Unknown

Dataset Information

Genomic SEM Applied to Explore Etiological Divergences in Bipolar Subtypes.


ABSTRACT:

Background

Bipolar Disorder (BD) is an overarching diagnostic class defined by the presence of at least one prior manic episode (BD I) or both a prior hypomanic episode and a prior depressive episode (BD II). Traditionally, BD II has been conceptualized as a less severe presentation of BD I, however, extant literature to investigate this claim has been mixed.

Methods

We apply Genomic Structural Equation Modeling (Genomic SEM) to investigate divergent genetic pathways across BD's two major subtypes using the most recent GWAS summary statistics from the PGC. We begin by identifying divergences in genetic correlations across 89 external traits using a Bonferroni corrected threshold. We also use a theoretically informed follow-up model to examine the extent to which the genetic

SUBMITTER: Lawrence JM 

PROVIDER: S-EPMC10197718 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature