Office of Research & Development
Office of Research & Development
Health science specialist Yasamin Azadzoi removes Million Veteran Program samples from a cryotank at the Boston MVP facility. (Photo by Frank Curran).
May 27, 2021
By Tristan Horrom
VA Research Communications
"This study uncovered more of the genetic architecture of depression than was previously known."
In the largest genetic analysis of depression to date, VA researchers identified many new gene variants that increase the risk for depression. The groundbreaking study helps researchers better understand the biological basis of depression and could lead to better drug treatments.
The study involved genetic data on more than 300,000 participants of VA’s Million Veteran Program (MVP), along with more than a million subjects from other biobanks, including 23andMe. With such a large participant pool, the researchers were able to spot trends in genetic risk of depression not previously known.
VA study reveals dementia risks unique to people with African ancestry
Head trauma, PTSD may increase genetic variant's impact on Alzheimer's risk
Genes involved in heart disease are similar across all populations, VA study finds
Genetic testing may benefit patients with depression
Co-primary investigator Dr. Joel Gelernter, a researcher with the VA Connecticut Healthcare System and Yale University School of Medicine, explained the significance of the findings. “This study uncovered more of the genetic architecture of depression than was previously known,” he said. “This implicates new regions of the genome for more targeted investigation and allows us to use this information to identify drugs that are currently approved for other indications and might be repurposed for treatment of depression.”
The findings appear in the May 27, 2021, issue of the journal Nature Neuroscience.
Major depressive disorder is the most common psychiatric disorder. About 20% of the U.S. population experiences depression. Over 300 million people worldwide, 4% of the global population, have depression. For U.S. Veterans, that rate is 11%.
Previous research has shown that genetics play a large role in depression risk. To gain more insight into exactly what genes are involved, VA researchers and colleagues assembled a large dataset to perform a genome-wide association study (GWAS). A GWAS compares the genomic codes of many people to see what gene variants people with a particular condition tend to have in common. This project was the first genomic study of depression to include more than a million participants.
The researchers first analyzed the genomes of over 250,000 MVP participants of European ancestry. They then combined the findings with previous analyses from several other genetic repositories—the UK Biobank, FinnGen, and 23andMe. The other biobanks added more subjects, for a total of more than 1.2 million participants, to the primary study.
The analysis revealed 178 loci—specific parts of the genome—that are involved in a person’s risk for depression. The finding includes 77 loci not detected in previous research.
The analysis also identified 223 single -nucleotide polymorphisms (SNPs) at these 178 locations that appear to affect a person’s depression risk. An SNP is a specific variation of a single DNA building block.
The researchers also examined the genomes of nearly 60,000 Veterans of African ancestry in the MVP database. They found that 125 of the SNPs identified in the European ancestry group (61%) directly affected the African ancestry participants’ risk for depression.
The team validated the results by checking them against 1.3 million additional samples from 23andMe, a private genetic testing company. This check confirmed the findings of the initial analysis. By combining such large databases, the researchers were able to draw broader and more accurate conclusions. “One of the underappreciated elements of GWAS is how reproducible the findings are,” explained co-lead author Dr. Daniel Levey of the VA Connecticut Healthcare System and Yale University School of Medicine. “Now that we’ve achieved adequate power, we are finding great consistency in findings from different groups study. We hope this consistency provides a stable foundation for new discoveries that can improve treatments.”
Further analysis revealed genetic overlap between depression and several other psychiatric conditions, which has been suggested by other studies. Depression shares genetic risk factors with anxiety disorders and PTSD, as well as with risky behavior and cannabis use disorder, the study found.
The findings could be used to identify new drug therapies for treating depression, according to the researchers. By identifying what genes are involved in depression, researchers may be able to repurpose existing drugs that are known to act on these genes. For example, riluzole, a drug used to treat amyotrophic lateral sclerosis (ALS), could be of interest for depression. It works on one of the genes identified by the MVP study.
Gelernter explained how MVP makes groundbreaking studies such as this possible. “This study, like many before it, highlights the value of the MVP sample in identifying genes for common genetic traits, especially those that are important in the veteran population. Another unique value of the MVP is that it allows us to study populations other than Europeans. We didn’t find nearly as much in African-ancestry subjects as in European-ancestry, but we made a good start, and our results will be of great value in future meta-analysis efforts,” he said. “This is a critical advantage of the MVP.”
Together, the results greatly add to the understanding of how depression operates and who is most at risk. As the researchers explain, “This study sheds light into the genetic architecture of depression and provides new insight into the interrelatedness of complex psychiatric traits.”
The Million Veteran Program is VA’s national research program aimed at learning how genes, lifestyle, and military exposures affect health and illness. As of May 2021, nearly 840,000 Veterans have volunteered for MVP.
VA Research Currents archives || Sign up for VA Research updates