Ozalp Ozge, Anlas Ozlem
Department of Medical Genetics, Adana City Training and Research Hospital, University of Health Sciences, 4522. Street, 01230 Adana, Turkey.
Indian J Hematol Blood Transfus. 2024 Apr;40(2):268-280. doi: 10.1007/s12288-023-01694-7. Epub 2023 Oct 3.
Hemoglobinopathies are the most common monogenic disorders in the world. Traditional diagnostic algorithms generated by conventional methods for thalassemia can be labor-intensive and time-consuming due to the complexities of the genes involved and the variability in disease-causing mutations. With the advantages of next-generation sequencing (NGS) technology, molecular analysis of highly complex diseases such as hemoglobinopathies has become easier. Next-generation sequencing is a highly sensitive and effective method due to its capacity to sequence many gene regions simultaneously while allowing good read depths. In this study, single nucleotide changes, small deletions and copy number variations in and in 914 patients with suspected hemoglobinopathy were analysed with NGS. At least one or variant was detected in 483 (52.8%) patients. Ten novel variants were detected in and , three in and one in . From these variants, c.*76T > A, c.301-24 G > A, c.301-24G > C c.-41C > G, c.-37-40C > G, c.-9G > C, c. 95 + 9C > T, c.95 + 26C > A, c.95 + 38C > T and c.*18C > G variants were located in α-globin genes, c.-25T > C, c.*103T > C and c92 + 39A > G variants were located in β-globin genes, and c.-43C > A was located in . This is the first comprehensive study using NGS for the molecular diagnosis of hemoglobinopathies in Turkey. Accurate molecular diagnosis is of critical importance in hemoglobinopathies which are a public health problem due to their increased prevalence, high burden to society, and lack of curative treatment. Currently, NGS appears to be an advanced option over conventional methods to detect all variants occurring by molecular mechanisms and simultaneously analyse many genomic sequences.
血红蛋白病是世界上最常见的单基因疾病。由于所涉及基因的复杂性以及致病突变的变异性,传统方法生成的地中海贫血传统诊断算法可能劳动强度大且耗时。凭借下一代测序(NGS)技术的优势,对诸如血红蛋白病等高度复杂疾病的分子分析变得更加容易。下一代测序是一种高度灵敏且有效的方法,因为它能够同时对许多基因区域进行测序,同时保持良好的读取深度。在本研究中,使用NGS分析了914例疑似血红蛋白病患者的α-珠蛋白基因和β-珠蛋白基因中的单核苷酸变化、小缺失和拷贝数变异。在483例(52.8%)患者中检测到至少一种α-珠蛋白基因或β-珠蛋白基因变异。在α-珠蛋白基因和β-珠蛋白基因中检测到10种新变异,在α-珠蛋白基因中检测到3种,在β-珠蛋白基因中检测到1种。在这些变异中,c.*76T>A、c.301-24G>A、c.301-24G>C、c.-41C>G、c.-37-40C>G、c.-9G>C、c.95+9C>T、c.95+26C>A、c.95+38C>T和c.*18C>G变异位于α-珠蛋白基因中,c.-25T>C、c.*103T>C和c92+39A>G变异位于β-珠蛋白基因中,c.-43C>A位于ε-珠蛋白基因中。这是土耳其首次使用NGS对血红蛋白病进行分子诊断的综合研究。准确的分子诊断在血红蛋白病中至关重要,由于其患病率增加、对社会负担沉重且缺乏治愈性治疗,血红蛋白病是一个公共卫生问题。目前,与传统方法相比,NGS似乎是检测所有由分子机制产生的变异并同时分析许多基因组序列的先进选择。