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

doi:10.1016/j.euroneuro.2010.04.001

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

Medicine

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	663-670
Number of pages	8
Journal	European Neuropsychopharmacology
Volume	20
Issue number	9
DOIs	https://doi.org/10.1016/j.euroneuro.2010.04.001
Publication status	Published - Sept 2010

Bibliographical note

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.euroneuro.2010.04.001

Cite this

Manchia, M., Zai, C. C., Squassina, A., Vincent, J. B., De Luca, V., & Kennedy, J. L. (2010). Mixture regression analysis on age at onset in Bipolar Disorder patients: Investigation of the role of serotonergic genes. European Neuropsychopharmacology, 20(9), 663-670. https://doi.org/10.1016/j.euroneuro.2010.04.001

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abstract = "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.",

author = "Mirko Manchia and Zai, {Clement C.} and Alessio Squassina and Vincent, {John B.} and {De Luca}, Vincenzo and Kennedy, {James L.}",

note = "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. ",

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AU - Vincent, John B.

AU - De Luca, Vincenzo

AU - Kennedy, James L.

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

Abstract

Bibliographical note

ASJC Scopus Subject Areas

PubMed: MeSH publication types

UN SDGs

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