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Baker, B. H.

Publications and source records attributed to Baker, B. H..

2 recordsLinked to original sources

RNAseqCovarImpute: a multiple imputation procedure that outperforms complete case and single imputation differential expression analysis

Missing covariate data is a common problem that has not been addressed in observational studies of gene expression. Here we present a multiple imputation (MI) method that accommodates high dimensional transcriptomic data by binning genes, creating separate MI datasets and differential expression models within each bin, and pooling results with Rubins rules. Simulation studies using real and synthetic data show that this method outperforms complete case and single imputation analyses at uncovering true positive differentially expressed genes, limiting false discovery rates, and minimizing bias. This method is easily implemented via an R package, "RNAseqCovarImpute" that integrates with the limma-voom pipeline.

bioinformatics↗

Environmental carcinogens disproportionally mutate genes implicated in neurodevelopmental disorders

De novo mutations contribute to a large proportion of sporadic psychiatric and developmental disorders, yet the potential role of environmental carcinogens as drivers of causal de novo mutations in neurodevelopmental disorders is poorly studied. We demonstrate that several mutagens, including polycyclic aromatic hydrocarbons (PAHs), disproportionately mutate genes related to neurodevelopmental disorders including autism spectrum disorders (ASD), schizophrenia, and attention deficit hyperactivity disorder (ADHD). Other disease genes including amyotrophic lateral sclerosis (ALS), Alzheimers disease, congenital heart disease, orofacial clefts, and coronary artery disease were generally not mutated more than expected. Our findings support a new paradigm of neurodevelopmental disease etiology driven by a contribution of environmentally induced rather than random mutations.

bioinformatics↗