Evidence map›Paper›PMID 34475392›Full record

ArticleNature communications2021

Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk.

Kira A Perzel Mandell, Nicholas J Eagles, Richard Wilton, Amanda J Price, Stephen A Semick, Leonardo Collado-Torres, William S Ulrich, Ran Tao, Shizhong Han, Alexander S Szalay and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Deep learning for psychiatric genomics: from tools to applications.Current opinion in genetics & development · 2026
    Review
  8. Article
  9. Article
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  11. Article
  12. A comprehensive guide to genomeZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  13. Article
  14. fSuSiE enables fine-mapping of QTLs from genome-scale molecular profiles.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Smoking-informed methylation and expression QTLs in human brain and colocalization with smoking-associated genetic loci.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    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

14 authors at 3 institutions in 1 country.

Kira A Perzel MandellLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0001-6262-6904
Nicholas J EaglesLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-9808-5254
Richard WiltonDepartment of Physics and Astronomy, Johns Hopkins University, Baltimore, MD, USA.
Amanda J PriceLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0001-7352-3732
Stephen A SemickLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0001-8100-2312
Leonardo Collado-TorresLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0003-2140-308X
William S UlrichLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Ran TaoLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Shizhong HanLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Alexander S SzalayDepartment of Physics and Astronomy, Johns Hopkins University, Baltimore, MD, USA.
Thomas M HydeLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-8746-3037
Joel E KleinmanLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-4210-6052
Daniel R WeinbergerLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA. drweinberger@libd.org.ORCID 0000-0003-2409-2969
Andrew E JaffeLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA. andrew.jaffe@libd.org.ORCID 0000-0001-6886-1454
Johns Hopkins University · USUniversity of Mary · USUniversity of Maryland, Baltimore · US

Funding

Functional methylomics approaches for schizophrenia in the frontal cortex and hippocampusR01MH112751 · NIMH · LIEBER INSTITUTE, INC. · PI HAN, SHIZHONG · 2017 to 2021
$3.4M
Integrative approaches to identification and interpretation of genes underlying psychiatric disordersR01MH121394 · NIMH · LIEBER INSTITUTE, INC. · PI HAN, SHIZHONG · 2020 to 2023
$2.4M
NIMH NIH HHS R01 MH112751NIMH NIH HHS R01 MH121394
6 · The paper itself

Abstract

DNA methylation (DNAm) is an epigenetic regulator of gene expression and a hallmark of gene-environment interaction. Using whole-genome bisulfite sequencing, we have surveyed DNAm in 344 samples of human postmortem brain tissue from neurotypical subjects and individuals with schizophrenia. We identify genetic influence on local methylation levels throughout the genome, both at CpG sites and CpH sites, with 86% of SNPs and 55% of CpGs being part of methylation quantitative trait loci (meQTLs). These associations can further be clustered into regions that are differentially methylated by a given SNP, highlighting the genes and regions with which these loci are epigenetically associated. These findings can be used to better characterize schizophrenia GWAS-identified variants as epigenetic risk variants. Regions differentially methylated by schizophrenia risk-SNPs explain much of the heritability associated with risk loci, despite covering only a fraction of the genomic space. We provide a comprehensive, single base resolution view of association between genetic variation and genomic methylation, and implicate schizophrenia GWAS-associated variants as influencing the epigenetic plasticity of the brain.

Indexed as

DNA MethylationGenome, HumanAge FactorsBrainCpG IslandsEpigenesis, GeneticGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyGenotypeHumansPolymorphism, Single NucleotideQuantitative Trait LociSchizophrenia

Identifiers

PMID34475392
PMCPMC8413445
OpenAlexW3197041122

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.