Molecular diagnosis of alpha-thalassemia in a multiethnic population

作者：Gilad Oded; Shemer Orna Steinberg; Dgany Orly; Krasnov Tanya; Nevo Michal; Noy Lotan Sharon; Rabinowicz Ron; Amitai Nofar; Ben Dor Shifra; Yaniv Isaac; Yacobovich Joanne; Tamary Hannah^*

来源：European Journal of Haematology, 2017, 98(6): 553-562.

DOI：10.1111/ejh.12866

• alpha-thalassemia
• molecular diagnosis
• microcytic anemia

Objective: alpha-Thalassemia, one of the most common genetic diseases, is caused by deletions or point mutations affecting one to four alpha-globin genes. Molecular diagnosis is important to prevent the most severe forms of the disease. However, the diagnosis of alpha-thalassemia is complex due to a high variability of the genetic defects involved, with over 250 described mutations. We summarize herein the findings of genetic analyses of DNA samples referred to our laboratory for the molecular diagnosis of alpha-thalassemia, along with a detailed clinical description.
Methods: We utilized a diagnostic algorithm including Gap-PCR, to detect known-deletions, followed by sequencing of the a-globin gene, to identify known and novel point mutations, and multiplex ligation-dependent probe amplification (MLPA) for the diagnosis of rare or novel deletions.
Results: alpha-Thalassemia was diagnosed in 662 of 975 samples referred to our laboratory. Most commonly found were deletions (75.3%, including two novel deletions previously described by us); point mutations comprised 25.4% of the cases, including five novel mutations. Our population included mostly Jews (of Ashkenazi and Sephardic origin) and Muslim Arabs, who presented with a higher rate of point mutations and hemoglobin H disease. Overall, we detected 53 different genotype combinations causing a spectrum of clinical phenotypes, from asymptomatic to severe anemia.
Conclusion: Our work constitutes the largest group of patients with alpha-thalassemia originating in the Mediterranean whose clinical characteristics and molecular basis have been determined. We suggest a diagnostic algorithm that leads to an accurate molecular diagnosis in multiethnic populations.

• 出版日期2017-6