ArticleSchizophrenia (Heidelberg, Germany)2022
Examining the source of increased bipolar disorder and major depressive disorder common risk variation burden in multiplex schizophrenia families.
Article in Schizophrenia (Heidelberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Genetic association stratified by HLA-DR3 and HLA-DR4 status reveals heterogeneity in pathways of progression to type 1 diabetes.Diabetologia · 2026Article
- Biochemical and brain heterogeneity characterizes psychiatric and non-psychiatric illness.Nature communications · 2026Article
- Differential diagnosis of bipolar II disorder and major depressive disorder: Integrating multimodal approaches to overcome clinical challenges.World journal of psychiatry · 2026Review
- Transmit Radiant Individuality to Offspring (TRIO) study: investigating intergenerational transmission effects on brain development.Frontiers in psychiatry · 2023Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Psychotic and affective disorders often aggregate in the relatives of probands with schizophrenia, and genetic studies show substantial genetic correlation among schizophrenia, bipolar disorder, and major depressive disorder. In this study, we examined the polygenic risk burden of bipolar disorder and major depressive disorder in 257 multiplex schizophrenia families (N = 1005) from the Irish Study of High-Density Multiplex Schizophrenia Families versus 2205 ancestry-matched controls. Our results indicate that members of multiplex schizophrenia families have an increased polygenic risk for bipolar disorder and major depressive disorder compared to population controls. However, this observation is largely attributable to the part of the genetic risk that bipolar disorder or major depressive disorder share with schizophrenia due to genetic correlation, rather than the affective portion of the genetic risk unique to them. These findings suggest that a complete interpretation of cross-disorder polygenic risks in multiplex families requires an assessment of the relative contribution of shared versus unique genetic factors to account for genetic correlations across psychiatric disorders.
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