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PW01-12 - Two or Three Age-of-Onset Groups in Bipolar I Disorder? Findings of Commingling Analysis in Romanian and German Bipolar I Patients

Published online by Cambridge University Press:  17 April 2020

M. Grigoroiu-Serbanescu ,
M. Rietschel ,
T. Paul ,
T.G. Schulze ,
M.M. Noethen ,
S. Cichon  and
R.C. Elston
M. Grigoroiu-Serbanescu
Affiliation:
Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
M. Rietschel
Affiliation:
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
T. Paul
Affiliation:
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
T.G. Schulze
Affiliation:
Unit on the Genetic Basis of Mood and Anxiety Disorders, National Institute of Mental Health, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
M.M. Noethen
Affiliation:
Department of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany
S. Cichon
Affiliation:
Department of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany
R.C. Elston
Affiliation:
Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH, USA

Abstract

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Background

Age-of-onset (AO) seems to be a phenotypic variable with a strong genetic component and therefore useful in molecular analysis of bipolar disorder (BP). A debate about the cut-off point for defining early AO has developed over the last few years. Using an Expectation-Maximization algorithm Bellivier et al. (2001) found the best fit for a model with three onset-groups, proposing the age 20-21 as cut-off for early onset, while using the same algorithm Kennedy et al. (2005) found the best fit for a two onset-group model with age 40 as cut-off with an incidence peak for mania in the age-band 21-25. Based on segregation analysis, we proposed a two AO-group model with cut-off age 25 for early onset (Grigoroiu-Serbanescu et al. 2001). The present study aimed at investigating the best AO-model in 500 Romanian BPI and 1458 German BPI patients using commingling analysis (SAGEv6.01-software) (Elston et al, 2009). The best model was selected according to Akaike's Information Criterion (AIC).

Results

The two AO-group and three AO-group models provided similar AIC-values both in the Romanian and the German sample. The Romanian early-onset group (40% cases) had means around 18 years, SDs=6-7, while in the German early-onset group the mean AO was around 20 years (SDs=9-11) (50% cases). Thus the cut-off for early-onset (X +1SD) was different.

Conclusion

Our results overlapped with the findings of Kennedy et al (2005) showing that two-curve and three-curve AO mixtures similarly fit the AO-distribution in BPI disorder and the cut-offs for early-onset differ by sample.

Type
Affective disorders / Unipolar depression / Bipolar disorder
Information
European Psychiatry , Volume 25 , Issue S1: 18th European Congress of Psychiatry. February 27, March 2, 2010 - Munich, Germany , 2010 , 25-E1414
Copyright
Copyright © European Psychiatric Association 2010
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