Literature DB >> 28667000

Whole-exome sequencing identifies an α-globin cluster triplication resulting in increased clinical severity of β-thalassemia.

Orna Steinberg-Shemer1,2, Jacob C Ulirsch3,4,5, Sharon Noy-Lotan6, Tanya Krasnov6, Dina Attias7, Orly Dgany6, Ruth Laor7, Vijay G Sankaran3,4,5, Hannah Tamary1,2.   

Abstract

Whole-exome sequencing (WES) has been increasingly useful for the diagnosis of patients with rare causes of anemia, particularly when there is an atypical clinical presentation or targeted genotyping approaches are inconclusive. Here, we describe a 20-yr-old man with a lifelong moderate-to-severe anemia with accompanying splenomegaly who lacked a definitive diagnosis. After a thorough clinical workup and targeted genetic sequencing, we identified a paternally inherited β-globin mutation (HBB:c.93-21G>A, IVS-I-110:G>A), a known cause of β-thalassemia minor. As this mutation alone was inconsistent with the severity of the anemia, we performed WES. Although we could not identify any relevant pathogenic single-nucleotide variants (SNVs) or small indels, copy-number variant (CNV) analyses revealed a likely triplication of the entire α-globin cluster, which was subsequently confirmed by multiplex ligation-dependent probe amplification. Treatment and follow-up was redefined according to the diagnosis of β-thalassemia intermedia resulting from a single β-thalassemia mutation in combination with an α-globin cluster triplication. Thus, we describe a case where the typical WES-based analysis of SNVs and small indels was unrevealing, but WES-based CNV analysis resulted in a definitive diagnosis that informed clinical decision-making. More generally, this case illustrates the value of performing CNV analysis when WES is otherwise unable to elucidate a clear genetic diagnosis.
© 2017 Steinberg-Shemer et al.; Published by Cold Spring Harbor Laboratory Press.

Entities:  

Keywords:  hypochromic microcytic anemia; reduced beta/alpha synthesis ratio

Mesh:

Substances:

Year:  2017        PMID: 28667000      PMCID: PMC5701307          DOI: 10.1101/mcs.a001941

Source DB:  PubMed          Journal:  Cold Spring Harb Mol Case Stud        ISSN: 2373-2873


INTRODUCTION

Whole-exome sequencing (WES) has been remarkably successful at helping clinicians and researchers identify pathogenic single-nucleotide variants (SNVs) or small indels that result in severe disease (Sankaran et al. 2012, 2015; Sankaran and Gallagher 2013; Yang et al. 2013; Lacy et al. 2016). In a smaller number of cases, rare copy-number variants (CNVs) that are inferred from differences in WES read coverage have also been identified as pathogenic variants (de Ligt et al. 2013; Poultney et al. 2013; Kelsen et al. 2015; Miyatake et al. 2015). Typically, however, putative CNV calls are not a component of the clinical sequencing deliverables. Indeed, WES-based CNV calls are generally of lower quality than whole-genome sequencing (WGS), microarray, or array comparative genomic hybridization-based calls (Samarakoon et al. 2014; Belkadi et al. 2015), although these approaches have additional cost when compared with WES-based CNV calling when WES data are already available. β-Thalassemia intermedia is typically caused by mutations that affect copies of the β-globin gene that limit, but do not completely abrogate, the production of functional β-globin chains, resulting in a moderate anemia, often with iron overload and other comorbidities (for review, see Vichinsky 2016). The presence of a heterozygous β-globin mutation concurrent with a triplication of the α-globin gene have been described in a number of patients with a clinical presentation ranging from thalassemia minor to intermedia (Kanavakis et al. 1983; Sampietro et al. 1983; Galanello et al. 1983; Thein et al. 1984; Henni et al. 1985; Camaschella et al. 1987; Kulozik et al. 1987; Oron et al. 1994; Traeger-Synodinos et al. 1996; Bianco et al. 1997; Giordano et al. 2009; Farashi et al. 2015; Mehta et al. 2015; Clark et al. 2016). In most cases, the genetic changes were αααanti3.7, the counterpart of the α−3.7 deletion, the most common deletion of the α-globin locus, which spans 3.7 kb and involves both the α2- and α1-globin genes. This genetic change is easily detectable by restriction endonuclease mapping or multiplex Gap-PCR (Liu et al. 2000; de Mare et al. 2010). Here, we performed WES and searched for pathogenic variants in a 20-yr-old man who was initially clinically diagnosed with a rare congenital form of anemia (congenital dyserythropoietic anemia or CDA). Although we could not identify any pathogenic SNVs or indels in the known CDA genes, WES-based CNV analysis revealed an α-globin triplication that was coinherited with a heterozygous β-globin mutation, resulting in a definitive diagnosis of β-thalassemia intermedia that impacted the ongoing clinical management of this patient.

RESULTS

Clinical Presentation

At the age of 18, the patient was first referred to our hematology clinic at the Schneider Children's Medical Center of Israel for evaluation of a lifelong anemia. Medical records showed that at 8 mo of age hemoglobin of 7 g/dl (normal: 10.5–14 g/dl) was noted, while MCV was 62 fl (normal: 73–85 fl). Reticulocyte count was 4%, LDH and indirect bilirubin were elevated, and iron status and thyroid function tests were normal. The father was of Eastern-European origin and the mother was an Ashkenazi Jew. The parents were nonconsanguineous. Upon presentation to our clinic, a physical examination was performed. The patient appeared jaundiced and his spleen was palpated 12 cm below the costal margin. The patient also developed cholelithiasis. Hemoglobin levels ranged between 7 and 9 g/dl, whereas the MCV ranged between 62 and 70 fl. A bone marrow aspiration revealed erythroid hyperplasia with mild dyserythropoiesis, a few binucleated erythroid precursors, and some megaloblastic changes (Fig. 1). Iron staining revealed no evidence of sideroblastic anemia. A thorough workup was performed to rule out enzymopathies, including glucose 6-phosphate dehydrogenase, pyruvate kinase, phosphofructokinase, glucosephosphate isomerase, phosphoglycerate kinase, and aldolase deficiency. Membrane defects were ruled out by the osmotic fragility test.
Figure 1.

Bone marrow morphology of the patient demonstrating erythroid hyperplasia (A) and dyserythropoietic changes (B). Scale bar, 50 µM.

Bone marrow morphology of the patient demonstrating erythroid hyperplasia (A) and dyserythropoietic changes (B). Scale bar, 50 µM. A molecular workup revealed that the patient was a carrier of the HBB:c.93-21G>A (IVS-I-110:G>A) mutation in the β-globin gene (Young et al. 1985). The father was found to carry the same mutation, although he had not previously come to clinical attention for this mild case of β-thalassemia minor. Therefore, the presence of one copy of the mutated allele was unlikely to be sufficient to cause the severe lifelong anemia and morphological changes observed and additional genetic causes were investigated. Sequencing and multiplex gap-PCR of the α-globin gene did not reveal any abnormalities, including the α−3.7 deletion and αααanti3.7 triplication (Liu et al. 2000; de Mare et al. 2010). Given the mild dyserythropoiesis, the CDA genes (CDAN1, C15ORF41, SEC23B, KIF23, KLF1, and GATA1) were sequenced but no pathogenic variants could be identified.

Genomic Analyses

Given the unrevealing results of the targeted genetic approaches, whole-exome sequencing was performed on the patient (Supplemental Table 1). Forty-six candidate erythroid genes were first investigated for rare (ExAC AF < 0.01%) and potentially damaging (loss-of-function or missense) mutations, but no candidate variants for the anemia could be identified. Given that our typical WES-based SNV and small indel analysis was also unrevealing, we decided to call putative CNVs using WES read coverage. This analysis resulted in the identification of eight putative CNVs (Table 1) that were present at a frequency of <5% in control samples. Inspection of these rare putative CNVs revealed a possible triplication of the α-globin cluster (Chr16:160473-240621), in addition to the known mutation in the β-globin gene (Fig. 2). Although maternal DNA was not available to determine the exact inheritance pattern, multiplex ligation-dependent probe amplification (MLPA) confirmed that the patient harbored a large triplication of the whole α-globin cluster including HBA1, HBA2, and HS40-HBQ1-3 (Fig. 3). No other complete genes were present in this triplication event. Importantly, this triplication was larger than would be detected with typical multiplex gap-PCR approaches.
Table 1.

Rare copy number variants identified in proband

ChromosomeStartEndEventNo. of exons
192,251,71492,433,879Duplication7
2109,271,481109,287,355Deletion4
5177,171,344177,210,906Duplication7
6610,047656,996Deletion7
7100,606,688100,610,365Deletion7
1189,664,28989,715,334Duplication9
16160,473240,621Duplication23
1719,532,92719,536,653Deletion4
Figure 2.

Coverage differences in whole-exome sequencing revealed the possibility of an α-globin locus triplication. (A) Plot of principal component analysis (PCA)-normalized z-scores of mean centered read coverages across α-globin locus for 216 controls (gray) and case (red). Deviation from the control distribution of these scores indicates the presence of a likely deletion or duplication. Multimapped reads were allowed given the high homology between HBA1 and HBA2 in order to estimate the full length of the CNV event. (B) Plot of PCA-normalized z-scores for specific bait targeting HBA1 exon 3.

Figure 3.

MLPA verifies a triplication of the whole α-globin cluster. (A) A schematic presentation of the α-globin locus including the genes involved in the triplication by MLPA studies. The black bar indicates the extent of the triplication. (B) MLPA is a multiplex PCR method for detecting abnormal copy numbers. The y-axis represents the relative quantity of each amplicon. The black bar indicates the area of the triplication as diagnosed by MLPA. The error bars refer to the standard deviation. The triplication begins upstream of the DNase I hypersensitive site HS-40 (an upstream regulatory element of HBA cluster genes) and ends downstream to the HBQ1 gene. *The reference genes (gray background) are located in other areas of the genome and serve as a validation of the technique in each run.

Coverage differences in whole-exome sequencing revealed the possibility of an α-globin locus triplication. (A) Plot of principal component analysis (PCA)-normalized z-scores of mean centered read coverages across α-globin locus for 216 controls (gray) and case (red). Deviation from the control distribution of these scores indicates the presence of a likely deletion or duplication. Multimapped reads were allowed given the high homology between HBA1 and HBA2 in order to estimate the full length of the CNV event. (B) Plot of PCA-normalized z-scores for specific bait targeting HBA1 exon 3. MLPA verifies a triplication of the whole α-globin cluster. (A) A schematic presentation of the α-globin locus including the genes involved in the triplication by MLPA studies. The black bar indicates the extent of the triplication. (B) MLPA is a multiplex PCR method for detecting abnormal copy numbers. The y-axis represents the relative quantity of each amplicon. The black bar indicates the area of the triplication as diagnosed by MLPA. The error bars refer to the standard deviation. The triplication begins upstream of the DNase I hypersensitive site HS-40 (an upstream regulatory element of HBA cluster genes) and ends downstream to the HBQ1 gene. *The reference genes (gray background) are located in other areas of the genome and serve as a validation of the technique in each run. Rare copy number variants identified in proband

Treatment Outcomes

Thalassemia results from imbalance in the levels of α- and β-globin chains. In β-thalassemia, the α/β globin ratio is increased, resulting in excess α-globin, which is toxic to red blood cell precursors. Generally, β-thalassemia symptoms can be partially ameliorated by mutations that reduce the overall synthesis of α-globin but worsened by mutations that result in excess α-globin. The combination of α-thalassemia triplications and heterozygous β-thalassemia mutations are known to result in a clinical presentation of thalassemia intermedia (Galanello et al. 1983; Thein et al. 1984; Henni et al. 1985; Camaschella et al. 1987; Kulozik et al. 1987; Oron et al. 1994, Traeger-Synodinos et al. 1996; Giordano et al. 2009; Farashi et al. 2015; Mehta et al. 2015; Clark et al. 2016). In this patient, the diagnosis of thalassemia intermedia is in agreement with his clinical workup, including microcytic anemia and splenomegaly. Having determined the correct diagnosis of thalassemia intermedia in our patient helped guide his clinical management, including decisions regarding indications for blood transfusion, monitoring and treating complications of chronic hemolysis and of iron overload, periodic assessment for pulmonary hypertension, and consideration for treatment with agents that induce fetal hemoglobin (Taher et al. 2013), as the increased production of γ-globin improves the imbalance of the α- and β-globin chains (Musallam et al. 2013). Most importantly, as a result of a definitive molecular diagnosis, we decided to not perform a surgical splenectomy, which can ameliorate the severity of certain anemias (Lacy et al. 2016) but instead carries a high risk of postsplenectomy complications in thalassemia intermedia patients (Karimi et al. 2011; Taher et al. 2013).

DISCUSSION

The clinical spectrum resulting from the combination of heterozygosity for β-thalassemia and triplication of α-globin is wide and ranges from mild β-thalassemia minor to clinically significant thalassemia intermedia (Kanavakis et al. 1983; Sampietro et al. 1983, Galanello et al. 1983, Thein et al. 1984; Henni et al. 1985, Camaschella et al. 1987; Kulozik et al. 1987; Oron et al. 1994; Traeger-Synodinos et al. 1996; Bianco et al. 1997; Giordano et al. 2009; Farashi et al. 2015; Mehta et al. 2015). Most commonly, the triplication of α-globin results from abnormal homologous recombination, generating the common α−3.7 deletion and the αααanti3.7 triplication. However, larger duplications, such as the one identified here, have been described (Harteveld et al. 2008; Jiang et al. 2015; Clark et al. 2016). These larger triplications seem to uniformly result in more severe disease, at least as far as has been reported in the literature, likely because they result in the addition of two extra α-globin copies, contrasting with the αααanti3.7 triplication, which adds only one α-globin copy. Importantly, these uncommon triplications are often missed by standard molecular technologies such as restriction endonuclease mapping and multiplex gap-PCR. Recently, three duplications of the α-globin locus that extended well beyond the locus and would be undetectable by standard approaches were identified by targeted genome sequencing (using a unique library of DNA baits) in thalassemia intermedia patients with heterozygous mutations in the β-globin gene (Clark et al. 2016). Here, we show that in addition to this approach and targeted MLPA (Harteveld et al. 2008; Colosimo et al. 2011), standard WES can also be used to identify extended α-globin CNVs. Thus, in certain cases where WES has already been performed, WES-based CNV calling provides a cost-effective approach for the identification of copy-number changes across the α-globin locus. Notably, the clinical and laboratory details of this patient initially suggested a diagnosis of CDA, and the patient underwent a full genetic workup for all genes known to be involved in these syndromes. In agreement with our own clinical experience as well as with other recent studies, targeted or exome sequencing of clinical CDA cases occasionally results in no genetic evidence of CDA but definitive evidence of alternative hematological disorders explanative of the CDA-like phenotype (Roy et al. 2016). In these alternative disorders, stress erythropoiesis potentially leads to the CDA-like phenotypes observed, but an accurate diagnosis can often have a significant impact on clinical decision-making in these cases. WES-based CNV calling has successfully identified pathogenic variants in a number of genetically unsolved cases. Variants identified are typically deletions, but here we show that pathogenic increases in copy number can also be successfully identified in WES. More generally, we suggest that WES-based CNV calling should be a standard part of any WES pipeline and putative CNVs should be carefully investigated when standard variant analyses are unrevealing prior to moving to more expensive approaches such as WGS.

METHODS

Peripheral blood and bone marrow samples were collected after informed consent was obtained. Bone marrow aspiration smears were stained with Hematek (Siemens).

Sequencing and Analysis

DNA was extracted by DNA isolation kit from mammalian blood (Roche) according to the manufacturer's instructions. WES was performed as previously described with the exception that Illumina ICE baits were used for DNA capture (Sankaran et al. 2012). Coverage across the consensus coding DNA sequences (downloaded from UCSC genome browser on December 13, 2015) plus an additional 20 nt on each side of the exons was calculated using Picard tools (Table 1). The variant call file was annotated with Variant Effect Predictor v83 (McLaren et al. 2016). The genome analysis toolkit (GATK) and Bcftools were then used to identify rare variants (DePristo et al. 2011; Li 2011; Lek et al. 2016). No rare (defined as 0.01% allele frequency in ExAC) damaging (missense or loss-of-function) mutations were present in the patient in any of the known CDA or other red cell disorder genes (ANK1, SPTB, SPTA1, SLC4A1, EPB42, EPB41, PIEZO1, KCNN4, GLUT1, G6PD, PKLR, NT5C3A, HK1, GPI, PGK1, ALDOA, TPI1, PFKM, ALAS2, FECH, UROS, CDAN1, SEC23B, KIF23, KLF1, GATA1, HBB, HBA1, HBA2, RPS19, RPL5, RPL11, RPL35A, RPS26, RPS24, RPS17, RPS7, RPS10, RPL26, RPS29, RPS28, RPS27, RPL27, RPL15, RPL31, TSR2) with the exception of IVS-I-110:G>A in HBB. Copy-number variant analysis was performed using XHMM (Fromer et al. 2012). Controls were 216 unrelated cases from a Diamond–Blackfan anemia cohort that were sequenced at the Broad Institute at the same time as the case reported here. Suggested XHMM parameters were used with the exception that CNVs were called using both unique and multimapped exon read coverages (GATK DepthOfCoverage parameters “--minMappingQuality 20” and “--minMappingQuality 0”, respectively), because HBA1 and HBA2 are highly homologous.

Multiplex Ligation-Dependent Probe Amplification

MLPA was performed using the commercially available kit Salsa MLPA P140B HBA (MCR-Holland) following the manufacturer's instructions. The amplified fragments were separated by capillary electrophoresis in the 3130XL Genetic Analyzer, ABI PRISM (Applied Biosystems). Quantitative data were obtained with Gene-Mapper v3.7 software (Applied Biosystems).

ADDITIONAL INFORMATION

Data Deposition and Access

Whole-exome sequencing data have been deposited in the dbGaP database (http://www.ncbi.nlm.nih.gov/gap) under the accession number phs000474.v3.p2. The HBB variant has been submitted to ClinVar (https://www.ncbi.nlm.nih.gov/clinvar), accession number SCV000579457.

Ethics Statement

The study was approved by the Institutional Review Board (IRB) of the Rabin Medical Center (Study number 0031-11). The patient provided a written consent for the genetic analysis. The IRB allows for the genetic testing performed to be analyzed and deposited, as indicated.

Author Contributions

O.S.S., R.L., and H.T. contributed to patient recruitment and phenotyping. J.C.U. and V.G.S. contributed to sequence data analysis and interpretation. O.S.S., J.C.U., S.N.L., T.K., O.D., R.L., V.G.S., and H.T. contributed to functional evaluation of the variant. O.S.S., J.C.U., V.G.S., and H.T. contributed to writing the initial draft of the manuscript. All authors contributed to revising the manuscript and reviewing the final draft.

Funding

This work was supported by the National Institutes of Health grants R01 DK103794 (National Institute of Diabetes and Digestive and Kidney Diseases) and R33 HL120791 (National Heart, Lung, and Blood Institute) (to V.G.S.).

Competing Interest Statement

The authors have declared no competing interest.
  40 in total

1.  Diverse phenotypes and transfusion requirements due to interaction of β-thalassemias with triplicated α-globin genes.

Authors:  Pallavi R Mehta; Dipti S Upadhye; Pratibha M Sawant; Manju S Gorivale; Anita H Nadkarni; Chandrakala Shanmukhaiah; Kanjaksha Ghosh; Roshan B Colah
Journal:  Ann Hematol       Date:  2015-08-29       Impact factor: 3.673

Review 2.  Applications of high-throughput DNA sequencing to benign hematology.

Authors:  Vijay G Sankaran; Patrick G Gallagher
Journal:  Blood       Date:  2013-09-10       Impact factor: 22.113

3.  Detection of clinically relevant copy number variants with whole-exome sequencing.

Authors:  Joep de Ligt; Philip M Boone; Rolph Pfundt; Lisenka E L M Vissers; Todd Richmond; Joel Geoghegan; Kathleen O'Moore; Nicole de Leeuw; Christine Shaw; Han G Brunner; James R Lupski; Joris A Veltman; Jayne Y Hehir-Kwa
Journal:  Hum Mutat       Date:  2013-08-30       Impact factor: 4.878

4.  A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.

Authors:  Heng Li
Journal:  Bioinformatics       Date:  2011-09-08       Impact factor: 6.937

5.  Phenotypes of individuals with a beta thal classical allele associated either with a beta thal silent allele or with alpha globin gene triplication.

Authors:  I Bianco; M Lerone; E Foglietta; G Deidda; M P Cappabianca; L Morlupi; D Ponzini; P Grisanti; P Di Biagio; A Amato; M Mezzabotta; B Graziani
Journal:  Haematologica       Date:  1997 Sep-Oct       Impact factor: 9.941

6.  Interaction of an α-Globin Gene Triplication with β-Globin Gene Mutations in Iranian Patients with β-Thalassemia Intermedia.

Authors:  Samaneh Farashi; Nooshin Bayat; Negin Faramarzi Garous; Mehri Ashki; Mona Montajabi Niat; Shadi Vakili; Hashem Imanian; Sirous Zeinali; Hossein Najmabadi; Azita Azarkeivan
Journal:  Hemoglobin       Date:  2015-06-18       Impact factor: 0.849

7.  Detecting copy-number variations in whole-exome sequencing data using the eXome Hidden Markov Model: an 'exome-first' approach.

Authors:  Satoko Miyatake; Eriko Koshimizu; Atsushi Fujita; Ryoko Fukai; Eri Imagawa; Chihiro Ohba; Ichiro Kuki; Megumi Nukui; Atsushi Araki; Yoshio Makita; Tsutomu Ogata; Mitsuko Nakashima; Yoshinori Tsurusaki; Noriko Miyake; Hirotomo Saitsu; Naomichi Matsumoto
Journal:  J Hum Genet       Date:  2015-01-22       Impact factor: 3.172

Review 8.  Clinical experience with fetal hemoglobin induction therapy in patients with β-thalassemia.

Authors:  Khaled M Musallam; Ali T Taher; Maria Domenica Cappellini; Vijay G Sankaran
Journal:  Blood       Date:  2013-01-11       Impact factor: 22.113

9.  Beta thalassaemia intermedia due to co-inheritance of three unique alpha globin cluster duplications characterised by next generation sequencing analysis.

Authors:  Barnaby Clark; Claire Shooter; Frances Smith; David Brawand; Laura Steedman; Matthew Oakley; Peter Rushton; Helen Rooks; Xunde Wang; Anthi Drousiotou; Andriani Kyrri; Michael Hadjigavriel; Andrew Will; Chris Fisher; Douglas R Higgs; Marion Phylipsen; Cornelis Harteveld; Marina Kleanthous; Swee Lay Thein
Journal:  Br J Haematol       Date:  2016-07-29       Impact factor: 6.998

10.  The Ensembl Variant Effect Predictor.

Authors:  William McLaren; Laurent Gil; Sarah E Hunt; Harpreet Singh Riat; Graham R S Ritchie; Anja Thormann; Paul Flicek; Fiona Cunningham
Journal:  Genome Biol       Date:  2016-06-06       Impact factor: 13.583

View more
  5 in total

1.  The Genetic Landscape of Diamond-Blackfan Anemia.

Authors:  Jacob C Ulirsch; Jeffrey M Verboon; Shideh Kazerounian; Michael H Guo; Daniel Yuan; Leif S Ludwig; Robert E Handsaker; Nour J Abdulhay; Claudia Fiorini; Giulio Genovese; Elaine T Lim; Aaron Cheng; Beryl B Cummings; Katherine R Chao; Alan H Beggs; Casie A Genetti; Colin A Sieff; Peter E Newburger; Edyta Niewiadomska; Michal Matysiak; Adrianna Vlachos; Jeffrey M Lipton; Eva Atsidaftos; Bertil Glader; Anupama Narla; Pierre-Emmanuel Gleizes; Marie-Françoise O'Donohue; Nathalie Montel-Lehry; David J Amor; Steven A McCarroll; Anne H O'Donnell-Luria; Namrata Gupta; Stacey B Gabriel; Daniel G MacArthur; Eric S Lander; Monkol Lek; Lydie Da Costa; David G Nathan; Andrei A Korostelev; Ron Do; Vijay G Sankaran; Hanna T Gazda
Journal:  Am J Hum Genet       Date:  2018-11-29       Impact factor: 11.025

Review 2.  Omics Studies in Hemoglobinopathies.

Authors:  Eleni Katsantoni
Journal:  Mol Diagn Ther       Date:  2019-04       Impact factor: 4.074

3.  Diagnosis of the accurate genotype of HKαα carriers in patients with thalassemia using multiplex ligation-dependent probe amplification combined with nested polymerase chain reaction.

Authors:  Dong-Mei Chen; Shi Ma; Xiang-Lan Tang; Ji-Yun Yang; Zheng-Lin Yang
Journal:  Chin Med J (Engl)       Date:  2020-05-20       Impact factor: 2.628

4.  Molecular characterization of β-thalassemia intermedia in the West Bank, Palestine.

Authors:  Rashail Faraon; Mahmoud Daraghmah; Fekri Samarah; Mahmoud A Srour
Journal:  BMC Hematol       Date:  2019-02-18

Review 5.  Applications of next generation sequencing in the screening and diagnosis of thalassemia: A mini-review.

Authors:  Syahirah Amnani Suhaimi; Ihsan Nazurah Zulkipli; Hazim Ghani; Mas Rina Wati Abdul-Hamid
Journal:  Front Pediatr       Date:  2022-09-29       Impact factor: 3.569

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.