Evidence map›Paper›PMID 36424644›Full record

ArticleGenome medicine2022

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

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  8. Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Shuang Liu *Waisman Center, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Hyejung Won *Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Declan Clarke *Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA.
Nana MatobaDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Saniya KhullarWaisman Center, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Yudi MuDepartment of Statistics, University of Wisconsin - Madison, Madison, WI, 53706, USA.
Daifeng WangWaisman Center, University of Wisconsin - Madison, Madison, WI, 53705, USA. daifeng.wang@wisc.edu.ORCID 0000-0001-9190-3704
Mark GersteinDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA. mark@gersteinlab.org.ORCID 0000-0002-9746-3719
University of Wisconsin–Madison · USUniversity of North Carolina at Chapel Hill · USYale University · US

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer DiseaseR01AG067025 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FINKBEINER, STEVEN M, HAROUTUNIAN, VAHRAM · 2019 to 2023
$11.8M
Discovery and validation of neuronal enhancers as development of psychiatric disorders supplementU01MH116492 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GERSTEIN, MARK BENDER, WENG, ZHIPING · 2018 to 2023
$6.2M
Deciphering Cell-type Specific Regulatory Landscape in Human BrainDP2MH122403 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WON, HYEJUNG · 2019 to 2019
$2.3M
Integrative analysis of genomics and imaging data from the BRAIN Initiative and other public data sourcesRF1MH123245 · NIMH · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER, HOLMES, AVRAM J · 2021 to 2021
$1.3M
Machine learning analyses of single-cell multi-modal data for understanding cell-type functional genomics and gene regulationRF1MH128695 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI WANG, DAIFENG · 2022 to 2022
$1.2M
Discovery and validation of genetic variation impacting the gene regulatory landscape during human cortical developmentU01MH122509 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI STEIN, JASON LOUIS, WON, HYEJUNG · 2021 to 2022
$1.2M
Connecting gene regulatory mechanisms in human brain to psychiatric illnessR00MH113823 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WON, HYEJUNG · 2018 to 2020
$719k
Using H-MAGMA to decipher neurobiological bases of smoking and alcohol use traitsR21DA051921 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WON, HYEJUNG · 2020 to 2021
$453k
Prediction and Validation of Oligodendrocyte Gene Regulatory Network from Multi-OmicsR21NS128761 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI SVAREN, JOHN P, WANG, DAIFENG · 2022 to 2022
$401k
Creation of a Schwann Cell Gene Regulatory NetworkR21NS127432 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI SVAREN, JOHN P, WANG, DAIFENG · 2022 to 2023
$401k
NIA NIH HHS R01 AG067025NIDA NIH HHS R21 DA051921NIMH NIH HHS DP2 MH122403NIMH NIH HHS R00 MH113823NIMH NIH HHS RF1 MH123245NIMH NIH HHS RF1 MH128695NIMH NIH HHS U01 MH116492NIMH NIH HHS U01 MH122509NINDS NIH HHS R21 NS127432NINDS NIH HHS R21 NS128761NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

backgroundNeuropsychiatric disorders afflict a large portion of the global population and constitute a significant source of disability worldwide. Although Genome-wide Association Studies (GWAS) have identified many disorder-associated variants, the underlying regulatory mechanisms linking them to disorders remain elusive, especially those involving distant genomic elements. Expression quantitative trait loci (eQTLs) constitute a powerful means of providing this missing link. However, most eQTL studies in human brains have focused exclusively on cis-eQTLs, which link variants to nearby genes (i.e., those within 1 Mb of a variant). A complete understanding of disease etiology requires a clearer understanding of trans-regulatory mechanisms, which, in turn, entails a detailed analysis of the relationships between variants and expression changes in distant genes.

methodsBy leveraging large datasets from the PsychENCODE consortium, we conducted a genome-wide survey of trans-eQTLs in the human dorsolateral prefrontal cortex. We also performed colocalization and mediation analyses to identify mediators in trans-regulation and use trans-eQTLs to link GWAS loci to schizophrenia risk genes.

resultsWe identified ~80,000 candidate trans-eQTLs (at FDR<0.25) that influence the expression of ~10K target genes (i.e., "trans-eGenes"). We found that many variants associated with these candidate trans-eQTLs overlap with known cis-eQTLs. Moreover, for >60% of these variants (by colocalization), the cis-eQTL's target gene acts as a mediator for the trans-eQTL SNP's effect on the trans-eGene, highlighting examples of cis-mediation as essential for trans-regulation. Furthermore, many of these colocalized variants fall into a discernable pattern wherein cis-eQTL's target is a transcription factor or RNA-binding protein, which, in turn, targets the gene associated with the candidate trans-eQTL. Finally, we show that trans-regulatory mechanisms provide valuable insights into psychiatric disorders: beyond what had been possible using only cis-eQTLs, we link an additional 23 GWAS loci and 90 risk genes (using colocalization between candidate trans-eQTLs and schizophrenia GWAS loci).

conclusionsWe demonstrate that the transcriptional architecture of the human brain is orchestrated by both cis- and trans-regulatory variants and found that trans-eQTLs provide insights into brain-disease biology.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociGene Expression RegulationHumansPolymorphism, Single NucleotidePrefrontal Cortex

Identifiers

PMID36424644
PMCPMC9685876
OpenAlexW4309890810

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.