Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder

Shan V. Andrews, Shannon E. Ellis, Kelly M. Bakulski, Brooke Sheppard, Lisa A. Croen, Irva Hertz-Picciotto, Craig J. Newschaffer, Andrew P. Feinberg, Dan E. Arking, Christine Ladd-Acosta, M. Daniele Fallin

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Integration of emerging epigenetic information with autism spectrum disorder (ASD) genetic results may elucidate functional insights not possible via either type of information in isolation. Here we use the genotype and DNA methylation (DNAm) data from cord blood and peripheral blood to identify SNPs associated with DNA methylation (meQTL lists). Additionally, we use publicly available fetal brain and lung meQTL lists to assess enrichment of ASD GWAS results for tissue-specific meQTLs. ASD-associated SNPs are enriched for fetal brain (OR = 3.55; P < 0.001) and peripheral blood meQTLs (OR = 1.58; P < 0.001). The CpG targets of ASD meQTLs across cord, blood, and brain tissues are enriched for immune-related pathways, consistent with other expression and DNAm results in ASD, and reveal pathways not implicated by genetic findings. This joint analysis of genotype and DNAm demonstrates the potential of both brain and blood-based DNAm for insights into ASD and psychiatric phenotypes more broadly.

Original languageEnglish (US)
Article number1011
JournalNature Communications
Volume8
Issue number1
DOIs
StatePublished - Dec 1 2017

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methylation
Epigenomics
DNA Methylation
Blood
blood
disorders
Tissue
Brain
deoxyribonucleic acid
brain
Fetal Blood
lists
Single Nucleotide Polymorphism
Genotype
phenotype
Genome-Wide Association Study
lungs
Psychiatry
Autism Spectrum Disorder
emerging

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

Cite this

Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder. / Andrews, Shan V.; Ellis, Shannon E.; Bakulski, Kelly M.; Sheppard, Brooke; Croen, Lisa A.; Hertz-Picciotto, Irva; Newschaffer, Craig J.; Feinberg, Andrew P.; Arking, Dan E.; Ladd-Acosta, Christine; Fallin, M. Daniele.

In: Nature Communications, Vol. 8, No. 1, 1011, 01.12.2017.

Research output: Contribution to journalArticle

Andrews, SV, Ellis, SE, Bakulski, KM, Sheppard, B, Croen, LA, Hertz-Picciotto, I, Newschaffer, CJ, Feinberg, AP, Arking, DE, Ladd-Acosta, C & Fallin, MD 2017, 'Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder', Nature Communications, vol. 8, no. 1, 1011. https://doi.org/10.1038/s41467-017-00868-y
Andrews, Shan V. ; Ellis, Shannon E. ; Bakulski, Kelly M. ; Sheppard, Brooke ; Croen, Lisa A. ; Hertz-Picciotto, Irva ; Newschaffer, Craig J. ; Feinberg, Andrew P. ; Arking, Dan E. ; Ladd-Acosta, Christine ; Fallin, M. Daniele. / Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder. In: Nature Communications. 2017 ; Vol. 8, No. 1.
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