Identification of novel candidate disease genes from de novo exonic copy number variants

Identification of novel candidate disease genes from de novo exonic copy number variants

Abstract 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, enable...

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Bibliographic Details
Main Authors: Tomasz Gambin, Bo Yuan, Weimin Bi, Pengfei Liu, Jill A. Rosenfeld, Zeynep Coban-Akdemir, Amber N. Pursley, Sandesh C. S. Nagamani, Ronit Marom, Sailaja Golla, Lauren Dengle, Heather G. Petrie, Reuben Matalon, Lisa Emrick, Monica B. Proud, Diane Treadwell-Deering, Hsiao-Tuan Chao, Hannele Koillinen, Chester Brown, Nora Urraca, Roya Mostafavi, Saunder Bernes, Elizabeth R. Roeder, Kimberly M. Nugent, Patricia I. Bader, Gary Bellus, Michael Cummings, Hope Northrup, Myla Ashfaq, Rachel Westman, Robert Wildin, Anita E. Beck, LaDonna Immken, Lindsay Elton, Shaun Varghese, Edward Buchanan, Laurence Faivre, Mathilde Lefebvre, Christian P. Schaaf, Magdalena Walkiewicz, Yaping Yang, Sung-Hae L. Kang, Seema R. Lalani, Carlos A. Bacino, Arthur L. Beaudet, Amy M. Breman, Janice L. Smith, Sau Wai Cheung, James R. Lupski, Ankita Patel, Chad A. Shaw, Paweł Stankiewicz
Format: Article
Language:English
Published: BMC 2017-09-01
Series:Genome Medicine
Subjects:
Exon targeted array CGH
Intragenic copy number variants
CNVs
de novo variants
Online Access:http://link.springer.com/article/10.1186/s13073-017-0472-7

Internet

http://link.springer.com/article/10.1186/s13073-017-0472-7

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