Literature DB >> 30293238

Estimating contribution of rare non-coding variants to neuropsychiatric disorders.

Atsushi Takata1,2.   

Abstract

Owing to recent advances in DNA sequencing technology, a number of large-scale comprehensive analyses of genetic variations in protein-coding regions (i.e., whole-exome sequencing studies), have been conducted for neuropsychiatric and neurodevelopmental disorders, such as autism spectrum disorders, intellectual disability, and schizophrenia. These studies, especially those focusing on de novo (newly arising) mutations and extremely rare variants, have successfully identified previously unrecognized disease genes/mutations with a large effect size and deepen our understanding of the biology of neuropsychiatric diseases. Along with the continuously dropping sequencing cost, now the target of sequencing studies is expanding from the exome to the whole human genome. Several pioneering works have provided important insights into the contribution of rare non-coding variants to neuropsychiatric diseases. At the same time, these studies highlight need for further larger sample sizes and improvement in annotation of non-coding regulatory variants. In this review, key findings from recent studies as well as likely future directions are overviewed.
© 2018 The Authors. Psychiatry and Clinical Neurosciences © 2018 Japanese Society of Psychiatry and Neurology.

Entities:  

Keywords:  autism; de novo; exome; regulatory element; schizophrenia

Mesh:

Year:  2018        PMID: 30293238     DOI: 10.1111/pcn.12774

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   5.188


  10 in total

1.  Recent genetic and functional insights in autism spectrum disorder.

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Review 2.  Genetics of bipolar disorder: insights into its complex architecture and biology from common and rare variants.

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Journal:  Mol Psychiatry       Date:  2022-10-12       Impact factor: 13.437

4.  Developmental Characterization of Schizophrenia-Associated Gene Zswim6 in Mouse Forebrain.

Authors:  Chuan-Chie Chang; Hsiao-Ying Kuo; Shih-Yun Chen; Wan-Ting Lin; Kuan-Ming Lu; Tetsuichiro Saito; Fu-Chin Liu
Journal:  Front Neuroanat       Date:  2021-05-13       Impact factor: 3.856

Review 5.  The Human Gene Mutation Database (HGMD®): optimizing its use in a clinical diagnostic or research setting.

Authors:  Peter D Stenson; Matthew Mort; Edward V Ball; Molly Chapman; Katy Evans; Luisa Azevedo; Matthew Hayden; Sally Heywood; David S Millar; Andrew D Phillips; David N Cooper
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6.  Psychiatric-disorder-related behavioral phenotypes and cortical hyperactivity in a mouse model of 3q29 deletion syndrome.

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Journal:  Neuropsychopharmacology       Date:  2019-06-19       Impact factor: 7.853

7.  Polygenic risk scores in schizophrenia with clinically significant copy number variants.

Authors:  Satoru Taniguchi; Kohei Ninomiya; Itaru Kushima; Takeo Saito; Ayu Shimasaki; Takaya Sakusabe; Yukihide Momozawa; Michiaki Kubo; Yoichiro Kamatani; Norio Ozaki; Masashi Ikeda; Nakao Iwata
Journal:  Psychiatry Clin Neurosci       Date:  2019-09-30       Impact factor: 5.188

8.  Novel Compound Heterozygous Mutation in TRAPPC9 Gene: The Relevance of Whole Genome Sequencing.

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9.  An evaluation of pipelines for DNA variant detection can guide a reanalysis protocol to increase the diagnostic ratio of genetic diseases.

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Journal:  NPJ Genom Med       Date:  2022-01-27       Impact factor: 8.617

10.  Analysing an allelic series of rare missense variants of CACNA1I in a Swedish schizophrenia cohort.

Authors:  David Baez-Nieto; Andrew Allen; Seth Akers-Campbell; Lingling Yang; Nikita Budnik; Amaury Pupo; Young-Cheul Shin; Giulio Genovese; Maofu Liao; Eduardo Pérez-Palma; Henrike Heyne; Dennis Lal; Diane Lipscombe; Jen Q Pan
Journal:  Brain       Date:  2022-06-03       Impact factor: 15.255

  10 in total

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