Multiphasic analysis of whole exome sequencing data identifies a novel mutation of ACTG1 in a nonsyndromic hearing loss family

BMC Genomics

Research Article

Woong-Yang Park¹  Hyo-Sang Kim²  Kyu-Hee Han²  Ah Reum Kim²  Seung-Ha Oh²  Byung Yoon Choi³  Gibeom Park⁴  Jungsoo Gim⁵  Taesung Park⁶ 

[1]Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, 135-710, Seoul, Korea

[2]Translational Genomics Laboratory, Samsung Genome Institute, Samsung Medical Center, 135-710, Seoul, Korea

[3]Department of Otolaryngology, Seoul National University College of Medicine, 110-799, Seoul, Korea

[4]Department of Otolaryngology, Seoul National University College of Medicine, 110-799, Seoul, Korea

[5]Department of Otolaryngology, Seoul National University Bundang Hospital, 463-707, Seongnam, Korea

[6]Departments of Biomedical Sciences, Seoul National University Graduate School, 110-799, Seoul, Korea

[7]Interdiciplinary Program for Bioinformatics, College of Natural Science, Seoul National University, 151-742, Seoul, Korea

[8]Interdiciplinary Program for Bioinformatics, College of Natural Science, Seoul National University, 151-742, Seoul, Korea

[9]Department of Statistics, College of Natural Science, Seoul National University, 151-742, Seoul, Korea

关键词: Hearing loss;    Copy number variation;    Linkage analysis;    Single nucleotide variation;    Mutation analysis;   

DOI  :  10.1186/1471-2164-14-191

 received in 2012-10-31, accepted in 2013-03-04,  发布年份 2013

来源: Springer

【 摘 要 】

BackgroundThe genetic heterogeneity of sensorineural hearing loss is a major hurdle to the efficient discovery of disease-causing genes. We designed a multiphasic analysis of copy number variation (CNV), linkage, and single nucleotide variation (SNV) of whole exome sequencing (WES) data for the efficient discovery of mutations causing nonsyndromic hearing loss (NSHL).ResultsFrom WES data, we identified five distinct CNV loci from a NSHL family, but they were not co-segregated among patients. Linkage analysis based on SNVs identified six candidate loci (logarithm of odds [LOD] >1.5). We selected 15 SNVs that co-segregated with NSHL in the family, which were located in six linkage candidate loci. Finally, the novel variant p.M305T in ACTG1 (DFNA20/26) was selected as a disease-causing variant.ConclusionsHere, we present a multiphasic CNV, linkage, and SNV analysis of WES data for the identification of a candidate mutation causing NSHL. Our stepwise, multiphasic approach enabled us to expedite the discovery of disease-causing variants from a large number of patient variants.

【 授权许可】

CC BY   
© Park et al.; licensee BioMed Central Ltd. 2013