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Identification of novel candidate disease genes from de novo exonic copy number variants
BACKGROUND: Exon-targeted microarrays can detect small (<1000 bp) intragenic copy number variants (CNVs), including those that affect only a single exon. This genome-wide high-sensitivity approach increases the molecular diagnosis for conditions with known disease-associated genes, enables better...
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/PMC5607840/ https://www.ncbi.nlm.nih.gov/pubmed/28934986 http://dx.doi.org/10.1186/s13073-017-0472-7 |
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author | Gambin, Tomasz Yuan, Bo Bi, Weimin Liu, Pengfei Rosenfeld, Jill A. Coban-Akdemir, Zeynep Pursley, Amber N. Nagamani, Sandesh C. S. Marom, Ronit Golla, Sailaja Dengle, Lauren Petrie, Heather G. Matalon, Reuben Emrick, Lisa Proud, Monica B. Treadwell-Deering, Diane Chao, Hsiao-Tuan Koillinen, Hannele Brown, Chester Urraca, Nora Mostafavi, Roya Bernes, Saunder Roeder, Elizabeth R. Nugent, Kimberly M. Bader, Patricia I. Bellus, Gary Cummings, Michael Northrup, Hope Ashfaq, Myla Westman, Rachel Wildin, Robert Beck, Anita E. Immken, LaDonna Elton, Lindsay Varghese, Shaun Buchanan, Edward Faivre, Laurence Lefebvre, Mathilde Schaaf, Christian P. Walkiewicz, Magdalena Yang, Yaping Kang, Sung-Hae L. Lalani, Seema R. Bacino, Carlos A. Beaudet, Arthur L. Breman, Amy M. Smith, Janice L. Cheung, Sau Wai Lupski, James R. Patel, Ankita Shaw, Chad A. Stankiewicz, Paweł |
author_facet | Gambin, Tomasz Yuan, Bo Bi, Weimin Liu, Pengfei Rosenfeld, Jill A. Coban-Akdemir, Zeynep Pursley, Amber N. Nagamani, Sandesh C. S. Marom, Ronit Golla, Sailaja Dengle, Lauren Petrie, Heather G. Matalon, Reuben Emrick, Lisa Proud, Monica B. Treadwell-Deering, Diane Chao, Hsiao-Tuan Koillinen, Hannele Brown, Chester Urraca, Nora Mostafavi, Roya Bernes, Saunder Roeder, Elizabeth R. Nugent, Kimberly M. Bader, Patricia I. Bellus, Gary Cummings, Michael Northrup, Hope Ashfaq, Myla Westman, Rachel Wildin, Robert Beck, Anita E. Immken, LaDonna Elton, Lindsay Varghese, Shaun Buchanan, Edward Faivre, Laurence Lefebvre, Mathilde Schaaf, Christian P. Walkiewicz, Magdalena Yang, Yaping Kang, Sung-Hae L. Lalani, Seema R. Bacino, Carlos A. Beaudet, Arthur L. Breman, Amy M. Smith, Janice L. Cheung, Sau Wai Lupski, James R. Patel, Ankita Shaw, Chad A. Stankiewicz, Paweł |
author_sort | Gambin, Tomasz |
collection | PubMed |
description | BACKGROUND: Exon-targeted microarrays can detect small (<1000 bp) intragenic copy number variants (CNVs), including those that affect only a single exon. This genome-wide high-sensitivity approach increases the molecular diagnosis for conditions with known disease-associated genes, enables better genotype–phenotype correlations, and facilitates variant allele detection allowing novel disease gene discovery. METHODS: We retrospectively analyzed data from 63,127 patients referred for clinical chromosomal microarray analysis (CMA) at Baylor Genetics laboratories, including 46,755 individuals tested using exon-targeted arrays, from 2007 to 2017. Small CNVs harboring a single gene or two to five non-disease-associated genes were identified; the genes involved were evaluated for a potential disease association. RESULTS: In this clinical population, among rare CNVs involving any single gene reported in 7200 patients (11%), we identified 145 de novo autosomal CNVs (117 losses and 28 intragenic gains), 257 X-linked deletion CNVs in males, and 1049 inherited autosomal CNVs (878 losses and 171 intragenic gains); 111 known disease genes were potentially disrupted by de novo autosomal or X-linked (in males) single-gene CNVs. Ninety-one genes, either recently proposed as candidate disease genes or not yet associated with diseases, were disrupted by 147 single-gene CNVs, including 37 de novo deletions and ten de novo intragenic duplications on autosomes and 100 X-linked CNVs in males. Clinical features in individuals with de novo or X-linked CNVs encompassing at most five genes (224 bp to 1.6 Mb in size) were compared to those in individuals with larger-sized deletions (up to 5 Mb in size) in the internal CMA database or loss-of-function single nucleotide variants (SNVs) detected by clinical or research whole-exome sequencing (WES). This enabled the identification of recently published genes (BPTF, NONO, PSMD12, TANGO2, and TRIP12), novel candidate disease genes (ARGLU1 and STK3), and further confirmation of disease association for two recently proposed disease genes (MEIS2 and PTCHD1). Notably, exon-targeted CMA detected several pathogenic single-exon CNVs missed by clinical WES analyses. CONCLUSIONS: Together, these data document the efficacy of exon-targeted CMA for detection of genic and exonic CNVs, complementing and extending WES in clinical diagnostics, and the potential for discovery of novel disease genes by genome-wide assay. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-017-0472-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5607840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56078402017-09-25 Identification of novel candidate disease genes from de novo exonic copy number variants Gambin, Tomasz Yuan, Bo Bi, Weimin Liu, Pengfei Rosenfeld, Jill A. Coban-Akdemir, Zeynep Pursley, Amber N. Nagamani, Sandesh C. S. Marom, Ronit Golla, Sailaja Dengle, Lauren Petrie, Heather G. Matalon, Reuben Emrick, Lisa Proud, Monica B. Treadwell-Deering, Diane Chao, Hsiao-Tuan Koillinen, Hannele Brown, Chester Urraca, Nora Mostafavi, Roya Bernes, Saunder Roeder, Elizabeth R. Nugent, Kimberly M. Bader, Patricia I. Bellus, Gary Cummings, Michael Northrup, Hope Ashfaq, Myla Westman, Rachel Wildin, Robert Beck, Anita E. Immken, LaDonna Elton, Lindsay Varghese, Shaun Buchanan, Edward Faivre, Laurence Lefebvre, Mathilde Schaaf, Christian P. Walkiewicz, Magdalena Yang, Yaping Kang, Sung-Hae L. Lalani, Seema R. Bacino, Carlos A. Beaudet, Arthur L. Breman, Amy M. Smith, Janice L. Cheung, Sau Wai Lupski, James R. Patel, Ankita Shaw, Chad A. Stankiewicz, Paweł Genome Med Research BACKGROUND: Exon-targeted microarrays can detect small (<1000 bp) intragenic copy number variants (CNVs), including those that affect only a single exon. This genome-wide high-sensitivity approach increases the molecular diagnosis for conditions with known disease-associated genes, enables better genotype–phenotype correlations, and facilitates variant allele detection allowing novel disease gene discovery. METHODS: We retrospectively analyzed data from 63,127 patients referred for clinical chromosomal microarray analysis (CMA) at Baylor Genetics laboratories, including 46,755 individuals tested using exon-targeted arrays, from 2007 to 2017. Small CNVs harboring a single gene or two to five non-disease-associated genes were identified; the genes involved were evaluated for a potential disease association. RESULTS: In this clinical population, among rare CNVs involving any single gene reported in 7200 patients (11%), we identified 145 de novo autosomal CNVs (117 losses and 28 intragenic gains), 257 X-linked deletion CNVs in males, and 1049 inherited autosomal CNVs (878 losses and 171 intragenic gains); 111 known disease genes were potentially disrupted by de novo autosomal or X-linked (in males) single-gene CNVs. Ninety-one genes, either recently proposed as candidate disease genes or not yet associated with diseases, were disrupted by 147 single-gene CNVs, including 37 de novo deletions and ten de novo intragenic duplications on autosomes and 100 X-linked CNVs in males. Clinical features in individuals with de novo or X-linked CNVs encompassing at most five genes (224 bp to 1.6 Mb in size) were compared to those in individuals with larger-sized deletions (up to 5 Mb in size) in the internal CMA database or loss-of-function single nucleotide variants (SNVs) detected by clinical or research whole-exome sequencing (WES). This enabled the identification of recently published genes (BPTF, NONO, PSMD12, TANGO2, and TRIP12), novel candidate disease genes (ARGLU1 and STK3), and further confirmation of disease association for two recently proposed disease genes (MEIS2 and PTCHD1). Notably, exon-targeted CMA detected several pathogenic single-exon CNVs missed by clinical WES analyses. CONCLUSIONS: Together, these data document the efficacy of exon-targeted CMA for detection of genic and exonic CNVs, complementing and extending WES in clinical diagnostics, and the potential for discovery of novel disease genes by genome-wide assay. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-017-0472-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-21 /pmc/articles/PMC5607840/ /pubmed/28934986 http://dx.doi.org/10.1186/s13073-017-0472-7 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 Gambin, Tomasz Yuan, Bo Bi, Weimin Liu, Pengfei Rosenfeld, Jill A. Coban-Akdemir, Zeynep Pursley, Amber N. Nagamani, Sandesh C. S. Marom, Ronit Golla, Sailaja Dengle, Lauren Petrie, Heather G. Matalon, Reuben Emrick, Lisa Proud, Monica B. Treadwell-Deering, Diane Chao, Hsiao-Tuan Koillinen, Hannele Brown, Chester Urraca, Nora Mostafavi, Roya Bernes, Saunder Roeder, Elizabeth R. Nugent, Kimberly M. Bader, Patricia I. Bellus, Gary Cummings, Michael Northrup, Hope Ashfaq, Myla Westman, Rachel Wildin, Robert Beck, Anita E. Immken, LaDonna Elton, Lindsay Varghese, Shaun Buchanan, Edward Faivre, Laurence Lefebvre, Mathilde Schaaf, Christian P. Walkiewicz, Magdalena Yang, Yaping Kang, Sung-Hae L. Lalani, Seema R. Bacino, Carlos A. Beaudet, Arthur L. Breman, Amy M. Smith, Janice L. Cheung, Sau Wai Lupski, James R. Patel, Ankita Shaw, Chad A. Stankiewicz, Paweł Identification of novel candidate disease genes from de novo exonic copy number variants |
title | Identification of novel candidate disease genes from de novo exonic copy number variants |
title_full | Identification of novel candidate disease genes from de novo exonic copy number variants |
title_fullStr | Identification of novel candidate disease genes from de novo exonic copy number variants |
title_full_unstemmed | Identification of novel candidate disease genes from de novo exonic copy number variants |
title_short | Identification of novel candidate disease genes from de novo exonic copy number variants |
title_sort | identification of novel candidate disease genes from de novo exonic copy number variants |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607840/ https://www.ncbi.nlm.nih.gov/pubmed/28934986 http://dx.doi.org/10.1186/s13073-017-0472-7 |
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