Literature DB >> 20886542

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

Flavie Mathieu1, Marie-Hélène Dizier, Bruno Etain, Stéphane Jamain, Marcella Rietschel, Wolfgang Maier, Margot Albus, Patrick McKeon, Siobhan Roche, Douglas Blackwood, Walter J Muir, Chantal Henry, Alain Malafosse, Martin Preisig, François Ferrero, Sven Cichon, Johannes Schumacher, Stephanie Ohlraun, Peter Propping, Rami Abou Jamra, Thomas G Schulze, Diana Zelenica, Céline Charon, Andrej Marusic, Mojca C Dernovsek, Hugh Gurling, Markus Nöthen, Mark Lathrop, Marion Leboyer, Frank Bellivier.   

Abstract

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.
Copyright © 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20886542     DOI: 10.1002/ajmg.b.31121

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  5 in total

1.  CADPS functional mutations in patients with bipolar disorder increase the sensitivity to stress.

Authors:  Jérémy Sitbon; Dennis Nestvogel; Caroline Kappeler; Aude Nicolas; Stephanie Maciuba; Annabelle Henrion; Réjane Troudet; Elisa Courtois; Gaël Grannec; Violaine Latapie; Caroline Barau; Philippe Le Corvoisier; Nicolas Pietrancosta; Chantal Henry; Marion Leboyer; Bruno Etain; Marika Nosten-Bertrand; Thomas F J Martin; JeongSeop Rhee; Stéphane Jamain
Journal:  Mol Psychiatry       Date:  2022-02-15       Impact factor: 15.992

Review 2.  The genetics of early-onset bipolar disorder: A systematic review.

Authors:  Kevin P Kennedy; Kathryn R Cullen; Colin G DeYoung; Bonnie Klimes-Dougan
Journal:  J Affect Disord       Date:  2015-05-15       Impact factor: 4.839

3.  Genome-wide linkage analysis of 972 bipolar pedigrees using single-nucleotide polymorphisms.

Authors:  J A Badner; D Koller; T Foroud; H Edenberg; J I Nurnberger; P P Zandi; V L Willour; F J McMahon; J B Potash; M Hamshere; D Grozeva; E Green; G Kirov; I Jones; L Jones; N Craddock; D Morris; R Segurado; M Gill; D Sadovnick; R Remick; P Keck; J Kelsoe; M Ayub; A MacLean; D Blackwood; C-Y Liu; E S Gershon; W McMahon; G J Lyon; R Robinson; J Ross; W Byerley
Journal:  Mol Psychiatry       Date:  2011-07-19       Impact factor: 15.992

4.  Psychosocial markers of age at onset in bipolar disorder: a machine learning approach.

Authors:  Sorcha Bolton; Dan W Joyce; Katherine Gordon-Smith; Lisa Jones; Ian Jones; John Geddes; Kate E A Saunders
Journal:  BJPsych Open       Date:  2022-07-18

5.  Family with sequence similarity 107: A family of stress responsive small proteins with diverse functions in cancer and the nervous system (Review).

Authors:  Hideo Nakajima; Keita Koizumi
Journal:  Biomed Rep       Date:  2014-02-27
  5 in total

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