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Updated: May 26, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Genome-wide association study in bipolar patients stratified by co-morbidity
Berit Kerner1, Christophe G Lambert, Bengt O Muthén
1Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America. bkerner@mednet.ucla.edu
Genetic analysis reveals rare variants associated with specific bipolar disorder subgroups. Identifying these genetic risk alleles may improve understanding of this complex psychiatric disorder.
Area of Science:
- Psychiatric Genetics
- Neuroscience
- Genomics
Background:
- Bipolar disorder is a highly heritable psychiatric condition.
- Common comorbidities may indicate distinct patient subgroups with shared genetic risk factors.
Purpose of the Study:
- To investigate the association between single nucleotide polymorphisms (SNPs) and patient subgroups defined by comorbidities in bipolar disorder.
- To identify potential genetic risk alleles contributing to specific presentations of bipolar disorder.
Main Methods:
- Analysis of a Caucasian sample from the GAIN bipolar disorder study (1000 cases, 1034 controls).
- Testing for associations between SNPs and patient subgroups characterized by comorbid conditions.
- Utilized a recessive genetic model for association testing.
Main Results:
- A rare variant (rs1039002) near the phosphodiesterase 10A (PDE10A) gene on chromosome 6q27 was significantly associated with bipolar disorder with psychosis and/or substance abuse (p=1.7×10⁻⁸).
- Another rare variant (rs12563333) near the MAP/microtubule affinity-regulating kinase 1 (MARK1) gene on chromosome 1q41 approached genome-wide significance in the same subgroup.
- SNP rs2727943 on chromosome 3p26.3 was associated with bipolar disorder with alcohol dependence and other comorbidities (p=3.3×10⁻⁸).
Conclusions:
- Bipolar disorder heterogeneity, defined by comorbidities, can aid in identifying genetic risk alleles.
- Rare genetic variants may play a role in susceptibility to bipolar disorder.
- Findings highlight specific genes (PDE10A, MARK1, CNTN6 region) potentially involved in bipolar disorder pathophysiology.
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