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Disentangling the Genetic Landscape of Peripartum Depression: A Multi-Polygenic Machine Learning Approach on an Italian Sample.

Genes - 26 Nov 2024

Harrington Yasmin A, Fortaner-Uyà Lidia, Paolini Marco, Poletti Sara, Lorenzi Cristina, Spadini Sara, Melloni Elisa M T, Agnoletto Elena, Zanardi Raffaella, Colombo Cristina, Benedetti Francesco

Abstract excerpt

BACKGROUND: The genetic determinants of peripartum depression (PPD) are not fully understood. Using a multi-polygenic score approach, we characterized the relationship between genome-wide information and the history of PPD in patients with mood disorders, with the hypothesis that multiple polygenic risk scores (PRSs) could potentially influence the development of PPD. METHODS: We calculated 341 PRSs for 178...

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PMID: 39766785
DOI: 10.3390/genes15121517

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