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Published on: December 2, 2015
Deriving Mendelian Randomization-based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder.
Shane O'Connell1,2,3, Brielin C Brown4,5, Dara M Cannon6
1Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Pl., New York, NY, 10029, USA.
This study used Mendelian randomization to investigate the causal link between brain structure and bipolar disorder (BD). Findings suggest that variations in white matter tracts may cause bipolar disorder, rather than being a consequence.
Area of Science:
- Neuroscience
- Psychiatry
- Genetics
Background:
- Observational studies suggest neuroanatomical differences in bipolar disorder (BD).
- Causal relationships between brain structure and BD remain unclear.
Purpose of the Study:
- To explore the causal dynamics between neuroimaging phenotypes and bipolar disorder (BD).
- To determine if neuroanatomical variations cause or are a consequence of BD.
Main Methods:
- Mendelian randomization analysis of 297 neuroimaging phenotypes from UK BioBank.
- Genome-wide association study summary statistics for BD.
- Inverse sparse regression to estimate direct effects.
Main Results:
- Identified 28 significant causal relationship pairs between neuroimaging and BD.
- 27 pairs indicated neuroimaging phenotypes influencing BD.
- White matter tract phenotypes showed larger causal effects on BD than vice versa.
Conclusions:
- Neuroanatomical variation, particularly in white matter tracts, is a potential cause of bipolar disorder (BD).
- Findings support the hypothesis that specific white matter variations precede BD onset.
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