Evidence map›Paper›PMID 31608310›Full record

ArticleJournal of psychiatry and brain science2019

Psychiatric Genetics, Epigenetics, and Cellular Models in Coming Years.

Chunyu Liu, Stephen V Faraone, Stephen J Glatt

Abstract read
In one paragraph

Article in Journal of psychiatry and brain science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Chunyu LiuDepartment of Psychiatry, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
Stephen V FaraoneDepartment of Psychiatry, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
Stephen J GlattDepartment of Psychiatry, SUNY Upstate Medical University, Syracuse, NY 13210, USA.

Funding

2/2-Discovery and validation of neuronal enhancers associated with the development of psychiatric disordersU01MH116489 · NIMH · UNIVERSITY OF CHICAGO · PI GAYNOR, SOPHIA, GESCHWIND, DANIEL H · 2018 to 2022
$4.5M
Genetic variants affect brain gene expression and risks of psychiatric disordersU01MH103340 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU, RZHETSKY, ANDREY · 2014 to 2017
$4.3M
Longitudinal Family/Molecular Genetic Study to Validate Research Domain CriteriaR01MH101519 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI FARAONE, STEPHEN V, GLATT, STEPHEN J · 2014 to 2018
$3.5M
Gene Expression Biomarkers for Early Identification of Mild Cognitive Impairment: A Twin StudyR01AG054002 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLATT, STEPHEN J, TSUANG, MING T. · 2016 to 2019
$2.7M
1/2 Measuring translational dynamics and the proteome to identify potential brain biomarkers for psychiatric diseaseR01MH110920 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU · 2016 to 2019
$2.0M
NIA NIH HHS R01 AG054002NIMH NIH HHS R01 MH101519NIMH NIH HHS R01 MH110920NIMH NIH HHS U01 MH103340NIMH NIH HHS U01 MH116489
6 · The paper itself

Abstract

Psychiatric genetic studies have uncovered hundreds of loci associated with various psychiatric disorders. We take the opportunity to review achievements in the past and provide our view of what is coming in the fields of molecular genetics, epigenetics, and cellular models. We expect that SNP-array and sequencing-based studies of genetic associations will continue to expand, covering more disorders, drug responses, phenotypes, and diverse populations. Epigenetic studies of psychiatric disorders will be another promising field with the growing recognition that environmental factors impact the risk for psychiatric disorders by modulating epigenetic factors. Functional studies of genetic findings will be needed in cellular models to provide important connections between genetic and epigenetic variants and biological phenotypes.

Indexed as

behaviorcellular phenotypedrug responseepigeneticsfunction studygeneticsmolecular phenotypepopulation diversitypsychiatryregulatory network

Identifiers

PMID31608310
PMCPMC6788748

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.