Literature DB >> 7832003

Mode of inheritance in families of patients with lithium-responsive affective disorders.

M Alda1, P Grof, E Grof, P Zvolsky, M Walsh.   

Abstract

A better understanding of the role of genetic factors in affective disorders is likely to result from investigating more homogeneous populations. To achieve this goal, we have systematically studied patients who are excellent responders to long-term lithium treatment and their relatives. In the families of 71 such probands, we have analyzed the mode of inheritance by comparing the observed morbidity risks with the risks expected under different genetic models. The results demonstrate major-gene effects in the transmission of primary affective disorders; the polygenic model with sex-specific thresholds could be rejected. Discrimination between the autosomal and X-chromosome models was not possible, but the autosomal recessive model predicts more realistic, gender-specific frequencies of affective disorders in the general population. These results suggest that autosomal recessive inheritance deserves serious consideration in molecular genetic investigations.

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Year:  1994        PMID: 7832003     DOI: 10.1111/j.1600-0447.1994.tb01598.x

Source DB:  PubMed          Journal:  Acta Psychiatr Scand        ISSN: 0001-690X            Impact factor:   6.392


  8 in total

Review 1.  Pharmacogenetics of bipolar disorder.

Authors:  Hader A Mansour; Martin Alda; Vishwajit L Nimgaonkar
Journal:  Curr Psychiatry Rep       Date:  2002-04       Impact factor: 5.285

Review 2.  Pharmacogenetics of lithium response in bipolar disorder.

Authors:  M Alda
Journal:  J Psychiatry Neurosci       Date:  1999-03       Impact factor: 6.186

3.  Pharmacogenomic predictors of citalopram treatment outcome in major depressive disorder.

Authors:  Firoza Mamdani; Marcelo T Berlim; Marie-Martine Beaulieu; Gustavo Turecki
Journal:  World J Biol Psychiatry       Date:  2013-03-26       Impact factor: 4.132

4.  Pharmacogenomics of mood stabilizers in the treatment of bipolar disorder.

Authors:  Alessio Squassina; Mirko Manchia; Maria Del Zompo
Journal:  Hum Genomics Proteomics       Date:  2010-08-03

Review 5.  Long-term responsiveness to lithium as a pharmacogenetic outcome variable: treatment and etiologic implications.

Authors:  Firoza Mamdani; Iris Jaitovich Groisman; Martin Alda; Gustavo Turecki
Journal:  Curr Psychiatry Rep       Date:  2003-12       Impact factor: 5.285

6.  Incorporation of molecular data and redefinition of phenotype: new approaches to genetic epidemiology of bipolar manic depressive illness and schizophrenia.

Authors:  E S Gershon; J A Badner
Journal:  Dialogues Clin Neurosci       Date:  2001-03       Impact factor: 5.986

Review 7.  Prediction of response to drug therapy in psychiatric disorders.

Authors:  Shani Stern; Sara Linker; Krishna C Vadodaria; Maria C Marchetto; Fred H Gage
Journal:  Open Biol       Date:  2018-05       Impact factor: 6.411

8.  Lithium: a key to the genetics of bipolar disorder.

Authors:  Cristiana Cruceanu; Martin Alda; Gustavo Turecki
Journal:  Genome Med       Date:  2009-08-19       Impact factor: 11.117

  8 in total

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