Evidence map›Paper›PMID 30339992›Full record

ReviewCurrent opinion in psychology2019

Polygenic risk scoring and prediction of mental health outcomes.

John S Anderson, Jess Shade, Emily DiBlasi, Andrey A Shabalin, Anna R Docherty

Abstract readReview
In one paragraph

Review in Current opinion in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Polygenic Scores for ADHD: A Meta-Analysis.Research on child and adolescent psychopathology · 2021
    Pooled it
  2. Article
  3. Article
  4. Review
  5. The impact of collider bias on genetic prediction in psychotic disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Associations between polygenic liability to psychopathology and non-suicidal versus suicidal self-injury.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Unique and joint associations of polygenic risk for major depression and opioid use disorder with endogenous opioid system function.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
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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.

John S AndersonDepartment of Psychiatry, University of Utah School of Medicine, 201 President's Circle, Salt Lake City, UT 8412, USA.
Jess ShadeDepartment of Psychiatry, University of Utah School of Medicine, 201 President's Circle, Salt Lake City, UT 8412, USA.
Emily DiBlasiDepartment of Psychiatry, University of Utah School of Medicine, 201 President's Circle, Salt Lake City, UT 8412, USA.
Andrey A ShabalinDepartment of Psychiatry, University of Utah School of Medicine, 201 President's Circle, Salt Lake City, UT 8412, USA; Virginia Institute for Psychiatric & Behavioral Genetics, Virginia Commonwealth University School of Medicine, 800 E. Leigh St., Biotech One Suite 100, Richmond, VA 23219, USA.
Anna R DochertyDepartment of Psychiatry, University of Utah School of Medicine, 201 President's Circle, Salt Lake City, UT 8412, USA; Virginia Institute for Psychiatric & Behavioral Genetics, Virginia Commonwealth University School of Medicine, 800 E. Leigh St., Biotech One Suite 100, Richmond, VA 23219, USA. Electronic address: anna.docherty@utah.edu.

Funding

Modeling Dimensionality and Genetic Heterogeneity in SchizophreniaK01MH109765 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI DOCHERTY, ANNA R. · 2016 to 2019
$675k
Integrating Genomic and Environmental Perspectives on Internalizing DisordersK01MH093731 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI ADKINS, DANIEL E · 2011 to 2015
$649k
NIMH NIH HHS K01 MH093731NIMH NIH HHS K01 MH109765
6 · The paper itself

Abstract

Psychiatric conditions are highly polygenic, meaning that genetic risk arises from many hundreds or thousands of genetic variants. Psychiatric genomics and psychological science are increasingly using polygenic risk scoring-the integration of all common genetic variant effects into a single risk metric-to model latent risk and to predict mental health outcomes. This review discusses the use of these scores in psychology and psychiatry to date, important methodological considerations, and potential of scoring methods for informing psychological science. Polygenic risk scores can easily be added to environmental and behavioral genetic models of latent risk, making them desirable metrics for use in psychological research.

Indexed as

Molecular BiologyOutcome Assessment, Health CareHumansMental DisordersModels, StatisticalMultifactorial InheritancePsychiatryRisk Factors

Identifiers

PMID30339992
PMCPMC6426686

What OpenQuestion holds

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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.