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Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability

BACKGROUND: Intellectual Disability (ID) is among the most common global disorders, yet etiology is unknown in ~30% of patients despite clinical assessment. Whole genome sequencing (WGS) is able to interrogate the entire genome, providing potential to diagnose idiopathic patients. METHODS: We conduc...

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Autores principales: Zahir, Farah R., Mwenifumbo, Jill C., Chun, Hye-Jung E., Lim, Emilia L., Van Karnebeek, Clara D. M., Couse, Madeline, Mungall, Karen L., Lee, Leora, Makela, Nancy, Armstrong, Linlea, Boerkoel, Cornelius F., Langlois, Sylvie L., McGillivray, Barbara M., Jones, Steven J. M., Friedman, Jan M., Marra, Marco A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5442678/
https://www.ncbi.nlm.nih.gov/pubmed/28539120
http://dx.doi.org/10.1186/s12864-017-3671-0
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author Zahir, Farah R.
Mwenifumbo, Jill C.
Chun, Hye-Jung E.
Lim, Emilia L.
Van Karnebeek, Clara D. M.
Couse, Madeline
Mungall, Karen L.
Lee, Leora
Makela, Nancy
Armstrong, Linlea
Boerkoel, Cornelius F.
Langlois, Sylvie L.
McGillivray, Barbara M.
Jones, Steven J. M.
Friedman, Jan M.
Marra, Marco A.
author_facet Zahir, Farah R.
Mwenifumbo, Jill C.
Chun, Hye-Jung E.
Lim, Emilia L.
Van Karnebeek, Clara D. M.
Couse, Madeline
Mungall, Karen L.
Lee, Leora
Makela, Nancy
Armstrong, Linlea
Boerkoel, Cornelius F.
Langlois, Sylvie L.
McGillivray, Barbara M.
Jones, Steven J. M.
Friedman, Jan M.
Marra, Marco A.
author_sort Zahir, Farah R.
collection PubMed
description BACKGROUND: Intellectual Disability (ID) is among the most common global disorders, yet etiology is unknown in ~30% of patients despite clinical assessment. Whole genome sequencing (WGS) is able to interrogate the entire genome, providing potential to diagnose idiopathic patients. METHODS: We conducted WGS on eight children with idiopathic ID and brain structural defects, and their normal parents; carrying out an extensive data analyses, using standard and discovery approaches. RESULTS: We verified de novo pathogenic single nucleotide variants (SNV) in ARID1B c.1595delG and PHF6 c.820C > T, potentially causative de novo two base indels in SQSTM1 c.115_116delinsTA and UPF1 c.1576_1577delinsA, and de novo SNVs in CACNB3 c.1289G > A, and SPRY4 c.508 T > A, of uncertain significance. We report results from a large secondary control study of 2081 exomes probing the pathogenicity of the above genes. We analyzed structural variation by four different algorithms including de novo genome assembly. We confirmed a likely contributory 165 kb de novo heterozygous 1q43 microdeletion missed by clinical microarray. The de novo assembly resulted in unmasking hidden genome instability that was missed by standard re-alignment based algorithms. We also interrogated regulatory sequence variation for known and hypothesized ID genes and present useful strategies for WGS data analyses for non-coding variation. CONCLUSION: This study provides an extensive analysis of WGS in the context of ID, providing genetic and structural insights into ID and yielding diagnoses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3671-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-54426782017-05-25 Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability Zahir, Farah R. Mwenifumbo, Jill C. Chun, Hye-Jung E. Lim, Emilia L. Van Karnebeek, Clara D. M. Couse, Madeline Mungall, Karen L. Lee, Leora Makela, Nancy Armstrong, Linlea Boerkoel, Cornelius F. Langlois, Sylvie L. McGillivray, Barbara M. Jones, Steven J. M. Friedman, Jan M. Marra, Marco A. BMC Genomics Research Article BACKGROUND: Intellectual Disability (ID) is among the most common global disorders, yet etiology is unknown in ~30% of patients despite clinical assessment. Whole genome sequencing (WGS) is able to interrogate the entire genome, providing potential to diagnose idiopathic patients. METHODS: We conducted WGS on eight children with idiopathic ID and brain structural defects, and their normal parents; carrying out an extensive data analyses, using standard and discovery approaches. RESULTS: We verified de novo pathogenic single nucleotide variants (SNV) in ARID1B c.1595delG and PHF6 c.820C > T, potentially causative de novo two base indels in SQSTM1 c.115_116delinsTA and UPF1 c.1576_1577delinsA, and de novo SNVs in CACNB3 c.1289G > A, and SPRY4 c.508 T > A, of uncertain significance. We report results from a large secondary control study of 2081 exomes probing the pathogenicity of the above genes. We analyzed structural variation by four different algorithms including de novo genome assembly. We confirmed a likely contributory 165 kb de novo heterozygous 1q43 microdeletion missed by clinical microarray. The de novo assembly resulted in unmasking hidden genome instability that was missed by standard re-alignment based algorithms. We also interrogated regulatory sequence variation for known and hypothesized ID genes and present useful strategies for WGS data analyses for non-coding variation. CONCLUSION: This study provides an extensive analysis of WGS in the context of ID, providing genetic and structural insights into ID and yielding diagnoses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3671-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-24 /pmc/articles/PMC5442678/ /pubmed/28539120 http://dx.doi.org/10.1186/s12864-017-3671-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zahir, Farah R.
Mwenifumbo, Jill C.
Chun, Hye-Jung E.
Lim, Emilia L.
Van Karnebeek, Clara D. M.
Couse, Madeline
Mungall, Karen L.
Lee, Leora
Makela, Nancy
Armstrong, Linlea
Boerkoel, Cornelius F.
Langlois, Sylvie L.
McGillivray, Barbara M.
Jones, Steven J. M.
Friedman, Jan M.
Marra, Marco A.
Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
title Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
title_full Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
title_fullStr Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
title_full_unstemmed Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
title_short Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
title_sort comprehensive whole genome sequence analyses yields novel genetic and structural insights for intellectual disability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5442678/
https://www.ncbi.nlm.nih.gov/pubmed/28539120
http://dx.doi.org/10.1186/s12864-017-3671-0
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