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DEPRESSION AND BIPOLAR DISORDER SUBTYPES DIFFER IN THEIR GENETIC CORRELATIONS

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Health

A year ago



Major depression (MD) and bipolar disorder (BIP) are mental health disorders that can significantly impact the lives of those affected and their loved ones. MD is characterized by depressive episodes, while BIP is characterized by manic or hypomanic episodes, often alternating with depressive episodes. Both types of mood disorders are associated with changes in physical activity, circadian rhythm, and sleep patterns, which are collectively referred to as "biological rhythms."


Studies have shown that individuals with MD or BIP have lower levels of physical activity compared to healthy controls. However, there are differences in the types of activity that are affected. MD is associated with more sedentary behavior, while BIP-I is associated with increased activity levels during manic episodes. Individuals with BIP and MD also exhibit disrupted circadian rhythms, as evidenced by lower relative amplitude values. Sleep patterns are also altered in individuals with mood disorders, with changes in sleep duration, regularity, and daytime sleepiness.

Genetic factors play a role in the development of mood disorders and biological rhythms. A recent study used data from genome-wide association studies to investigate the genetic correlation between mood disorders and biological rhythms. The study found both genetic commonalities and differences across mood disorders in their relationships with biological rhythms. Depression and BIP-I differed the most, while BIP-II was in an intermediate position. The study also identified potential genetic targets for further investigation.

The results of this study suggest that there are shared genetic factors that underlie the observed associations between mood disorders and biological rhythms. Further research is needed to better understand these shared mechanisms and develop more effective treatments for individuals with mood disorders. By considering possible joint mechanisms, we may be able to improve our ability to detect and treat mood disorders more effectively. This has important implications for public health, as mood disorders are a significant burden on individuals, families, and society as a whole.

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