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author Yuen, Ryan KC
Merico, Daniele
Cao, Hongzhi
Pellecchia, Giovanna
Alipanahi, Babak
Thiruvahindrapuram, Bhooma
Tong, Xin
Sun, Yuhui
Cao, Dandan
Zhang, Tao
Wu, Xueli
Jin, Xin
Zhou, Ze
Liu, Xiaomin
Nalpathamkalam, Thomas
Walker, Susan
Howe, Jennifer L
Wang, Zhuozhi
MacDonald, Jeffrey R
Chan, Ada JS
D’Abate, Lia
Deneault, Eric
Siu, Michelle T
Tammimies, Kristiina
Uddin, Mohammed
Zarrei, Mehdi
Wang, Mingbang
Li, Yingrui
Wang, Jun
Wang, Jian
Yang, Huanming
Bookman, Matt
Bingham, Jonathan
Gross, Samuel S
Loy, Dion
Pletcher, Mathew
Marshall, Christian R
Anagnostou, Evdokia
Zwaigenbaum, Lonnie
Weksberg, Rosanna
Fernandez, Bridget A
Roberts, Wendy
Szatmari, Peter
Glazer, David
Frey, Brendan J
Ring, Robert H
Xu, Xun
Scherer, Stephen W
author_facet Yuen, Ryan KC
Merico, Daniele
Cao, Hongzhi
Pellecchia, Giovanna
Alipanahi, Babak
Thiruvahindrapuram, Bhooma
Tong, Xin
Sun, Yuhui
Cao, Dandan
Zhang, Tao
Wu, Xueli
Jin, Xin
Zhou, Ze
Liu, Xiaomin
Nalpathamkalam, Thomas
Walker, Susan
Howe, Jennifer L
Wang, Zhuozhi
MacDonald, Jeffrey R
Chan, Ada JS
D’Abate, Lia
Deneault, Eric
Siu, Michelle T
Tammimies, Kristiina
Uddin, Mohammed
Zarrei, Mehdi
Wang, Mingbang
Li, Yingrui
Wang, Jun
Wang, Jian
Yang, Huanming
Bookman, Matt
Bingham, Jonathan
Gross, Samuel S
Loy, Dion
Pletcher, Mathew
Marshall, Christian R
Anagnostou, Evdokia
Zwaigenbaum, Lonnie
Weksberg, Rosanna
Fernandez, Bridget A
Roberts, Wendy
Szatmari, Peter
Glazer, David
Frey, Brendan J
Ring, Robert H
Xu, Xun
Scherer, Stephen W
author_sort Yuen, Ryan KC
collection PubMed
description De novo mutations (DNMs) are important in autism spectrum disorder (ASD), but so far analyses have mainly been on the ~1.5% of the genome encoding genes. Here, we performed whole-genome sequencing (WGS) of 200 ASD parent–child trios and characterised germline and somatic DNMs. We confirmed that the majority of germline DNMs (75.6%) originated from the father, and these increased significantly with paternal age only (P=4.2×10(−10)). However, when clustered DNMs (those within 20 kb) were found in ASD, not only did they mostly originate from the mother (P=7.7×10(−13)), but they could also be found adjacent to de novo copy number variations where the mutation rate was significantly elevated (P=2.4×10(−24)). By comparing with DNMs detected in controls, we found a significant enrichment of predicted damaging DNMs in ASD cases (P=8.0×10(−9); odds ratio=1.84), of which 15.6% (P=4.3×10(−3)) and 22.5% (P=7.0×10(−5)) were non-coding or genic non-coding, respectively. The non-coding elements most enriched for DNM were untranslated regions of genes, regulatory sequences involved in exon-skipping and DNase I hypersensitive regions. Using microarrays and a novel outlier detection test, we also found aberrant methylation profiles in 2/185 (1.1%) of ASD cases. These same individuals carried independently identified DNMs in the ASD-risk and epigenetic genes DNMT3A and ADNP. Our data begins to characterize different genome-wide DNMs, and highlight the contribution of non-coding variants, to the aetiology of ASD.
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spelling pubmed-49801212016-08-10 Genome-wide characteristics of de novo mutations in autism Yuen, Ryan KC Merico, Daniele Cao, Hongzhi Pellecchia, Giovanna Alipanahi, Babak Thiruvahindrapuram, Bhooma Tong, Xin Sun, Yuhui Cao, Dandan Zhang, Tao Wu, Xueli Jin, Xin Zhou, Ze Liu, Xiaomin Nalpathamkalam, Thomas Walker, Susan Howe, Jennifer L Wang, Zhuozhi MacDonald, Jeffrey R Chan, Ada JS D’Abate, Lia Deneault, Eric Siu, Michelle T Tammimies, Kristiina Uddin, Mohammed Zarrei, Mehdi Wang, Mingbang Li, Yingrui Wang, Jun Wang, Jian Yang, Huanming Bookman, Matt Bingham, Jonathan Gross, Samuel S Loy, Dion Pletcher, Mathew Marshall, Christian R Anagnostou, Evdokia Zwaigenbaum, Lonnie Weksberg, Rosanna Fernandez, Bridget A Roberts, Wendy Szatmari, Peter Glazer, David Frey, Brendan J Ring, Robert H Xu, Xun Scherer, Stephen W NPJ Genom Med Article De novo mutations (DNMs) are important in autism spectrum disorder (ASD), but so far analyses have mainly been on the ~1.5% of the genome encoding genes. Here, we performed whole-genome sequencing (WGS) of 200 ASD parent–child trios and characterised germline and somatic DNMs. We confirmed that the majority of germline DNMs (75.6%) originated from the father, and these increased significantly with paternal age only (P=4.2×10(−10)). However, when clustered DNMs (those within 20 kb) were found in ASD, not only did they mostly originate from the mother (P=7.7×10(−13)), but they could also be found adjacent to de novo copy number variations where the mutation rate was significantly elevated (P=2.4×10(−24)). By comparing with DNMs detected in controls, we found a significant enrichment of predicted damaging DNMs in ASD cases (P=8.0×10(−9); odds ratio=1.84), of which 15.6% (P=4.3×10(−3)) and 22.5% (P=7.0×10(−5)) were non-coding or genic non-coding, respectively. The non-coding elements most enriched for DNM were untranslated regions of genes, regulatory sequences involved in exon-skipping and DNase I hypersensitive regions. Using microarrays and a novel outlier detection test, we also found aberrant methylation profiles in 2/185 (1.1%) of ASD cases. These same individuals carried independently identified DNMs in the ASD-risk and epigenetic genes DNMT3A and ADNP. Our data begins to characterize different genome-wide DNMs, and highlight the contribution of non-coding variants, to the aetiology of ASD. Nature Publishing Group 2016-08-03 /pmc/articles/PMC4980121/ /pubmed/27525107 http://dx.doi.org/10.1038/npjgenmed.2016.27 Text en Copyright © 2016 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Yuen, Ryan KC
Merico, Daniele
Cao, Hongzhi
Pellecchia, Giovanna
Alipanahi, Babak
Thiruvahindrapuram, Bhooma
Tong, Xin
Sun, Yuhui
Cao, Dandan
Zhang, Tao
Wu, Xueli
Jin, Xin
Zhou, Ze
Liu, Xiaomin
Nalpathamkalam, Thomas
Walker, Susan
Howe, Jennifer L
Wang, Zhuozhi
MacDonald, Jeffrey R
Chan, Ada JS
D’Abate, Lia
Deneault, Eric
Siu, Michelle T
Tammimies, Kristiina
Uddin, Mohammed
Zarrei, Mehdi
Wang, Mingbang
Li, Yingrui
Wang, Jun
Wang, Jian
Yang, Huanming
Bookman, Matt
Bingham, Jonathan
Gross, Samuel S
Loy, Dion
Pletcher, Mathew
Marshall, Christian R
Anagnostou, Evdokia
Zwaigenbaum, Lonnie
Weksberg, Rosanna
Fernandez, Bridget A
Roberts, Wendy
Szatmari, Peter
Glazer, David
Frey, Brendan J
Ring, Robert H
Xu, Xun
Scherer, Stephen W
Genome-wide characteristics of de novo mutations in autism
title Genome-wide characteristics of de novo mutations in autism
title_full Genome-wide characteristics of de novo mutations in autism
title_fullStr Genome-wide characteristics of de novo mutations in autism
title_full_unstemmed Genome-wide characteristics of de novo mutations in autism
title_short Genome-wide characteristics of de novo mutations in autism
title_sort genome-wide characteristics of de novo mutations in autism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980121/
https://www.ncbi.nlm.nih.gov/pubmed/27525107
http://dx.doi.org/10.1038/npjgenmed.2016.27
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