Evidence map›Paper›PMID 39719446›Full record

ReviewTranslational psychiatry2024

Endophenotype 2.0: updated definitions and criteria for endophenotypes of psychiatric disorders, incorporating new technologies and findings.

Chunyu Liu, Elliot S Gershon

Abstract readReview
In one paragraph

Review in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

2 authors.

Chunyu LiuDepartment of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA. liuch@upstate.edu.ORCID 0000-0002-5986-4415
Elliot S GershonDepartments of Psychiatry and Human Genetics, The University of Chicago, Chicago, IL, USA. egershon@bsd.uchicago.edu.ORCID 0000-0003-4818-8631

Funding

Stability of Biotypes: a Longitudinal Evaluation (STABLE)R01MH103368 · NIMH · UNIVERSITY OF CHICAGO · PI GERSHON, ELLIOT S, KEEDY, SARAH K · 2015 to 2019
$4.5M
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
Gene Expression Regulation in Brains of East Asian, African, and European Descent Explains Schizophrenia GWAS in Diverse Populations.R01MH126459 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI Chunyu Liu · 2022 to 2026
$3.7M
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
2/5-Clozapine Response and Biomarker Correlates in Low-IEA Biotype-1R01MH124804 · NIMH · UNIVERSITY OF CHICAGO · PI GERSHON, ELLIOT S, KEEDY, SARAH K · 2021 to 2025
$1.8M
Somatic Mutations in Brain in Alzheimer's DiseaseR21AG045789 · NIA · UNIVERSITY OF CHICAGO · PI FAULKNER, GEOFFREY JOHN, GERSHON, ELLIOT S · 2014 to 2015
$487k
1/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease.U01MH122591 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU · 2020 to 2022
$483k
1/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease.R01MH122591 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU · 2023 to 2024
$306k
NIA NIH HHS R21 AG045789NIMH NIH HHS R01 MH103368NIMH NIH HHS R01 MH110920NIMH NIH HHS R01 MH122591NIMH NIH HHS R01 MH124804NIMH NIH HHS R01 MH126459NIMH NIH HHS U01 MH103340NIMH NIH HHS U01 MH116489NIMH NIH HHS U01 MH122591U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH103368U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U01MH122591U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R21AG045789
6 · The paper itself

Abstract

Recent genetic studies have linked numerous loci to psychiatric disorders. However, the biological pathways that connect these genetic associations to psychiatric disorders' specific pathophysiological processes are largely unclear. Endophenotypes, first defined over five decades ago, are heritable traits, independent of disease state that are associated with a disease, encompassing a broad range of neurophysiological, biochemical, endocrinological, neuroanatomical, cognitive, and neuropsychological characteristics. Considering the advancements in genetics and genomics over recent decades, we propose a revised definition of endophenotypes as 'genetically influenced phenotypes linked to disease or treatment characteristics and their related events.' We also updated endophenotype criteria to include (1) reliable measurement, (2) association with the disease or its related events, and (3) genetic mediation. 'Genetic mediation' is introduced to differentiate between causality and pleiotropic effects and allows non-linear relationships. Furthermore, this updated Endophenotype 2.0 framework expands to encompass genetically regulated responses to disease-related factors, including environmental risks, illness progression, treatment responses, and resilience phenotypes, which may be state-dependent. This broadened definition paves the way for developing new endophenotypes crucial for genetic analyses in psychiatric disorders. Integrating genetics, genomics, and diverse endophenotypes into multi-dimensional mechanistic models is vital for advancing our understanding of psychiatric disorders. Crucially, elucidating the biological underpinnings of endophenotypes will enhance our grasp of psychiatric genetics, thereby improving disease risk prediction and treatment approaches.

Indexed as

EndophenotypesMental DisordersGenetic Predisposition to DiseaseHumansPhenotype

Identifiers

PMID39719446
PMCPMC11668880

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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.