Disentangling the Genetic Landscape of Peripartum Depression: A Multi-Polygenic Machine Learning Approach on an Italian Sample
These results confirm previous literature about the immune system dysregulation in postpartum mood disorders, and shed light on which genetic factors are involved in the pathophysiology of PPD.
Authors
- Lidia Fortaner-Uyà (ORCID: https://orcid.org/0000-0003-2004-5567)
- Elena Agnoletto
- Raffaella Zanardi (ORCID: https://orcid.org/0000-0001-5941-5663)
- Cristina Lorenzi (ORCID: https://orcid.org/0000-0002-3324-1359)
- Cristina Colombo (ORCID: https://orcid.org/0000-0001-7310-7341)
- Francesco Benedetti (ORCID: https://orcid.org/0000-0003-4949-856X)
- Elisa Melloni (ORCID: https://orcid.org/0000-0002-6742-8373)
- Y. Harrington (ORCID: https://orcid.org/0009-0003-2122-1304)
- Sara Spadini (ORCID: https://orcid.org/0000-0002-7059-8242)
- Sara Poletti (ORCID: https://orcid.org/0000-0001-9594-0246)
- Marco Paolini (ORCID: https://orcid.org/0000-0001-5731-5925)
Institutions
- Vita-Salute San Raffaele University (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
Publication Details
- Journal
- Genes
- Published
- 2024-11-26
- DOI
- https://doi.org/10.3390/genes15121517
- Citations
- 6
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 3.26
Funders
- Ministero della Salute