- Clinically harmonised BIONIC sample shows substantial common-variant heritability: LDSC 12.0% and LDAK-REML 26.6%, indicating strong polygenic signal.
- High genetic correlation with PGC-MD (rG = 0.89) and reciprocal PGS transferability; within-family analyses indicate prediction largely not due to family-level confounding.
- One genome-wide significant locus (rs3818852, PALMD) found but lacks replication; genetic correlations and causal modelling reveal multiple shared or directionally consistent trait associations.
Mol Psychiatry. 2026 Jun 2. doi: 10.1038/s41380-026-03666-5. Online ahead of print.
ABSTRACT
Harmonized phenotyping and diverse population-specific studies are crucial for advancing gene discovery in psychiatric genetics. We conducted a genome-wide association (GWAS) mega-analysis of DSM-defined lifetime major depressive disorder (MDD) in 64 941 participants (25.7% cases) from the Dutch BIObanks Netherlands Internet Collaboration (BIONIC) consortium. Liability-scale SNP-based heritability was 12.0% (SE = 1.4%) as estimated by LDSC (assuming a lifetime prevalence of 15%) and 26.6% (SE = 1.1%) when estimated by LDAK-REML on individual-level genotype data, indicating substantial common-variant signal in this clinically harmonized sample. The genetic correlation with the latest major depression GWAS from the Psychiatric Genomics Consortium (PGC-MD) was high (rG = 0.89, SE = 0.048). Polygenic scores (PGSs) based on BIONIC predicted depression in UK Biobank, and PGSs derived from PGC-MD predicted MDD in BIONIC, supporting transferability of depression polygenic signal across cohorts and phenotype definitions. Within-family PGS analyses in twins suggested that the observed prediction was not primarily driven by detectable family-level confounding, and twin concordance for MDD increased with polygenic burden. We identified one genome-wide significant locus, indexed by rs3818852 in PALMD, but this finding currently lacks independent replication and should be interpreted cautiously. Finally, genetic correlation and latent causal variable analyses identified multiple traits showing shared or directionally consistent genetic associations with MDD. Together, these findings underscore the value of clinically harmonized phenotyping in regional biobank collaborations for studying the genetic architecture of MDD.
PMID:42230966 | DOI:10.1038/s41380-026-03666-5
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