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Over two decades of research have uncovered over 100 genes with rare mutations linked to autism spectrum disorder (ASD), yet transcriptomic and epigenetic analyses reveal convergent dysregulation patterns in ASD brain tissue. In this webinar, learn how Dr. Dan Geschwind and his team at UCLA combine bioinformatics and experimental approaches to show that both common and rare genetic variations converge during early fetal cortical development. Using the largest hiPSC patient cohort and cortical organoid models, they identified shared transcriptional changes and created a resource of isogenic lines with over 100 ASD-associated mutations. Their integrative, network-based approach aims to clarify how genetic risk influences neurodevelopment through transcriptional regulation.
Speaker: Dan Geschwind, MD, PhD
Gordon and Virginia MacDonald Distinguished Professor of Neurology, Psychiatry and Human Genetics
Senior Associate Dean and Associate Vice Chancellor of Precision Health, Institute for Precision Health (IPH)
University of California Los Angeles (UCLA)
By tv.qiagenbioinformatics.comOver two decades of research have uncovered over 100 genes with rare mutations linked to autism spectrum disorder (ASD), yet transcriptomic and epigenetic analyses reveal convergent dysregulation patterns in ASD brain tissue. In this webinar, learn how Dr. Dan Geschwind and his team at UCLA combine bioinformatics and experimental approaches to show that both common and rare genetic variations converge during early fetal cortical development. Using the largest hiPSC patient cohort and cortical organoid models, they identified shared transcriptional changes and created a resource of isogenic lines with over 100 ASD-associated mutations. Their integrative, network-based approach aims to clarify how genetic risk influences neurodevelopment through transcriptional regulation.
Speaker: Dan Geschwind, MD, PhD
Gordon and Virginia MacDonald Distinguished Professor of Neurology, Psychiatry and Human Genetics
Senior Associate Dean and Associate Vice Chancellor of Precision Health, Institute for Precision Health (IPH)
University of California Los Angeles (UCLA)