Evidence map›Paper›PMID 32518889›Full record

ReviewChronic stress (Thousand Oaks, Calif.)

Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective.

Frank R Wendt, Gita A Pathak, Daniel S Tylee, Aranyak Goswami, Renato Polimanti

Abstract readReview
In one paragraph

Review in Chronic stress (Thousand Oaks, Calif.). 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
–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

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

  1. Pooled it
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  8. Artificial Intelligence-Empowered Multimodal Learning in Psychiatry: A Scoping Review.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Review
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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

5 authors.

Frank R WendtDepartment of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA.ORCID https://orcid.org/0000-0002-2108-6822
Gita A PathakDepartment of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA.
Daniel S TyleeDepartment of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA.ORCID https://orcid.org/0000-0002-7579-6096
Aranyak GoswamiDepartment of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA.
Renato PolimantiDepartment of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA.ORCID https://orcid.org/0000-0003-0745-6046

Funding

Genome-wide Investigation of the Interplay Between Age-Related Hearing Loss and Smoking BehaviorsR21DC018098 · NIDCD · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2019 to 2021
$440k
Investigating the Systems Genetics of the Patterns of Polysubstance Abuse and AddictionR21DA047527 · NIDA · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2019 to 2020
$369k
NIDA NIH HHS R21 DA047527NIDCD NIH HHS R21 DC018098
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have been performed for many psychiatric disorders and revealed a complex polygenic architecture linking mental and physical health phenotypes. Psychiatric diagnoses are often heterogeneous, and several layers of trait heterogeneity may contribute to detection of genetic risks per disorder or across multiple disorders. In this review, we discuss these heterogeneities and their consequences on the discovery of risk loci using large-scale genetic data. We primarily highlight the ways in which sex and diagnostic complexity contribute to risk locus discovery in schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, autism spectrum disorder, posttraumatic stress disorder, major depressive disorder, obsessive-compulsive disorder, Tourette's syndrome and chronic tic disorder, anxiety disorders, suicidality, feeding and eating disorders, and substance use disorders. Genetic data also have facilitated discovery of clinically relevant subphenotypes also described here. Collectively, GWAS of psychiatric disorders revealed that the understanding of heterogeneity, polygenicity, and pleiotropy is critical to translate genetic findings into treatment strategies.

Indexed as

genome-wide association studiesheterogeneitypolygenicitypsychiatric disorders

Identifiers

PMID32518889
PMCPMC7254587

What OpenQuestion holds

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LicenceCC BY
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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.