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


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
01 09 2021
Historique:
received: 10 07 2019
accepted: 09 08 2021
entrez: 2 9 2021
pubmed: 3 9 2021
medline: 15 12 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34471188
doi: 10.1038/s42003-021-02533-z
pii: 10.1038/s42003-021-02533-z
pmc: PMC8410909
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1026

Subventions

Organisme : NHGRI NIH HHS
ID : UM1 HG008901
Pays : United States

Informations de copyright

© 2021. The Author(s).

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Auteurs

Seungtai Yoon (S)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Adriana Munoz (A)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Boris Yamrom (B)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Yoon-Ha Lee (YH)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Peter Andrews (P)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Steven Marks (S)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Zihua Wang (Z)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Catherine Reeves (C)

New York Genome Center, New York, NY, USA.

Lara Winterkorn (L)

New York Genome Center, New York, NY, USA.

Abba M Krieger (AM)

Statistics Department, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

Andreas Buja (A)

Statistics Department, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

Kith Pradhan (K)

Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.

Michael Ronemus (M)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Kristin K Baldwin (KK)

Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA.
Department of Genetics and Development, Columbia University, New York, NY, USA.

Dan Levy (D)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.

Michael Wigler (M)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.
New York Genome Center, New York, NY, USA.

Ivan Iossifov (I)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA. iossifov@cshl.edu.
New York Genome Center, New York, NY, USA. iossifov@cshl.edu.

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