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Exploring intra-diagnosis heterogeneity and inter-diagnosis commonality in genetic architectures of bipolar disorders: association of polygenic risks of major psychiatric illnesses and lifetime phenotype dimensions.
Baek, Ji Hyun; Lee, Dongbin; Lee, Dongeun; Jeong, Hyewon; Cho, Eun-Young; Ha, Tae Hyon; Ha, Kyooseob; Hong, Kyung Sue.
Afiliação
  • Baek JH; Department of Psychiatry, Sunkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.
  • Lee D; Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, USA.
  • Lee D; Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Korea.
  • Jeong H; Department of Psychiatry, Sunkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.
  • Cho EY; Samsung Biomedical Research Institute, Seoul, Republic of Korea.
  • Ha TH; Samsung Biomedical Research Institute, Seoul, Republic of Korea.
  • Ha K; Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Hong KS; Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Psychol Med ; : 1-7, 2024 May 30.
Article em En | MEDLINE | ID: mdl-38813618
ABSTRACT

BACKGROUND:

Bipolar disorder (BD) shows heterogeneous illness presentation both cross-sectionally and longitudinally. This phenotypic heterogeneity might reflect underlying genetic heterogeneity. At the same time, overlapping characteristics between BD and other psychiatric illnesses are observed at clinical and biomarker levels, which implies a shared biological mechanism between them. Incorporating these two issues in a single study design, this study investigated whether phenotypically heterogeneous subtypes of BD have a distinct polygenic basis shared with other psychiatric illnesses.

METHODS:

Six lifetime phenotype dimensions of BD identified in our previous study were used as target phenotypes. Associations between these phenotype dimensions and polygenic risk scores (PRSs) of major psychiatric illnesses from East Asian (EA) and other available populations were analyzed.

RESULTS:

Each phenotype dimension showed a different association pattern with PRSs of mental illnesses. PRS for EA schizophrenia showed a significant negative association with the cyclicity dimension (p = 0.044) but a significant positive association with the psychotic/irritable mania dimension (p = 0.001). PRS of EA major depressive disorder demonstrated a significant negative association with the elation dimension (p = 0.003) but a significant positive association with the comorbidity dimension (p = 0.028).

CONCLUSION:

This study demonstrates that well-defined phenotype dimensions of lifetime-basis in BD have distinct genetic risks shared with other major mental illnesses. This finding supports genetic heterogeneity in BD and suggests a pleiotropy among BD subtypes and other psychiatric disorders beyond BD. Further genomic analyses adopting deep phenotyping across mental illnesses in ancestrally diverse populations are warranted to clarify intra-diagnosis heterogeneity and inter-diagnoses commonality issues in psychiatry.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article