Evidence map›Paper›PMID 34326310›Full record

ArticleTranslational psychiatry2021

Identification of pleiotropy at the gene level between psychiatric disorders and related traits.

Tatiana Polushina, Niladri Banerjee, Sudheer Giddaluru, Francesco Bettella, Thomas Espeseth, Astri J Lundervold, Srdjan Djurovic, Sven Cichon, Per Hoffmann, Markus M Nöthen and 3 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Change in brain molecular landscapes following electrical stimulation of the nucleus accumbens.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  4. Review
  5. Neurogenetics and Epigenetics of Loneliness.Psychology research and behavior management · 2023
    Review
  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

13 authors.

Tatiana PolushinaNORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.
Niladri BanerjeeNORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.
Sudheer GiddaluruNORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.
Francesco BettellaNORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0001-7968-8642
Thomas EspesethNORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Astri J LundervoldDepartment of Biological and Medical Psychology, University of Bergen, Bergen, Norway.ORCID 0000-0002-6819-6164
Srdjan DjurovicNORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.ORCID 0000-0002-8140-8061
Sven CichonMedical Genetics, Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.ORCID 0000-0002-9475-086X
Per HoffmannDepartment of Biomedicine, University of Basel, Basel, Switzerland.
Markus M NöthenInstitute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.ORCID 0000-0002-8770-2464
Vidar M SteenNORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.
Ole A AndreassenNORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-4461-3568
Stéphanie Le HellardNORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway. Stephanie.Hellard@uib.no.ORCID 0000-0002-8085-051X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major mental disorders are highly prevalent and make a substantial contribution to the global disease burden. It is known that mental disorders share clinical characteristics, and genome-wide association studies (GWASs) have recently provided evidence for shared genetic factors as well. Genetic overlaps are usually identified at the single-marker level. Here, we aimed to identify genetic overlaps at the gene level between 7 mental disorders (schizophrenia, autism spectrum disorder, major depressive disorder, anorexia nervosa, ADHD, bipolar disorder and anxiety), 8 brain morphometric traits, 2 cognitive traits (educational attainment and general cognitive function) and 9 personality traits (subjective well-being, depressive symptoms, neuroticism, extraversion, openness to experience, agreeableness and conscientiousness, children's aggressive behaviour, loneliness) based on publicly available GWASs. We performed systematic conditional regression analyses to identify independent signals and select loci associated with more than one trait. We identified 48 genes containing independent markers associated with several traits (pleiotropy at the gene level). We also report 9 genes with different markers that show independent associations with single traits (allelic heterogeneity). This study demonstrates that mental disorders and related traits do show pleiotropy at the gene level as well as the single-marker level. The identification of these genes might be important for prioritizing further deep genotyping, functional studies, or drug targeting.

Indexed as

Autism Spectrum DisorderMajor Depressive DisorderAnxiety DisordersChildExtraversion, PsychologicalGenome-Wide Association StudyHumans

Identifiers

PMID34326310
PMCPMC8322263

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.