EPISODE · Sep 24, 2020 · 9 MIN
Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders
from Springer Nature · host Springer Nature
The application of the study of genetics and the use of big data to identify patterns of inheritance as well as de novo mutations has had a dramatic impact on the field of Autism Spectrum Disorder research, and it offers pathways to a greater understanding of biological mechanisms, even potentially treatments. Matthew State, chair of the department of psychiatry at University of California San Francisco, and his colleagues wrote a review paper in the journal Neuropsychopharmacology, called “Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders.” Have a listen to learn more! Related Article - https://www.nature.com/articles/s41386-020-0768-y
What this episode covers
The application of the study of genetics and the use of big data to identify patterns of inheritance as well as de novo mutations has had a dramatic impact on the field of Autism Spectrum Disorder research, and it offers pathways to a greater understanding of biological mechanisms, even potentially treatments. Matthew State, chair of the department of psychiatry at University of California San Francisco, and his colleagues wrote a review paper in the journal Neuropsychopharmacology, called “Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders.” Have a listen to learn more! Related Article - https://www.nature.com/articles/s41386-020-0768-y
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Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders
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