Joel Gelernter1, Henry R Kranzler2, Richard Sherva3, Laura Almasy4, Aryeh I Herman5, Ryan Koesterer3, Hongyu Zhao6, Lindsay A Farrer7. 1. Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, New Haven; Departments of Genetics and Neurobiology, Veterans Affairs Connecticut Healthcare Center, West Haven, Connecticut. Electronic address: joel.gelernter@yale.edu. 2. Department of Psychiatry, Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, and Veterans Integrated Service Network 4 Mental Illness Research, Educational, and. Clinical Center, Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania. 3. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts. 4. Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas. 5. Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, New Haven; Departments of Genetics and Neurobiology, Veterans Affairs Connecticut Healthcare Center, West Haven, Connecticut. 6. Departments Biostatistics and Genetics, Yale School of Public Health, New Haven, Connecticut. 7. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts; Departments of Neurology, Ophthalmology, Genetics and Genomics, and Epidemiology and Biostatistics, Boston University Schools of Medicine and Public Health, Boston, Massachusetts.
Abstract
BACKGROUND: We report a genome-wide association study (GWAS) of nicotine dependence defined on the basis of scores on the Fagerström Test for Nicotine Dependence in European-American (EA) and African-American (AA) populations. METHODS: Our sample, from the one used in our previous GWAS, included only subjects who had smoked >100 cigarettes lifetime (2114 EA and 2602 AA subjects) and an additional 927 AA and 2003 EA subjects from the Study of Addiction: Genetics and Environment project [via the database of Genotypes and Phenotypes (dbGAP)]. GWAS analysis considered Fagerström Test for Nicotine Dependence score as an ordinal trait, separately in each population and sample and by combining the results in meta-analysis. We also conducted analyses that were adjusted for other substance use disorder criteria in a single nucleotide polymorphism (SNP) subset. RESULTS: In EAs, one chromosome 7 intergenic region was genome-wide significant (GWS): rs13225753, p = 3.48 × 10(-8) (adjusted). In AAs, GWS associations were observed at numerous SNPs mapped to a region on chromosome 14 of >305,000 base pairs (minimal p = 4.74 × 10(-10)). Two chromosome 8 regions were associated: p = 4.45 × 10(-8) at DLC1 SNP rs289519 (unadjusted) and p = 1.10 × 10(-9) at rs6996964 (adjusted for other substances), located between CSGALNACT1 and INTS10. No GWS associations were observed at the chromosome 15 nicotinic receptor gene cluster (CHRNA5-CHRNA3-CHRNB4) previously associated with nicotine dependence and smoking quantity traits. TSNAX-DISC1 SNP rs821722 (p = 1.46 × 10(-7)) was the most significant result with substantial contributions from both populations; we previously identified DISC1 associations with opioid dependence. Pathway analysis identified association with nitric oxide synthase and adenosine monophosphate-activated protein kinase pathways in EAs. CONCLUSIONS: The key risk loci identified, which require replication, offer novel insights into nicotine dependence biology.
BACKGROUND: We report a genome-wide association study (GWAS) of nicotine dependence defined on the basis of scores on the Fagerström Test for Nicotine Dependence in European-American (EA) and African-American (AA) populations. METHODS: Our sample, from the one used in our previous GWAS, included only subjects who had smoked >100 cigarettes lifetime (2114 EA and 2602 AA subjects) and an additional 927 AA and 2003 EA subjects from the Study of Addiction: Genetics and Environment project [via the database of Genotypes and Phenotypes (dbGAP)]. GWAS analysis considered Fagerström Test for Nicotine Dependence score as an ordinal trait, separately in each population and sample and by combining the results in meta-analysis. We also conducted analyses that were adjusted for other substance use disorder criteria in a single nucleotide polymorphism (SNP) subset. RESULTS: In EAs, one chromosome 7 intergenic region was genome-wide significant (GWS): rs13225753, p = 3.48 × 10(-8) (adjusted). In AAs, GWS associations were observed at numerous SNPs mapped to a region on chromosome 14 of >305,000 base pairs (minimal p = 4.74 × 10(-10)). Two chromosome 8 regions were associated: p = 4.45 × 10(-8) at DLC1 SNP rs289519 (unadjusted) and p = 1.10 × 10(-9) at rs6996964 (adjusted for other substances), located between CSGALNACT1 and INTS10. No GWS associations were observed at the chromosome 15 nicotinic receptor gene cluster (CHRNA5-CHRNA3-CHRNB4) previously associated with nicotine dependence and smoking quantity traits. TSNAX-DISC1 SNP rs821722 (p = 1.46 × 10(-7)) was the most significant result with substantial contributions from both populations; we previously identified DISC1 associations with opioid dependence. Pathway analysis identified association with nitric oxide synthase and adenosine monophosphate-activated protein kinase pathways in EAs. CONCLUSIONS: The key risk loci identified, which require replication, offer novel insights into nicotine dependence biology.
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