Mixture regression analysis on age at onset in Bipolar Disorder patients: Investigation of the role of serotonergic genes

Mirko Manchia, Clement C. Zai, Alessio Squassina, John B. Vincent, Vincenzo De Luca, James L. Kennedy

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

18 Citas (Scopus)

Resumen

Bipolar Disorder (BPD) is a complex psychiatric disease with a relevant underlying genetic basis. HTR2A T102C, HTR2C Cys23Ser, SLC6A4 5-HTTLPR and rs25531 polymorphisms were genotyped in 230 BPD patients and inserted as covariates in a mixture regression model of age at onset (AAO). 5-HTTLPR polymorphism associated with early onset component under recessive and additive model. HTR2A T102C, HTR2C Cys23Ser and 5-HTTLPR interaction terms associated with early onset component under dominant, recessive and additive model. These findings suggest a role of genes codifying for elements of the serotonergic system in influencing the AAO in BPD.

Idioma originalEnglish
Páginas (desde-hasta)663-670
Número de páginas8
PublicaciónEuropean Neuropsychopharmacology
Volumen20
N.º9
DOI
EstadoPublished - sep. 2010

Nota bibliográfica

Funding Information:
The study was supported by a Young Investigator Award from the National Alliance for Research and Schizophrenia and Depression (NARSAD) to Vincenzo De Luca. Mirko Manchia is now a PhD student in Neuroscience at the Department of Neurosciences “B.B. Brodie”, University of Cagliari, Italy. The funding sources were not involved in the data analysis and the preparation of the manuscript.

ASJC Scopus Subject Areas

  • Pharmacology
  • Neurology
  • Clinical Neurology
  • Psychiatry and Mental health
  • Biological Psychiatry
  • Pharmacology (medical)

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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