We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




Genome-wide Association Study Identifies New Bipolar Disorder Loci

By LabMedica International staff writers
Posted on 13 May 2019
Print article
Image: Brain imaging studies have revealed differences in the volume of various brain regions between patients with bipolar disorder and healthy control subjects (Photo courtesy of Wikimedia Commons).
Image: Brain imaging studies have revealed differences in the volume of various brain regions between patients with bipolar disorder and healthy control subjects (Photo courtesy of Wikimedia Commons).
Results obtained by a large genome-wide association study performed on individuals with bipolar disorder identified 20 new genetic associations involving genes encoding ion channels, neurotransmitter transporters, and synaptic components.

Bipolar disorder, previously known as manic depression, is a mental disorder affecting approximately 60 million people worldwide that causes periods of depression and periods of abnormally elevated mood. The risk of suicide among those with the illness is high at greater than 6% over 20 years, while self-harm occurs in 30-40%. The causes of the disorder are not clearly understood, but both environmental and genetic factors play a role. Many genes of small effect contribute to risk. Environmental risk factors include a history of childhood abuse and long-term stress.

The condition is classified as bipolar I disorder if there has been at least one manic episode, with or without depressive episodes, and as bipolar II disorder if there has been at least one hypomanic episode (but no manic episodes) and one major depressive episode. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder.

To identify genes associated with bipolar disorder, investigators at the Mount Sinai School of Medicine (New York, NY, USA) and at more than 200 collaborating institutions performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 gene loci in an additional 9,412 cases and 137,760 controls.

Analysis of the results revealed 30 loci that were significant genome-wide, including 20 newly identified loci. The significant loci contained genes encoding ion channels, neurotransmitter transporters, and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including those regulating of insulin secretion and endocannabinoid signaling. Eight of the genes linked to bipolar disorder harbored schizophrenia associations as well.

"The crux of this international collaborative study was, in essence, to connect the dots," said first author Dr. Eli Stahl, assistant professor of genetics and psychiatry at Mount Sinai School of Medicine. "By discovering new genes associated with bipolar disorder and demonstrating their overlap with genes found in other psychiatric disorders, we bring ourselves closer to finding the true genetic underpinnings of the disease and improving patient outcomes."

The bipolar disorder GWAS paper was published in the May 1, 2019, online edition of the journal of Nature Genetics.

Related Links:
Mount Sinai School of Medicine

Gold Member
Blood Gas Analyzer
GEM Premier 7000 with iQM3
New
Gold Member
Pharmacogenetics Panel
VeriDose Core Panel v2.0
New
Vaginal pH Screening Kit
Vaginal pH Screening Kit
New
RNA/DNA Extraction Instrument
QIAcube Connect Instrument

Print article

Channels

Microbiology

view channel
Image

POC PCR Test Rapidly Detects Bacterial Meningitis Directly at Point of Sample Collection

Meningitis is an inflammation of the membranes surrounding the brain and spinal cord. Pathogens typically enter the body through the respiratory tract and spread via the bloodstream. The infection can... Read more

Pathology

view channel
Image: The unique AI tool predicts cancer prognoses and responses to treatment (Photo courtesy of Shutterstock)

AI Tool Combines Data from Medical Images with Text to Predict Cancer Prognoses

The integration of visual data (such as microscopic and X-ray images, CT and MRI scans) with textual information (like exam notes and communications between doctors of different specialties) is a crucial... Read more

Technology

view channel
Image: Human tear film protein sampling methods (Photo courtesy of Clinical Proteomics. 2024 Mar 13;21:23. doi: 10.1186/s12014-024-09475-8)

New Lens Method Analyzes Tears for Early Disease Detection

Bodily fluids, including tears and saliva, carry proteins that are released from different parts of the body. The presence of specific proteins in these biofluids can be a sign of health issues.... Read more

Industry

view channel
Image: The investment is in line with Danaher’s aim to accelerate the transition to precision medicine with AI-enabled diagnostics

Danaher Partners with Healthcare AI Company Innovaccer on Novel Digital and Diagnostic Solutions

Danaher Diagnostics LLC and Danaher Ventures LLC, two subsidiaries of Danaher Corporation (Washington, DC, USA), has formed an investment partnership with healthcare artificial intelligence (AI) company... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.