
"A new paper in Nature takes a major step toward answering that question. By analyzing common genetic variation across 14 psychiatric disorders, researchers created one of the most detailed maps yet of what is shared, what is distinct, and where today's categories may be closer cousins than we think."
"The researchers drew on genome-wide association data from 14 disorders, including schizophrenia, bipolar disorder, major depression, posttraumatic stress disorder (PTSD), anxiety disorders, attention-deficit/hyperactivity disorder (ADHD), autism, anorexia nervosa, obsessive-compulsive disorder (OCD), Tourette syndrome, and several substance use conditions. Altogether, the dataset included more than 1,056,000 cases, making it one of the largest cross-disorder genetic efforts ever assembled."
"Five broad genetic factors, together, explained most of the genetic variance across the disorders, around two-thirds on average. These five groupings looked roughly like this: A schizophrenia-bipolar cluster, reflecting how strongly those two conditions share genetic foundations."
A major Nature study analyzed genetic data from over one million cases across 14 psychiatric disorders to understand why certain diagnoses frequently co-occur. Researchers identified five broad genetic factors that explain approximately two-thirds of genetic variance across these conditions. The findings suggest psychiatric disorders cluster into genetic families rather than representing entirely separate biological entities. This challenges traditional diagnostic boundaries, indicating that conditions like schizophrenia and bipolar disorder, or depression and anxiety, share substantial genetic overlap. The research provides evidence that current psychiatric classification systems may reflect human-made labels imposed on a continuous biological landscape rather than distinct disease categories.
#psychiatric-genetics #diagnostic-classification #comorbidity #genetic-overlap #mental-health-disorders
Read at Psychology Today
Unable to calculate read time
Collection
[
|
...
]