The majority of risk genetic variants for common and complex neuropsychiatric traits lie within noncoding regions. Previous efforts have linked risk variants to specific genes by leveraging transcriptome data and expression quantitative trait loci. Most recently, the generation of large-scale epigenome data and the availability of epigenome quantitative trait loci provide a powerful discovery tool for assigning a functional role to the genetic variation in neuropsychiatric traits. In this talk, we will focus on advances in integration of epigenome datasets with the risk of common and complex neuropsychiatric traits.

Original languageEnglish
Title of host publicationAdvances in Experimental Medicine and Biology
Number of pages1
StatePublished - 2020

Publication series

NameAdvances in Experimental Medicine and Biology
ISSN (Print)0065-2598
ISSN (Electronic)2214-8019


  • Big data analysis
  • Genetics
  • Neuropsychiatric disease


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