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

Author

Listed:
  • Shan V. Andrews

    (Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins Bloomberg School of Public Health)

  • Shannon E. Ellis

    (Johns Hopkins School of Medicine)

  • Kelly M. Bakulski

    (University of Michigan School of Public Health)

  • Brooke Sheppard

    (Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins Bloomberg School of Public Health)

  • Lisa A. Croen

    (Kaiser Permanente Northern California)

  • Irva Hertz-Picciotto

    (University of California Davis
    University of California Davis)

  • Craig J. Newschaffer

    (Drexel University
    Drexel University Dornsife School of Public Health)

  • Andrew P. Feinberg

    (Johns Hopkins School of Medicine
    Johns Hopkins School of Medicine)

  • Dan E. Arking

    (Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins School of Medicine)

  • Christine Ladd-Acosta

    (Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins School of Medicine)

  • M. Daniele Fallin

    (Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins School of Medicine
    Johns Hopkins Bloomberg School of Public Health)

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

Suggested Citation

  • 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., 2017. "Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00868-y
    DOI: 10.1038/s41467-017-00868-y
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