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Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs
Open accessAbstract
Nicotine dependence is one of the world's leading causes of preventable death. To discover genetic variants that influence risk for nicotine dependence, we targeted over 300 candidate genes and analyzed 3713 single nucleotide polymorphisms (SNPs) in 1050 cases and 879 controls. The Fagerström test for nicotine dependence (FTND) was used to assess dependence, in which cases were required to have an FTND of 4 or more. The control criterion was strict: control subjects must have smoked at least 100 cigarettes in their lifetimes and had an FTND of 0 during the heaviest period of smoking. After correcting for multiple testing by controlling the false discovery rate, several cholinergic nicotinic receptor genes dominated the top signals. The strongest association was from an SNP representing CHRNB3, the beta3 nicotinic receptor subunit gene (P = 9.4 x 10(-5)). Biologically, the most compelling evidence for a risk variant came from a non-synonymous SNP in the alpha5 nicotinic receptor subunit gene CHRNA5 (P = 6.4 x 10(-4)). This SNP exhibited evidence of a recessive mode of inheritance, resulting in individuals having a 2-fold increase in risk of developing nicotine dependence once exposed to cigarette smoking. Other genes among the top signals were KCNJ6 and GABRA4. This study represents one of the most powerful and extensive studies of nicotine dependence to date and has found novel risk loci that require confirmation by replication studies.
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“It has been shown that allelic variation in the α5/α3/β4 nAChR subunit gene cluster located in chromosome region 15q25 significantly increases risk of tobacco addiction (Saccone et al. 2007;Berrettini et al. 2008;Lips et al. 2010).”
From Mechanisms of Nicotine Addiction (2021) · cites this paper as Saccone et al. 2007
In the citing paper
“The most compelling evidence for risk variants contributing to smoking behavior was in the CHRNA5/A3/B4 gene cluster, which encodes the α5, α3, and β4 subunits.”
From Nicotine is a selective pharmacological chaperone of acetylcholine receptor number and stoichiometry. Implications for drug discovery (2009) · cites this paper as [91]
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“The most thoroughly investigated and replicated finding to date is the association with rs16969968, in CHRNA5 (91).”
From Nicotine is a selective pharmacological chaperone of acetylcholine receptor number and stoichiometry. Implications for drug discovery (2009) · cites this paper as [91]
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“A second signal in the CHRNA5/A3/B4 cluster is tagged by SNP rs578776; it is strongly associated with nicotine dependence and has a low correlation with rs16969968 (r2 = 0.18), indicating that it represents a statistically independent signal (90,91).”
From Nicotine is a selective pharmacological chaperone of acetylcholine receptor number and stoichiometry. Implications for drug discovery (2009) · cites this paper as [91]
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“With regard to the latter factors, initiation of smoking behavior and transition to dependence (i.e. persistent smoking) has been found to show strong heritability (60). The reported heritability coefficients range from 30% to greater than 80% (a mean of approximately 60% for initiation and 70% for progression to dependence).”
From Tobacco addiction (2008) · cites this paper as [60]
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Inference of Population Structure Using Multilocus Genotype Data
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,871
Haploview: analysis and visualization of LD and haplotype maps
Barrett, J. C., Fry, B., Maller, J., & Daly, M. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth457 · Cited by 14,551
The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire
HEATHERTON, T. F., KOZLOWSKI, L. T., FRECKER, R. C., & FAGERSTROM, K. (1991) · British Journal of Addiction · doi:10.1111/j.1360-0443.1991.tb01879.x · Cited by 10,738
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
A Direct Approach to False Discovery Rates
Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00346 · Cited by 5,603
More powerful procedures for multiple significance testing
Hochberg, Y., & Benjamini, Y. (1990) · Statistics in Medicine · doi:10.1002/sim.4780090710 · Cited by 2,715
Carlson, C. S., Eberle, M. A., Rieder, M. J., Qian, Y., Kruglyak, L., & Nickerson, D. A. (2004) · The American Journal of Human Genetics · doi:10.1086/381000 · Cited by 1,587
Tanoue, L. T. (2007) · Yearbook of Medicine · doi:10.1016/s0084-3873(08)70176-7 · Cited by 1,413
Mackay, J. M., & Eriksen, M. P. (2002) · Medical Entomology and Zoology · Cited by 1,322
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- Tapper, 2006, Neuronal nicotinic acetylcholine receptors and nicotine dependence
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Kupiainen, H., Kuokkanen, M., Kontto, J. P., Virtamo, J. R. K., Salomaa, V. V., Lindqvist, A. E., Kilpeläinen, M., & Laitinen, T. (2016) · COPD Journal of Chronic Obstructive Pulmonary Disease · doi:10.3109/15412555.2015.1049260 · Cited by 7
Zhang, X., Lan, T., Wang, T., Xue, W., Tong, X., Ma, T., Liu, G., & Lu, Q. L. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00448 · Cited by 7
Kuo, C., Chen, T., Kao, P.-H., Huang, W., Cho, C.-R., Lai, Y.-S., Yiang, G., & Kao, C.-F. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.772584 · Cited by 7
Marczyk, M., Macioszek, A., Tobiasz, J., Polańska, J., & Żyła, J. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.767358 · Cited by 7
Goldberg, L. R., & Gould, T. J. (2022) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2022.06.007 · Cited by 8
Differences in Smoking Habits of MZ and DZ Twins: A Commentary on Tishler and Carey
Kaprio, J. A. (2007) · Twin Research and Human Genetics · doi:10.1375/twin.10.5.718 · Cited by 7
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Runyon, K., Bui, T., Mazanek, S., Hartle, A. E., Marschalko, K., & Howe, W. M. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1429316 · Cited by 8
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Heydary, Y. H., Castro, E. M., Lotfipour, S., & Leslie, F. M. (2025) · Receptors · doi:10.3390/receptors4010001 · Cited by 8
Genetic Instrumental Variable Studies of Effects of Prenatal Risk Factors
Wehby, G. L., & von Hinke, S. (2013) · Biodemography and Social Biology · doi:10.1080/19485565.2013.774615 · Cited by 7
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Ferguson, E., Zhao, K., & Smillie, L. D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.044 · Cited by 6
Chaity, N. I., Sultana, T. N., Hasan, M. M., Shrabonee, I. I., Nahid, N. A., Islam, M. S., & Apu, M. N. H. (2021) · Pharmacological Reports · doi:10.1007/s43440-021-00243-1 · Cited by 8
Jha, M. K., Kim, J.-W., Kenny, P. J., Fatt, C. C., Minhajuddin, A., Salas, R., Ely, B. A., Klein, M. E., Abdallah, C. G., Xu, J., et al. (2021) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2021.105321 · Cited by 6
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Hauser, S. R., Rodd, Z. A., Deehan, G. A., Liang, T., Rahman, S., & Bell, R. L. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2021.07.008 · Cited by 7
Ramsay, J. E., Rhodes, C. H., Rajamani, K. T., & Smith, R. M. (2015) · Genes and Environment · doi:10.1186/s41021-015-0020-x · Cited by 8
Shen, B., Shi, M., Zheng, M.-Q., Hu, S., Chen, J., & Feng, J. (2012) · Molecular Medicine Reports · doi:10.3892/mmr.2012.1101 · Cited by 6
Culverhouse, R., Saccone, N. L., Stitzel, J. A., Wang, J. C. C., Steinbach, J. H., Goate, A., Schwantes-An, T.-H. L., Grucza, R. A., Stevens, V. L., & Bierut, L. J. (2010) · Human Genetics · doi:10.1007/s00439-010-0911-7 · Cited by 6
Self-citationSong, Y., Wang, Y., Xu, L. L., Ma, J., Chen, E., Zang, R., Jia, W., Tao, X., & Hu, L. (2015) · Carcinogenesis · doi:10.1093/carcin/bgv019 · Cited by 6
Melroy-Greif, W. E., Simonson, M. A., Corley, R. P., Lutz, S. M., Hokanson, J. E., & Ehringer, M. A. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw200 · Cited by 7
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Maher, B. S., Latendresse, S. J., & Vanyukov, M. M. (2016) · Prevention Science · doi:10.1007/s11121-016-0730-8 · Cited by 6
Cushing, K. C., Chiplunker, A. J., Li, A., Sung, Y. J., Geisman, T., Chen, L., Cresci, S., & Gutierrez, A. M. (2017) · Gastroenterology · doi:10.1016/s0016-5085(17)33340-1 · Cited by 6
Jackson, A. B., Toma, W. B., Contreras, K. M., Alkhlaif, Y., & Damaj, M. I. (2019) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2019.05.003 · Cited by 6
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Veerappa, A. M., Pendyala, G., & Guda, C. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.08.016 · Cited by 7
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Rothbart, M. K., Posner, M. I., & Sheese, B. E. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.016 · Cited by 8
Culverhouse, R., Chen, L.-S., Saccone, N. L., Ma, Y., Piper, M. E., Baker, T. B., & Bierut, L. J. (2019) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntz044 · Cited by 6
Self-citationBiesanz, J. C., & Wallace, J. D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.006 · Cited by 7
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Sadler, B. E., Haller, G., Edenberg, H. J., Tischfield, J. A., Brooks, A., Kramer, J., Schuckit, M. A., Nürnberger, J. I., & Goate, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134393 · Cited by 8
Self-citationTranslational Research in Nicotine AddictionPreprint
Fisher, M. L., Pauly, J. R., Froeliger, B., & Turner, J. R. (2020) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a039776 · Cited by 7
Müderrisoğlu, A., Babaoğlu, E., Korkmaz, E. T., Kalkışım, S., Karabulut, E., Emri, S., & Babaoglu, M. O. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.812715 · Cited by 6
Li, M. D., Liu, Q., Shi, X., Wang, Y., Zhu, Z., Guan, Y., He, J., Han, H., Mao, Y. Q., Ma, Y., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02599-1 · Cited by 5
AL-Eitan, L. N., Shatnawi, M., & Alghamdi, M. A. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05898-7 · Cited by 5
Genetic Risks to Nicotine Dependence Predict Negative Mood and Affect in Current Non-Smokers
Chen, X., Aggen, S. H., Chen, J., Li, L., Kendler, K. S., Blank, M. D., & Eissenberg, T. (2015) · Scientific Reports · doi:10.1038/srep09521 · Cited by 5
Determining the Causes and Consequences of Nicotine Dependence: Emerging Genetic Research Methods
Ware, J. J., & Munafo, M. R. (2014) · Current Psychiatry Reports · doi:10.1007/s11920-014-0477-5 · Cited by 5
Cebrián, A., Tarón, M., Sala, N., Ardanáz, E., Chirlaque, M., Larrañaga, N., Redondo, M. L., Sánchez, M., del Pulgar, T. G., Camps, C., et al. (2013) · Clinical & Translational Oncology · doi:10.1007/s12094-013-1080-7 · Cited by 5
Wang, Y., Peng, X., Zhu, L., Hu, L., & Song, Y. (2016) · Oncotarget · doi:10.18632/oncotarget.8510 · Cited by 5
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Widiger, T. A., & McCabe, G. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.042 · Cited by 5
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Asendorpf, J. B., & Rauthmann, J. F. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.007 · Cited by 10
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Uhl, G. R., Drgon, T., Johnson, C., & Liu, Q. (2010) · Springer eBooks · doi:10.1007/978-1-4419-0338-9_10 · Cited by 5
Dao, D. Q., Salas, R., & Biasi, M. D. (2014) · The Receptors · doi:10.1007/978-1-4939-1167-7_18 · Cited by 5
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Peterson, L. A., Urban, A. M., & Hecht, S. S. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.02080-8 · Cited by 6
Bergen, S. E., Chen, J., Dağdan, E., Tee, S. F., Goes, F. S., Houlihan, L. M., Kloiber, S. M., Kumar, R. A., Kuzman, M. R., Menke, A., et al. (2009) · Psychiatric Genetics · doi:10.1097/ypg.0b013e32832cec32 · Cited by 5
Candidate gene study for smoking, alcohol use, and body weight in a sample of pregnant women
Wehby, G. L., Prater, K., Ryckman, K. K., Kummet, C. M., & Murray, J. C. (2014) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767058.2014.932768 · Cited by 5
Shmulewitz, D., Meyers, J. L., Wall, M. M., Aharonovich, E., Frisch, A., Spivak, B., Weizman, A., Edenberg, H. J., Gelernter, J. E., & Hasin, D. S. (2016) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2016.77.227 · Cited by 5
Kamens, H. M., Corley, R. P., Richmond, P. A., Darlington, T. M., Dowell, R. D., Hopfer, C. J., Stallings, M. C., Hewitt, J. K., Brown, S. A., & Ehringer, M. A. (2016) · Behavior Genetics · doi:10.1007/s10519-016-9792-4 · Cited by 5
Nicotine Dependence and Smoking Behaviour : A genetic and epidemiological study
Broms, U. (2008) · Työväentutkimus Vuosikirja · Cited by 5
A general convex framework for multiple testing with prior informationPreprint
Dobriban, E. (2016) · arXiv (Cornell University) · Cited by 5
Ciscato, M., Chouvaeff, M., & Mourot, A. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70352 · Cited by 6
Voluntary nicotine consumption and reward in a subset of diversity outbred founder strains
Rahman, Y., Buzzi, B., Rogers, W. D., Miles, M. F., & Damaj, M. I. (2024) · Journal of Psychopharmacology · doi:10.1177/02698811241269691 · Cited by 3
CHRNA5 polymorphism and susceptibility to lung cancer in a Chinese population
Shen, B., Zhu, Q., Zheng, M.-Q., Jia, C., Shi, M., & Feng, J. (2013) · Brazilian Journal of Medical and Biological Research · doi:10.1590/s0100-879x2013005002451 · Cited by 4
Neale, M. C., Clark, S. L., Dolan, C. V., & Hunter, M. D. (2015) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.979932 · Cited by 4
Amstadter, A. B., Vellingiri, B., Bergen, S. E., Ceulemans, S., Christensen, J., Cole, J. H., Luca, V. D., Ducci, F., Tee, S. F., Hartz, S. M., et al. (2010) · Psychiatric Genetics · doi:10.1097/ypg.0b013e32833d17c3 · Cited by 4
Reithmair, M., Aichinger, E., Pfaffl, M. W., Steinlein, O. K., & Pfob, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066157 · Cited by 5
GRONS: a comprehensive genetic resource of nicotine and smoking
Fang, Z., Yang, Y., Hu, Y., Li, M. D., & Wang, J. (2017) · Database · doi:10.1093/database/bax097 · Cited by 4
Self-citationFan, R., Cui, W., Chen, J., Ma, Y., Yang, Z., Payne, T. J., Ma, J. Z., & Li, M. D. (2020) · Addiction Biology · doi:10.1111/adb.12898 · Cited by 3
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Kirisci, L., & Vanyukov, M. M. (2022) · Springer eBooks · doi:10.1007/978-3-030-95350-8_1 · Cited by 4
Kutty, A. M., Rajesh, D., Mohiyuddin, S. A., & Balakrishna, S. (2018) · Indian Journal of Cancer · doi:10.4103/ijc.ijc_325_18 · Cited by 4
Nicotinic acetylcholine receptors (version 2019.4) in the IUPHAR/BPS Guide to Pharmacology Database
Gotti, C., Marks, M. J., Millar, N. S., & Wonnacott, S. (2019) · IUPHAR/BPS Guide to Pharmacology CITE · doi:10.2218/gtopdb/f76/2019.4 · Cited by 4
Tirandaz, S. Y., Sahebihagh, M. H., Areshtanab, H. N., Jafarizadeh, H., & Jafarabadi, M. A. (2019) · Journal of Caring Sciences · doi:10.15171/jcs.2019.032 · Cited by 4
Genetics of Substance Use Disorders
Arpana Agrawal, A., & Lynskey, M. T. (2014) · Springer eBooks · doi:10.1007/978-1-4614-9509-3_7 · Cited by 4
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Liu, P., Yang, P., Wu, X., Vikis, H. G., Lü, Y., Wang, Y., Schwartz, A. G., Pinney, S. M., de Andrade, M., Gazdar, A. F., et al. (2010) · Cancer Research · doi:10.1158/0008-5472.can-09-3583 · Cited by 4
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Maier, W., Giegling, I., & Rujescu, D. (2017) · Springer eBooks · doi:10.1007/978-3-662-49295-6_5 · Cited by 5
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Duffy, E. P., Bachtell, R. K., & Ehringer, M. A. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105487 · Cited by 4
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Tavee, J. O. (2012) · Neurology Clinical Practice · doi:10.1212/cpj.0b013e31825a7812 · Cited by 4
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Hakulinen, C. A., Jokela, M. M., Mika Kivimaki, B., & Elovainio, M. J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.018 · Cited by 4
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Eysenck, M. W., & Holmes, A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.033 · Cited by 3
Salgado, J. F., Anderson, N. R., & Moscoso, S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.040 · Cited by 4
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Grzywacz, E., Grzymkowska, M., Chmielowiec, J., Grzywacz, A., Strońska-Pluta, A., Masiak, J., & Chmielowiec, K. (2022) · Polish Journal of Public Health · doi:10.2478/pjph-2022-0004 · Cited by 3
Bierut, L. J., Biroli, P., Galama, T. J., & Thom, K. (2023) · Journal of Economic Psychology · doi:10.1016/j.joep.2023.102636 · Cited by 3
Self-citationLa adicción a la nicotina: vulnerabilidad, epigénesis y modelos animales de estudio
Pastor, V. E., Vázquez, P., Corapi, E., & Bernabeu, R. (2013) · Revista Argentina de Ciencias del Comportamiento ( RACC ) · doi:10.32348/1852.4206.v5.n2.5148 · Cited by 3
Li, M. D. (2018) · Springer eBooks · doi:10.1007/978-981-10-7530-8_5 · Cited by 3
Nicotine Dependency and Its Relationship With Emotional Intelligence Among Male Smoker Employees
Tirandaz, S. Y., Sahebihagh, M. H., Areshtanab, H. N., Jafarizadeh, H., & Jafarabadi, M. A. (2020) · Journal of Research and Health · doi:10.32598/jrh.10.3.1492.1 · Cited by 3
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Raad, B. D., & Barelds, D. P. H. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.012 · Cited by 4
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Matthews, G. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.028 · Cited by 5
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Mooney‐Leber, S. M., Caruso, M. J., Gould, T. J., Cavigelli, S. A., & Kamens, H. M. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15421 · Cited by 4
Ortega, V. E. (2016) · Respiratory medicine · doi:10.1007/978-3-319-43447-6_13 · Cited by 3
Nicotine Dependence and Pharmacogenetics
Ray, R., Schnoll, R. A., & Lerman, C. E. (2010) · Springer eBooks · doi:10.1007/978-0-387-09488-5_32 · Cited by 3
Capacity building and collaborative research on cross-national studies in the Asian region
Hser, Y., Chang, L., Wang, G., Li, M. D., Rawson, R. A., SHOPTAW, S. J., Normand, J., & Tai, B. (2013) · Journal of Food and Drug Analysis · doi:10.1016/j.jfda.2013.09.048 · Cited by 3
Kachhap, S. K., Keshamouni, V. G., Qian, D. Z., & Chatterjee, A. (2011) · Journal of Oncology · doi:10.1155/2011/172678 · Cited by 3
Popp, N. A., Agrón, E., Hageman, G. S., Tuo, J., Chew, E. Y., & Chan, C. (2016) · Current Eye Research · doi:10.1080/02713683.2016.1196708 · Cited by 4
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Szalma, J. L. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.030 · Cited by 3
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Dragūns, J. G., & Tanaka‐Matsumi, J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.037 · Cited by 4
Carcinogenic Effects of Cigarette Smoke on the Respiratory Tract*
Peterson, L. A., Urban, A. M., & Hecht, S. S. (2010) · Elsevier eBooks · doi:10.1016/b978-0-08-046884-6.00919-2 · Cited by 3
Mathur, R., Fang, F., Gaddis, N., Hancock, D. B., Cho, M. H., Hokanson, J. E., Bierut, L. J., Lutz, S. M., Young, K. A., Smith, A. V., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-03738-6 · Cited by 4
Self-citationCHRNA5/CHRNA3 polymorphisms and tobacco smoking risk in a Brazilian population sample
Mota, C. D. L., Mitri, S., Barata-Silva, C., & Moreira, J. C. (2020) · GSC Biological and Pharmaceutical Sciences · doi:10.30574/gscbps.2020.12.2.0253 · Cited by 4
Rennard, S. I. (2008) · Proceedings of the American Thoracic Society · doi:10.1513/pats.200807-060th · Cited by 2
Ortega, V. E., & Bleecker, E. R. (2015) · Elsevier eBooks · doi:10.1016/b978-1-4557-3383-5.00045-2 · Cited by 4
Weighted mining of massive collections of P-values by convex optimization
Dobriban, E. (2017) · Information and Inference A Journal of the IMA · doi:10.1093/imaiai/iax013 · Cited by 10
Nguyen, N., Zhang, Z., Jiang, X., van Unen, N., dos Santos, J. C., Zhou, L., Matzaraki, V., Botey-Bataller, J., Blaauw, M. J. T., Vos, W. A. J. W., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-70889-z · Cited by 2
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Lee, S., Barrie, E. S., Sadée, W., & Smith, R. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813035-3.00043-5 · Cited by 2
Konjevod, M., Perković, M. N., Štrac, D. Š., Uzun, S., Erjavec, G. N., Kozumplik, O., Tudor, L., Mimica, N., Hirasawa-Fujita, M., Domino, E. F., et al. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113278 · Cited by 2
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McLean, K. C., Syed, M., Haraldsson, K. G., & Lowe, L. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.035 · Cited by 2
Lynam, D. R., Vize, C. E., & Miller, J. D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.043 · Cited by 2
Jayawickreme, E., & Zachry, C. E. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.032 · Cited by 2
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Mota, C. D. L., Barata-Silva, C., Moreira, J. C., & Mitri, S. (2023) · Cadernos Saúde Coletiva · doi:10.1590/1414-462x202331010250 · Cited by 2
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Gotti, C., Marks, M. J., Millar, N. S., & Wonnacott, S. (2023) · IUPHAR/BPS Guide to Pharmacology CITE · doi:10.2218/gtopdb/f76/2023.3 · Cited by 2
Yang, C., Wei, Y.-S., Li, C.-I., Liu, C.-S., Lin, C.-H., Li, T., & Li, T. (2024) · Alcohol and Alcoholism · doi:10.1093/alcalc/agae039 · Cited by 2
Venkatesh, S. K., Stangl, B. L., Yan, J., Cardé, N. A. Q., Stein, E. A., Diazgranados, N., Schwandt, M. L., Sun, H., Momenan, R., Goldman, D. A., et al. (2024) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyae035 · Cited by 2
Horn, S. V., Driscoll, H. E., & Toufexis, D. J. (2025) · Brain and Behavior · doi:10.1002/brb3.70444 · Cited by 2
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Metadata
- Authors
- Saccone, S. F., Hinrichs, A. L., Saccone, N. L., Chase, G. A., Konvicka, K., Madden, P. A. F., Breslau, N., Johnson, E. O., Hatsukami, D., Pomerleau, O., Swan, G. E., Goate, A. M., Rutter, J., Bertelsen, S., Fox, L., Fugman, D., Martin, N. G., Montgomery, G. W., Wang, J. C., Ballinger, D. G., Rice, J. P., & Bierut, L. J.
- Affiliations
- Washington University in St. Louis (US)
- Pennsylvania State University (US)
- Perlegen (United States) (US)
- Michigan State University (US)
- RTI International (US)
- University of Minnesota (US)
- University of Michigan (US)
- SRI International (US)
- National Institute on Drug Abuse (US)
- Rutgers, The State University of New Jersey (US)
- QIMR Berghofer Medical Research Institute (AU)
- Corresponding author
- Saccone, Scott F.
- ORCID
- Venue
- Human Molecular Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-11-29
- Volume
- 16
- Issue
- 1
- Pages
- 36-49
- ISSN
- 0964-6906 (ISSN-L)
- 1460-2083
- PMC
- PMC2270437
- OpenAlex
- W2118320202
- Cited by
- 850
- References
- 48
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 12 · 2023: 20 · 2022: 16 · 2021: 24 · 2020: 65 · 2019: 37 · 2018: 35 · 2017: 35 · 2016: 54 · 2015: 51 · 2014: 48 · 2013: 58 · 2012: 86
- FWCI
- 31.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Molecular Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institute on Drug Abuse (R56DA012854, DA12854, DA015129, N01DA07079, K01DA015129, R01DA012854)
- National Cancer Institute (CA89392, P01CA089392)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nicotinic Acetylcholine Receptors Study
- Keywords
- nicotine dependence, CHRNA5, single nucleotide polymorphisms, genetic association, genetic susceptibility loci, recessive inheritance, KCNJ6, GABRA4, smoking, Fagerström Test for Nicotine Dependence
- MeSH terms
- Adult, Aged, Aged, 80 and over, Chromosomes, Human, Pair 8, Female, Genetic Markers, Genotype, Humans, Male, Middle Aged, Receptors, Nicotinic, Tobacco Use Disorder, Genetic Variation, Cluster Analysis, Case-Control Studies, Polymorphism, Single Nucleotide
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