings suggest that individuals carrying the nicotine dependence risk allele (T allele) may be more susceptible to neurocognitive enhancement from nicotine, potentially contributing to addiction vulnerability.

Traits studied:Nicotine responsePrepulse inhibition (PPI)Sensorimotor gatingStartle habituation
Association and interaction analysis of variants in CHRNA5/CHRNA3/CHRNB4 gene cluster with nicotine dependence in African and European Americans
AssociationN=2,037Ming D. Li et al.(2010)· American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

Family-based association analysis of 22 SNPs in the CHRNA5/CHRNA3/CHRNB4 gene cluster on chromosome 15 with nicotine dependence in African Americans (N=1053) and European Americans (N=515). Individual SNP analyses showed nominal associations for rs1317286 and rs8040868 in CHRNA3 with smoking quantity and Heaviness Smoking Index (P=0.017–0.05), though none survived correction for multiple testing. Haplotype analysis identified significant associations with nicotine dependence measures before correction in both ethnic groups. Gene-gene interaction analysis using pedigree-based generalized multifactor dimensionality reduction detected significant interactions within CHRNA3 and among all three genes in African Americans and combined samples (P=0.002–0.045).

Traits studied:Fagerström Test for Nicotine DependenceHeaviness of Smoking IndexNicotine dependenceSmoking quantity
Risk gene variants for nicotine dependence in the CHRNA5CHRNA3CHRNB4 cluster are associated with cognitive performance
AssociationN=492Georg Winterer et al.(2010)· American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

This population-based study examined natural selection on nicotinic receptor gene clusters (CHRNB3-A6 on chromosome 8 and CHRNA5-A3-B4 on chromosome 15) using 1000 Genomes data from three populations. Using Tajima's D and integrated haplotype score (iHS) tests, the authors found strong evidence for positive selection in the CHRNB3-A6 region and moderate evidence in CHRNA5-A3-B4. These regions harbor variants previously associated with nicotine dependence (rs16969968, rs1451240) and cocaine dependence. To understand the target of selection, the authors tested variants in COGA subjects (N=492) for association with cognitive phenotypes (WAIS tests) and found one significant association: rs7017612 with WAIS Digit Symbol score (β=0.43, p=0.003), suggesting memory and learning may be the driving force behind selection.

Traits studied:Alcohol dependenceCocaine dependenceCognitive functionLearningMemoryNicotine dependenceProcessing speed
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 CHRNA3

This locus encodes a member of the nicotinic acetylcholine receptor family of proteins. Members of this family of proteins form pentameric complexes comprised of both alpha and beta subunits. This locus encodes an alpha-type subunit, as it contains characteristic adjacent cysteine residues. The encoded protein is a ligand-gated ion channel that likely plays a role in neurotransmission. Polymorphisms in this gene have been associated with an increased risk of smoking initiation and an increased susceptibility to lung cancer. Alternatively spliced transcript variants have been described. [provided by RefSeq, Nov 2009]

View all CHRNA3 variants →

Gene information from NCBI Gene. Variant classifications from ClinVar.

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