ArticleTranslational psychiatry2022
Characterizing mood disorders in the AFFECT study: a large, longitudinal, and phenotypically rich genetic cohort in the US.
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.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Polygenic heterogeneity in antidepressant treatment and placebo response.Translational psychiatry · 2022Trial
- Molecular genetic influences on sustained attention and executive processes and their links with psychopathology in the AFFECT study.Molecular psychiatry · 2026Article
- Digital tools for assessing bipolar disorder: A scoping review of the current landscape.Neuroscience applied · 2026Article
- Assessing the validity of a self-reported clinical diagnosis of schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- Olfactory genes affect major depression in highly educated, emotionally stable, lean women: a bridge between animal models and precision medicine.Translational psychiatry · 2024Article
- Assessing the validity of a self-reported clinical diagnosis of schizophrenia.medRxiv : the preprint server for health sciences · 2023Article
- Further validation of the THINC-it tool and extension of the normative data set in a study of n = 10.019 typical controls.International journal of methods in psychiatric research · 2022Article
- Transcriptional profiles in the mouse amygdala after a cognitive judgment bias test largely depend on the genotype.Frontiers in molecular neuroscience · 2022Article
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Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
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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.
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