Literature DB >> 30520558

Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies.

Samuel C Lee1, Thomas P Quinn1,2,3, Jerry Lai4,5, Sek Won Kong6,7, Irva Hertz-Picciotto8, Stephen J Glatt9, Tamsyn M Crowley2,3,10, Svetha Venkatesh1, Thin Nguyen1.   

Abstract

Autism spectrum disorder (ASD) is a markedly heterogeneous condition with a varied phenotypic presentation. Its high concordance among siblings, as well as its clear association with specific genetic disorders, both point to a strong genetic etiology. However, the molecular basis of ASD is still poorly understood, although recent studies point to the existence of sex-specific ASD pathophysiologies and biomarkers. Despite this, little is known about how exactly sex influences the gene expression signatures of ASD probands. In an effort to identify sex-dependent biomarkers and characterize their function, we present an analysis of a single paired-end postmortem brain RNA-Seq data set and a meta-analysis of six blood-based microarray data sets. Here, we identify several genes with sex-dependent dysregulation, and many more with sex-independent dysregulation. Moreover, through pathway analysis, we find that these sex-independent biomarkers have substantially different biological roles than the sex-dependent biomarkers, and that some of these pathways are ubiquitously dysregulated in both postmortem brain and blood. We conclude by synthesizing the discovered biomarker profiles with the extant literature, by highlighting the advantage of studying sex-specific dysregulation directly, and by making a call for new transcriptomic data that comprise large female cohorts.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  ASD; autism; biomarkers; sex-specific; transcriptome

Mesh:

Substances:

Year:  2018        PMID: 30520558      PMCID: PMC6551334          DOI: 10.1002/ajmg.b.32701

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  60 in total

Review 1.  The epidemiology of autism: a review.

Authors:  E Fombonne
Journal:  Psychol Med       Date:  1999-07       Impact factor: 7.723

2.  The extreme male brain theory of autism.

Authors:  Simon Baron-Cohen
Journal:  Trends Cogn Sci       Date:  2002-06-01       Impact factor: 20.229

3.  The sva package for removing batch effects and other unwanted variation in high-throughput experiments.

Authors:  Jeffrey T Leek; W Evan Johnson; Hilary S Parker; Andrew E Jaffe; John D Storey
Journal:  Bioinformatics       Date:  2012-01-17       Impact factor: 6.937

Review 4.  Gene expression omnibus: microarray data storage, submission, retrieval, and analysis.

Authors:  Tanya Barrett; Ron Edgar
Journal:  Methods Enzymol       Date:  2006       Impact factor: 1.600

5.  Improving the classification of neuropsychiatric conditions using gene ontology terms as features.

Authors:  Thomas P Quinn; Samuel C Lee; Svetha Venkatesh; Thin Nguyen
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2019-04-25       Impact factor: 3.568

6.  Transcriptomic analysis of autistic brain reveals convergent molecular pathology.

Authors:  Irina Voineagu; Xinchen Wang; Patrick Johnston; Jennifer K Lowe; Yuan Tian; Steve Horvath; Jonathan Mill; Rita M Cantor; Benjamin J Blencowe; Daniel H Geschwind
Journal:  Nature       Date:  2011-05-25       Impact factor: 49.962

Review 7.  Comprehensive literature review and statistical considerations for microarray meta-analysis.

Authors:  George C Tseng; Debashis Ghosh; Eleanor Feingold
Journal:  Nucleic Acids Res       Date:  2012-01-19       Impact factor: 16.971

8.  The CHARGE study: an epidemiologic investigation of genetic and environmental factors contributing to autism.

Authors:  Irva Hertz-Picciotto; Lisa A Croen; Robin Hansen; Carrie R Jones; Judy van de Water; Isaac N Pessah
Journal:  Environ Health Perspect       Date:  2006-07       Impact factor: 9.031

9.  Gene expression in human brain implicates sexually dimorphic pathways in autism spectrum disorders.

Authors:  Donna M Werling; Neelroop N Parikshak; Daniel H Geschwind
Journal:  Nat Commun       Date:  2016-02-19       Impact factor: 14.919

Review 10.  Clinical impact of early diagnosis of autism on the prognosis and parent-child relationships.

Authors:  Jennifer Harrison Elder; Consuelo Maun Kreider; Susan N Brasher; Margaret Ansell
Journal:  Psychol Res Behav Manag       Date:  2017-08-24
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  2 in total

1.  A predictive ensemble classifier for the gene expression diagnosis of ASD at ages 1 to 4 years.

Authors:  Bokan Bao; Javad Zahiri; Vahid H Gazestani; Linda Lopez; Yaqiong Xiao; Raphael Kim; Teresa H Wen; Austin W T Chiang; Srinivasa Nalabolu; Karen Pierce; Kimberly Robasky; Tianyun Wang; Kendra Hoekzema; Evan E Eichler; Nathan E Lewis; Eric Courchesne
Journal:  Mol Psychiatry       Date:  2022-10-20       Impact factor: 13.437

2.  Blood RNA Sequencing Indicates Upregulated BATF2 and LY6E and Downregulated ISG15 and MT2A Expression in Children with Autism Spectrum Disorder.

Authors:  Irena Voinsky; Yazeed Zoabi; Noam Shomron; Moria Harel; Hanoch Cassuto; Joseph Tam; Shannon Rose; Adrienne C Scheck; Mohammad A Karim; Richard E Frye; Adi Aran; David Gurwitz
Journal:  Int J Mol Sci       Date:  2022-08-30       Impact factor: 6.208

  2 in total

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