Parent-of-origin Effect in Families of Bipolar Disorder - Lan, Tsuo-Hung
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Bipolar disorder is a chronic psychiatric disease characterized by swinging pathologic mood changes and potentially devastating impact on social functioning with an estimated 1% life prevalence in United States. Twin, adoption, and family studies have supported the role of a genetic component in the pathogenesis of bipolar disorder. In this book, three different approaches (segregation analysis, IBD analysis, and TDT analysis) were applied to test for heterogeneity between two subgroups defined by parental lineality of disease transmission. These three lines of evidence support heterogeneity…mehr

Produktbeschreibung
Bipolar disorder is a chronic psychiatric disease characterized by swinging pathologic mood changes and potentially devastating impact on social functioning with an estimated 1% life prevalence in United States. Twin, adoption, and family studies have supported the role of a genetic component in the pathogenesis of bipolar disorder. In this book, three different approaches (segregation analysis, IBD analysis, and TDT analysis) were applied to test for heterogeneity between two subgroups defined by parental lineality of disease transmission. These three lines of evidence support heterogeneity of bipolar disorder between families with different parental transmission linearity. They also confirm previously suspected parent-of-origin phenomenon and suggest a possible way to enhance the prevention, diagnosis, and treatment of bipolar disorder in public health by incorporating this idea into further approaches.
  • Produktdetails
  • Verlag: VDM Verlag Dr. Müller
  • Seitenzahl: 344
  • Englisch
  • ISBN-13: 9783639107937
  • ISBN-10: 3639107934
  • Artikelnr.: 26875834
Autorenporträt
Tsuo-Hung Lan, finished his psychiatrist training in Taipei Veterans General Hospital in 1996 after graduation from National Yang-Ming University, Taiwan. Then he got his PhD degree in Johns Hopkins University in 2002. His major research topics is focusing on pharmacogenetics of schizophrenia by using neural network model in recent years.