Literature DB >> 23625158

Peripheral blood gene expression signature differentiates children with autism from unaffected siblings.

S W Kong1, Y Shimizu-Motohashi, M G Campbell, I H Lee, C D Collins, S J Brewster, I A Holm, L Rappaport, I S Kohane, L M Kunkel.   

Abstract

Autism spectrum disorder (ASD) is one of the most prevalent neurodevelopmental disorders with high heritability, yet a majority of genetic contribution to pathophysiology is not known. Siblings of individuals with ASD are at increased risk for ASD and autistic traits, but the genetic contribution for simplex families is estimated to be less when compared to multiplex families. To explore the genomic (dis-) similarity between proband and unaffected sibling in simplex families, we used genome-wide gene expression profiles of blood from 20 proband-unaffected sibling pairs and 18 unrelated control individuals. The global gene expression profiles of unaffected siblings were more similar to those from probands as they shared genetic and environmental background. A total of 189 genes were significantly differentially expressed between proband-sib pairs (nominal p < 0.01) after controlling for age, sex, and family effects. Probands and siblings were distinguished into two groups by cluster analysis with these genes. Overall, unaffected siblings were equally distant from the centroid of probands and from that of unrelated controls with the differentially expressed genes. Interestingly, five of 20 siblings had gene expression profiles that were more similar to unrelated controls than to their matched probands. In summary, we found a set of genes that distinguished probands from the unaffected siblings, and a subgroup of unaffected siblings who were more similar to probands. The pathways that characterized probands compared to siblings using peripheral blood gene expression profiles were the up-regulation of ribosomal, spliceosomal, and mitochondrial pathways, and the down-regulation of neuroreceptor-ligand, immune response and calcium signaling pathways. Further integrative study with structural genetic variations such as de novo mutations, rare variants, and copy number variations would clarify whether these transcriptomic changes are structural or environmental in origin.

Entities:  

Mesh:

Year:  2013        PMID: 23625158      PMCID: PMC3686296          DOI: 10.1007/s10048-013-0363-z

Source DB:  PubMed          Journal:  Neurogenetics        ISSN: 1364-6745            Impact factor:   2.660


  39 in total

1.  A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics.

Authors:  Juliane Schäfer; Korbinian Strimmer
Journal:  Stat Appl Genet Mol Biol       Date:  2005-11-14

2.  Defining key features of the broad autism phenotype: a comparison across parents of multiple- and single-incidence autism families.

Authors:  Molly Losh; Debra Childress; Kristen Lam; Joseph Piven
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2008-06-05       Impact factor: 3.568

3.  Genetic heritability and shared environmental factors among twin pairs with autism.

Authors:  Joachim Hallmayer; Sue Cleveland; Andrea Torres; Jennifer Phillips; Brianne Cohen; Tiffany Torigoe; Janet Miller; Angie Fedele; Jack Collins; Karen Smith; Linda Lotspeich; Lisa A Croen; Sally Ozonoff; Clara Lajonchere; Judith K Grether; Neil Risch
Journal:  Arch Gen Psychiatry       Date:  2011-07-04

4.  A proteomic study of serum from children with autism showing differential expression of apolipoproteins and complement proteins.

Authors:  B A Corbett; A B Kantor; H Schulman; W L Walker; L Lit; P Ashwood; D M Rocke; F R Sharp
Journal:  Mol Psychiatry       Date:  2006-12-26       Impact factor: 15.992

5.  Mitochondrial dysfunction in autism.

Authors:  Cecilia Giulivi; Yi-Fan Zhang; Alicja Omanska-Klusek; Catherine Ross-Inta; Sarah Wong; Irva Hertz-Picciotto; Flora Tassone; Isaac N Pessah
Journal:  JAMA       Date:  2010-12-01       Impact factor: 56.272

6.  Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene.

Authors:  Maricela Alarcón; Brett S Abrahams; Jennifer L Stone; Jacqueline A Duvall; Julia V Perederiy; Jamee M Bomar; Jonathan Sebat; Michael Wigler; Christa L Martin; David H Ledbetter; Stanley F Nelson; Rita M Cantor; Daniel H Geschwind
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

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

Authors:  Jonathan Sebat; B Lakshmi; Dheeraj Malhotra; Jennifer Troge; Christa Lese-Martin; Tom Walsh; Boris Yamrom; Seungtai Yoon; Alex Krasnitz; Jude Kendall; Anthony Leotta; Deepa Pai; Ray Zhang; Yoon-Ha Lee; James Hicks; Sarah J Spence; Annette T Lee; Kaija Puura; Terho Lehtimäki; David Ledbetter; Peter K Gregersen; Joel Bregman; James S Sutcliffe; Vaidehi Jobanputra; Wendy Chung; Dorothy Warburton; Mary-Claire King; David Skuse; Daniel H Geschwind; T Conrad Gilliam; Kenny Ye; Michael Wigler
Journal:  Science       Date:  2007-03-15       Impact factor: 47.728

8.  Genome-wide expression profiling of lymphoblastoid cell lines distinguishes different forms of autism and reveals shared pathways.

Authors:  Yuhei Nishimura; Christa L Martin; Araceli Vazquez-Lopez; Sarah J Spence; Ana Isabel Alvarez-Retuerto; Marian Sigman; Corinna Steindler; Sandra Pellegrini; N Carolyn Schanen; Stephen T Warren; Daniel H Geschwind
Journal:  Hum Mol Genet       Date:  2007-05-21       Impact factor: 6.150

Review 9.  Autism genetics: searching for specificity and convergence.

Authors:  Jamee M Berg; Daniel H Geschwind
Journal:  Genome Biol       Date:  2012-07-31       Impact factor: 13.583

10.  Characteristics and predictive value of blood transcriptome signature in males with autism spectrum disorders.

Authors:  Sek Won Kong; Christin D Collins; Yuko Shimizu-Motohashi; Ingrid A Holm; Malcolm G Campbell; In-Hee Lee; Stephanie J Brewster; Ellen Hanson; Heather K Harris; Kathryn R Lowe; Adrianna Saada; Andrea Mora; Kimberly Madison; Rachel Hundley; Jessica Egan; Jillian McCarthy; Ally Eran; Michal Galdzicki; Leonard Rappaport; Louis M Kunkel; Isaac S Kohane
Journal:  PLoS One       Date:  2012-12-05       Impact factor: 3.240

View more
  19 in total

1.  Expression Analysis of BDNF, BACE1, and Their Natural Occurring Antisenses in Autistic Patients.

Authors:  Soudeh Ghafouri-Fard; Amir Namvar; Shahram Arsang-Jang; Alireza Komaki; Mohammad Taheri
Journal:  J Mol Neurosci       Date:  2019-11-23       Impact factor: 3.444

2.  Brief Report: The Negev Hospital-University-Based (HUB) Autism Database.

Authors:  Gal Meiri; Ilan Dinstein; Analya Michaelowski; Hagit Flusser; Michal Ilan; Michal Faroy; Asif Bar-Sinai; Liora Manelis; Dana Stolowicz; Lili Lea Yosef; Nadav Davidovitch; Hava Golan; Shosh Arbelle; Idan Menashe
Journal:  J Autism Dev Disord       Date:  2017-09

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

Authors:  Samuel C Lee; Thomas P Quinn; Jerry Lai; Sek Won Kong; Irva Hertz-Picciotto; Stephen J Glatt; Tamsyn M Crowley; Svetha Venkatesh; Thin Nguyen
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2018-12-06       Impact factor: 3.568

4.  Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.

Authors:  Daniel S Tylee; Jonathan L Hess; Thomas P Quinn; Rahul Barve; Hailiang Huang; Yanli Zhang-James; Jeffrey Chang; Boryana S Stamova; Frank R Sharp; Irva Hertz-Picciotto; Stephen V Faraone; Sek Won Kong; Stephen J Glatt
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2016-11-11       Impact factor: 3.568

5.  Developing a Predictive Gene Classifier for Autism Spectrum Disorders Based upon Differential Gene Expression Profiles of Phenotypic Subgroups.

Authors:  Valerie W Hu; Yinglei Lai
Journal:  N Am J Med Sci (Boston)       Date:  2013

Review 6.  The Role of Epigenetic Change in Autism Spectrum Disorders.

Authors:  Yuk Jing Loke; Anthony John Hannan; Jeffrey Mark Craig
Journal:  Front Neurol       Date:  2015-05-26       Impact factor: 4.003

7.  Genome-wide differential expression of synaptic long noncoding RNAs in autism spectrum disorder.

Authors:  Y Wang; X Zhao; W Ju; M Flory; J Zhong; S Jiang; P Wang; X Dong; X Tao; Q Chen; C Shen; M Zhong; Y Yu; W T Brown; N Zhong
Journal:  Transl Psychiatry       Date:  2015-10-20       Impact factor: 6.222

8.  A Putative Blood-Based Biomarker for Autism Spectrum Disorder-Associated Ileocolitis.

Authors:  Stephen J Walker; Daniel P Beavers; John Fortunato; Arthur Krigsman
Journal:  Sci Rep       Date:  2016-10-21       Impact factor: 4.379

9.  Integrative analysis of genetic data sets reveals a shared innate immune component in autism spectrum disorder and its co-morbidities.

Authors:  Sumaiya Nazeen; Nathan P Palmer; Bonnie Berger; Isaac S Kohane
Journal:  Genome Biol       Date:  2016-11-14       Impact factor: 13.583

Review 10.  Variation in Gene Expression in Autism Spectrum Disorders: An Extensive Review of Transcriptomic Studies.

Authors:  Ashley Ansel; Joshua P Rosenzweig; Philip D Zisman; Michal Melamed; Benjamin Gesundheit
Journal:  Front Neurosci       Date:  2017-01-05       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.