新一代测序技术在伊朗人口孟德尔疾病诊断中的临床应用

IF 4.7 2区 医学 Q1 GENETICS & HEREDITY
Ayda Abolhassani, Zohreh Fattahi, Maryam Beheshtian, Mahsa Fadaee, Raheleh Vazehan, Fatemeh Ahangari, Shima Dehdahsi, Mehrshid Faraji Zonooz, Elham Parsimehr, Zahra Kalhor, Fatemeh Peymani, Maryam Mozaffarpour Nouri, Mojgan Babanejad, Khadijeh Noudehi, Fatemeh Fatehi, Shima Zamanian Najafabadi, Fariba Afroozan, Hilda Yazdan, Bita Bozorgmehr, Azita Azarkeivan, Shokouh Sadat Mahdavi, Pooneh Nikuei, Farzad Fatehi, Payman Jamali, Mahmoud Reza Ashrafi, Parvaneh Karimzadeh, Haleh Habibi, Kimia Kahrizi, Shahriar Nafissi, Ariana Kariminejad, Hossein Najmabadi
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引用次数: 0

摘要

下一代测序(NGS)已被证明是罕见孟德尔疾病最强大的诊断工具之一。几项关于 NGS 在未经选择的中东患者队列中的临床应用的研究报告称,NGS 的诊断率高达 48%,这与这些人群的高度近亲繁殖有关。我们对来自伊朗的 1436 名患者进行了基于 NGS 的不同临床适应症检测的诊断效用评估,这是在这一高度近亲繁殖人群中进行的首次同类研究。在 8 年时间里,一家临床遗传学实验室共进行了 1075 次外显子组测序和 361 次靶向基因组测序,其中大多数病例仅进行了概率测试(91.6%)。总体诊断率为 46.7%,其中产前发育异常患者的诊断率为 24%,皮肤异常患者的诊断率超过 67%。我们发现了 660 个致病或可能致病的变异体,包括 241 个新型变异体,它们与超过 342 种已知遗传病相关。由于该队列具有高度近亲性,因此大多数患者(79.1%)被诊断为常染色体隐性遗传疾病,并且在无法进行直接检测的情况下,我们还能确定已故子女的疑似隐性表型夫妇的共同携带者身份。我们还着重观察了以前只与显性遗传病相关的基因的隐性遗传情况,并为多个特征较少的基因提供了更广泛的基因型-表型谱。我们展示了整个伊朗人口中已知孟德尔疾病的最大变异谱,包括可能的始祖变异,这可以作为本地和其他地区临床基因组研究的独特资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Clinical application of next generation sequencing for Mendelian disease diagnosis in the Iranian population

Clinical application of next generation sequencing for Mendelian disease diagnosis in the Iranian population

Next-generation sequencing (NGS) has been proven to be one of the most powerful diagnostic tools for rare Mendelian disorders. Several studies on the clinical application of NGS in unselected cohorts of Middle Eastern patients have reported a high diagnostic yield of up to 48%, correlated with a high level of consanguinity in these populations. We evaluated the diagnostic utility of NGS-based testing across different clinical indications in 1436 patients from Iran, representing the first study of its kind in this highly consanguineous population. A total of 1075 exome sequencing and 361 targeted gene panel sequencing were performed over 8 years at a single clinical genetics laboratory, with the majority of cases tested as proband-only (91.6%). The overall diagnostic rate was 46.7%, ranging from 24% in patients with an abnormality of prenatal development to over 67% in patients with an abnormality of the skin. We identified 660 pathogenic or likely pathogenic variants, including 241 novel variants, associated with over 342 known genetic conditions. The highly consanguineous nature of this cohort led to the diagnosis of autosomal recessive disorders in the majority of patients (79.1%) and allowed us to determine the shared carrier status of couples for suspected recessive phenotypes in their deceased child(ren) when direct testing was not possible. We also highlight the observations of recessive inheritance of genes previously associated only with dominant disorders and provide an expanded genotype–phenotype spectrum for multiple less-characterized genes. We present the largest mutational spectrum of known Mendelian disease, including possible founder variants, throughout the Iranian population, which can serve as a unique resource for clinical genomic studies locally and beyond.

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来源期刊
NPJ Genomic Medicine
NPJ Genomic Medicine Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍: npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine. The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.
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