Evidence map›Paper›PMID 40341140›Full record

ArticleBJPsych open2025

Contributions of common and rare genetic variation to different measures of mood and anxiety disorder in the UK Biobank.

Ioanna K Katzourou, LINC Consortium, Inês Barroso, Lauren Benger, Andrés Ingason, Daniel Stow, Ruby Tsang, Megan Wood, George Kirov, James Walters and 3 more

Abstract read
In one paragraph

Article in BJPsych open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

Ioanna K KatzourouCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0002-2653-1614
LINC Consortium
Inês BarrosoMedical School, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0001-5800-4520
Lauren BengerCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0003-2633-1708
Andrés IngasonInstitute of Biological Psychiatry, Roskilde, Denmark.ORCID https://orcid.org/0009-0002-6479-4025
Daniel StowWolfson Institute for Population Health, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0002-9534-4521
Ruby TsangBristol Medical School, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-2520-526X
Megan WoodSchool of Psychology, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0003-1882-2355
George KirovCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0002-3427-3950
James WaltersCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0002-6980-4053
Michael J OwenCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0003-4798-0862
Peter HolmansCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0003-0870-9412
Marianne B M van den BreeCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0002-4426-3254

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundMood and anxiety disorders co-occur and share symptoms, treatments and genetic risk, but it is unclear whether combining them into a single phenotype would better capture genetic variation. The contribution of common genetic variation to these disorders has been investigated using a range of measures; however, the differences in their ability to capture variation remain unclear, while the impact of rare variation is mostly unexplored.

aimsWe aimed to explore the contributions of common genetic variation and copy number variations associated with risk of psychiatric morbidity (P-CNVs) to different measures of internalising disorders.

methodWe investigated eight definitions of mood and anxiety disorder, and a combined internalising disorder, derived from self-report questionnaires, diagnostic assessments and electronic healthcare records (EHRs). Association of these definitions with polygenic risk scores (PRSs) of major depressive disorder and anxiety disorder, as well as presence of a P-CNV, was assessed.

resultsThe effect sizes of both PRSs and P-CNVs were similar for mood and anxiety disorder. Compared to mood and anxiety disorder, internalising disorder resulted in higher prediction accuracy for PRSs, and increased significance of associations with P-CNVs for most definitions. Comparison across the eight definitions showed that PRSs had higher prediction accuracy and effect sizes for stricter definitions, whereas P-CNVs were more strongly associated with EHR- and self-report-based definitions.

conclusionsFuture studies may benefit from using a combined internalising disorder phenotype, and may need to consider that different phenotype definitions may be more informative depending on whether common or rare variation is studied.

Indexed as

anxietydepressiongeneticsInternalising disordersUK Biobank

Identifiers

PMID40341140
PMCPMC12089803

What OpenQuestion 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 OpenQuestion graph.