Strong genetic contributions to individual differences in vulnerability to addictions are well supported by classical genetic studies. Linkage and association genome scans for addiction vulnerability have provided converging evidence for several chromosomal regions which are likely to harbor allelic variants that contribute to such vulnerability. We and others have delineated a candidate addiction-associated chromosome 4p12 "rSA3" region based on convergent data from association genome scanning studies in polysubstance abusers [Uhl et al. (2001); Am J Hum Genet 69(6):1290-1300], linkage-based studies in alcoholism [Long et al. (1998); Am J Med Genet 81(3):216-221; Reich et al. (1998); Am J Med Genet 81(3):207-215] and association-based studies for alcoholism and association-based studies for individual differences in electroencephalographic (EEG) spectral power phenotypes [Porjesz et al. (2002); Proc Natl Acad Sci USA 99(6):3729-3733; Edenberg et al. (2004); Am J Hum Genet 74(4):705-714]. The rSA3 region contains interesting candidate genes that encode the alpha 2, alpha 4, beta 1, and gamma 1 receptor subunits for the principal brain inhibitory neurotransmitter, gamma-aminobutyric acid (GABA) [Covault et al. (2004); Am J Med Genet Part B 129B:104-109; Edenberg et al. (2004); Am J Hum Genet 74(4):705-714; Lappalainen et al. (2005); Alcohol Clin Exp Res 29(4):493-498]. We now report assessment of single nucleotide polymorphism (SNP) genotypes in this region in three samples of substance abusers and controls. These results delineate the haplotypes and patterns of linkage disequilibrium in this region, focus attention of the GABRA2 gene and identify modest associations between GABRA2 genotypes and addiction phenotypes. These results are consistent with modest roles for GABRA2 variants in addiction vulnerabilities.

Linkage Disequilibrium and haplotype analysis of polymorphisms in the GABA receptor cluster on chromosome 4: association study

D'ADDARIO, Claudio;
2006-01-01

Abstract

Strong genetic contributions to individual differences in vulnerability to addictions are well supported by classical genetic studies. Linkage and association genome scans for addiction vulnerability have provided converging evidence for several chromosomal regions which are likely to harbor allelic variants that contribute to such vulnerability. We and others have delineated a candidate addiction-associated chromosome 4p12 "rSA3" region based on convergent data from association genome scanning studies in polysubstance abusers [Uhl et al. (2001); Am J Hum Genet 69(6):1290-1300], linkage-based studies in alcoholism [Long et al. (1998); Am J Med Genet 81(3):216-221; Reich et al. (1998); Am J Med Genet 81(3):207-215] and association-based studies for alcoholism and association-based studies for individual differences in electroencephalographic (EEG) spectral power phenotypes [Porjesz et al. (2002); Proc Natl Acad Sci USA 99(6):3729-3733; Edenberg et al. (2004); Am J Hum Genet 74(4):705-714]. The rSA3 region contains interesting candidate genes that encode the alpha 2, alpha 4, beta 1, and gamma 1 receptor subunits for the principal brain inhibitory neurotransmitter, gamma-aminobutyric acid (GABA) [Covault et al. (2004); Am J Med Genet Part B 129B:104-109; Edenberg et al. (2004); Am J Hum Genet 74(4):705-714; Lappalainen et al. (2005); Alcohol Clin Exp Res 29(4):493-498]. We now report assessment of single nucleotide polymorphism (SNP) genotypes in this region in three samples of substance abusers and controls. These results delineate the haplotypes and patterns of linkage disequilibrium in this region, focus attention of the GABRA2 gene and identify modest associations between GABRA2 genotypes and addiction phenotypes. These results are consistent with modest roles for GABRA2 variants in addiction vulnerabilities.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11575/1982
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 66
  • ???jsp.display-item.citation.isi??? 65
social impact