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Exome Pool-Seq in neurodevelopmental disorders
High throughput sequencing has greatly advanced disease gene identification, especially in heterogeneous entities. Despite falling costs this is still an expensive and laborious technique, particularly when studying large cohorts. To address this problem we applied Exome Pool-Seq as an economic and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865117/ https://www.ncbi.nlm.nih.gov/pubmed/29158550 http://dx.doi.org/10.1038/s41431-017-0022-1 |
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author | Popp, Bernt Ekici, Arif B. Thiel, Christian T. Hoyer, Juliane Wiesener, Antje Kraus, Cornelia Reis, André Zweier, Christiane |
author_facet | Popp, Bernt Ekici, Arif B. Thiel, Christian T. Hoyer, Juliane Wiesener, Antje Kraus, Cornelia Reis, André Zweier, Christiane |
author_sort | Popp, Bernt |
collection | PubMed |
description | High throughput sequencing has greatly advanced disease gene identification, especially in heterogeneous entities. Despite falling costs this is still an expensive and laborious technique, particularly when studying large cohorts. To address this problem we applied Exome Pool-Seq as an economic and fast screening technology in neurodevelopmental disorders (NDDs). Sequencing of 96 individuals can be performed in eight pools of 12 samples on less than one Illumina sequencer lane. In a pilot study with 96 cases we identified 27 variants, likely or possibly affecting function. Twenty five of these were identified in 923 established NDD genes (based on SysID database, status November 2016) (ACTB, AHDC1, ANKRD11, ATP6V1B2, ATRX, CASK, CHD8, GNAS, IFIH1, KCNQ2, KMT2A, KRAS, MAOA, MED12, MED13L, RIT1, SETD5, SIN3A, TCF4, TRAPPC11, TUBA1A, WAC, ZBTB18, ZMYND11), two in 543 (SysID) candidate genes (ZNF292, BPTF), and additionally a de novo loss-of-function variant in LRRC7, not previously implicated in NDDs. Most of them were confirmed to be de novo, but we also identified X-linked or autosomal-dominantly or autosomal-recessively inherited variants. With a detection rate of 28%, Exome Pool-Seq achieves comparable results to individual exome analyses but reduces costs by >85%. Compared with other large scale approaches using Molecular Inversion Probes (MIP) or gene panels, it allows flexible re-analysis of data. Exome Pool-Seq is thus well suited for large-scale, cost-efficient and flexible screening in characterized but heterogeneous entities like NDDs. |
format | Online Article Text |
id | pubmed-5865117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-58651172018-03-28 Exome Pool-Seq in neurodevelopmental disorders Popp, Bernt Ekici, Arif B. Thiel, Christian T. Hoyer, Juliane Wiesener, Antje Kraus, Cornelia Reis, André Zweier, Christiane Eur J Hum Genet Article High throughput sequencing has greatly advanced disease gene identification, especially in heterogeneous entities. Despite falling costs this is still an expensive and laborious technique, particularly when studying large cohorts. To address this problem we applied Exome Pool-Seq as an economic and fast screening technology in neurodevelopmental disorders (NDDs). Sequencing of 96 individuals can be performed in eight pools of 12 samples on less than one Illumina sequencer lane. In a pilot study with 96 cases we identified 27 variants, likely or possibly affecting function. Twenty five of these were identified in 923 established NDD genes (based on SysID database, status November 2016) (ACTB, AHDC1, ANKRD11, ATP6V1B2, ATRX, CASK, CHD8, GNAS, IFIH1, KCNQ2, KMT2A, KRAS, MAOA, MED12, MED13L, RIT1, SETD5, SIN3A, TCF4, TRAPPC11, TUBA1A, WAC, ZBTB18, ZMYND11), two in 543 (SysID) candidate genes (ZNF292, BPTF), and additionally a de novo loss-of-function variant in LRRC7, not previously implicated in NDDs. Most of them were confirmed to be de novo, but we also identified X-linked or autosomal-dominantly or autosomal-recessively inherited variants. With a detection rate of 28%, Exome Pool-Seq achieves comparable results to individual exome analyses but reduces costs by >85%. Compared with other large scale approaches using Molecular Inversion Probes (MIP) or gene panels, it allows flexible re-analysis of data. Exome Pool-Seq is thus well suited for large-scale, cost-efficient and flexible screening in characterized but heterogeneous entities like NDDs. Springer International Publishing 2017-11-20 2017-12 /pmc/articles/PMC5865117/ /pubmed/29158550 http://dx.doi.org/10.1038/s41431-017-0022-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. If you remix, transform, or build upon this article or a part thereof, you must distribute your contributions under the same license as the original. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/. |
spellingShingle | Article Popp, Bernt Ekici, Arif B. Thiel, Christian T. Hoyer, Juliane Wiesener, Antje Kraus, Cornelia Reis, André Zweier, Christiane Exome Pool-Seq in neurodevelopmental disorders |
title | Exome Pool-Seq in neurodevelopmental disorders |
title_full | Exome Pool-Seq in neurodevelopmental disorders |
title_fullStr | Exome Pool-Seq in neurodevelopmental disorders |
title_full_unstemmed | Exome Pool-Seq in neurodevelopmental disorders |
title_short | Exome Pool-Seq in neurodevelopmental disorders |
title_sort | exome pool-seq in neurodevelopmental disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865117/ https://www.ncbi.nlm.nih.gov/pubmed/29158550 http://dx.doi.org/10.1038/s41431-017-0022-1 |
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