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Dissecting clinical heterogeneity of bipolar disorder using multiple polygenic risk scores

Authors :
Brandon J. Coombes
Joanna M. Biernacka
J. John Mann
Colin L. Colby
Mark A. Frye
Matej Markota
Myrna M. Weissman
Jyotishman Pathak
Susan L. McElroy
Eli A. Stahl
Ardesheer Talati
Source :
Translational Psychiatry, Vol 10, Iss 1, Pp 1-8 (2020), Translational Psychiatry
Publication Year :
2020
Publisher :
Nature Publishing Group, 2020.

Abstract

Bipolar disorder (BD) has high clinical heterogeneity, frequent psychiatric comorbidities, and elevated suicide risk. To determine genetic differences between common clinical sub-phenotypes of BD, we performed a systematic polygenic risk score (PRS) analysis using multiple PRSs from a range of psychiatric, personality, and lifestyle traits to dissect differences in BD sub-phenotypes in two BD cohorts: the Mayo Clinic BD Biobank (N = 968) and Genetic Association Information Network (N = 1001). Participants were assessed for history of psychosis, early-onset BD, rapid cycling (defined as four or more episodes in a year), and suicide attempts using questionnaires and the Structured Clinical Interview for DSM-IV. In a combined sample of 1969 bipolar cases (45.5% male), those with psychosis had higher PRS for SCZ (OR = 1.3 per S.D.; p = 3e-5) but lower PRSs for anhedonia (OR = 0.87; p = 0.003) and BMI (OR = 0.87; p = 0.003). Rapid cycling cases had higher PRS for ADHD (OR = 1.23; p = 7e-5) and MDD (OR = 1.23; p = 4e-5) and lower BD PRS (OR = 0.8; p = 0.004). Cases with a suicide attempt had higher PRS for MDD (OR = 1.26; p = 1e-6) and anhedonia (OR = 1.22; p = 2e-5) as well as lower PRS for educational attainment (OR = 0.87; p = 0.003). The observed novel PRS associations with sub-phenotypes align with clinical observations such as rapid cycling BD patients having a greater lifetime prevalence of ADHD. Our findings confirm that genetic heterogeneity contributes to clinical heterogeneity of BD and consideration of genetic contribution to psychopathologic components of psychiatric disorders may improve genetic prediction of complex psychiatric disorders.

Details

Language :
English
ISSN :
21583188
Volume :
10
Issue :
1
Database :
OpenAIRE
Journal :
Translational Psychiatry
Accession number :
edsair.doi.dedup.....49660f70cd306e08422be863410a25c2
Full Text :
https://doi.org/10.1038/s41398-020-00996-y