Literature DB >> 28608171

Genetic Approaches to Understanding Psychiatric Disease.

Jacob J Michaelson1,2,3,4,5,6,7.   

Abstract

Human genetic studies have been the driving force in bringing to light the underlying biology of psychiatric conditions. As these studies fill in the gaps in our knowledge of the mechanisms at play, we will be better equipped to design therapies in rational and targeted ways, or repurpose existing therapies in previously unanticipated ways. This review is intended for those unfamiliar with psychiatric genetics as a field and provides a primer on different modes of genetic variation, the technologies currently used to probe them, and concepts that provide context for interpreting the gene-phenotype relationship. Like other subfields in human genetics, psychiatric genetics is moving from microarray technology to sequencing-based approaches as barriers of cost and expertise are removed, and the ramifications of this transition are discussed here. A summary is then given of recent genetic discoveries in a number of neuropsychiatric conditions, with particular emphasis on neurodevelopmental conditions. The general impact of genetics on drug development has been to underscore the extensive etiological heterogeneity in seemingly cohesive diagnostic categories. Consequently, the path forward is not in therapies hoping to reach large swaths of patients sharing a clinically defined diagnosis, but rather in targeting patients belonging to specific "biotypes" defined through a combination of objective, quantifiable data, including genotype.

Entities:  

Keywords:  GWAS; Psychiatric genetics; copy number variant; microarrays; sequencing

Mesh:

Year:  2017        PMID: 28608171      PMCID: PMC5509640          DOI: 10.1007/s13311-017-0551-x

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  241 in total

1.  Rethinking environmental contributions to child and adolescent psychopathology: a meta-analysis of shared environmental influences.

Authors:  S Alexandra Burt
Journal:  Psychol Bull       Date:  2009-07       Impact factor: 17.737

2.  Family study and segregation analysis of Tourette syndrome: evidence for a mixed model of inheritance.

Authors:  J T Walkup; M C LaBuda; H S Singer; J Brown; M A Riddle; O Hurko
Journal:  Am J Hum Genet       Date:  1996-09       Impact factor: 11.025

3.  Epigenetics of autism-related impairment: copy number variation and maternal infection.

Authors:  Varvara Mazina; Jennifer Gerdts; Sandy Trinh; Katy Ankenman; Tracey Ward; Megan Y Dennis; Santhosh Girirajan; Evan E Eichler; Raphael Bernier
Journal:  J Dev Behav Pediatr       Date:  2015 Feb-Mar       Impact factor: 2.225

4.  A common variant of the latrophilin 3 gene, LPHN3, confers susceptibility to ADHD and predicts effectiveness of stimulant medication.

Authors:  M Arcos-Burgos; M Jain; M T Acosta; S Shively; H Stanescu; D Wallis; S Domené; J I Vélez; J D Karkera; J Balog; K Berg; R Kleta; W A Gahl; E Roessler; R Long; J Lie; D Pineda; A C Londoño; J D Palacio; A Arbelaez; F Lopera; J Elia; H Hakonarson; S Johansson; P M Knappskog; J Haavik; M Ribases; B Cormand; M Bayes; M Casas; J A Ramos-Quiroga; A Hervas; B S Maher; S V Faraone; C Seitz; C M Freitag; H Palmason; J Meyer; M Romanos; S Walitza; U Hemminger; A Warnke; J Romanos; T Renner; C Jacob; K-P Lesch; J Swanson; A Vortmeyer; J E Bailey-Wilson; F X Castellanos; M Muenke
Journal:  Mol Psychiatry       Date:  2010-02-16       Impact factor: 15.992

5.  A forkhead-domain gene is mutated in a severe speech and language disorder.

Authors:  C S Lai; S E Fisher; J A Hurst; F Vargha-Khadem; A P Monaco
Journal:  Nature       Date:  2001-10-04       Impact factor: 49.962

6.  An Ultraconserved Brain-Specific Enhancer Within ADGRL3 (LPHN3) Underpins Attention-Deficit/Hyperactivity Disorder Susceptibility.

Authors:  Ariel F Martinez; Yu Abe; Sungkook Hong; Kevin Molyneux; David Yarnell; Heiko Löhr; Wolfgang Driever; Maria T Acosta; Mauricio Arcos-Burgos; Maximilian Muenke
Journal:  Biol Psychiatry       Date:  2016-07-14       Impact factor: 13.382

7.  Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys.

Authors:  Koen Demyttenaere; Ronny Bruffaerts; Jose Posada-Villa; Isabelle Gasquet; Viviane Kovess; Jean Pierre Lepine; Matthias C Angermeyer; Sebastian Bernert; Giovanni de Girolamo; Pierluigi Morosini; Gabriella Polidori; Takehiko Kikkawa; Norito Kawakami; Yutaka Ono; Tadashi Takeshima; Hidenori Uda; Elie G Karam; John A Fayyad; Aimee N Karam; Zeina N Mneimneh; Maria Elena Medina-Mora; Guilherme Borges; Carmen Lara; Ron de Graaf; Johan Ormel; Oye Gureje; Yucun Shen; Yueqin Huang; Mingyuan Zhang; Jordi Alonso; Josep Maria Haro; Gemma Vilagut; Evelyn J Bromet; Semyon Gluzman; Charles Webb; Ronald C Kessler; Kathleen R Merikangas; James C Anthony; Michael R Von Korff; Philip S Wang; Traolach S Brugha; Sergio Aguilar-Gaxiola; Sing Lee; Steven Heeringa; Beth-Ellen Pennell; Alan M Zaslavsky; T Bedirhan Ustun; Somnath Chatterji
Journal:  JAMA       Date:  2004-06-02       Impact factor: 56.272

Review 8.  Psychiatric comorbidities and schizophrenia.

Authors:  Peter F Buckley; Brian J Miller; Douglas S Lehrer; David J Castle
Journal:  Schizophr Bull       Date:  2008-11-14       Impact factor: 9.306

Review 9.  Phenylketonuria: a review of current and future treatments.

Authors:  Naz Al Hafid; John Christodoulou
Journal:  Transl Pediatr       Date:  2015-10

10.  Investigation of SNP rs2060546 Immediately Upstream to NTN4 in a Danish Gilles de la Tourette Syndrome Cohort.

Authors:  Shanmukha S Padmanabhuni; Rayan Houssari; Ann-Louise Esserlind; Jes Olesen; Thomas M Werge; Thomas F Hansen; Birgitte Bertelsen; Fotis Tsetsos; Peristera Paschou; Zeynep Tümer
Journal:  Front Neurosci       Date:  2016-11-22       Impact factor: 4.677

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  2 in total

1.  Moving Beyond Serendipity to Mechanism-Driven Psychiatric Therapeutics.

Authors:  Andrew A Pieper; Jay M Baraban
Journal:  Neurotherapeutics       Date:  2017-07       Impact factor: 7.620

2.  Prioritization and comprehensive analysis of genes related to major depressive disorder.

Authors:  Yi Liu; Pengfei Fan; Shiyuan Zhang; Yidan Wang; Dan Liu
Journal:  Mol Genet Genomic Med       Date:  2019-04-09       Impact factor: 2.183

  2 in total

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