Evidence map›Paper›PMID 31464996›Full record

ReviewPsychiatric genetics2019

The emerging pattern of shared polygenic architecture of psychiatric disorders, conceptual and methodological challenges.

Olav B Smeland, Oleksandr Frei, Chun-Chieh Fan, Alexey Shadrin, Anders M Dale, Ole A Andreassen

Abstract readReview
In one paragraph

Review in Psychiatric genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023
    Article
  10. The shared genetic basis of mood instability and psychiatric disorders: A cross-trait genome-wide association analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2022
    Article
  11. Article
  12. Article
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  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

6 authors.

Olav B SmelandNORMENT Centre, Institute of Clinical Medicine, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway Center for Human Development, University of California, San Diego Department of Radiology, University of California Department of Neuroscience, University of California, San Diego Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, California, USA.
Oleksandr Frei
Chun-Chieh Fan
Alexey Shadrin
Anders M Dale
Ole A Andreassen

Funding

ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Spatiotemporal Brain Imaging: Microscopic &System LevelR01EB000790 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2002 to 2015
$15.3M
Neuronal, glial and BOLD fMRI signals: From BOLD to 2-photon microscopyR01NS057198 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEVOR, ANNA · 2009 to 2017
$2.6M
NIBIB NIH HHS R01 EB000790NIDA NIH HHS U24 DA041123NINDS NIH HHS R01 NS057198
6 · The paper itself

Abstract

Genome-wide association studies have transformed psychiatric genetics and provided novel insights into the genetic etiology of psychiatric disorders. Two major discoveries have emerged; the disorders are polygenic, with a large number of common variants each with a small effect and many genetic variants influence more than one phenotype, suggesting shared genetic etiology. These concepts have the potential to revolutionize the current classification system with diagnostic categories and facilitate development of better treatments. However, to reach clinical impact, we need larger samples and better analytical tools, as most polygenic factors remain undetected. We here present statistical approaches designed to improve the yield of existing genome-wide association studies for polygenic phenotypes. We review how these tools have informed the current knowledge on the genetic architecture of psychiatric disorders, focusing on schizophrenia, bipolar disorder and major depression, and overlap with psychological and cognitive traits. We discuss application of statistical tools for stratification and prediction.

Indexed as

Bipolar DisorderGenetic PleiotropyGenome-Wide Association StudyHumansMajor Depressive DisorderMultifactorial InheritancePhenotypeSchizophrenia

Identifiers

PMID31464996
PMCPMC10752571

What OpenQuestion holds

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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.