Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex

Shuang Liu, View ORCID ProfileHyejung Won, Declan Clarke, View ORCID ProfileNana Matoba, Saniya Khullar, Yudi Mu, View ORCID ProfileDaifeng Wang, Mark Gerstein
doi: https://doi.org/10.1101/2021.09.07.459322
Shuang Liu
1Waisman Center, University of Wisconsin – Madison, Madison, WI, 53705, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hyejung Won
2Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
3Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Hyejung Won
Declan Clarke
4Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nana Matoba
2Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
3Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nana Matoba
Saniya Khullar
5Department of Biostatistics and Medical Informatics, University of Wisconsin – Madison, Madison, WI, 53706, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yudi Mu
6Department of Statistics, University of Wisconsin – Madison, Madison, WI, 53706, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daifeng Wang
1Waisman Center, University of Wisconsin – Madison, Madison, WI, 53705, USA
5Department of Biostatistics and Medical Informatics, University of Wisconsin – Madison, Madison, WI, 53706, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Daifeng Wang
  • For correspondence: mark@gersteinlab.org
Mark Gerstein
4Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
7Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
8Department of Computer Science, Yale University, New Haven, CT, 06520, USA
9Department of Statistics and Data Science, Yale University, New Haven, CT, 06520, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: mark@gersteinlab.org
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Psychiatric disorders exact immense human and economic tolls in societies globally. Underlying many of these disorders is a complex repertoire of genomic variants that influence the expression of genes involved in pathways and processes in the brain. Identifying such variants and their associated brain functions is thus essential for understanding the molecular underpinnings of psychiatric disorders. Genome-wide association studies (GWASes) have provided many variants associated with these disorders; however, our knowledge of the precise biological mechanisms by which these contribute to disease remains limited. In connection with this, expression quantitative trait loci (eQTLs) have provided useful information linking variants to genes and functions. However, most eQTL studies on human brain have focused exclusively on cis-eQTLs. A complete understanding of disease etiology should also include trans-regulatory mechanisms. Thus, we conduct one of the first genome-wide surveys of trans-eQTLs in the dorsolateral prefrontal cortex (DLPFC) by leveraging the large datasets from the PsychENCODE consortium. We identified ∼80,000 trans-eQTLs. We found that a significant number of these overlap with cis-eQTLs, thereby implicating cis-mediators as key players in trans-acting regulation. We show, furthermore, that trans-regulatory mechanisms provide novel insights into psychiatric disease. Particularly, colocalization analysis between trans-eQTLs and schizophrenia (SCZ) GWAS loci identified 90 novel SCZ risk genes and 23 GWAS loci previously uncharacterized by cis-eQTLs. Moreover, these 90 genes tend to be more central in transcriptome-wide co-expression networks and more susceptible to rare variants than SCZ-risk genes associated by cis-variation.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted September 07, 2021.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex
Shuang Liu, Hyejung Won, Declan Clarke, Nana Matoba, Saniya Khullar, Yudi Mu, Daifeng Wang, Mark Gerstein
bioRxiv 2021.09.07.459322; doi: https://doi.org/10.1101/2021.09.07.459322
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex
Shuang Liu, Hyejung Won, Declan Clarke, Nana Matoba, Saniya Khullar, Yudi Mu, Daifeng Wang, Mark Gerstein
bioRxiv 2021.09.07.459322; doi: https://doi.org/10.1101/2021.09.07.459322

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3683)
  • Biochemistry (7762)
  • Bioengineering (5658)
  • Bioinformatics (21219)
  • Biophysics (10544)
  • Cancer Biology (8151)
  • Cell Biology (11895)
  • Clinical Trials (138)
  • Developmental Biology (6727)
  • Ecology (10385)
  • Epidemiology (2065)
  • Evolutionary Biology (13833)
  • Genetics (9685)
  • Genomics (13047)
  • Immunology (8116)
  • Microbiology (19922)
  • Molecular Biology (7820)
  • Neuroscience (42930)
  • Paleontology (318)
  • Pathology (1276)
  • Pharmacology and Toxicology (2255)
  • Physiology (3346)
  • Plant Biology (7201)
  • Scientific Communication and Education (1309)
  • Synthetic Biology (1998)
  • Systems Biology (5526)
  • Zoology (1126)