Evidence map›Paper›PMID 36634217›Full record

ReviewPhysiological reviews2023

Examining the shared etiology of psychopathology with genome-wide association studies.

Travis T Mallard, Andrew D Grotzinger, Jordan W Smoller

Open access · greenAbstract readReview
In one paragraph

Review in Physiological reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  9. Transdiagnostic prevention in youth mental health, Part I: rationale, shared risk factors.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 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

3 authors at 2 institutions in 1 country.

Travis T MallardPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States.ORCID 0000-0002-3265-3001
Andrew D GrotzingerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States.
Jordan W SmollerPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States.ORCID 0000-0002-0381-6334
Broad Institute · USUniversity of Colorado Boulder · US

Funding

Partners Healthcare Training Program in Precision and Genomic MedicineT32HG010464 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI HEIDI L REHM, JORDAN W SMOLLER · 2019 to 2026
$3.1M
NHGRI NIH HHS T32 HG010464
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have ushered in a new era of reproducible discovery in psychiatric genetics. The field has now identified hundreds of common genetic variants that are associated with mental disorders, and many of them influence more than one disorder. By advancing the understanding of causal biology underlying psychopathology, GWAS results are poised to inform the development of novel therapeutics, stratification of at-risk patients, and perhaps even the revision of top-down classification systems in psychiatry. Here, we provide a concise review of GWAS findings with an emphasis on findings that have elucidated the shared genetic etiology of psychopathology, summarizing insights at three levels of analysis:

Indexed as

Genome-Wide Association StudyMental DisordersGenetic Predisposition to DiseaseHumansPhenotypegenome-wide association study (GWAS)pleiotropypsychiatric genetics

Identifiers

PMID36634217
PMCPMC9988537
OpenAlexW4315710055

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.