Literature DB >> 27860035

A Cell Type-Specific Expression Signature Predicts Haploinsufficient Autism-Susceptibility Genes.

Chaolin Zhang1,2,3, Yufeng Shen1,4,5.   

Abstract

Recent studies have identified many genes with rare de novo mutations in autism, but a limited number of these have been conclusively established as disease-susceptibility genes due to the lack of recurrence and confounding background mutations. Such extreme genetic heterogeneity severely limits recurrence-based statistical power even in studies with a large sample size. Here, we use cell-type specific expression profiles to differentiate mutations in autism patients from those in unaffected siblings. We report a gene expression signature in different neuronal cell types shared by genes with likely gene-disrupting (LGD) mutations in autism cases. This signature reflects haploinsufficiency of risk genes enriched in transcriptional and post-transcriptional regulators, with the strongest positive associations with specific types of neurons in different brain regions, including cortical neurons, cerebellar granule cells, and striatal medium spiny neurons. When used to prioritize genes with a single LGD mutation in cases, a D-score derived from the signature achieved a precision of 40% as compared with the 15% baseline with a minimal loss in sensitivity. An ensemble model combining D-score with mutation intolerance metrics from Exome Aggregation Consortium further improved the precision to 60%, resulting in 117 high-priority candidates. These prioritized lists can facilitate identification of additional autism-susceptibility genes.
© 2016 WILEY PERIODICALS, INC.

Entities:  

Keywords:  D-score; autism spectrum disorders; autism-susceptibility genes; cell type-specific expression signature; de novo mutations

Mesh:

Year:  2016        PMID: 27860035      PMCID: PMC5865588          DOI: 10.1002/humu.23147

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  68 in total

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Review 3.  Consensus paper: pathological role of the cerebellum in autism.

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Journal:  Cerebellum       Date:  2012-09       Impact factor: 3.847

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Journal:  Science       Date:  2015-12-04       Impact factor: 47.728

6.  De novo mutations revealed by whole-exome sequencing are strongly associated with autism.

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7.  Strong association of de novo copy number mutations with autism.

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8.  Multiplex targeted sequencing identifies recurrently mutated genes in autism spectrum disorders.

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Journal:  Science       Date:  2012-11-15       Impact factor: 47.728

9.  Shank3 mutant mice display autistic-like behaviours and striatal dysfunction.

Authors:  João Peça; Cátia Feliciano; Jonathan T Ting; Wenting Wang; Michael F Wells; Talaignair N Venkatraman; Christopher D Lascola; Zhanyan Fu; Guoping Feng
Journal:  Nature       Date:  2011-03-20       Impact factor: 49.962

10.  Genic intolerance to functional variation and the interpretation of personal genomes.

Authors:  Slavé Petrovski; Quanli Wang; Erin L Heinzen; Andrew S Allen; David B Goldstein
Journal:  PLoS Genet       Date:  2013-08-22       Impact factor: 5.917

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2.  DeepND: Deep multitask learning of gene risk for comorbid neurodevelopmental disorders.

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Authors:  Na Zhu; Emilia M Swietlik; Carrie L Welch; Michael W Pauciulo; Nicholas W Morrell; Yufeng Shen; Stefan Gräf; William C Nichols; Wendy K Chung; Jacob J Hagen; Xueya Zhou; Yicheng Guo; Johannes Karten; Divya Pandya; Tobias Tilly; Katie A Lutz; Jennifer M Martin; Carmen M Treacy; Erika B Rosenzweig; Usha Krishnan; Anna W Coleman; Claudia Gonzaga-Jauregui; Allan Lawrie; Richard C Trembath; Martin R Wilkins
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5.  Enriched expression of genes associated with autism spectrum disorders in human inhibitory neurons.

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6.  Coupling of autism genes to tissue-wide expression and dysfunction of synapse, calcium signalling and transcriptional regulation.

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Review 7.  A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases.

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Journal:  J Integr Bioinform       Date:  2019-09-09

8.  "Guilt by association" is not competitive with genetic association for identifying autism risk genes.

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  8 in total

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