Literature DB >> 10885164

The genetics of mental illness: implications for practice.

S E Hyman1.   

Abstract

Many of the comfortable and relatively simple models of the nature of mental disorders, their causes and their neural substrates now appear quite frayed. Gone is the idea that symptom clusters, course of illness, family history and treatment response would coalesce in a simple way to yield valid diagnoses. Also too simple was the concept, born of early pharmacological successes, that abnormal levels of one or more neurotransmitters would satisfactorily explain the pathogenesis of depression or schizophrenia. Gone is the notion that there is a single gene that causes any mental disorder or determines any behavioural variant. The concept of the causative gene has been replaced by that of genetic complexity, in which multiple genes act in concert with non-genetic factors to produce a risk of mental disorder. Discoveries in genetics and neuroscience can be expected to lead to better models that provide improved representation of the complexity of the brain and behaviour and the development of both. There are likely to be profound implications for clinical practice. The complex genetics of risk should reinvigorate research on the epidemiology and classification of mental disorders and explain the complex patterns of disease transmission within families. Knowledge of the timing of the expression of risk genes during brain development and of their function should not only contribute to an understanding of gene action and the pathophysiology of disease but should also help to direct the search for modifiable environmental risk factors that convert risk into illness. The function of risk genes can only become comprehensible in the context of advances at the molecular, cellular and systems levels in neuroscience and the behavioural sciences. Genetics should yield new therapies aimed not just at symptoms but also at pathogenic processes, thus permitting the targeting of specific therapies to individual patients.

Entities:  

Mesh:

Year:  2000        PMID: 10885164      PMCID: PMC2560734     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  18 in total

Review 1.  Genetic insights into schizophrenia.

Authors:  A S Bassett; E W Chow; D M Waterworth; L Brzustowicz
Journal:  Can J Psychiatry       Date:  2001-03       Impact factor: 4.356

Review 2.  Paternal factors and schizophrenia risk: de novo mutations and imprinting.

Authors:  D Malaspina
Journal:  Schizophr Bull       Date:  2001       Impact factor: 9.306

3.  Altered psychomotor behaviors in mice lacking pituitary adenylate cyclase-activating polypeptide (PACAP).

Authors:  H Hashimoto; N Shintani; K Tanaka; W Mori; M Hirose; T Matsuda; M Sakaue; J Miyazaki; H Niwa; F Tashiro; K Yamamoto; K Koga; S Tomimoto; A Kunugi; S Suetake; A Baba
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-30       Impact factor: 11.205

4.  Alpha1,6-fucosyltransferase-deficient mice exhibit multiple behavioral abnormalities associated with a schizophrenia-like phenotype: importance of the balance between the dopamine and serotonin systems.

Authors:  Tomohiko Fukuda; Hirokazu Hashimoto; Natsumi Okayasu; Akihiko Kameyama; Hiroshi Onogi; Osamu Nakagawasai; Takahiro Nakazawa; Tomoyo Kurosawa; Yan Hao; Tomoya Isaji; Takeshi Tadano; Hisashi Narimatsu; Naoyuki Taniguchi; Jianguo Gu
Journal:  J Biol Chem       Date:  2011-04-06       Impact factor: 5.157

5.  Associations of early exposure to intimate partner violence and parental depression with subsequent mental health outcomes.

Authors:  Nerissa S Bauer; Amy L Gilbert; Aaron E Carroll; Stephen M Downs
Journal:  JAMA Pediatr       Date:  2013-04       Impact factor: 16.193

Review 6.  Schizophrenia and genetics: new insights.

Authors:  Anne S Bassett; Eva W Chow; Rosanna Weksberg; Linda Brzustowicz
Journal:  Curr Psychiatry Rep       Date:  2002-08       Impact factor: 5.285

7.  Eye movement dysfunction in first-degree relatives of patients with schizophrenia: a meta-analytic evaluation of candidate endophenotypes.

Authors:  Monica E Calkins; William G Iacono; Deniz S Ones
Journal:  Brain Cogn       Date:  2008-10-18       Impact factor: 2.310

8.  The 'Maltreatment and Abuse Chronology of Exposure' (MACE) scale for the retrospective assessment of abuse and neglect during development.

Authors:  Martin H Teicher; Angelika Parigger
Journal:  PLoS One       Date:  2015-02-25       Impact factor: 3.240

Review 9.  Stress-sensitive neurosignalling in depression: an integrated network biology approach to candidate gene selection for genetic association analysis.

Authors:  J Anke M van Eekelen; Justine A Ellis; Craig E Pennell; Jeff Craig; Richard Saffery; Eugen Mattes; Craig A Olsson
Journal:  Ment Illn       Date:  2012-12-18

10.  Epidemiology and genetics of common mental disorders in the general population: the PEGASUS-Murcia project.

Authors:  Fernando Navarro-Mateu; Mj Tormo; G Vilagut; J Alonso; G Ruíz-Merino; T Escámez; D Salmerón; J Júdez; S Martínez; C Navarro
Journal:  BMJ Open       Date:  2013-12-03       Impact factor: 2.692

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