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Cohort study, 2026

Do premenstrual disorder and postpartum depression share the same genetic causes?

Yes. The conditions share significant genetic overlap with genetic correlation of 0.47 to 0.66. Two genetic locations were identified that affect both disorders, both involving brain response to hormones.

Strong study design 907,841 Swedish women born 1950-2007 with deliveries 2001-2021

What they did

Registry-based and genetic study of 907,841 Swedish women born 1950-2007 who gave birth 2001-2021. Researchers measured heritability and genetic correlation between premenstrual disorder and postpartum depression. They analyzed genetic data from large European studies using multiple genetic analysis methods.

What they found

Premenstrual disorder heritability was 0.35, postpartum depression heritability was 0.31. Genetic correlation between them was 0.47 (registry-based) and 0.66 (genetic analysis), indicating substantial genetic overlap. Two novel genetic locations were identified (PCDH9 and KCTD16) jointly associated with both disorders. KCTD16 involves GABA-mediated inhibitory signaling in the hippocampus.

What it means for you

Premenstrual disorder and postpartum depression are not separate conditions but share underlying genetic causes involving abnormal brain response to hormone fluctuations. This could eventually lead to better treatments targeting shared biological pathways. Limitation: findings are from Swedish population only and need confirmation in other populations.

907,841

Swedish women in registry

0.47-0.66

Genetic correlation between the two disorders

0.35 and 0.31

Heritability of premenstrual disorder and postpartum depression

About the study

Original title
Shared Genetic Architecture of Premenstrual Disorder and Postpartum Depression: Registry-Based and Genetic Evidence
Authors
Qu S, Hu K, Guintivano J et al.
Journal
Research Square
Year
2026
Study design
Cohort study
Participants
907,841
What was tested
Genetic overlap between premenstrual disorder and postpartum depression
Open access
Yes
Original abstract

Abstract Background Premenstrual disorder (PMD) and postpartum depression (PPD) have a strong phenotypic link and echo women’s hormone fluctuations. Yet, the extent to which they may be cross-inherited remains poorly understood. Methods Using the nationwide cohort of 907,841 women who born 1950–2007 and gave birth during 2001–2021 in Sweden, we estimated the cumulative incidence functions-based heritability and genetic correlation for PMD and PPD. We also analyzed genome-wide association study (GWAS) summary statistics from the largest European-ancestry cohorts for PMD (17,511 cases and 54,786 controls) and PPD (16,145 cases and 46,609 controls) using linkage disequilibrium score regression (LDSC). Fixed-effect cross-trait meta-analysis and imputed transcriptome-wide association analyses (TWAS) were conducted to identify shared loci and gene-tissue associations. Results The register-based heritability was 0.35 (95% CI: 0.29–0.41) for PMD and 0.31 (95% CI: 0.23–0.37) for PPD, with a positive genetic correlation between these disorders (r g = 0.47, 95% CI: 0.25–0.69). LDSC also showed a positive genetic correlation between PMD and PPD ( r g = 0.66, SE = 0.10, P = 1.014\(\:\times\:\)10 −10 ), indicating sizable shared heritable influences. Cross-trait meta-analysis identified two novel genome-wide significant loci jointly associated with PMD and PPD, mapping to an intronic region of PCDH9 and the 3’ untranslated region of KCTD16 . The KCTD16 locus implicates GABA B –mediated inhibitory signaling in both disorders. Consistent with this, TWAS revealed a hippocampus regulatory signal for KCTD16 , with no detectable trend effects in other brain regions or peripheral tissues. Beyond the lead loci, TWAS suggested that the shared risk variants may partially act through genetically regulated gene expression across brain, endocrine and immune-related tissues. Conclusions Together, these findings provide the first evidence for sizable genetic overlap between PMD and PPD and highlight novel and convergent biological mechanisms underlying the abnormal brain response of some women to gonadal hormone fluctuations.

Reproduced under CC-BY.

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