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Discordant twins as a tool to unravel the aetiology of bipolar disorder

Published online by Cambridge University Press:  11 February 2014

C. Fagnani*
Affiliation:
Genetic Epidemiology Unit, National Centre of Epidemiology, Surveillance and Health Promotion, Italian National Institute of Health, Rome, Italy
M. Bellani
Affiliation:
Department of Public Health and Community Medicine, Section of Psychiatry and Clinical Psychology, Inter-University Centre for Behavioural Neurosciences (ICBN), University of Verona, Verona, Italy
J. C. Soares
Affiliation:
Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
M. A. Stazi
Affiliation:
Genetic Epidemiology Unit, National Centre of Epidemiology, Surveillance and Health Promotion, Italian National Institute of Health, Rome, Italy
P. Brambilla
Affiliation:
Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA DISM, InterUniversity Center for Behavioural Neurosciences (ICBN), University of Udine, Udine, Italy
*
* Address for correspondence: Dr C. Fagnani, Genetic Epidemiology Unit, National Centre of Epidemiology, Surveillance and Health Promotion, Italian National Institute of Health, Viale Regina Elena 299, 00161 Rome, Italy. (Email: corrado.fagnani@iss.it)
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Abstract

This editorial focuses on discordant twins as a valuable epidemiological design for psychiatric aetiological research. First, we summarise the advantages and strengths of this design over the classical matched case-control study. Then, we draw attention to the use of this method in bipolar disorder, revising previous discordant-twin studies. A future greater use of discordant twins is desirable to gain further relevant insights in the aetiology of bipolar disorder.

Information

Type
Epidemiology for Behavioural Neurosciences
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Table 1. Published discordant-twin studies on bipolar disorder