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Bu sayfa, 26. Dünya Psikiyatri Kongresi'nde sunulan çalışmanın yapay zekâ desteğiyle hazırlanmış Türkçe özetidir. Çalışmanın sahibi sunan yazarlardır; atıf için orijinal kaynağa başvurun.

SO099

Polygenic scores for placental efficiency in psychosis spectrum disorders

PLACENTAL EFFICIENCY POLYGENIC SCORES IN PSYCHOSIS SPECTRUM DISORDERS

Polygenic scores for placental efficiency were not independently associated with case–control status; a significant interaction was found only between the third principal component and sex (OR = 0.7, p < 0.05).

Severe mental disorders such as schizophrenia and bipolar disorder are understood within a neurodevelopmental framework in which early biological processes shape later susceptibility. Placental efficiency (PLE), measured as the ratio of birth weight to placental weight (BW:PW), is a genetically distinct trait that reflects the placenta’s capacity to support fetal development and is linked to pathways that overlap with those implicated in psychiatric disorders; whether genetic predisposition to PLE differs between individuals with psychosis spectrum disorders and healthy controls remains unknown. Based on the researchers’ previous BW:PW GWAS in 63,894 term infants from the MoBa cohort, PLE polygenic scores (ePGS) were calculated using PRSice-2 and applied to 1,317 participants from the TOP study (753 healthy controls, 290 with bipolar disorder, and 274 with schizophrenia); principal component analysis (PCA) was applied to the polygenic risk score profiles. None of the principal components derived from ePGS showed an independent association with case–control status. However, a significant interaction was found between ePGS-PC3 and sex (OR = 0.7, p < 0.05), suggesting that genetic effects related to PLE may be protective against psychosis risk in women. According to the authors, the relationship between PLE genetics and psychosis may operate in a context-dependent manner rather than solely through main genetic effects, and may influence susceptibility in a sex-dependent way. PCA applied to polygenic scores is presented as a useful framework for capturing subtle and moderating genetic effects.

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