Kelly M. Bakulski

The paper identifies chemicals enriched for dementia-related genes and pathways using the Comparative Toxicogenomics Database, finding many chemicals associated with Alzheimer's disease and tauopathies.

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 shows that perinatal lead exposure increases mouse embryonic weight and alters gene expression in neuronal and sexually dimorphic pathways.

This study examines how environmentally relevant lead exposure affects gene expression in SH-SY5Y cells during neuronal differentiation, finding stage-specific and persistent changes in gene expression and pathway enrichment.

This study examines how different levels of lead exposure affect neural differentiation in SH-SY5Y cells, showing significant changes in protein expression and cell morphology.

The paper develops a DNA methylation reference panel for placental tissues to estimate cell composition from bulk DNAm data, showing improved performance over existing methods.

The paper investigates how placental cell conditioned media affects hematopoietic stem cell transcriptomes and how MEHP modifies these effects.

The paper trains a computational model to deconvolve fifteen leukocyte subtypes from DNA methylation data using flow cytometry data, improving variance explanation and reducing false positives in age studies.

The paper deconvolves placental gene expression data to show cell type proportions drive preeclampsia gene expression differences, reducing differentially expressed genes after adjustment.

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

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 evaluates and validates reference and library selection methods for deconvolving cord blood DNA methylation data, finding that the IDOL library outperforms automatic selection methods.

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.