Evidence map›Paper›PMID 30635639›Full record

ArticleMolecular psychiatry2020

Schizophrenia risk variants influence multiple classes of transcripts of sorting nexin 19 (SNX19).

Liang Ma, Stephen A Semick, Qiang Chen, Chao Li, Ran Tao, Amanda J Price, Joo Heon Shin, Yankai Jia, BrainSeq Consortium, Nicholas J Brandon and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.4field-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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  7. Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
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  17. Observational
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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

16 authors at 3 institutions in 1 country.

Liang Ma *Lieber Institute for Brain Development, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0001-7034-9011
Stephen A Semick *Lieber Institute for Brain Development, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0001-8100-2312
Qiang ChenLieber Institute for Brain Development, Baltimore, MD, 21205, USA.
Chao LiLieber Institute for Brain Development, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0002-2147-6281
Ran TaoLieber Institute for Brain Development, Baltimore, MD, 21205, USA.
Amanda J PriceLieber Institute for Brain Development, Baltimore, MD, 21205, USA.
Joo Heon ShinLieber Institute for Brain Development, Baltimore, MD, 21205, USA.
Yankai JiaLieber Institute for Brain Development, Baltimore, MD, 21205, USA.
BrainSeq Consortium
Nicholas J BrandonAstraZeneca Neuroscience, IMED Biotech Unit, AstraZeneca R&D, Boston, MA, 02451, USA.ORCID http://orcid.org/0000-0002-3917-0096
Alan J CrossAstraZeneca Neuroscience, IMED Biotech Unit, AstraZeneca R&D, Boston, MA, 02451, USA.
Thomas M HydeLieber Institute for Brain Development, Baltimore, MD, 21205, USA.
Joel E KleinmanLieber Institute for Brain Development, Baltimore, MD, 21205, USA.
Andrew E JaffeLieber Institute for Brain Development, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0001-6886-1454
Daniel R WeinbergerLieber Institute for Brain Development, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0003-2409-2969
Richard E StraubLieber Institute for Brain Development, Baltimore, MD, 21205, USA. richard.straub@libd.org.ORCID http://orcid.org/0000-0002-2084-3676
Lieber Institute for Brain Development · USJohns Hopkins University · USAstraZeneca (United States) · US

Funding

White Matter Abnormalities in SchizophreniaP50MH066392 · NIMH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI O'DONOVAN, MICHAEL J · 2002 to 2012
$18.6M
International Cohort Collection for Bipolar DisorderR01MH085542 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2008 to 2012
$10.7M
NMDA Receptor Hypofunction in the Amygdala of Schizophrenia PatientsP50MH096891 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BILKER, WARREN B. · 2012 to 2016
$10.6M
Genetics Association in Schizophrenia and Other DisordersR37MH057881 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DEVLIN, BERNIE · 2013 to 2022
$5.4M
Identifying therapeutic targets for autism using Shank3-deficient miceR01MH093725 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2011 to 2015
$2.5M
1/3-Networks from Multidimensional Data for Schizophrenia and Related DisordersR01MH097276 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHADT, ERIC E, SKLAR, PAMELA · 2012 to 2014
$2.5M
NCI NIH HHS HHSN261200800001ENHLBI NIH HHS HHSN268201000029CNIMH NIH HHS HHSN271201300031CNIMH NIH HHS P50 MH066392NIMH NIH HHS P50 MH096891NIMH NIH HHS R01 MH085542NIMH NIH HHS R01 MH093725NIMH NIH HHS R01 MH097276NIMH NIH HHS R37 MH057881
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified many genomic loci associated with risk for schizophrenia, but unambiguous identification of the relationship between disease-associated variants and specific genes, and in particular their effect on risk conferring transcripts, has proven difficult. To better understand the specific molecular mechanism(s) at the schizophrenia locus in 11q25, we undertook cis expression quantitative trait loci (cis-eQTL) mapping for this 2 megabase genomic region using postmortem human brain samples. To comprehensively assess the effects of genetic risk upon local expression, we evaluated multiple transcript features: genes, exons, and exon-exon junctions in multiple brain regions-dorsolateral prefrontal cortex (DLPFC), hippocampus, and caudate. Genetic risk variants strongly associated with expression of SNX19 transcript features that tag multiple rare classes of SNX19 transcripts, whereas they only weakly affected expression of an exon-exon junction that tags the majority of abundant transcripts. The most prominent class of SNX19 risk-associated transcripts is predicted to be overexpressed, defined by an exon-exon splice junction between exons 8 and 10 (junc8.10) and that is predicted to encode proteins that lack the characteristic nexin C terminal domain. Risk alleles were also associated with either increased or decreased expression of multiple additional classes of transcripts. With RACE, molecular cloning, and long read sequencing, we found a number of novel SNX19 transcripts that further define the set of potential etiological transcripts. We explored epigenetic regulation of SNX19 expression and found that DNA methylation at CpG sites near the primary transcription start site and within exon 2 partially mediate the effects of risk variants on risk-associated expression. ATAC sequencing revealed that some of the most strongly risk-associated SNPs are located within a region of open chromatin, suggesting a nearby regulatory element is involved. These findings indicate a potentially complex molecular etiology, in which risk alleles for schizophrenia generate epigenetic alterations and dysregulation of multiple classes of SNX19 transcripts.

Indexed as

AdultAllelesAutopsyBrainChromatinChromosome MappingDNA MethylationExonsFemaleGene ExpressionGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleChromatinSnx19 protein, mouseSorting Nexins

Identifiers

PMID30635639
OpenAlexW2909751888

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.