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European collaborative study of early-onset bipolar disorder: Evidence for genetic heterogeneity on 2q14 according to age at onset


  • Mathieu and Dizier contributed equally to this work.

  • How to Cite this Article: Mathieu F, Dizier MH, Etain B, Jamain S, Rietschel M, Maier W, Albus M, McKeon P, Roche S, Blackwood D, Muir W, Henry C, Malafosse A, Preisig M, Ferrero F, Cichon S, Schumacher J, Ohlraun S, Propping P, Abou Jamra R, Schulze TG, Zelenica D, Charon C, Marusic A, Dernovsek ZM, Nöthen M, Lathrop M, Leboyer M, Bellivier F. 2010. European Collaborative Study of Early-Onset Bipolar Disorder: Evidence for Genetic Heterogeneity on 2q14 According to Age at Onset. Am J Med Genet Part B 153B:1425–1433.


Bipolar disorder has a genetic component, but the mode of inheritance remains unclear. A previous genome scan conducted in 70 European families led to detect eight regions linked to bipolar disease. Here, we present an investigation of whether the phenotypic heterogeneity of the disorder corresponds to genetic heterogeneity in these regions using additional markers and an extended sample of families. The MLS statistic was used for linkage analyses. The predivided sample test and the maximum likelihood binomial methods were used to test genetic homogeneity between early-onset bipolar type I (cut-off of 22 years) and other types of the disorder (later onset of bipolar type I and early-onset bipolar type II), using a total of 138 independent bipolar-affected sib-pairs. Analysis of the extended sample of families supports linkage in four regions (2q14, 3p14, 16p23, and 20p12) of the eight regions of linkage suggested by our previous genome scan. Heterogeneity testing revealed genetic heterogeneity between early and late-onset bipolar type I in the 2q14 region (P = 0.0001). Only the early form of the bipolar disorder but not the late form appeared to be linked to this region. This region may therefore include a genetic factor either specifically involved in the early-onset bipolar type I or only influencing the age at onset (AAO). Our findings illustrate that stratification according to AAO may be valuable for the identification of genetic vulnerability polymorphisms. © 2010 Wiley-Liss, Inc.