Rates of contributory de novo mutation in high and low-risk autism families
Yoon, Munoz, et al. investigate the rate of de novo coding and non-coding variants in families with high- and low-risk for autism using whole-genome sequence data from collections of families with autism. They demonstrate that de novo intronic variants increase the risk of autism, that the contribut...
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Nature Portfolio
2021
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oai:doaj.org-article:436481e0995849c1abbd8e86fd1fda392021-12-02T15:28:56ZRates of contributory de novo mutation in high and low-risk autism families10.1038/s42003-021-02533-z2399-3642https://doaj.org/article/436481e0995849c1abbd8e86fd1fda392021-09-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02533-zhttps://doaj.org/toc/2399-3642Yoon, Munoz, et al. investigate the rate of de novo coding and non-coding variants in families with high- and low-risk for autism using whole-genome sequence data from collections of families with autism. They demonstrate that de novo intronic variants increase the risk of autism, that the contribution of de novo variants is significantly larger in low-risk families, and that de novo variants contribute to 30-39% of cases of all autism.Seungtai YoonAdriana MunozBoris YamromYoon-ha LeePeter AndrewsSteven MarksZihua WangCatherine ReevesLara WinterkornAbba M. KriegerAndreas BujaKith PradhanMichael RonemusKristin K. BaldwinDan LevyMichael WiglerIvan IossifovNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-10 (2021) |
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DOAJ |
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DOAJ |
language |
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topic |
Biology (General) QH301-705.5 |
spellingShingle |
Biology (General) QH301-705.5 Seungtai Yoon Adriana Munoz Boris Yamrom Yoon-ha Lee Peter Andrews Steven Marks Zihua Wang Catherine Reeves Lara Winterkorn Abba M. Krieger Andreas Buja Kith Pradhan Michael Ronemus Kristin K. Baldwin Dan Levy Michael Wigler Ivan Iossifov Rates of contributory de novo mutation in high and low-risk autism families |
description |
Yoon, Munoz, et al. investigate the rate of de novo coding and non-coding variants in families with high- and low-risk for autism using whole-genome sequence data from collections of families with autism. They demonstrate that de novo intronic variants increase the risk of autism, that the contribution of de novo variants is significantly larger in low-risk families, and that de novo variants contribute to 30-39% of cases of all autism. |
format |
article |
author |
Seungtai Yoon Adriana Munoz Boris Yamrom Yoon-ha Lee Peter Andrews Steven Marks Zihua Wang Catherine Reeves Lara Winterkorn Abba M. Krieger Andreas Buja Kith Pradhan Michael Ronemus Kristin K. Baldwin Dan Levy Michael Wigler Ivan Iossifov |
author_facet |
Seungtai Yoon Adriana Munoz Boris Yamrom Yoon-ha Lee Peter Andrews Steven Marks Zihua Wang Catherine Reeves Lara Winterkorn Abba M. Krieger Andreas Buja Kith Pradhan Michael Ronemus Kristin K. Baldwin Dan Levy Michael Wigler Ivan Iossifov |
author_sort |
Seungtai Yoon |
title |
Rates of contributory de novo mutation in high and low-risk autism families |
title_short |
Rates of contributory de novo mutation in high and low-risk autism families |
title_full |
Rates of contributory de novo mutation in high and low-risk autism families |
title_fullStr |
Rates of contributory de novo mutation in high and low-risk autism families |
title_full_unstemmed |
Rates of contributory de novo mutation in high and low-risk autism families |
title_sort |
rates of contributory de novo mutation in high and low-risk autism families |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/436481e0995849c1abbd8e86fd1fda39 |
work_keys_str_mv |
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1718387200050069504 |