Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder.
Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder.
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DOI:
10.1186/s13100-021-00256-w
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发表时间:
2021-11-27
期刊:
影响因子:
4.9
通讯作者:
Lee EA
中科院分区:
文献类型:
--
作者:
Borges-Monroy R;Chu C;Dias C;Choi J;Lee S;Gao Y;Shin T;Park PJ;Walsh CA;Lee EA
Retrotransposons have been implicated as causes of Mendelian disease, but their role in autism spectrum disorder (ASD) has not been systematically defined, because they are only called with adequate sensitivity from whole genome sequencing (WGS) data and a large enough cohort for this analysis has only recently become available. We analyzed WGS data from a cohort of 2288 ASD families from the Simons Simplex Collection by establishing a scalable computational pipeline for retrotransposon insertion detection. We report 86,154 polymorphic retrotransposon insertions—including > 60% not previously reported—and 158 de novo retrotransposition events. The overall burden of de novo events was similar between ASD individuals and unaffected siblings, with 1 de novo insertion per 29, 117, and 206 births for Alu, L1, and SVA respectively, and 1 de novo insertion per 21 births total. However, ASD cases showed more de novo L1 insertions than expected in ASD genes. Additionally, we observed exonic insertions in loss-of-function intolerant genes, including a likely pathogenic exonic insertion in CSDE1, only in ASD individuals. These findings suggest a modest, but important, impact of intronic and exonic retrotransposon insertions in ASD, show the importance of WGS for their analysis, and highlight the utility of specific bioinformatic tools for high-throughput detection of retrotransposon insertions. The online version contains supplementary material available at 10.1186/s13100-021-00256-w.
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影响因子:
7
作者:
Gardner EJ;Lam VK;Harris DN;Chuang NT;Scott EC;Pittard WS;Mills RE;1000 Genomes Project Consortium;Devine SE
通讯作者:
Devine SE
影响因子:
64.8
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通讯作者:
Wigler, Michael
影响因子:
4.9
作者:
Hancks DC;Kazazian HH Jr
通讯作者:
Kazazian HH Jr
影响因子:
16.6
作者:
Chu C;Borges-Monroy R;Viswanadham VV;Lee S;Li H;Lee EA;Park PJ
通讯作者:
Park PJ
影响因子:
3.5
作者:
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通讯作者:
Scherer, S. W.