Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts

Autor: Matt McGue, Susanne Lucae, Judy A. Andrews, Howard J. Edenberg, Mary Jeanne Kreek, Norbert Dahmen, David Huizinga, Wolfgang Gaebel, Nancy L. Saccone, Andrew W. Bergen, Elaine C. Johnstone, Tamara L. Wall, Michael Steffens, Robert B. Weiss, Monika Ridinger, Eric O. Johnson, Tae Hwi Schwantes-An, Laura J. Bierut, Ina Giegling, Grant W. Montgomery, Ming T. Tsuang, Noora Rouvinen-Lagerström, Andrew C. Heath, Pamela A. F. Madden, Momchil Nikolov, Per Hoffmann, Josef Frank, John I. Nurnberger, Michael Soyka, Jens Treutlein, Norbert Wodarz, Helen M. Kamens, Sirkku T. Saarikoski, Elliot C. Nelson, Timo Partonen, Kenneth S. Kendler, Alexandre A. Todorov, Henry R. Kranzler, Michael M. Vanyukov, Leena Kovanen, Mark W. Reid, Paul Aveyard, Denise Nishita, Gary E. Swan, Kenneth Krauter, Falk Kiefer, Maureen Reynolds, Robert Culverhouse, Michael C. Stallings, Whitney E. Melroy, Richard J. Rose, Christian J. Hopfer, Bao-Zhu Yang, Alec Roy, David Goldman, Michael C. Neale, Michael F. Murphy, Christine Schmäl, Tatiana Foroud, Joel Gelernter, Dan Rujescu, Hilary Coon, Juan Zhang, Marissa A. Ehringer, Richard A. Grucza, Stephen J. Glatt, Bertram Müller-Myhsok, Annette M. Hartmann, Robert A. Philibert, Antti Latvala, Peter Zill, Stefan Herms, Bettina Konte, Norbert Scherbaum, Michael T. Lynskey, John K. Hewitt, Colin A. Hodgkinson, Ivo Kremensky, Vadim Yuferov, Marcus R. Munafò, William G. Iacono, Olga Beltcheva, Sandra A. Brown, Sven Cichon, Marcus Ising, Jaakko Kaprio, Manuel Mattheisen, Sarah M. Hartz, Karl Mann, Michele L. Pergadia, Li-Shiun Chen, Jason D. Robinson, Pei Hong Shen, Hyman Hops, Dale S. Cannon, Jingchun Chen, Radka Kaneva, Nicholas G. Martin, Wolfgang Maier, Xiangning Chen, Louisa Degenhardt, Brion S. Maher, Lisa N. Legrand, Robin P. Corley, Paul M. Cinciripini, Jill Hardin, Robert E. Ferrell, Marcella Rietschel, Markus M. Nöthen, Orna Levran
Přispěvatelé: Clinicum, Department of Public Health, Jaakko Kaprio / Principal Investigator, Institute for Molecular Medicine Finland, Genetic Epidemiology
Rok vydání: 2014
Předmět:
0301 basic medicine
Male
Medizin
Receptors
Opioid
mu
Brain and Behaviour
Cohort Studies
0302 clinical medicine
Gene Frequency
Child
Genetics (clinical)
media_common
biology
Substance dependence
Tobacco and Alcohol
3142 Public health care science
environmental and occupational health
3. Good health
Meta-analysis
medicine.drug
Adult
OPRM1
medicine.medical_specialty
Adolescent
515 Psychology
Substance-Related Disorders
media_common.quotation_subject
education
Addiction
Polymorphism
Single Nucleotide
White People
Article
Cocaine dependence
03 medical and health sciences
Single nucleotide polymorphism (SNP)
Genetics
medicine
Humans
Genetic Predisposition to Disease
Psychiatry
Allele frequency
Ecology
Evolution
Behavior and Systematics
Alleles
Genetic Association Studies
business.industry
Case-control study
biology.organism_classification
medicine.disease
030104 developmental biology
Opioid
Case-Control Studies
Sample Size
Genetic association
3111 Biomedicine
Cannabis
Opioid receptor
business
030217 neurology & neurosurgery
Zdroj: Europe PubMed Central
Schwantes-An, T-H, Zhang, J, Chen, L-S, Hartz, S M, Culverhouse, R C, Chen, X, Coon, H, Frank, J, Kamens, H M, Konte, B, Kovanen, L, Latvala, A, Legrand, L N, Maher, B S, Melroy, W E, Nelson, E C, Reid, M W, Robinson, J D, Shen, P-H, Yang, B-Z, Andrews, J A, Aveyard, P, Beltcheva, O, Brown, S A, Cannon, D S, Cichon, S, Corley, R P, Dahmen, N, Degenhardt, L, Foroud, T, Gaebel, W, Giegling, I, Glatt, S J, Grucza, R A, Hardin, J, Hartmann, A M, Heath, A C, Herms, S, Hodgkinson, C A, Hoffmann, P, Hops, H, Huizinga, D, Ising, M, Johnson, E O, Johnstone, E, Kaneva, R P, Kendler, K S, Kiefer, F, Kranzler, H R, Krauter, K S, Levran, O, Lucae, S, Lynskey, M T, Maier, W, Mann, K, Martin, N G, Mattheisen, M, Montgomery, G W, Müller-Myhsok, B, Murphy, M F, Neale, M C, Nikolov, M A, Nishita, D, Nöthen, M M, Nurnberger, J, Partonen, T, Pergadia, M L, Reynolds, M, Ridinger, M, Rose, R J, Rouvinen-Lagerström, N, Scherbaum, N, Schmäl, C, Soyka, M, Stallings, M C, Steffens, M, Treutlein, J, Tsuang, M, Wall, T L, Wodarz, N, Yuferov, V, Zill, P, Bergen, A W, Chen, J, Cinciripini, P M, Edenberg, H J, Ehringer, M A, Ferrell, R E, Gelernter, J, Goldman, D, Hewitt, J K, Hopfer, C J, Iacono, W G, Kaprio, J, Kreek, M J, Kremensky, I M, Madden, P A F, McGue, M, Munafò, M R, Philibert, R A, Rietschel, M, Roy, A, Rujescu, D, Saarikoski, S T, Swan, G E, Todorov, A A, Vanyukov, M M, Weiss, R B, Bierut, L J & Saccone, N L 2016, ' Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts ', Behavior Genetics, vol. 46, no. 2, pp. 151–169 . https://doi.org/10.1007/s10519-015-9737-3
Schwantes-An, T-H, Zhang, J, Chen, L-S, Hartz, S M, Culverhouse, R C, Chen, X, Coon, H, Frank, J, Kamens, H M, Konte, B, Kovanen, L, Latvala, A, Legrand, L N, Maher, B S, Melroy, W E, Nelson, E C, Reid, M W, Robinson, J D, Shen, P-H, Yang, B-Z, Andrews, J A, Aveyard, P, Beltcheva, O, Brown, S A, Cannon, D S, Cichon, S, Corley, R P, Dahmen, N, Degenhardt, L, Foroud, T, Gaebel, W, Giegling, I, Glatt, S J, Grucza, R A, Hardin, J, Hartmann, A M, Heath, A C, Herms, S, Hodgkinson, C A, Hoffmann, P, Hops, H, Huizinga, D, Ising, M, Johnson, E O, Johnstone, E, Kaneva, R P, Kendler, K S, Kiefer, F, Kranzler, H R, Krauter, K S, Levran, O, Lucae, S, Lynskey, M T, Maier, W, Mann, K, Martin, N G, Mattheisen, M, Montgomery, G W, Müller-Myhsok, B, Murphy, M F, Neale, M C, Nikolov, M A, Nishita, D, Nöthen, M M, Nurnberger, J, Partonen, T, Pergadia, M L, Reynolds, M, Ridinger, M, Rose, R J, Rouvinen-Lagerström, N, Scherbaum, N, Schmäl, C, Soyka, M, Stallings, M C, Steffens, M, Treutlein, J, Tsuang, M, Wall, T L, Wodarz, N, Yuferov, V, Zill, P, Bergen, A W, Chen, J, Cinciripini, P M, Edenberg, H J, Ehringer, M A, Ferrell, R E, Gelernter, J, Goldman, D, Hewitt, J K, Hopfer, C J, Iacono, W G, Kaprio, J, Kreek, M J, Kremensky, I M, Madden, P A F, McGue, M, Munafò, M R, Philibert, R A, Rietschel, M, Roy, A, Rujescu, D, Saarikoski, S T, Swan, G E, Todorov, A A, Vanyukov, M M, Weiss, R B, Bierut, L J & Saccone, N L 2016, ' Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts ', Behavior Genetics, vol. 46, no. 2, pp. 151-169 . https://doi.org/10.1007/s10519-015-9737-3
ISSN: 1573-3297
Popis: The mu1 opioid receptor gene, OPRM1, has long been a high-priority candidate for human genetic studies of addiction. Because of its potential functional significance, the non-synonymous variant rs1799971 (A118G, Asn40Asp) in OPRM1 has been extensively studied, yet its role in addiction has remained unclear, with conflicting association findings. To resolve the question of what effect, if any, rs1799971 has on substance dependence risk, we conducted collaborative meta-analyses of 25 datasets with over 28,000 European-ancestry subjects. We investigated non-specific risk for “general” substance dependence, comparing cases dependent on any substance to controls who were non-dependent on all assessed substances. We also examined five specific substance dependence diagnoses: DSM-IV alcohol, opioid, cannabis, and cocaine dependence, and nicotine dependence defined by the proxy of heavy/light smoking (cigarettes-per-day >20 vs. ≤10). The G allele showed a modest protective effect on general substance dependence (OR = 0.90, 95 % C.I. [0.83–0.97], p value = 0.0095, N = 16,908). We observed similar effects for each individual substance, although these were not statistically significant, likely because of reduced sample sizes. We conclude that rs1799971 contributes to mechanisms of addiction liability that are shared across different addictive substances. This project highlights the benefits of examining addictive behaviors collectively and the power of collaborative data sharing and meta-analyses.
Databáze: OpenAIRE
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