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Genomic diagnosis for children with intellectual disability and/or developmental delay
BACKGROUND: Developmental disabilities have diverse genetic causes that must be identified to facilitate precise diagnoses. We describe genomic data from 371 affected individuals, 309 of which were sequenced as proband-parent trios. METHODS: Whole-exome sequences (WES) were generated for 365 individ...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448144/ https://www.ncbi.nlm.nih.gov/pubmed/28554332 http://dx.doi.org/10.1186/s13073-017-0433-1 |
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author | Bowling, Kevin M. Thompson, Michelle L. Amaral, Michelle D. Finnila, Candice R. Hiatt, Susan M. Engel, Krysta L. Cochran, J. Nicholas Brothers, Kyle B. East, Kelly M. Gray, David E. Kelley, Whitley V. Lamb, Neil E. Lose, Edward J. Rich, Carla A. Simmons, Shirley Whittle, Jana S. Weaver, Benjamin T. Nesmith, Amy S. Myers, Richard M. Barsh, Gregory S. Bebin, E. Martina Cooper, Gregory M. |
author_facet | Bowling, Kevin M. Thompson, Michelle L. Amaral, Michelle D. Finnila, Candice R. Hiatt, Susan M. Engel, Krysta L. Cochran, J. Nicholas Brothers, Kyle B. East, Kelly M. Gray, David E. Kelley, Whitley V. Lamb, Neil E. Lose, Edward J. Rich, Carla A. Simmons, Shirley Whittle, Jana S. Weaver, Benjamin T. Nesmith, Amy S. Myers, Richard M. Barsh, Gregory S. Bebin, E. Martina Cooper, Gregory M. |
author_sort | Bowling, Kevin M. |
collection | PubMed |
description | BACKGROUND: Developmental disabilities have diverse genetic causes that must be identified to facilitate precise diagnoses. We describe genomic data from 371 affected individuals, 309 of which were sequenced as proband-parent trios. METHODS: Whole-exome sequences (WES) were generated for 365 individuals (127 affected) and whole-genome sequences (WGS) were generated for 612 individuals (244 affected). RESULTS: Pathogenic or likely pathogenic variants were found in 100 individuals (27%), with variants of uncertain significance in an additional 42 (11.3%). We found that a family history of neurological disease, especially the presence of an affected first-degree relative, reduces the pathogenic/likely pathogenic variant identification rate, reflecting both the disease relevance and ease of interpretation of de novo variants. We also found that improvements to genetic knowledge facilitated interpretation changes in many cases. Through systematic reanalyses, we have thus far reclassified 15 variants, with 11.3% of families who initially were found to harbor a VUS and 4.7% of families with a negative result eventually found to harbor a pathogenic or likely pathogenic variant. To further such progress, the data described here are being shared through ClinVar, GeneMatcher, and dbGaP. CONCLUSIONS: Our data strongly support the value of large-scale sequencing, especially WGS within proband-parent trios, as both an effective first-choice diagnostic tool and means to advance clinical and research progress related to pediatric neurological disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-017-0433-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5448144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54481442017-05-30 Genomic diagnosis for children with intellectual disability and/or developmental delay Bowling, Kevin M. Thompson, Michelle L. Amaral, Michelle D. Finnila, Candice R. Hiatt, Susan M. Engel, Krysta L. Cochran, J. Nicholas Brothers, Kyle B. East, Kelly M. Gray, David E. Kelley, Whitley V. Lamb, Neil E. Lose, Edward J. Rich, Carla A. Simmons, Shirley Whittle, Jana S. Weaver, Benjamin T. Nesmith, Amy S. Myers, Richard M. Barsh, Gregory S. Bebin, E. Martina Cooper, Gregory M. Genome Med Research BACKGROUND: Developmental disabilities have diverse genetic causes that must be identified to facilitate precise diagnoses. We describe genomic data from 371 affected individuals, 309 of which were sequenced as proband-parent trios. METHODS: Whole-exome sequences (WES) were generated for 365 individuals (127 affected) and whole-genome sequences (WGS) were generated for 612 individuals (244 affected). RESULTS: Pathogenic or likely pathogenic variants were found in 100 individuals (27%), with variants of uncertain significance in an additional 42 (11.3%). We found that a family history of neurological disease, especially the presence of an affected first-degree relative, reduces the pathogenic/likely pathogenic variant identification rate, reflecting both the disease relevance and ease of interpretation of de novo variants. We also found that improvements to genetic knowledge facilitated interpretation changes in many cases. Through systematic reanalyses, we have thus far reclassified 15 variants, with 11.3% of families who initially were found to harbor a VUS and 4.7% of families with a negative result eventually found to harbor a pathogenic or likely pathogenic variant. To further such progress, the data described here are being shared through ClinVar, GeneMatcher, and dbGaP. CONCLUSIONS: Our data strongly support the value of large-scale sequencing, especially WGS within proband-parent trios, as both an effective first-choice diagnostic tool and means to advance clinical and research progress related to pediatric neurological disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-017-0433-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-30 /pmc/articles/PMC5448144/ /pubmed/28554332 http://dx.doi.org/10.1186/s13073-017-0433-1 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 Bowling, Kevin M. Thompson, Michelle L. Amaral, Michelle D. Finnila, Candice R. Hiatt, Susan M. Engel, Krysta L. Cochran, J. Nicholas Brothers, Kyle B. East, Kelly M. Gray, David E. Kelley, Whitley V. Lamb, Neil E. Lose, Edward J. Rich, Carla A. Simmons, Shirley Whittle, Jana S. Weaver, Benjamin T. Nesmith, Amy S. Myers, Richard M. Barsh, Gregory S. Bebin, E. Martina Cooper, Gregory M. Genomic diagnosis for children with intellectual disability and/or developmental delay |
title | Genomic diagnosis for children with intellectual disability and/or developmental delay |
title_full | Genomic diagnosis for children with intellectual disability and/or developmental delay |
title_fullStr | Genomic diagnosis for children with intellectual disability and/or developmental delay |
title_full_unstemmed | Genomic diagnosis for children with intellectual disability and/or developmental delay |
title_short | Genomic diagnosis for children with intellectual disability and/or developmental delay |
title_sort | genomic diagnosis for children with intellectual disability and/or developmental delay |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448144/ https://www.ncbi.nlm.nih.gov/pubmed/28554332 http://dx.doi.org/10.1186/s13073-017-0433-1 |
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