Evidence map›Paper›PMID 35338122›Full record

ArticleTranslational psychiatry2022

Characterizing mood disorders in the AFFECT study: a large, longitudinal, and phenotypically rich genetic cohort in the US.

Maria Dalby, Morana Vitezic, Niels Plath, Lene Hammer-Helmich, Yunxuan Jiang, Chao Tian, Devika Dhamija, Catherine H Wilson, David Hinds, 23andMe Research Team and 3 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
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  5. Article
  6. Assessing the validity of a self-reported clinical diagnosis of schizophrenia.medRxiv : the preprint server for health sciences · 2023
    Article
  7. 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

13 authors at 5 institutions in 3 countries.

Maria DalbyH. Lundbeck A/S, Valby, Denmark. mdalbydk@gmail.com.ORCID http://orcid.org/0000-0001-6018-3468
Morana VitezicH. Lundbeck A/S, Valby, Denmark.
Niels PlathH. Lundbeck A/S, Valby, Denmark.
Lene Hammer-HelmichH. Lundbeck A/S, Valby, Denmark.
Yunxuan Jiang23andMe Inc, Sunnyvale, CA, USA.
Chao Tian23andMe Inc, Sunnyvale, CA, USA.
Devika Dhamija23andMe Inc, Sunnyvale, CA, USA.
Catherine H Wilson23andMe Inc, Sunnyvale, CA, USA.
David Hinds23andMe Inc, Sunnyvale, CA, USA. dhinds@23andme.com.ORCID http://orcid.org/0000-0002-4911-803X
23andMe Research Team
Patrick F SullivanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutete, Stockholm, Sweden.
Joshua W Buckholtz *Department of Psychology, Harvard University, Cambridge, MA, USA.
Jordan W Smoller *Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
23andMe (United States) · USLundbeck (Denmark) · DKBroad Institute · USHarvard University · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has recently been marked progress in identifying genetic risk factors for major depression (MD) and bipolar disorder (BD); however, few systematic efforts have been made to elucidate heterogeneity that exists within and across these diagnostic taxa. The Affective disorders, Environment, and Cognitive Trait (AFFECT) study presents an opportunity to identify and associate the structure of cognition and symptom-level domains across the mood disorder spectrum in a prospective study from a diverse US population.Participants were recruited from the 23andMe, Inc research participant database and through social media; self-reported diagnosis of MD or BD by a medical professional and medication status data were used to enrich for mood-disorder cases. Remote assessments were used to acquire an extensive range of phenotypes, including mood state, transdiagnostic symptom severity, task-based measures of cognition, environmental exposures, personality traits. In this paper we describe the study design, and the demographic and clinical characteristics of the cohort. In addition we report genetic ancestry, SNP heritability, and genetic correlations with other large cohorts of mood disorders.A total of 48,467 participants were enrolled: 14,768 with MD, 9864 with BD, and 23,835 controls. Upon enrollment, 47% of participants with MD and 27% with BD indicated being in an active mood episode. Cases reported early ages of onset (mean = 13.2 and 14.3 years for MD and BD, respectively), and high levels of recurrence (78.6% and 84.9% with >5 episodes), psychotherapy, and psychotropic medication use. SNP heritability on the liability scale for the ascertained MD participants (0.19-0.21) was consistent with the high level of disease severity in this cohort, while BD heritability estimates (0.16-0.22) were comparable to reports in other large scale genomic studies of mood disorders. Genetic correlations between the AFFECT cohort and other large-scale cohorts were high for MD but not for BD. By incorporating transdiagnostic symptom assessments, repeated measures, and genomic data, the AFFECT study represents a unique resource for dissecting the structure of mood disorders across multiple levels of analysis. In addition, the fully remote nature of the study provides valuable insights for future virtual and decentralized clinical trials within mood disorders.

Indexed as

Bipolar DisorderMajor Depressive DisorderAffectHumansMood DisordersProspective Studies

Identifiers

PMID35338122
PMCPMC8956583
OpenAlexW4221104360

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.