Irva Hertz‐Picciotto

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 identifies DNA methylation at ZNF300 associated with fetal sex and placental morphology using whole genome bisulfite sequencing and multiple datasets.

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.

The paper uses low-pass whole genome bisulfite sequencing on neonatal dried blood spots to identify DNA methylation differences in Down syndrome, highlighting RUNX1 hypermethylation and its association with congenital heart disease.

The paper identifies two methylation-based episignatures in ADNP syndrome but finds limited correlation with clinical phenotypes.

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 study identifies 99 genes associated with autism spectrum disorder through large-scale exome sequencing, showing differences in mutation frequencies between ASD and severe neurodevelopmental delay groups.

This study identifies sex-dependent and -independent biomarkers in ASD using post-mortem brain RNA-Seq and blood microarray data, highlighting sex-specific gene expression differences and pathway dysregulation.

The paper integrates genetic and epigenetic data to identify ASD-associated SNPs enriched in tissue-specific meQTLs and reveals immune-related pathways and psychiatric condition links.