Genomics, convergent neuroscience and progress in understanding autism spectrum disorder.
Helen Rankin WillseyA Jeremy WillseyBelinda WangMatthew W StatePublished in: Nature reviews. Neuroscience (2022)
More than a hundred genes have been identified that, when disrupted, impart large risk for autism spectrum disorder (ASD). Current knowledge about the encoded proteins - although incomplete - points to a very wide range of developmentally dynamic and diverse biological processes. Moreover, the core symptoms of ASD involve distinctly human characteristics, presenting challenges to interpreting evolutionarily distant model systems. Indeed, despite a decade of striking progress in gene discovery, an actionable understanding of pathobiology remains elusive. Increasingly, convergent neuroscience approaches have been recognized as an important complement to traditional uses of genetics to illuminate the biology of human disorders. These methods seek to identify intersection among molecular-level, cellular-level and circuit-level functions across multiple risk genes and have highlighted developing excitatory neurons in the human mid-gestational prefrontal cortex as an important pathobiological nexus in ASD. In addition, neurogenesis, chromatin modification and synaptic function have emerged as key potential mediators of genetic vulnerability. The continued expansion of foundational 'omics' data sets, the application of higher-throughput model systems and incorporating developmental trajectories and sex differences into future analyses will refine and extend these results. Ultimately, a systems-level understanding of ASD genetic risk holds promise for clarifying pathobiology and advancing therapeutics.
Keyphrases
- autism spectrum disorder
- genome wide
- endothelial cells
- attention deficit hyperactivity disorder
- intellectual disability
- prefrontal cortex
- induced pluripotent stem cells
- pluripotent stem cells
- small molecule
- gene expression
- genome wide identification
- single cell
- healthcare
- copy number
- climate change
- big data
- dna damage
- oxidative stress
- high throughput
- risk assessment
- blood brain barrier
- case report