Evidence map›Paper›PMID 38145985›Full record

ArticleMolecular psychiatry2024

Convergence of the dysregulated regulome in schizophrenia with polygenic risk and evolutionarily constrained enhancers.

Pengfei Dong, Georgios Voloudakis, John F Fullard, Gabriel E Hoffman, Panos Roussos

Open access · greenAbstract read
In one paragraph

Article in Molecular psychiatry, 2024. 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
0.9field-weighted citation impact, top 24% 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, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  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

5 authors at 2 institutions in 1 country.

Pengfei DongCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. pengfei.dong@mssm.edu.ORCID 0000-0003-3735-5158
Georgios VoloudakisCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0002-5729-632X
John F FullardCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0001-9874-2907
Gabriel E HoffmanCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0002-0957-0224
Panos RoussosCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. panagiotis.roussos@mssm.edu.ORCID 0000-0002-4640-6239
Allen Institute for Brain Science · USIcahn School of Medicine at Mount Sinai · US

Funding

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
Higher Order Chromatin and Genetic Risk for Alzheimer's DiseaseR01AG050986 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2015 to 2025
$11.2M
Understanding the protective and neuroinflammatory role of human brain immune cells in Alzheimer DiseaseR01AG065582 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAROUTUNIAN, VAHRAM, ROUSSOS, PANAGIOTIS · 2020 to 2024
$9.9M
The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorderU01MH116442 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, DRACHEVA, STELLA · 2018 to 2022
$5.9M
Multiethnic genomic epigenomic and transcriptomic fine-mapping and functional validation analysis of schizophrenia and bipolar disorder risk lociR01MH125246 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2021 to 2025
$5.0M
Risk genetic variants and cis regulation of gene expression in Bipolar DisorderR01MH109677 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2016 to 2020
$4.6M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Characterizing and targeting subphenotypes of schizophrenia and bipolar disorder via individually imputed tissue and cell-type specific transcriptomesK08MH122911 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VOLOUDAKIS, GEORGIOS · 2020 to 2023
$770k
Brain and Behavior Research Foundation (Brain & Behavior Research Foundation) Young Investigator Grant 29683NIA NIH HHS R01 AG050986NIA NIH HHS R01 AG065582NIA NIH HHS R01 AG067025NIH HHS S10 OD026880NIH HHS S10 OD030463NIMH NIH HHS K08 MH122911NIMH NIH HHS R01 MH109677NIMH NIH HHS R01 MH125246NIMH NIH HHS U01 MH116442U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH109677U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH125246U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG050986U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG065582U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG067025
6 · The paper itself

Abstract

Enhancers play an essential role in the etiology of schizophrenia; however, the dysregulation of enhancer activity and its impact on the regulome in schizophrenia remains understudied. To address this gap in our knowledge, we assessed enhancer and gene expression in 1,382 brain samples comprising cases with schizophrenia and unaffected controls. Dysregulation of enhancer expression was concordant with changes in gene expression, and was more closely associated with schizophrenia polygenic risk, suggesting that enhancer dysregulation is proximal to the genetic etiology of the disease. Modeling the shared variance of cis-coordinated genes and enhancers revealed a gene regulatory program that was highly associated with genetic vulnerability to schizophrenia. By integrating coordinated factors with evolutionary constraints, we found that enhancers acquired during human evolution are more likely to regulate genes that are implicated in neuropsychiatric disorders and, thus, hold potential as therapeutic targets. Our analysis provides a systematic view of regulome dysregulation in schizophrenia and highlights its convergence with schizophrenia polygenic risk and human-gained enhancers.

Indexed as

Enhancer Elements, GeneticGenetic Predisposition to DiseaseMultifactorial InheritanceSchizophreniaAdultBrainFemaleGene Expression RegulationGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideRisk Factors

Identifiers

PMID38145985
PMCPMC11153027
OpenAlexW4390192859

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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.