Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD
Recently, genetic association findings for nicotine dependence, smoking behavior, and smoking-related diseases converged to implicate the chromosome 15q25.1 region, which includes the CHRNA5-CHRNA3-CHRNB4 cholinergic nicotinic receptor subunit genes. In particular, association with the nonsynonymous...
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Published in | PLoS genetics Vol. 6; no. 8; p. e1001053 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
01.08.2010
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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Summary: | Recently, genetic association findings for nicotine dependence, smoking behavior, and smoking-related diseases converged to implicate the chromosome 15q25.1 region, which includes the CHRNA5-CHRNA3-CHRNB4 cholinergic nicotinic receptor subunit genes. In particular, association with the nonsynonymous CHRNA5 SNP rs16969968 and correlates has been replicated in several independent studies. Extensive genotyping of this region has suggested additional statistically distinct signals for nicotine dependence, tagged by rs578776 and rs588765. One goal of the Consortium for the Genetic Analysis of Smoking Phenotypes (CGASP) is to elucidate the associations among these markers and dichotomous smoking quantity (heavy versus light smoking), lung cancer, and chronic obstructive pulmonary disease (COPD). We performed a meta-analysis across 34 datasets of European-ancestry subjects, including 38,617 smokers who were assessed for cigarettes-per-day, 7,700 lung cancer cases and 5,914 lung-cancer-free controls (all smokers), and 2,614 COPD cases and 3,568 COPD-free controls (all smokers). We demonstrate statistically independent associations of rs16969968 and rs588765 with smoking (mutually adjusted p-values<10(-35) and <10(-8) respectively). Because the risk alleles at these loci are negatively correlated, their association with smoking is stronger in the joint model than when each SNP is analyzed alone. Rs578776 also demonstrates association with smoking after adjustment for rs16969968 (p<10(-6)). In models adjusting for cigarettes-per-day, we confirm the association between rs16969968 and lung cancer (p<10(-20)) and observe a nominally significant association with COPD (p = 0.01); the other loci are not significantly associated with either lung cancer or COPD after adjusting for rs16969968. This study provides strong evidence that multiple statistically distinct loci in this region affect smoking behavior. This study is also the first report of association between rs588765 (and correlates) and smoking that achieves genome-wide significance; these SNPs have previously been associated with mRNA levels of CHRNA5 in brain and lung tissue. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 Current address: Pharmaceutical Research and Development, Roche Pharmaceuticals, Nutley, New Jersey, United States of America Conceived and designed the experiments: NLS RCC THSA DSC XC SC IG SH YH KKV XK MTL JZM SES SHS VLS YW NB PB ACH MH NRH DJH MKJ NGM GWM TJP LP MLP JPR MRS JCW RBW NEC MAE TE SMG JG RSH JK KSK PK MFL MDL PAFM MMN MR DR AS CIA LJB. Performed the experiments: NLS RCC THSA XK SES SHS VLS YW PB JC NRH JCW SHW MAE TE RSH JK PK SP CIA LJB. Analyzed the data: NLS RCC THSA DSC XC SC SH YH KKV XK JZM SES SHS LS YW ASW SHA PB NC NRH TN RS MRS JS WW BZY MAE TE RSH SP CIA LJB. Wrote the paper: NLS RCC THSA DSC IG SH KKV JZM SES SHS VLS LS NB MH NRH NGM GWM TN TJP LP MLP JPR RS MRS JCW RBW BZY MAE JG JK PK MDL PAFM DR AS CIA LJB. Contributed analysis tools: NLS RCC THSA YH CIA. Performed meta-analysis: NLS RCC THSA LS. Wrote first draft of paper: NLS RCC THSA LS LJB. |
ISSN: | 1553-7404 1553-7390 1553-7404 |
DOI: | 10.1371/journal.pgen.1001053 |