Cargando…
A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction
People who begin daily smoking at an early age are at greater risk of long-term nicotine addiction. We tested the hypothesis that associations between nicotinic acetylcholine receptor (nAChR) genetic variants and nicotine dependence assessed in adulthood will be stronger among smokers who began dail...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442220/ https://www.ncbi.nlm.nih.gov/pubmed/18618000 http://dx.doi.org/10.1371/journal.pgen.1000125 |
_version_ | 1782156696510005248 |
---|---|
author | Weiss, Robert B. Baker, Timothy B. Cannon, Dale S. von Niederhausern, Andrew Dunn, Diane M. Matsunami, Nori Singh, Nanda A. Baird, Lisa Coon, Hilary McMahon, William M. Piper, Megan E. Fiore, Michael C. Scholand, Mary Beth Connett, John E. Kanner, Richard E. Gahring, Lorise C. Rogers, Scott W. Hoidal, John R. Leppert, Mark F. |
author_facet | Weiss, Robert B. Baker, Timothy B. Cannon, Dale S. von Niederhausern, Andrew Dunn, Diane M. Matsunami, Nori Singh, Nanda A. Baird, Lisa Coon, Hilary McMahon, William M. Piper, Megan E. Fiore, Michael C. Scholand, Mary Beth Connett, John E. Kanner, Richard E. Gahring, Lorise C. Rogers, Scott W. Hoidal, John R. Leppert, Mark F. |
author_sort | Weiss, Robert B. |
collection | PubMed |
description | People who begin daily smoking at an early age are at greater risk of long-term nicotine addiction. We tested the hypothesis that associations between nicotinic acetylcholine receptor (nAChR) genetic variants and nicotine dependence assessed in adulthood will be stronger among smokers who began daily nicotine exposure during adolescence. We compared nicotine addiction—measured by the Fagerstrom Test of Nicotine Dependence—in three cohorts of long-term smokers recruited in Utah, Wisconsin, and by the NHLBI Lung Health Study, using a candidate-gene approach with the neuronal nAChR subunit genes. This SNP panel included common coding variants and haplotypes detected in eight α and three β nAChR subunit genes found in European American populations. In the 2,827 long-term smokers examined, common susceptibility and protective haplotypes at the CHRNA5-A3-B4 locus were associated with nicotine dependence severity (p = 2.0×10(−5); odds ratio = 1.82; 95% confidence interval 1.39–2.39) in subjects who began daily smoking at or before the age of 16, an exposure period that results in a more severe form of adult nicotine dependence. A substantial shift in susceptibility versus protective diplotype frequency (AA versus BC = 17%, AA versus CC = 27%) was observed in the group that began smoking by age 16. This genetic effect was not observed in subjects who began daily nicotine use after the age of 16. These results establish a strong mechanistic link among early nicotine exposure, common CHRNA5-A3-B4 haplotypes, and adult nicotine addiction in three independent populations of European origins. The identification of an age-dependent susceptibility haplotype reinforces the importance of preventing early exposure to tobacco through public health policies. |
format | Text |
id | pubmed-2442220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-24422202008-07-11 A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction Weiss, Robert B. Baker, Timothy B. Cannon, Dale S. von Niederhausern, Andrew Dunn, Diane M. Matsunami, Nori Singh, Nanda A. Baird, Lisa Coon, Hilary McMahon, William M. Piper, Megan E. Fiore, Michael C. Scholand, Mary Beth Connett, John E. Kanner, Richard E. Gahring, Lorise C. Rogers, Scott W. Hoidal, John R. Leppert, Mark F. PLoS Genet Research Article People who begin daily smoking at an early age are at greater risk of long-term nicotine addiction. We tested the hypothesis that associations between nicotinic acetylcholine receptor (nAChR) genetic variants and nicotine dependence assessed in adulthood will be stronger among smokers who began daily nicotine exposure during adolescence. We compared nicotine addiction—measured by the Fagerstrom Test of Nicotine Dependence—in three cohorts of long-term smokers recruited in Utah, Wisconsin, and by the NHLBI Lung Health Study, using a candidate-gene approach with the neuronal nAChR subunit genes. This SNP panel included common coding variants and haplotypes detected in eight α and three β nAChR subunit genes found in European American populations. In the 2,827 long-term smokers examined, common susceptibility and protective haplotypes at the CHRNA5-A3-B4 locus were associated with nicotine dependence severity (p = 2.0×10(−5); odds ratio = 1.82; 95% confidence interval 1.39–2.39) in subjects who began daily smoking at or before the age of 16, an exposure period that results in a more severe form of adult nicotine dependence. A substantial shift in susceptibility versus protective diplotype frequency (AA versus BC = 17%, AA versus CC = 27%) was observed in the group that began smoking by age 16. This genetic effect was not observed in subjects who began daily nicotine use after the age of 16. These results establish a strong mechanistic link among early nicotine exposure, common CHRNA5-A3-B4 haplotypes, and adult nicotine addiction in three independent populations of European origins. The identification of an age-dependent susceptibility haplotype reinforces the importance of preventing early exposure to tobacco through public health policies. Public Library of Science 2008-07-11 /pmc/articles/PMC2442220/ /pubmed/18618000 http://dx.doi.org/10.1371/journal.pgen.1000125 Text en Weiss et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Weiss, Robert B. Baker, Timothy B. Cannon, Dale S. von Niederhausern, Andrew Dunn, Diane M. Matsunami, Nori Singh, Nanda A. Baird, Lisa Coon, Hilary McMahon, William M. Piper, Megan E. Fiore, Michael C. Scholand, Mary Beth Connett, John E. Kanner, Richard E. Gahring, Lorise C. Rogers, Scott W. Hoidal, John R. Leppert, Mark F. A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction |
title | A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction |
title_full | A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction |
title_fullStr | A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction |
title_full_unstemmed | A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction |
title_short | A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction |
title_sort | candidate gene approach identifies the chrna5-a3-b4 region as a risk factor for age-dependent nicotine addiction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442220/ https://www.ncbi.nlm.nih.gov/pubmed/18618000 http://dx.doi.org/10.1371/journal.pgen.1000125 |
work_keys_str_mv | AT weissrobertb acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT bakertimothyb acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT cannondales acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT vonniederhausernandrew acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT dunndianem acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT matsunaminori acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT singhnandaa acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT bairdlisa acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT coonhilary acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT mcmahonwilliamm acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT pipermegane acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT fioremichaelc acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT scholandmarybeth acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT connettjohne acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT kannerricharde acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT gahringlorisec acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT rogersscottw acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT hoidaljohnr acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT leppertmarkf acandidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT weissrobertb candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT bakertimothyb candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT cannondales candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT vonniederhausernandrew candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT dunndianem candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT matsunaminori candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT singhnandaa candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT bairdlisa candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT coonhilary candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT mcmahonwilliamm candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT pipermegane candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT fioremichaelc candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT scholandmarybeth candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT connettjohne candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT kannerricharde candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT gahringlorisec candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT rogersscottw candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT hoidaljohnr candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction AT leppertmarkf candidategeneapproachidentifiesthechrna5a3b4regionasariskfactorforagedependentnicotineaddiction |