Back

Exploration of the role of CHRNA5-A3-B4 genotype in smoking behaviours

Lassi, G.; Mahedy, L.; Oliveira, A. S. F.; Dyer, M. L.; Drax, K.; Dawkins, L.; Rennard, S.; Matcham, J.; Timpson, N. J.; Eisen, T.; Munafo, M. R.

2019-10-25 neuroscience
10.1101/818252 bioRxiv
Show abstract

Genome-wide association studies have identified associations between variation at rs16969968/rs1051730 in the CHRNA5-A3-B4 gene cluster and smoking related outcomes. Experiments in rodents have described the nicotinic acetylcholine receptors (nAChRs) subunits encoded by this gene cluster and showed a lack of nicotine aversion in nAChRs deficient animal models. We conducted a nicotine challenge and a smoking topography study in humans, hypothesising that: 1. responses to a nicotine challenge would differ according to the rs16969968/rs1051730 genotype and 2. genotype may influence nicotine intake via smoking topography.\n\nWe used linear regressions to examine associations between rs16969968/rs1051730 genotype and subjective (questionnaires) and objective (physiological parameters) responses following acute nicotine exposure in never smokers (hypothesis 1) or cigarette smoking in current smokers (hypothesis 2). There was evidence to suggest nicotine exposure increases blood pressure and heart rate, and negatively affects mood, but insufficient evidence that these effects differ by genotype. Carriers of the minor allele following smoking one cigarette, exhibited reduced cravings (b=-2.46, 95% CI -4.87 to - 0.06, p=0.04) and inhaled less smoke per cigarette (b=-0.24, 95% CI - 0.43 to - 0.06, p=0.01) and per puff (b=-0.18, 95% CI -0.32 to -0.01, p=0.02). These results suggest that we need to carefully consider the translational value of the findings of aversion behaviour in nAChRs rodent models, and that deeper inhalation does not explain the strong association between rs16969968/rs1051730 genotype and objective biomarkers of tobacco exposure.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Nicotine & Tobacco Research
11 papers in training set
Top 0.1%
33.7%
2
Nicotine and Tobacco Research
13 papers in training set
Top 0.1%
12.8%
3
Addiction Biology
47 papers in training set
Top 0.2%
8.6%
50% of probability mass above
4
PLOS ONE
4510 papers in training set
Top 27%
6.5%
5
Psychopharmacology
59 papers in training set
Top 0.3%
3.1%
6
Drug and Alcohol Dependence
37 papers in training set
Top 0.3%
2.7%
7
Scientific Reports
3102 papers in training set
Top 46%
2.5%
8
BMJ Open
554 papers in training set
Top 9%
1.7%
9
eneuro
389 papers in training set
Top 6%
1.4%
10
Addiction Neuroscience
17 papers in training set
Top 0.3%
1.4%
11
Neuroscience
88 papers in training set
Top 2%
1.3%
12
Brain Sciences
52 papers in training set
Top 1%
1.3%
13
Frontiers in Neuroscience
223 papers in training set
Top 6%
1.0%
14
Behavioural Brain Research
70 papers in training set
Top 0.9%
0.9%
15
Psychological Medicine
74 papers in training set
Top 1%
0.9%
16
Neuropharmacology
60 papers in training set
Top 0.6%
0.9%
17
Pharmacology Biochemistry and Behavior
17 papers in training set
Top 0.3%
0.8%
18
Journal of Psychopharmacology
14 papers in training set
Top 0.5%
0.8%
19
ERJ Open Research
44 papers in training set
Top 0.9%
0.7%
20
PLOS Genetics
756 papers in training set
Top 15%
0.7%
21
American Journal of Preventive Medicine
11 papers in training set
Top 0.6%
0.7%
22
Clinical Epigenetics
53 papers in training set
Top 1%
0.7%
23
PLOS Medicine
98 papers in training set
Top 5%
0.7%
24
eLife
5422 papers in training set
Top 61%
0.7%
25
Alcoholism: Clinical and Experimental Research
13 papers in training set
Top 0.4%
0.7%
26
Neuropsychopharmacology
134 papers in training set
Top 3%
0.5%
27
Translational Psychiatry
219 papers in training set
Top 5%
0.5%