| Literature DB >> 29777376 |
Shintaro Ono1,2, Manabu Nakayama3, Hirokazu Kanegane4, Akihiro Hoshino1,5, Saeko Shimodera6, Hirofumi Shibata6, Hisanori Fujino7, Takahiro Fujino8, Yuta Yunomae9, Tsubasa Okano1, Motoi Yamashita1, Takahiro Yasumi6, Kazushi Izawa6, Masatoshi Takagi10, Kohsuke Imai10, Kejian Zhang11, Rebecca Marsh12, Capucine Picard13,14, Sylvain Latour14, Osamu Ohara2,3, Tomohiro Morio1.
Abstract
Epstein-Barr virus (EBV) is associated with several life-threatening diseases, such as lymphoproliferative disease (LPD), particularly in immunocompromised hosts. Some categories of primary immunodeficiency diseases (PIDs) including X-linked lymphoproliferative syndrome (XLP), are characterized by susceptibility and vulnerability to EBV infection. The number of genetically defined PIDs is rapidly increasing, and clinical genetic testing plays an important role in establishing a definitive diagnosis. Whole-exome sequencing is performed for diagnosing rare genetic diseases, but is both expensive and time-consuming. Low-cost, high-throughput gene analysis systems are thus necessary. We developed a comprehensive molecular diagnostic method using a two-step tailed polymerase chain reaction (PCR) and a next-generation sequencing (NGS) platform to detect mutations in 23 candidate genes responsible for XLP or XLP-like diseases. Samples from 19 patients suspected of having EBV-associated LPD were used in this comprehensive molecular diagnosis. Causative gene mutations (involving PRF1 and SH2D1A) were detected in two of the 19 patients studied. This comprehensive diagnosis method effectively detected mutations in all coding exons of 23 genes with sufficient read numbers for each amplicon. This comprehensive molecular diagnostic method using PCR and NGS provides a rapid, accurate, low-cost diagnosis for patients with XLP or XLP-like diseases.Entities:
Keywords: Epstein–Barr virus; Hemophagocytic lymphohistiocytosis; Lymphoproliferative disease; Next-generation sequencing; Primary immunodeficiency disease; X-linked lymphoproliferative syndrome
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Year: 2018 PMID: 29777376 DOI: 10.1007/s12185-018-2475-6
Source DB: PubMed Journal: Int J Hematol ISSN: 0925-5710 Impact factor: 2.490