Skip to main content
Top
Published in: neurogenetics 2/2013

01-05-2013 | Original Article

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

Authors: S. W. Kong, 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

Published in: Neurogenetics | Issue 2/2013

Login to get access

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Luo R et al (2012) Genome-wide transcriptome profiling reveals the functional impact of rare de novo and recurrent CNVs in autism spectrum disorders. Am J Hum Genet 91(1):38–55PubMed Luo R et al (2012) Genome-wide transcriptome profiling reveals the functional impact of rare de novo and recurrent CNVs in autism spectrum disorders. Am J Hum Genet 91(1):38–55PubMed
2.
go back to reference Sanders SJ et al (2011) Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism. Neuron 70:863–885PubMedCrossRef Sanders SJ et al (2011) Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism. Neuron 70:863–885PubMedCrossRef
3.
go back to reference Anney R et al (2010) A genome-wide scan for common alleles affecting risk for autism. Hum Mol Genet 19(20):4072–82PubMedCrossRef Anney R et al (2010) A genome-wide scan for common alleles affecting risk for autism. Hum Mol Genet 19(20):4072–82PubMedCrossRef
4.
go back to reference Alarcon M et al (2008) Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene. Am J Hum Genet 82(1):150–9PubMedCrossRef Alarcon M et al (2008) Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene. Am J Hum Genet 82(1):150–9PubMedCrossRef
5.
go back to reference Hallmayer J et al (2011) Genetic heritability and shared environmental factors among twin pairs with autism. Arch Gen Psychiatry 68:1095–1102PubMedCrossRef Hallmayer J et al (2011) Genetic heritability and shared environmental factors among twin pairs with autism. Arch Gen Psychiatry 68:1095–1102PubMedCrossRef
6.
go back to reference Ritvo ER et al (1989) The UCLA–University of Utah epidemiologic survey of autism: recurrence risk estimates and genetic counseling. Am J Psychiatry 146(8):1032–6PubMed Ritvo ER et al (1989) The UCLA–University of Utah epidemiologic survey of autism: recurrence risk estimates and genetic counseling. Am J Psychiatry 146(8):1032–6PubMed
7.
go back to reference Chakrabarti S, Fombonne E (2001) Pervasive developmental disorders in preschool children. JAMA 285(24):3093–9PubMedCrossRef Chakrabarti S, Fombonne E (2001) Pervasive developmental disorders in preschool children. JAMA 285(24):3093–9PubMedCrossRef
8.
go back to reference Ozonoff S et al (2011) Recurrence risk for autism spectrum disorders: a Baby Siblings Research Consortium study. Pediatrics 128(3):e488–95PubMed Ozonoff S et al (2011) Recurrence risk for autism spectrum disorders: a Baby Siblings Research Consortium study. Pediatrics 128(3):e488–95PubMed
9.
go back to reference Szatmari P et al (2000) The familial aggregation of the lesser variant in biological and nonbiological relatives of PDD probands: a family history study. J Child Psychol Psychiatry 41(5):579–86PubMedCrossRef Szatmari P et al (2000) The familial aggregation of the lesser variant in biological and nonbiological relatives of PDD probands: a family history study. J Child Psychol Psychiatry 41(5):579–86PubMedCrossRef
10.
go back to reference Constantino JN et al (2006) Autistic social impairment in the siblings of children with pervasive developmental disorders. Am J Psychiatry 163(2):294–6PubMedCrossRef Constantino JN et al (2006) Autistic social impairment in the siblings of children with pervasive developmental disorders. Am J Psychiatry 163(2):294–6PubMedCrossRef
11.
go back to reference Losh M et al (2008) Defining key features of the broad autism phenotype: a comparison across parents of multiple- and single-incidence autism families. Am J Med Genet B Neuropsychiatr Genet 147B(4):424–33PubMedCrossRef Losh M et al (2008) Defining key features of the broad autism phenotype: a comparison across parents of multiple- and single-incidence autism families. Am J Med Genet B Neuropsychiatr Genet 147B(4):424–33PubMedCrossRef
12.
go back to reference Sebat J et al (2007) Strong association of de novo copy number mutations with autism. Science 316:445–449PubMedCrossRef Sebat J et al (2007) Strong association of de novo copy number mutations with autism. Science 316:445–449PubMedCrossRef
13.
go back to reference Neale BM et al (2012) Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485:242–245PubMedCrossRef Neale BM et al (2012) Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485:242–245PubMedCrossRef
14.
go back to reference Pinto D et al (2010) Functional impact of global rare copy number variation in autism spectrum disorders. Nature 466:368–372PubMedCrossRef Pinto D et al (2010) Functional impact of global rare copy number variation in autism spectrum disorders. Nature 466:368–372PubMedCrossRef
15.
go back to reference Berg JM, Geschwind DH (2012) Autism genetics: searching for specificity and convergence. Genome Biol 13(7):247PubMedCrossRef Berg JM, Geschwind DH (2012) Autism genetics: searching for specificity and convergence. Genome Biol 13(7):247PubMedCrossRef
16.
go back to reference Kong SW et al (2012) Characteristics and predictive value of blood transcriptome signature in males with autism spectrum disorders. PLoS One 7(12):e49475PubMedCrossRef Kong SW et al (2012) Characteristics and predictive value of blood transcriptome signature in males with autism spectrum disorders. PLoS One 7(12):e49475PubMedCrossRef
17.
go back to reference Glatt SJ et al (2012) Blood-based gene expression signatures of infants and toddlers with autism. J Am Acad Child Adolesc Psychiatry 51(9):934–44 e2PubMedCrossRef Glatt SJ et al (2012) Blood-based gene expression signatures of infants and toddlers with autism. J Am Acad Child Adolesc Psychiatry 51(9):934–44 e2PubMedCrossRef
18.
go back to reference Enstrom AM et al (2009) Altered gene expression and function of peripheral blood natural killer cells in children with autism. Brain Behav Immun 23(1):124–33PubMedCrossRef Enstrom AM et al (2009) Altered gene expression and function of peripheral blood natural killer cells in children with autism. Brain Behav Immun 23(1):124–33PubMedCrossRef
19.
go back to reference Hu VW et al (2009) Gene expression profiling differentiates autism case-controls and phenotypic variants of autism spectrum disorders: evidence for circadian rhythm dysfunction in severe autism. Autism Res 2(2):78–97PubMedCrossRef Hu VW et al (2009) Gene expression profiling differentiates autism case-controls and phenotypic variants of autism spectrum disorders: evidence for circadian rhythm dysfunction in severe autism. Autism Res 2(2):78–97PubMedCrossRef
20.
go back to reference Hu VW et al (2009) Gene expression profiling of lymphoblasts from autistic and nonaffected sib pairs: altered pathways in neuronal development and steroid biosynthesis. PLoS One 4(6):e5775PubMedCrossRef Hu VW et al (2009) Gene expression profiling of lymphoblasts from autistic and nonaffected sib pairs: altered pathways in neuronal development and steroid biosynthesis. PLoS One 4(6):e5775PubMedCrossRef
21.
22.
go back to reference Nishimura Y et al (2007) Genome-wide expression profiling of lymphoblastoid cell lines distinguishes different forms of autism and reveals shared pathways. Hum Mol Genet 16(14):1682–98PubMedCrossRef Nishimura Y et al (2007) Genome-wide expression profiling of lymphoblastoid cell lines distinguishes different forms of autism and reveals shared pathways. Hum Mol Genet 16(14):1682–98PubMedCrossRef
23.
go back to reference Baron CA et al (2006) Utilization of lymphoblastoid cell lines as a system for the molecular modeling of autism. J Autism Dev Disord 36(8):973–82PubMedCrossRef Baron CA et al (2006) Utilization of lymphoblastoid cell lines as a system for the molecular modeling of autism. J Autism Dev Disord 36(8):973–82PubMedCrossRef
24.
go back to reference Storey JD, Tibshirani R (2003) Statistical significance for genomewide studies. Proc Natl Acad Sci U S A 100(16):9440–5PubMedCrossRef Storey JD, Tibshirani R (2003) Statistical significance for genomewide studies. Proc Natl Acad Sci U S A 100(16):9440–5PubMedCrossRef
25.
go back to reference Schäfer J, Strimmer K (2005) A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Statist Appl Genet Mol Biol 4:(32) Schäfer J, Strimmer K (2005) A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Statist Appl Genet Mol Biol 4:(32)
27.
go back to reference Constantino JN et al (2010) Sibling recurrence and the genetic epidemiology of autism. Am J Psychiatry 167(11):1349–56PubMedCrossRef Constantino JN et al (2010) Sibling recurrence and the genetic epidemiology of autism. Am J Psychiatry 167(11):1349–56PubMedCrossRef
28.
go back to reference Kanehisa M et al (2012) KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res 40(Database issue):D109–14PubMedCrossRef Kanehisa M et al (2012) KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res 40(Database issue):D109–14PubMedCrossRef
29.
go back to reference Levy D et al (2011) Rare de novo and transmitted copy-number variation in autistic spectrum disorders. Neuron 70(5):886–97PubMedCrossRef Levy D et al (2011) Rare de novo and transmitted copy-number variation in autistic spectrum disorders. Neuron 70(5):886–97PubMedCrossRef
30.
go back to reference Szatmari P et al (2007) Mapping autism risk loci using genetic linkage and chromosomal rearrangements. Nat Genet 39:319–328PubMedCrossRef Szatmari P et al (2007) Mapping autism risk loci using genetic linkage and chromosomal rearrangements. Nat Genet 39:319–328PubMedCrossRef
31.
go back to reference Marshall CR et al (2008) Structural variation of chromosomes in autism spectrum disorder. Am J Hum Genet 82:477–488PubMedCrossRef Marshall CR et al (2008) Structural variation of chromosomes in autism spectrum disorder. Am J Hum Genet 82:477–488PubMedCrossRef
32.
go back to reference Vargas DL et al (2005) Neuroglial activation and neuroinflammation in the brain of patients with autism. Ann Neurol 57(1):67–81PubMedCrossRef Vargas DL et al (2005) Neuroglial activation and neuroinflammation in the brain of patients with autism. Ann Neurol 57(1):67–81PubMedCrossRef
33.
go back to reference Corbett BA et al (2007) A proteomic study of serum from children with autism showing differential expression of apolipoproteins and complement proteins. Mol Psychiatry 12(3):292–306PubMed Corbett BA et al (2007) A proteomic study of serum from children with autism showing differential expression of apolipoproteins and complement proteins. Mol Psychiatry 12(3):292–306PubMed
34.
go back to reference Garbett K et al (2008) Immune transcriptome alterations in the temporal cortex of subjects with autism. Neurobiol Dis 30(3):303–11PubMedCrossRef Garbett K et al (2008) Immune transcriptome alterations in the temporal cortex of subjects with autism. Neurobiol Dis 30(3):303–11PubMedCrossRef
35.
go back to reference Cross-Disorder Group of the Psychiatric Genomics, C. (2013) Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet Cross-Disorder Group of the Psychiatric Genomics, C. (2013) Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet
37.
go back to reference Anitha A et al (2012) Downregulation of the expression of mitochondrial electron transport complex genes in autism brains. Brain Pathol. 23(3):294–302 Anitha A et al (2012) Downregulation of the expression of mitochondrial electron transport complex genes in autism brains. Brain Pathol. 23(3):294–302
38.
go back to reference Chugani DC et al (1999) Evidence of altered energy metabolism in autistic children. Prog Neuropsychopharmacol Biol Psychiatry 23(4):635–41PubMedCrossRef Chugani DC et al (1999) Evidence of altered energy metabolism in autistic children. Prog Neuropsychopharmacol Biol Psychiatry 23(4):635–41PubMedCrossRef
39.
go back to reference Minshew NJ et al (1993) A preliminary 31P MRS study of autism: evidence for undersynthesis and increased degradation of brain membranes. Biol Psychiatry 33(11–12):762–73PubMedCrossRef Minshew NJ et al (1993) A preliminary 31P MRS study of autism: evidence for undersynthesis and increased degradation of brain membranes. Biol Psychiatry 33(11–12):762–73PubMedCrossRef
Metadata
Title
Peripheral blood gene expression signature differentiates children with autism from unaffected siblings
Authors
S. W. Kong
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
Publication date
01-05-2013
Publisher
Springer-Verlag
Published in
Neurogenetics / Issue 2/2013
Print ISSN: 1364-6745
Electronic ISSN: 1364-6753
DOI
https://doi.org/10.1007/s10048-013-0363-z

Other articles of this Issue 2/2013

neurogenetics 2/2013 Go to the issue