Christine Ladd‐Acosta

Estimation of Direct and Indirect Polygenic Effects and Gene-Environment Interactions using Polygenic Scores in Case-Parent Trio Studies

This paper introduces PGS-TRI, a framework to estimate direct and indirect polygenic effects and gene-environment interactions in case-parent trio studies, applied to autism and orofacial clefts.

Exploring autism and autism co-occurring condition associations to elucidate multivariate genetic mechanisms and insights

The paper performs a multivariate GWAS on autism and 8 co-occurring conditions, identifying 637 significant genetic associations and novel genes linked to autism and related traits.

Benchmarking statistical methods for analyzing parent-child dyads in genetic association studies

This paper benchmarks statistical methods for analyzing parent-child dyads in genetic association studies, finding that some methods better control type I error and power compared to others.

Smoking Interaction with a Polygenic Risk Score for Reduced Lung Function

This study investigates whether smoking modifies the effect of a polygenic risk score on reduced lung function, finding significant gene-by-smoking interactions in FEV1/FVC.

Placenta DNA methylation at ZNF300 is associated with fetal sex and placental morphology

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

A meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood

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.

Peripheral blood DNA methylation and autism spectrum disorder

This paper presents the largest case-control epigenome-wide association study (EWAS) for autism spectrum disorder (ASD) using blood DNA methylation data, finding no significant CpG sites but suggestive associations and concordance with brain samples.

Elevated polygenic burden for autism is associated with differential DNA methylation at birth.

The paper associates elevated polygenic autism risk with differential DNA methylation at birth, using a large cohort of infants and integrating genetic and epigenetic data.

Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder

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.

“Gap hunting” to characterize clustered probe signals in Illumina methylation array data

The paper identifies gap probes in Illumina methylation array data that show clustered methylation distributions, showing they can reflect genetic variation and aid in population stratification adjustment.