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Refining the role of de novo protein truncating variants in neurodevelopmental disorders using population reference samples

Recent research has uncovered a significant role for de novo variation in neurodevelopmental disorders. Using aggregated data from 9246 families with autism spectrum disorder, intellectual disability, or developmental delay, we show ~1/3 of de novo variants are independently observed as standing var...

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Detalles Bibliográficos
Autores principales: Kosmicki, Jack A., Samocha, Kaitlin E., Howrigan, Daniel P., Sanders, Stephan J., Slowikowski, Kamil, Lek, Monkol, Karczewski, Konrad J., Cutler, David J., Devlin, Bernie, Roeder, Kathryn, Buxbaum, Joseph D., Neale, Benjamin M., MacArthur, Daniel G., Wall, Dennis P., Robinson, Elise B., Daly, Mark J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496244/
https://www.ncbi.nlm.nih.gov/pubmed/28191890
http://dx.doi.org/10.1038/ng.3789
Descripción
Sumario:Recent research has uncovered a significant role for de novo variation in neurodevelopmental disorders. Using aggregated data from 9246 families with autism spectrum disorder, intellectual disability, or developmental delay, we show ~1/3 of de novo variants are independently observed as standing variation in the Exome Aggregation Consortium’s cohort of 60,706 adults, and these de novo variants do not contribute to neurodevelopmental risk. We further use a loss-of-function (LoF)-intolerance metric, pLI, to identify a subset of LoF-intolerant genes that contain the observed signal of associated de novo protein truncating variants (PTVs) in neurodevelopmental disorders. LoF-intolerant genes also carry a modest excess of inherited PTVs; though the strongest de novo impacted genes contribute little to this, suggesting the excess of inherited risk resides lower-penetrant genes. These findings illustrate the importance of population-based reference cohorts for the interpretation of candidate pathogenic variants, even for analyses of complex diseases and de novo variation.