Caporaso Neil, Gu Fangyi, Chatterjee Nilanjan, Sheng-Chih Jin, Yu Kai, Yeager Meredith, Chen Constance, Jacobs Kevin, Wheeler William, Landi Maria Teresa, Ziegler Regina G, Hunter David J, Chanock Stephen, Hankinson Susan, Kraft Peter, Bergen Andrew W
Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland, United States of America.
PLoS One. 2009;4(2):e4653. doi: 10.1371/journal.pone.0004653. Epub 2009 Feb 27.
The contribution of common genetic variation to one or more established smoking behaviors was investigated in a joint analysis of two genome wide association studies (GWAS) performed as part of the Cancer Genetic Markers of Susceptibility (CGEMS) project in 2,329 men from the Prostate, Lung, Colon and Ovarian (PLCO) Trial, and 2,282 women from the Nurses' Health Study (NHS). We analyzed seven measures of smoking behavior, four continuous (cigarettes per day [CPD], age at initiation of smoking, duration of smoking, and pack years), and three binary (ever versus never smoking, < or = 10 versus > 10 cigarettes per day [CPDBI], and current versus former smoking). Association testing for each single nucleotide polymorphism (SNP) was conducted by study and adjusted for age, cohabitation/marital status, education, site, and principal components of population substructure. None of the SNPs achieved genome-wide significance (p<10(-7)) in any combined analysis pooling evidence for association across the two studies; we observed between two and seven SNPs with p<10(-5) for each of the seven measures. In the chr15q25.1 region spanning the nicotinic receptors CHRNA3 and CHRNA5, we identified multiple SNPs associated with CPD (p<10(-3)), including rs1051730, which has been associated with nicotine dependence, smoking intensity and lung cancer risk. In parallel, we selected 11,199 SNPs drawn from 359 a priori candidate genes and performed individual-gene and gene-group analyses. After adjusting for multiple tests conducted within each gene, we identified between two and five genes associated with each measure of smoking behavior. Besides CHRNA3 and CHRNA5, MAOA was associated with CPDBI (gene-level p<5.4x10(-5)), our analysis provides independent replication of the association between the chr15q25.1 region and smoking intensity and data for multiple other loci associated with smoking behavior that merit further follow-up.
在两项全基因组关联研究(GWAS)的联合分析中,对常见基因变异对一种或多种既定吸烟行为的影响进行了调查。这两项GWAS是作为癌症遗传易感性标记(CGEMS)项目的一部分进行的,研究对象包括前列腺、肺、结肠和卵巢癌(PLCO)试验中的2329名男性,以及护士健康研究(NHS)中的2282名女性。我们分析了吸烟行为的七个指标,四个连续性指标(每日吸烟量[CPD]、开始吸烟年龄、吸烟持续时间和吸烟包年数),以及三个二元指标(曾经吸烟与从不吸烟、每天≤10支与>10支香烟[CPDBI]、当前吸烟与曾经吸烟)。对每个单核苷酸多态性(SNP)进行关联测试时按研究分别进行,并对年龄、同居/婚姻状况、教育程度、研究地点和人群亚结构的主要成分进行了校正。在将两项研究的关联证据合并的任何联合分析中,没有一个SNP达到全基因组显著性水平(p<10^(-7));对于七个指标中的每一个,我们观察到有两到七个SNP的p值<10^(-5)。在跨越烟碱型受体CHRNA3和CHRNA5的15号染色体q25.1区域,我们鉴定出多个与CPD相关的SNP(p<10^(-3)),包括与尼古丁依赖、吸烟强度和肺癌风险相关的rs1051730。同时,我们从359个先验候选基因中选取了11199个SNP,并进行了单基因和基因组分析。在对每个基因内进行的多次测试进行校正后,我们鉴定出与每种吸烟行为指标相关的两到五个基因。除了CHRNA3和CHRNA5外,MAOA与CPDBI相关(基因水平p<5.4x10^(-5)),我们的分析为15号染色体q25.1区域与吸烟强度之间的关联提供了独立验证,并为多个其他与吸烟行为相关的基因座提供了数据,值得进一步跟进研究。