A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles.
Genetics
Forecasting risk gene discovery in autism with machine learning and genome-scale data.
Autism risk in offspring can be assessed through quantification of male sperm mosaicism.
Natural selection influenced the genetic architecture of brain structure, behavioral and neuropsychiatric traits.
The landscape of somatic mutation in cerebral cortex of autistic and neurotypical individuals revealed by ultra-deep whole-genome sequencing.
Genome-wide molecular effects of the neuropsychiatric 16p11 CNVs in an iPSC-to-iN neuronal model.
The oft-overlooked massively parallel reporter assay: Where, when, and which psychiatric genetic variants are functional?
Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism.
Predictive impact of rare genomic copy number variations in siblings of individuals with autism spectrum disorders.
Deciphering the biological mechanisms underlying the genome-wide associations between computerized device use and psychiatric disorders.
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