Associations of nicotine intake measures with CHRN genes in Finnish smokers.
Associations of nicotine intake measures with CHRN genes in Finnish smokers.
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芬兰吸烟者尼古丁摄入量与 CHRN 基因的关联。
DOI:
10.1093/ntr/ntr059
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发表时间:
2011
期刊:
影响因子:
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通讯作者:
Kaprio,Jaakko
中科院分区:
文献类型:
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作者:
Keskitalo-Vuokko,Kaisu;Pitkäniemi,Janne;Broms,Ulla;Heliövaara,Markku;Aromaa,Arpo;Perola,Markus;Ripatti,Samuli;Salminen,Outi;Salomaa,Veikko;Loukola,Anu;Kaprio,Jaakko
IntroductionGenetic effects contribute to individual differences in smoking behavior. Persistence to smoke despite known harmful health effects is mostly driven by nicotine addiction. As the physiological effects of nicotine are mediated by nicotinic acetylcholine receptors (nAChRs), we aimed at examining whether single nucleotide polymorphisms (SNPs) residing in nAChR subunit (CHRN) genes, other thanCHRNA3/CHRNA5/CHRNB4gene cluster previously showing association in our sample, are associated with smoking quantity or serum cotinine levels.MethodsThe study sample consisted of 485 Finnish adult daily smokers (age 30–75 years, 59% men) assessed for the number of cigarettes smoked per day (CPD) and serum cotinine level. We first studied SNPs residing on selected nAChR subunit genes (CHRNA2,CHRNA4,CHRNA6/CHRNB3,CHRNA7,CHRNA9,CHRNA10,CHRNB2,CHRNG/CHRND) genotyped within a genome-wide association study for single SNP and multiple SNP associations by ordinal regression. Next, we explored individual haplotype associations using sliding window technique.ResultsAt one of the 8 loci studied,CHRNG/CHRND(chr2), single SNP (rs1190452), multiple SNP, and 2-SNP haplotype analyses (SNPs rs4973539–rs1190452) all showed statistically significant association with cotinine level. The median cotinine levels varied between the 2-SNP haplotypes from 220 ng/ml (AA haplotype) to 249 ng/ml (AG haplotype). We did not observe significant associations with CPD.ConclusionsThese results provide further evidence that the γ−δ nAChR subunit gene region is associated with cotinine levels but not with the number of CPD, illustrating the usefulness of biomarkers in genetic analyses.