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Nat Neurosci: GWAS and meta-analysis reveal the genetic structure of depression and new treatment directions

 Last Update: 2021-06-01
 Source: Internet
 Author: User

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Depression is one of the most common neuropsychiatric diseases.

In the United States, health care expenditures for the treatment of depression and anxiety exceeded US$90 billion in 2013.

The study reports a large meta-analysis that integrates the Psychiatric Genomics Consortium (PGC), the British Biobank (UKB), the FinnGen database and the 23andMe database , and has made substantial progress in the study of the underlying genetic structure of depression.

The study reports a large meta-analysis that integrates the Psychiatric Genomics Consortium (PGC), the British Biobank (UKB), FinnGen Database, and the 23andMe Database.

Research flow chart

The researchers analyzed the genome-wide association summary statistics to study the genetic correlation between depression and different phenotypes in other cohorts and look for overlapping related traits.

Genetic correlation analysis

All in all, the results of this study reveal the genetic structure of depression and provide new insights into the interrelationships between complex psychotic traits.

The results of this study reveal the genetic structure of depression and provide new insights into the interrelationships between complex psychotic traits.

org/10.

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