Contact information
Research groups
Emilie Wigdor
PhD
Postdoctoral Research Scientist
My research focuses on the genetics and functional genomics of neurodevelopmental and psychiatric disorders. In the Sanders Group, my main projects are BrainVar and BrainNet. These studies use whole genome sequencing and single-cell multi-omic approaches to analyze gene expression across the span of human cerebral cortical development, and to dissect the autism transcriptome.
Prior to joining the Sanders Group at the IDRM and Department of Paediatrics, I did my PhD in genomics at the Wellcome Sanger Institute and the University of Cambridge. There, I investigated the role of common variation and spliceosome variants in rare disorders, with a focus on undiagnosed neurodevelopment disorders.
Before my PhD, I trained as an associate computational biologist at the Stanley Center for Psychiatric Research at the Broad Institute, where I worked on the genetic epidemiology of autism, particularly on sex-bias.
I completed my undergraduate in 2015 in Cognitive Neuroscience and Psychology at Harvard University.
Key publications
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The female protective effect against autism spectrum disorder
Wigdor EM. et al, (2022), Cell Genomics, 2, 100134 - 100134
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Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders.
Weiner DJ. et al, (2017), Nat Genet, 49, 978 - 985
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Paternal-age-related de novo mutations and risk for five disorders
Taylor JL. et al, (2019), Nature Communications, 10
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Autism spectrum disorder and attention deficit hyperactivity disorder have a similar burden of rare protein-truncating variants
Satterstrom FK. et al, (2019), Nature Neuroscience, 22, 1961 - 1965
Recent publications
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Examining the role of common variants in rare neurodevelopmental conditions
Huang QQ. et al, (2024), Nature
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Substantial role of rare inherited variation in individuals with developmental disorders
Samocha KE. et al, (2024)
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Genome-wide association meta-analysis of age at onset of walking
Gui A. et al, (2024)
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Dissecting the contribution of common variants to risk of rare neurodevelopmental conditions
Huang QQ. et al, (2024)
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AlphaMissense is better correlated with functional assays of missense impact than earlier prediction algorithms.
Ljungdahl A. et al, (2023)