Transcriptomics

Dataset Information

Placental transcriptome and autism


ABSTRACT: Here, using a nested case-cohort design within an Australian population-derived prebirth cohort study (n=1074), we assessed the differential expression of genes and pathways in the placenta, comparing 43 children with a paediatrician-confirmed diagnosis of autism using DSM-5 criteria with a random sample of 120 participants without autism. We identified 1,644 differentially expressed genes (DEGs; FDR<0.05) in the placenta of children with autism compared to the control sub-cohort. The top enriched pathways related to mitochondrial function, oxidative stress and ribosomal pathways. CYP1A1, the most important xenobiotic-metabolising enzyme of the placenta, was the top downregulated DEG in the placenta of children with autism, while immuno-regulatory human leukocyte antigen (HLA)-related genes were among the top upregulated DEGs. We also used sparse partial least squares discriminant analysis to predict autism from the transcriptomic data. This approach resulted in a median sensitivity of 0.57 and median specificity of 0.92 for predicting subsequent autism diagnosis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE279194 | GEO | 2026/08/31

REPOSITORIES: GEO

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