Study may help identify new sex-specific treatments for depression

Depression is widely reported to be more common in women than in men, with women twice as likely to receive a diagnosis than men. A new sex-specific study from McGill University has found that there are differences between male and female genes and how they relate to depression. In a study of more than 270,000 individuals, the researchers found that sex-specific prediction methods were more accurate in forecasting an individual's genetic risk of developing depression than prediction methods that did not specify sex.

The researchers found 11 areas of DNA that were linked to depression in females, and only one area in males. They also found that depression was specifically linked to metabolic diseases in females, an important aspect to consider when treating women with depression. Despite the biological processes involved in depression being similar in males and females, researchers found that different genes were involved for each sex. This information can be useful to identify future sex-specific treatments for depression.

This is the first study to describe sex-specific genetic variants associated with depression, which is a very prevalent disease in both males and females. These findings are important to inform the development of specific therapies that will benefit both men and women while accounting for their differences. In the clinic, the presentation of depression is very different for men and women, as well as their response to treatment, but we have very little understanding of why this happens at the moment."

Dr. Patricia Pelufo Silveira, Lead Author and Associate Professor in the Department of Psychiatry

Source:
Journal reference:

Silveira, P.P., et al. (2023) A sex-specific genome-wide association study of depression phenotypes in UK Biobank. Molecular Psychiatry. doi.org/10.1038/s41380-023-01960-0.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Machine Learning Reveals Cancer-Causing DNA Repeats