Is there a gene that can help you avoid heavy smoking?

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Having a particular form of a gene linked to the body's nicotine receptors may make you less likely to become a heavy smoker, according to international scientists. They looked at the entire genetic code of 37,897 smokers in Mexico, and identified a variant of a gene called CHRNB3 that appeared to make people smoke less. The gene controls a particular subunit of the nicotine receptors, called β3. People with one or two copies of the variant gene smoked approximately 21% or 78% fewer cigarettes, respectively, than people with the more common version of the gene, they found. The team then tested to see if the link held true among 130,000 British and 180,000 Japanese people using local genetic data, which it did. The findings suggest carrying the gene variant may reduce the number of cigarettes people smoke and that the subunit β3 could be a potential target for treatments which aim to help smokers quit, the authors conclude.

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From: Springer Nature

Gene variant associated with reduced smoking across populations

Variants in a nicotine receptor gene are associated with a lower likelihood of heavy smoking, according to a study published in Nature Communications. The findings are based on data from populations in Mexico and validated in populations with Asian and European ancestries.

Variants in the genes encoding nicotinic acetylcholine receptors, which mediate the ‘rewarding’ effects of nicotine on the brain, have been linked to changes in smoking behaviour in individuals. For example, variants in a gene called CHRNB2, which encodes one subunit (β2) of these receptors (of which there are at least nine subunit types) have been linked to reduced likelihood of heavy smoking. However, further insights may be gained from studying the relationship between smoking frequency and variants in the genes coding for other nicotinic acetylcholine receptor subunits.

Veera Rajagopal and colleagues sequenced the genomes of 37,897 current smokers who participated in the Mexico City Prospective Study (a study into the factors affecting the health of this population).  The authors identified a variant in CHRNB3 (the gene which encodes the subunit) that is associated with lower daily cigarette consumption amongst smokers. Compared with individuals carrying the more common version of the gene, those with one or two copies of the variant gene smoked approximately 21% or 78% fewer cigarettes, respectively. This variant was more commonly observed amongst people of Indigenous Mexican ancestry than in other populations. Similar effects involving variants in CHRNB3 were found in populations of approximately 130,000 people with European ancestry from UK Biobank and roughly 180,000 with East Asian ancestry from the Biobank Japan. The authors note that larger cohorts and more robust investigation of the clinical measures indicating nicotine dependence will be needed to fully evaluate the relationship between these variants and smoking dependency.

Together, these data indicate that genetic variants affecting the activity of CHRNB3 may reduce the number of cigarettes that smokers consume per day across diverse ancestries. This finding suggests that inhibition of the β3 subunit may be a potential therapeutic strategy for nicotine addiction.

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Nature Communications
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Organisation/s: Regeneron Genetics Center, USA
Funder: The exome sequencing was funded by the UK Biobank Exome Sequencing Consortium (i.e., Bristol Myers Squibb, Regeneron, Biogen, Takeda, AbbVie, Alnylam, AstraZeneca, and Pfizer). The MCPS has received funding from the Mexican Health Ministry, the National Council of Science and Technology for Mexico, the Wellcome Trust (058299/Z/99), Cancer Research UK, British Heart Foundation, and the UK Medical Research Council (MC_UU_00017/2, MR/Z504543/1). Genotyping, exome sequencin,g and whole genome sequencing was funded through an academic partnership between the National Autonomous University ofMexico, the University of Oxford, Regeneron, AstraZeneca, and Abbvie. The computational aspects of this research were supported by the Wellcome Trust Core Award Grant Number 203141/Z/16/Z and the NIHR Oxford BRC.
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