Integrative analyses highlight functional regulatory variants associated with neuropsychiatric diseases

Margaret G. Guo, David L. Reynolds, Cheen E. Ang, Yingfei Liu, Yang Zhao, Laura K.H. Donohue, Zurab Siprashvili, Xue Yang, Yongjin Yoo, Smarajit Mondal, Audrey Hong, Jessica Kain, Lindsey Meservey, Tania Fabo, Ibtihal Elfaki, Laura N. Kellman, Nathan S. Abell, Yash Pershad, Vafa Bayat, Payam EtminaniMark Holodniy, Daniel H. Geschwind, Stephen B. Montgomery, Laramie E. Duncan, Alexander E. Urban, Russ B. Altman, Marius Wernig, Paul A. Khavari

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Noncoding variants of presumed regulatory function contribute to the heritability of neuropsychiatric disease. A total of 2,221 noncoding variants connected to risk for ten neuropsychiatric disorders, including autism spectrum disorder, attention deficit hyperactivity disorder, bipolar disorder, borderline personality disorder, major depression, generalized anxiety disorder, panic disorder, post-traumatic stress disorder, obsessive-compulsive disorder and schizophrenia, were studied in developing human neural cells. Integrating epigenomic and transcriptomic data with massively parallel reporter assays identified differentially-active single-nucleotide variants (daSNVs) in specific neural cell types. Expression-gene mapping, network analyses and chromatin looping nominated candidate disease-relevant target genes modulated by these daSNVs. Follow-up integration of daSNV gene editing with clinical cohort analyses suggested that magnesium transport dysfunction may increase neuropsychiatric disease risk and indicated that common genetic pathomechanisms may mediate specific symptoms that are shared across multiple neuropsychiatric diseases.

Original languageEnglish
Pages (from-to)1876-1891
Number of pages16
JournalNature Genetics
Volume55
Issue number11
DOIs
StatePublished - Nov 2023
Externally publishedYes

Fingerprint

Dive into the research topics of 'Integrative analyses highlight functional regulatory variants associated with neuropsychiatric diseases'. Together they form a unique fingerprint.

Cite this