Rebecca J. Schmidt

This study constructs a high-resolution placental mQTL resource and investigates how placental DNA methylation relates to early- and later-life traits and their shared vulnerability.

This study identifies sex-specific DNA methylation signatures of autism spectrum disorder in newborn blood, showing replication and enrichment for ASD-risk genes and neurodevelopmental processes.

This paper identifies 35 genome-wide significant ASD risk genes in admixed Latin American populations, showing consistency with European cohorts and supporting the universality of ASD biology.

The paper investigates sex-specific transcriptional responses to prenatal PCB exposure in mouse brain and placenta, finding female protective effects mediated by metabolic gene networks.

The paper identifies placental DNA methylation modules associated with maternal PCB levels and child neurodevelopmental outcomes in the MARBLES cohort.

This study examines DNA methylation changes in mouse placenta and fetal brain after prenatal PCB exposure, finding shared differentially methylated regions linked to neurodevelopmental disorders.

Comethyl identifies modules of comethylated genomic regions correlated with sample traits, revealing ASD-associated modules in cord blood samples.

The paper examines gene expression and metabolite associations in maternal blood during pregnancy to link prenatal nutrition with neurodevelopmental outcomes in children.

The paper identifies DNA methylation differences in cord blood samples from newborns later diagnosed with ASD, revealing sex-specific epigenomic signatures linked to neurodevelopmental and X-linked genes.

This study identifies ASD-specific transcriptional changes in umbilical cord blood through a meta-analysis of two high-risk cohorts, highlighting environmental, immune, and epigenetic factors.

The paper identifies two placental DNA methylation markers, CYP2E1 and IRS2, associated with ASD risk and modulated by genetic and environmental factors.

This paper pilots the adaptation of the ELEAT tool in Portugal to assess environmental exposures in children with ASD, aiming to identify modifiable risk factors for the disorder.