Evidence map›Paper›PMID 33683021›Full record

ArticleAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2021

Schizophrenia risk alleles often affect the expression of many genes and each gene may have a different effect on the risk: A mediation analysis.

Xi Peng, Joel S Bader, Dimitrios Avramopoulos

Open access · greenAbstract read
In one paragraph

Article in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 100% 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

4 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
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

3 authors at 1 institution in 1 country.

Xi PengDepartment of Biomedical Engineering, Whiting School of Engineering and School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Joel S BaderDepartment of Biomedical Engineering, Whiting School of Engineering and School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Dimitrios AvramopoulosDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-1492-9104
Johns Hopkins University · US

Funding

Project 3P50MH094268 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2020
$19.9M
SZ-associated loci: Functional consequences and treatment opportunitiesR01MH113215 · NIMH · JOHNS HOPKINS UNIVERSITY · PI AVRAMOPOULOS, DIMITRIOS · 2018 to 2021
$3.8M
Neuropsychiatric Disease-focused Exploration of Neuronal Regulatory LandscapesR01MH106522 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MCCALLION, ANDREW S · 2016 to 2021
$3.0M
SZ-associated loci: Functional consequences and treatment opportunitiesR56MH113215 · NIMH · JOHNS HOPKINS UNIVERSITY · PI AVRAMOPOULOS, DIMITRIOS · 2017 to 2017
$793k
Understanding GWAS signals: functional variants or functional haplotypes?R21MH122936 · NIMH · JOHNS HOPKINS UNIVERSITY · PI AVRAMOPOULOS, DIMITRIOS · 2020 to 2020
$450k
NIH HHS P50MH094268NIH HHS R01MH106522NIH HHS R01MH113215NIMH NIH HHS P50 MH094268NIMH NIH HHS R01 MH106522NIMH NIH HHS R01 MH113215NIMH NIH HHS R21 MH122936NIMH NIH HHS R56 MH113215
6 · The paper itself

Abstract

Variants identified by genome-wide association studies (GWAS) are often expression quantitative trait loci (eQTLs), suggesting they are proxies or are themselves regulatory. Across many data sets, analyses show that variants often affect multiple genes. Lacking data on many tissue types, developmental time points, and homogeneous cell types, the extent of this one-to-many relationship is underestimated. This raises questions on whether a disease eQTL target gene explains the genetic association or is a bystander and puts into question the direction of expression effect of on the risk, since the many variants-regulated genes may have opposing effects, imperfectly balancing each other. We used two brain gene expression data sets (CommonMind and BrainSeq) for mediation analysis of schizophrenia-associated variants. We confirm that eQTL target genes often mediate risk but the direction in which expression affects risk is often different from that in which the risk allele changes expression. Of 38 mediator genes significant in both data sets 33 showed consistent mediation direction (Chi

Indexed as

AllelesGene ExpressionGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMediation AnalysisMultifactorial InheritancePolymorphism, Single NucleotideQuantitative Trait LociRisk FactorsSchizophreniaexpression quantitative trait locusmediationschizophrenia

Identifiers

PMID33683021
PMCPMC10315436
OpenAlexW3105993455

What OpenQuestion holds

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Registered trials

None linked

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.