Literature DB >> 33385509

Genetic Studies of Mental Illness: Are Children Being Left Behind?

Jonathan Posner1, Dominik Biezonski2, Sarah Pieper3, Cristiane S Duarte4.   

Abstract

Understanding the genetic architecture of psychiatric disorders is paramount to linking psychopathologies to their genetic underpinnings. In turn, this knowledge can inform strategies for identifying high-risk individuals, early intervention, and development of personalized treatment approaches.1,2 Over the past 2 decades, owing to lowering per capita costs and relative ease of analysis, a plethora of studies have used single nucleotide polymorphism genotyping and genome-wide association studies (GWASs) to unravel common and rare risk loci underlying psychiatric disorders and their endophenotypes.3 In contrast to the single allele focus of classical Mendelian inheritance, mental illnesses are often polygenic in nature with multiple common genetic variants, each contributing a small, but meaningful added risk. By interrogating the entire genome, GWASs have allowed the functional assessment of promising candidate genes in in vivo as well as in vitro models of psychiatric disease. Further, these findings have spawned the approach of calculating polygenic risk scores, a promising strategy for inferring genetic susceptibility to the development of psychopathology by taking into account the polygenic structure of psychiatric disorders.
Copyright © 2020 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 33385509      PMCID: PMC8184577          DOI: 10.1016/j.jaac.2020.12.031

Source DB:  PubMed          Journal:  J Am Acad Child Adolesc Psychiatry        ISSN: 0890-8567            Impact factor:   8.829


  12 in total

1.  The Role of Precision Medicine in Child Psychiatry: What Can We Expect and When?

Authors:  Jonathan Posner
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2018-11       Impact factor: 8.829

2.  Polygenic scores for schizophrenia and educational attainment are associated with behavioural problems in early childhood in the general population.

Authors:  Philip R Jansen; Tinca J C Polderman; Koen Bolhuis; Jan van der Ende; Vincent W V Jaddoe; Frank C Verhulst; Tonya White; Danielle Posthuma; Henning Tiemeier
Journal:  J Child Psychol Psychiatry       Date:  2017-06-19       Impact factor: 8.982

Review 3.  Gene hunting in autism spectrum disorder: on the path to precision medicine.

Authors:  Daniel H Geschwind; Matthew W State
Journal:  Lancet Neurol       Date:  2015-04-16       Impact factor: 44.182

4.  A 30-Year Study of 3 Generations at High Risk and Low Risk for Depression.

Authors:  Myrna M Weissman; Obianuju O Berry; Virginia Warner; Marc J Gameroff; Jamie Skipper; Ardesheer Talati; Daniel J Pilowsky; Priya Wickramaratne
Journal:  JAMA Psychiatry       Date:  2016-09-01       Impact factor: 21.596

Review 5.  Moving towards causality in attention-deficit hyperactivity disorder: overview of neural and genetic mechanisms.

Authors:  Eduardo F Gallo; Jonathan Posner
Journal:  Lancet Psychiatry       Date:  2016-05-13       Impact factor: 27.083

6.  Intergenerational psychiatry: a new look at a powerful perspective.

Authors:  Cristiane S Duarte; Catherine Monk; Myrna M Weissman; Jonathan Posner
Journal:  World Psychiatry       Date:  2020-06       Impact factor: 79.683

7.  Missing in Action: African Ancestry Brain Research.

Authors:  Daniel R Weinberger; Kafui Dzirasa; Lesia L Crumpton-Young
Journal:  Neuron       Date:  2020-07-24       Impact factor: 17.173

Review 8.  A decade in psychiatric GWAS research.

Authors:  Tanya Horwitz; Katie Lam; Yu Chen; Yan Xia; Chunyu Liu
Journal:  Mol Psychiatry       Date:  2018-06-25       Impact factor: 15.992

9.  Agreement Between Prospective and Retrospective Measures of Childhood Maltreatment: A Systematic Review and Meta-analysis.

Authors:  Jessie R Baldwin; Aaron Reuben; Joanne B Newbury; Andrea Danese
Journal:  JAMA Psychiatry       Date:  2019-06-01       Impact factor: 21.596

10.  Biological insights from 108 schizophrenia-associated genetic loci.

Authors: 
Journal:  Nature       Date:  2014-07-22       Impact factor: 49.962

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  1 in total

1.  A potential association of RNF219-AS1 with ADHD: Evidence from categorical analysis of clinical phenotypes and from quantitative exploration of executive function and white matter microstructure endophenotypes.

Authors:  Guang-Hui Fu; Wai Chen; Hai-Mei Li; Yu-Feng Wang; Lu Liu; Qiu-Jin Qian
Journal:  CNS Neurosci Ther       Date:  2021-02-28       Impact factor: 5.243

  1 in total

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