For millions of people, the journey to find an antidepressant that works is a frustrating trial-and-error process. A new study looked at the genetics of over 135,000 people who were prescribed these medications to understand why some people don't respond. The researchers found two new genetic locations associated with not responding to common antidepressants like SSRIs and SNRIs. They also found that the genetics of non-response were linked to other psychiatric traits and, in a negative way, to cognitive traits and feelings of well-being. The study used this genetic information to suggest some existing drugs that might be worth testing further for people who don't respond to first-line treatments. It's crucial to remember this is a genetic association study—it shows a link, not a cause. The findings are early and need to be confirmed. The drugs they highlighted are just candidates for future research, not proven solutions. This work helps map the complex biology behind treatment resistance, but it doesn't change how doctors prescribe antidepressants today.
Meta-analysis identifies two genomic loci associated with antidepressant non-response in 135,471 individualsWhy do antidepressants fail for some people? New genetic clues emerge
AI-generated summary of the cited source, checked by automated accuracy review. How we work
This genome-wide association meta-analysis examined genetic factors in antidepressant non-response using data from 135,471 individuals prescribed antidepressants, including 25,255 non-responders and 110,216 responders. The study focused on identifying genomic loci associated with non-response to antidepressant treatment, primarily SSRIs and SNRIs, compared to treatment responders.
The analysis identified two novel loci: rs1106260 associated with non-response to SSRIs, and rs60847828 associated with non-response to both SSRIs and SNRIs. The study also found significant polygenic prediction in independent samples and reported genetic correlations, with positive associations between non-response and most psychiatric traits, and negative associations with cognitive traits and subjective well-being. Exact effect sizes, p-values, and confidence intervals for these findings were not reported.
Safety and tolerability data were not reported in this genetic analysis. The authors note this is an association study that does not establish causation, and all findings require replication and validation. The practice relevance is limited to suggesting that meta-analyses using real-world measures can improve discovery of variants associated with non-response, and that shortlisted drugs based on bioinformatics analyses warrant further investigation for potential to reduce depressive symptoms in non-responders.