Wendy H. Raskind

This study analyzes non-coding variants in five dyslexia candidate genes using targeted sequencing in large families, finding significant associations with reading and spelling traits but no large-effect coding variants.

This study analyzes exome and metabolome data from individuals with dyslexia to identify associated dysregulations in olfactory perception and immune functions.

The paper uses full-length isoform sequencing to identify a splicing defect in MFN2 causing CMT2A in a patient with undiagnosed neuropathy.

This study uses data fusion and machine learning to analyze multi-omics and clinical data, finding that ensemble methods outperform traditional techniques in identifying developmental dyslexia with high accuracy.

This study investigates how the TREM2 R47H variant affects immune responses in Alzheimer's disease by comparing gene expression in different patient groups.