Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
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
_version_ 1783265350206357504
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
work_keys_str_mv AT gambintomasz identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT yuanbo identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT biweimin identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT liupengfei identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT rosenfeldjilla identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT cobanakdemirzeynep identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT pursleyambern identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT nagamanisandeshcs identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT maromronit identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT gollasailaja identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT denglelauren identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT petrieheatherg identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT matalonreuben identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT emricklisa identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT proudmonicab identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT treadwelldeeringdiane identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT chaohsiaotuan identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT koillinenhannele identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT brownchester identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT urracanora identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT mostafaviroya identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT bernessaunder identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT roederelizabethr identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT nugentkimberlym identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT baderpatriciai identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT bellusgary identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT cummingsmichael identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT northruphope identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT ashfaqmyla identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT westmanrachel identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT wildinrobert identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT beckanitae identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT immkenladonna identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT eltonlindsay identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT vargheseshaun identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT buchananedward identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT faivrelaurence identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT lefebvremathilde identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT schaafchristianp identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT walkiewiczmagdalena identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT yangyaping identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT kangsunghael identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT lalaniseemar identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT bacinocarlosa identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT beaudetarthurl identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT bremanamym identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT smithjanicel identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT cheungsauwai identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT lupskijamesr identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT patelankita identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT shawchada identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants
AT stankiewiczpaweł identificationofnovelcandidatediseasegenesfromdenovoexoniccopynumbervariants