Evidence map›Paper›PMID 31559010›Full record

ReviewF1000Research2019

Shared Genetics of Psychiatric Disorders.

Tova Fuller, Victor Reus

Open access · goldAbstract readReview
In one paragraph

Review in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Tova FullerDeptartment of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco School of Medicine, San Francisco, CA, USA.
Victor ReusDeptartment of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco School of Medicine, San Francisco, CA, USA.ORCID 0000-0002-8193-5697
University of California, San Francisco · US

Funding

Genetics of Severe Mental IllnessR01MH113078 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, FREIMER, NELSON B. · 2017 to 2021
$5.8M
TRAINING THE NEXT GENERATION OF MENTAL HEALTH RESEARCHERSR25MH060482 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DANIEL H MATHALON, Susan M. Voglmaier · 2000 to 2026
$5.2M
NIMH NIH HHS R01 MH113078NIMH NIH HHS R25 MH060482
6 · The paper itself

Abstract

Until recently, advances in understanding the genetic architecture of psychiatric disorders have been impeded by a historic, and often mandated, commitment to the use of traditional, and unvalidated, categorical diagnoses in isolation as the relevant phenotype. Such studies typically required lengthy structured interviews to delineate differences in the character and duration of behavioral symptomatology amongst disorders that were thought to be etiologic, and they were often underpowered as a result. Increasing acceptance of the fact that co-morbidity in psychiatric disorders is the rule rather than the exception has led to alternative designs in which shared dimensional symptomatology is analyzed as a quantitative trait and to association analyses in which combined polygenic risk scores are computationally compared across multiple traditional categorical diagnoses to identify both distinct and unique genetic and environmental elements. Increasing evidence that most mental disorders share many common genetic risk variants and environmental risk modifiers suggests that the broad spectrum of psychiatric pathology represents the pleiotropic display of a more limited series of pathologic events in neuronal development than was originally believed, regulated by many common risk variants and a smaller number of rare ones.

Indexed as

ComorbidityGenetic PleiotropyHumansMental DisordersPhenotypeRisk Factorsgeneticsgenomicspolygenicpsychiatryrisktransdiagnostic

Identifiers

PMID31559010
PMCPMC6743250
OpenAlexW2972985971

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.