PGC associated_with depression
Evidence from:
primary |
all sources
Evidence (5 sources)
Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses.
(2023)
PMID:37464041
cited
large GWAS meta-analysis of depression which included ... PGC ... data
confidence: 0.95
Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses.
(2023)
PMID:37464041
cited
combined these with data from previously published samples from the PGC ...
confidence: 0.93
Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions.
(2021)
PMID:34045744
cited
When combined with the prior analysis from PGC ... over 1.2 million participants were available for this study, the largest genetic analysis of depression to date.
confidence: 0.95
Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions.
(2021)
PMID:34045744
cited
Only recently has substantial progress been made in understanding the underlying genetic architecture of depression, led by the Psychiatric Genomics Consortium (PGC) and a large meta-analysis combining results from PGC, UKB, FinnGen and 23andMe.
confidence: 0.96
Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions.
(2021)
PMID:34045744
cited
with a spectrum of depression phenotypes
confidence: 0.90