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Genetic variation in the CHRNA5 gene affects mRNA levels and is associated with risk for alcohol dependence

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TLDR
It is observed that a different group of polymorphisms, spanning CHRNA5-CHRNA3, demonstrate association with alcohol dependence defined by Diagnostic and Statistical Manual of Mental Disorders, 4th edn (DSM-IV) criteria.
Abstract
Alcohol dependence frequently co-occurs with cigarette smoking, another common addictive behavior. Evidence from genetic studies demonstrates that alcohol dependence and smoking cluster in families and have shared genetic vulnerability. Recently a candidate gene study in nicotine dependent cases and nondependent smoking controls reported strong associations between a missense mutation (rs16969968) in exon 5 of the CHRNA5 gene and a variant in the 3'-UTR of the CHRNA3 gene and nicotine dependence. In this study we performed a comprehensive association analysis of the CHRNA5-CHRNA3-CHRNB4 gene cluster in the Collaborative Study on the Genetics of Alcoholism (COGA) families to investigate the role of genetic variants in risk for alcohol dependence. Using the family-based association test, we observed that a different group of polymorphisms, spanning CHRNA5-CHRNA3, demonstrate association with alcohol dependence defined by Diagnostic and Statistical Manual of Mental Disorders, 4th edn (DSM-IV) criteria. Using logistic regression we replicated this finding in an independent case-control series from the family study of cocaine dependence. These variants show low linkage disequilibrium with the SNPs previously reported to be associated with nicotine dependence and therefore represent an independent observation. Functional studies in human brain reveal that the variants associated with alcohol dependence are also associated with altered steady-state levels of CHRNA5 mRNA.

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Journal ArticleDOI

Meta-analysis and imputation refines the association of 15q25 with smoking quantity

Jason Z. Liu, +107 more
- 01 May 2010 - 
TL;DR: The Oxford-GlaxoSmithKline study (Ox-GSK) as discussed by the authors performed a genome-wide meta-analysis of SNP association with smoking-related behavioral traits and found an effect on smoking quantity at a locus on 15q25 (P = 9.45 x 10(-19) that includes CHRNA5, CHRNA3 and CHRNB4.
Journal ArticleDOI

Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD

Nancy L. Saccone, +65 more
- 05 Aug 2010 - 
TL;DR: This study provides strong evidence that multiple statistically distinct loci in this region affect smoking behavior, and is the first report of association between rs588765 (and correlates) and smoking that achieves genome-wide significance.
Journal ArticleDOI

New insights into the genetics of addiction

TL;DR: This work aims to replicate genome-wide linkage and association studies that implicated several regions and genes in addiction to various substances, including alcohol and, more recently, tobacco, and to determine the functional mechanisms of these genes and variants.
References
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Book

Applied Logistic Regression

TL;DR: Hosmer and Lemeshow as discussed by the authors provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets.
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TL;DR: Applied Logistic Regression, Third Edition provides an easily accessible introduction to the logistic regression model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables.
Journal ArticleDOI

Haploview: analysis and visualization of LD and haplotype maps

TL;DR: Haploview is a software package that provides computation of linkage disequilibrium statistics and population haplotype patterns from primary genotype data in a visually appealing and interactive interface.
Journal ArticleDOI

A direct approach to false discovery rates

TL;DR: The calculation of the q‐value is discussed, the pFDR analogue of the p‐value, which eliminates the need to set the error rate beforehand as is traditionally done, and can yield an increase of over eight times in power compared with the Benjamini–Hochberg FDR method.
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