E-viri
Recenzirano
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Okano, Tsubasa; Imai, Kohsuke; Naruto, Takuya; Okada, Satoshi; Yamashita, Motoi; Yeh, Tzu-wen; Ono, Shintaro; Tanaka, Keisuke; Okamoto, Keisuke; Tanita, Kay; Matsumoto, Kazuaki; Toyofuku, Etsushi; Kumaki-Matsumoto, Eri; Okamura, Miko; Ueno, Hiroo; Ogawa, Seishi; Ohara, Osamu; Takagi, Masatoshi; Kanegane, Hirokazu; Morio, Tomohiro
Journal of clinical immunology, 07/2020, Letnik: 40, Številka: 5Journal Article
Purpose Owing to recent technological advancements, using next-generation sequencing (NGS) and the accumulation of clinical experiences worldwide, more than 420 genes associated with inborn errors of immunity (IEI) have been identified, which exhibit large genotypic and phenotypic variations. Consequently, NGS-based comprehensive genetic analysis, including whole-exome sequencing (WES), have become more valuable in the clinical setting and have contributed to earlier diagnosis, improved treatment, and prognosis. However, these approaches have the following disadvantages that need to be considered: a relatively low diagnostic rate, high cost, difficulties in the interpretation of each variant, and the risk of incidental findings. Thus, the objective of this study is to review our WES results of a large number of patients with IEI and to elucidate patient characteristics, which are related to the positive WES result. Methods We performed WES for 136 IEI patients with negative conventional screening results for candidate genes and classified these variants depending on validity of their pathogenicity. Results We identified disease-causing pathogenic mutations in 36 (26.5%) of the patients which were found in known IEI-causing genes. Although the overall diagnostic rate was not high and was not apparently correlated with the clinical subcategories and severity, we revealed that earlier onset with longer duration of diseases were associated with positive WES results, especially in pediatric cases. Conclusions Most of the disease-causing germline mutations were located in the known IEI genes which could be predicted using patients’ clinical characteristics. These results may be useful when considering appropriate genetic approaches in the clinical setting.
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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