Rates of contributory de novo mutation in high and low-risk autism families.

Yoon, Seungtai, Munoz, Adriana, Yamrom, Boris, Lee, Yoon-Ha, Andrews, Peter, Marks, Steven, Wang, Zihua, Reeves, Catherine, Winterkorn, Lara, Krieger, Abba M, Buja, Andreas, Pradhan, Kith, Ronemus, Michael, Baldwin, Kristin K, Levy, Dan, Wigler, Michael, Iossifov, Ivan (September 2021) Rates of contributory de novo mutation in high and low-risk autism families. Communications Biology, 4 (1). p. 1026. ISSN 2399-3642

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Abstract

Autism arises in high and low-risk families. De novo mutation contributes to autism incidence in low-risk families as there is a higher incidence in the affected of the simplex families than in their unaffected siblings. But the extent of contribution in low-risk families cannot be determined solely from simplex families as they are a mixture of low and high-risk. The rate of de novo mutation in nearly pure populations of high-risk families, the multiplex families, has not previously been rigorously determined. Moreover, rates of de novo mutation have been underestimated from studies based on low resolution microarrays and whole exome sequencing. Here we report on findings from whole genome sequence (WGS) of both simplex families from the Simons Simplex Collection (SSC) and multiplex families from the Autism Genetic Resource Exchange (AGRE). After removing the multiplex samples with excessive cell-line genetic drift, we find that the contribution of de novo mutation in multiplex is significantly smaller than the contribution in simplex. We use WGS to provide high resolution CNV profiles and to analyze more than coding regions, and revise upward the rate in simplex autism due to an excess of de novo events targeting introns. Based on this study, we now estimate that de novo events contribute to 52-67% of cases of autism arising from low risk families, and 30-39% of cases of all autism.

Item Type:	Paper
Subjects:	bioinformatics bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification diseases & disorders bioinformatics > genomics and proteomics > genetics & nucleic acid processing bioinformatics > genomics and proteomics diseases & disorders > mental disorders diseases & disorders > mental disorders > personality disorders diseases & disorders > mental disorders > personality disorders > autism bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > de novo mutation bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > mutations
CSHL Authors:	Yoon, Seungtai Yamrom, Boris Lee, Yoon-Ha Andrews, Peter Wang, Zihua Ronemus, Michael Levy, Dan Wigler, Michael H. Iossifov, Ivan Munoz Jimenez, Adriana Marks, Stephen
Communities:	CSHL labs > Iossifov lab CSHL labs > Levy lab CSHL labs > Wigler lab CSHL labs > Yoon lab
SWORD Depositor:	CSHL Elements
Depositing User:	CSHL Elements
Date:	1 September 2021
Date Deposited:	03 Sep 2021 15:12
Last Modified:	26 Jan 2024 16:43
PMCID:	PMC8410909
URI:	https://repository.cshl.edu/id/eprint/40340

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