Abelson Helper Integration Site-1 Gene Variants on Major Depressive Disorder and Bipolar Disorder.
- Author:
Stefano PORCELLI
1
;
Chi Un PAE
;
Changsu HAN
;
Soo Jung LEE
;
Ashwin A PATKAR
;
Prakash S MASAND
;
Beatrice BALZARRO
;
Siegfried ALBERTI
;
Diana DE RONCHI
;
Alessandro SERRETTI
Author Information
- Publication Type:Original Article
- Keywords: AHI1; Association study; Mood disorder; Susceptibility; Depression; Bipolar disorder
- MeSH: Alleles; Bipolar Disorder*; Depression; Depressive Disorder, Major*; Humans; Mood Disorders; Polymorphism, Single Nucleotide; Treatment Outcome
- From:Psychiatry Investigation 2014;11(4):481-486
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: The present study aimed to explore whether 4 single nucleotide polymorphisms (SNPs) within the AHI1 gene could be associated with major depressive disorder (MD) and bipolar disorder (BD), and whether they could predict clinical outcomes in mood disorders. METHODS: One hundred and eighty-four (184) patients with MD, 170 patients with BD and 170 healthy controls were genotyped for 4 AHI1 SNPs (rs11154801, rs7750586, rs9647635 and rs9321501). Baseline and final clinical measures for MD patients were assessed through the Hamilton Rating Scale for Depression (HAM-D). Allelic and genotypic frequencies in MD and BD subjects were compared with those of each disorder and healthy group using the chi2 statistics. Repeated measures ANOVA was used to test possible influences of SNPs on treatment efficacy. RESULTS: The rs9647635 A/A was more represented in subjects with BD as compared with MD and healthy subjects together. The rs9647635 A/A was also more presented in patients with MD than in healthy subjects. With regard to the allelic analysis, rs9647635 A allele was more represented in subjects with BD compared with healthy subjects, while it was not observed between patients with MD and healthy subjects. CONCLUSION: Our findings provide potential evidence of an association between some variants of AHI1 and mood disorders susceptibility but not with clinical outcomes. However, we will need to do more adequately-powered and advanced association studies to draw any conclusion due to clear limitations.
