Evidence map›Paper›PMID 36103194›Full record

ArticleJAMA psychiatry2022

Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System.

Tim B Bigdeli, Georgios Voloudakis, Peter B Barr, Bryan R Gorman, Giulio Genovese, Roseann E Peterson, David E Burstein, Vlad I Velicu, Yuli Li, Rishab Gupta and 24 more

Open access · hybridAbstract read
In one paragraph

Article in JAMA psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
10.7field-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

31 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  4. Precision medicine in mental health: applications, challenges, and recommendations.European psychiatry : the journal of the Association of European Psychiatrists · 2026
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  9. The impact of collider bias on genetic prediction in psychotic disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  13. A Multivariate Genomic Investigation of the Externalizing Spectrum and Suicide Risk.medRxiv : the preprint server for health sciences · 2025
    Article
  14. Article
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  20. Ten years ofSchizophrenia research. Cognition · 2024
    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

34 authors at 16 institutions in 2 countries.

Tim B BigdeliVA New York Harbor Healthcare System, Brooklyn.
Georgios VoloudakisJames J. Peters Veterans Affairs Medical Center, Bronx, New York.
Peter B BarrVA New York Harbor Healthcare System, Brooklyn.
Bryan R GormanMassachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain.
Giulio GenoveseStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Roseann E PetersonVA New York Harbor Healthcare System, Brooklyn.
David E BursteinJames J. Peters Veterans Affairs Medical Center, Bronx, New York.
Vlad I VelicuJames J. Peters Veterans Affairs Medical Center, Bronx, New York.
Yuli LiClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.
Rishab GuptaDepartment of Psychiatry, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Manuel MattheisenDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
Simone TomasiJames J. Peters Veterans Affairs Medical Center, Bronx, New York.
Nallakkandi RajeevanClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.
Frederick SaywardClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.
Krishnan RadhakrishnanNational Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, Maryland.
Sundar NatarajanVA New York Harbor Healthcare System, Brooklyn.
Anil K MalhotraCenter for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York.
Yunling ShiMassachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain.
Hongyu ZhaoClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.
Thomas R KostenMichael E. DeBakey VA Medical Center, Houston, Texas.
John ConcatoYale University School of Medicine, New Haven, Connecticut.
Timothy J O'LearyOffice of Research and Development, Veterans Health Administration, Washington, DC.
Ronald PrzygodzkiOffice of Research and Development, Veterans Health Administration, Washington, DC.
Theresa GleasonOffice of Research and Development, Veterans Health Administration, Washington, DC.
Saiju PyarajanMassachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain.
Mary BrophyMassachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain.
Grant D HuangOffice of Research and Development, Veterans Health Administration, Washington, DC.
Sumitra MuralidharOffice of Research and Development, Veterans Health Administration, Washington, DC.
J Michael GazianoMassachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain.
Mihaela AslanClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.
Ayman H FanousDepartment of Psychiatry, University of Arizona College of Medicine-Phoenix, Phoenix.
Philip D HarveyBruce W. Carter Miami Veterans Affairs (VA) Medical Center, Miami, Florida.
Panos RoussosJames J. Peters Veterans Affairs Medical Center, Bronx, New York.
Cooperative Studies Program (CSP) #572 and Million Veteran Program (MVP)
VA Office of Research and Development · USYale University · USJames J. Peters VA Medical Center · USSUNY Downstate Health Sciences University · USBoston University · USCenter for Drug Evaluation and Research · USMichael E. DeBakey VA Medical Center · USUniversity of Arizona · USUniversity of Miami · USBrigham and Women's Hospital · USBroad Institute · USDalhousie University · CAHarvard University · USNorthwell Health · USSubstance Abuse and Mental Health Services Administration · USVA NY Harbor Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Cross-Population Working Group on Genes and Environment in Major Depression (POP-GEM): Advancing the Understating of Etiology through DiversityR01MH125938 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Roseann Elizabeth Peterson · 2022 to 2026
$4.2M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Characterizing and targeting subphenotypes of schizophrenia and bipolar disorder via individually imputed tissue and cell-type specific transcriptomesK08MH122911 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VOLOUDAKIS, GEORGIOS · 2020 to 2023
$770k
NCATS NIH HHS UL1 TR001863NIH HHS S10 OD026880NIH HHS S10 OD030463NIMH NIH HHS K08 MH122911NIMH NIH HHS R01 MH125938
6 · The paper itself

Abstract

Importance: Serious mental illnesses, including schizophrenia, bipolar disorder, and depression, are heritable, highly multifactorial disorders and major causes of disability worldwide. Objective: To benchmark the penetrance of current neuropsychiatric polygenic risk scores (PRSs) in the Veterans Health Administration health care system and to explore associations between PRS and broad categories of human disease via phenome-wide association studies. Design, Setting, and Participants: Extensive Veterans Health Administration's electronic health records were assessed from October 1999 to January 2021, and an embedded cohort of 9378 individuals with confirmed diagnoses of schizophrenia or bipolar 1 disorder were found. The performance of schizophrenia, bipolar disorder, and major depression PRSs were compared in participants of African or European ancestry in the Million Veteran Program (approximately 400 000 individuals), and associations between PRSs and 1650 disease categories based on ICD-9/10 billing codes were explored. Last, genomic structural equation modeling was applied to derive novel PRSs indexing common and disorder-specific genetic factors. Analysis took place from January 2021 to January 2022. Main Outcomes and Measures: Diagnoses based on in-person structured clinical interviews were compared with ICD-9/10 billing codes. PRSs were constructed using summary statistics from genome-wide association studies of schizophrenia, bipolar disorder, and major depression. Results: Of 707 299 enrolled study participants, 459 667 were genotyped at the time of writing; 84 806 were of broadly African ancestry (mean [SD] age, 58 [12.1] years) and 314 909 were of broadly European ancestry (mean [SD] age, 66.4 [13.5] years). Among 9378 individuals with confirmed diagnoses of schizophrenia or bipolar 1 disorder, 8962 (95.6%) were correctly identified using ICD-9/10 codes (2 or more). Among those of European ancestry, PRSs were robustly associated with having received a diagnosis of schizophrenia (odds ratio [OR], 1.81 [95% CI, 1.76-1.87]; P < 10-257) or bipolar disorder (OR, 1.42 [95% CI, 1.39-1.44]; P < 10-295). Corresponding effect sizes in participants of African ancestry were considerably smaller for schizophrenia (OR, 1.35 [95% CI, 1.29-1.42]; P < 10-38) and bipolar disorder (OR, 1.16 [95% CI, 1.11-1.12]; P < 10-10). Neuropsychiatric PRSs were associated with increased risk for a range of psychiatric and physical health problems. Conclusions and Relevance: Using diagnoses confirmed by in-person structured clinical interviews and current neuropsychiatric PRSs, the validity of an electronic health records-based phenotyping approach in US veterans was demonstrated, highlighting the potential of PRSs for disentangling biological and mediated pleiotropy.

Identifiers

PMID36103194
PMCPMC9475441
OpenAlexW4295681798

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