2008
DOI: 10.1073/pnas.0810970105
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Chromosome 15q25.1 genetic markers associated with level of response to alcohol in humans

Abstract: As with other genetically complex common psychiatric and medical conditions, multiple genetic and environmental components contribute to alcohol use disorders (AUDs), which can confound attempts to identify genetic components. Intermediate phenotypes are often more closely correlated with underlying biology and have often proven invaluable in genetic studies. Level of response (LR) to alcohol is an intermediate phenotype for AUDs, and individuals with a low LR are at increased risk. A high rate of concurrent a… Show more

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Cited by 73 publications
(73 citation statements)
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“…Further evidence for a possible shared genetics background is supplied by Joslyn et al 95 who reported association of several SNPs in the chromosomal region of CHRNA5-CHRNA3-CHRNB4 locus (particularly rs1051730 and rs8034191) with alcohol level of response, which is considered an intermediate phenotype for alcohol addiction. 95 Age at initiation of both tobacco use and alcohol drinking was significantly associated with three other SNPs within the CHRNA5ÀCHRNA3ÀCHRNB4 locus (rs8023462, rs1948, rs514743) in a US sample of 1075 individuals of diverse ethnicity.…”
mentioning
confidence: 99%
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“…Further evidence for a possible shared genetics background is supplied by Joslyn et al 95 who reported association of several SNPs in the chromosomal region of CHRNA5-CHRNA3-CHRNB4 locus (particularly rs1051730 and rs8034191) with alcohol level of response, which is considered an intermediate phenotype for alcohol addiction. 95 Age at initiation of both tobacco use and alcohol drinking was significantly associated with three other SNPs within the CHRNA5ÀCHRNA3ÀCHRNB4 locus (rs8023462, rs1948, rs514743) in a US sample of 1075 individuals of diverse ethnicity.…”
mentioning
confidence: 99%
“…95 Age at initiation of both tobacco use and alcohol drinking was significantly associated with three other SNPs within the CHRNA5ÀCHRNA3ÀCHRNB4 locus (rs8023462, rs1948, rs514743) in a US sample of 1075 individuals of diverse ethnicity. rs8023462 and rs1948 significantly predicted early age of initiation for tobacco with a hazard ratio of 1.35 for the TT genotype of rs8023462 and a hazard ratio of 1.29 for the CC genotype of rs1948.…”
mentioning
confidence: 99%
“…In humans, certain single-nucleotide polymorphisms within this gene cluster represent risk alleles for nicotine dependence (Berrettini and Doyle, 2012), whereas other polymorphisms may influence alcohol-related behaviors (Choquet et al, 2013;Hallfors et al, 2013;Joslyn et al, 2008;Wang et al, 2009). In rodents, α5-, α3-, and β4-containing nAChRs influence the rewarding and aversive properties of nicotine (Fowler et al, 2011;Morel et al, 2013) and the symptoms accompanying its withdrawal (Jackson et al, 2013;Salas et al, 2004;Salas et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…LR can be measured through direct observations of the response to alcohol at a given blood alcohol concentration or through a retrospective questionnaire; LR can be documented very early in a person's drinking career; it predicts later heavy drinking and alcohol problems but not SUDs; and is itself 40%-60% genetic (Chung and Martin, 2009;Quinn and Fromme, 2011;Schuckit and Smith, 2013;Schuckit et al, 2012b). Studies have described the association of this lower sensitivity to alcohol with a variation in an alcohol-metabolizing enzyme active in the brain, CYP2E1 (Webb et al, 2011), a gene that affects how potassium channels in cells respond to alcohol (KCMNA1), variations in the gene for the protein that affects how the brain transports the chemical serotonin back into cells (SLC6A4), as well as additional gene variations from the cholinergic receptor complex on chromosome 15 (Choquet et al, 2013;Joslyn et al, 2008;Schuckit et al, 2001Schuckit et al, , 2005Wilhelmsen et al, 2003). The effects on heavier drinking for genes that contribute to the low LR operate partly through several environmental events (e.g., drinking in peers and reactions to stress), and the underlying mechanism may relate to a mild ineffi ciency in the amount of brain effort required to process some cognitive tasks (Paulus et al, 2012).…”
Section: Current Studies Of Genetic and Environmental Contributors Tomentioning
confidence: 99%