Literature DB >> 28546763

Mutation analysis of β-thalassemia in East-Western Indian population: a recent molecular approach.

Parth S Shah1, Nidhi D Shah2, Hari Shankar P Ray3, Nikunj B Khatri3, Ketan K Vaghasia3, Rutvik J Raval4, Sandip C Shah3, Mandava V Rao5.   

Abstract

BACKGROUND: β-Thalassemia is the most prevalent genetic disorder in India. Its traits and coinheritance vary from mild to severe conditions, resulting in thalassemia minor, intermediate, and major, depending upon many factors.
PURPOSE: The objective of this study was to identify the incidence of β-thalassemia traits, their coinheritance, and mutations, as well as to support the patients already diagnosed with β-thalassemia in East-Western Indian population for better management. PATIENTS AND METHODS: Seventy-five referral cases for β-thalassemia were analyzed for various β-thalassemia traits, heterozygosity, and homozygosity conditions. Blood phenotypic parameters using cell counter and capillary electrophoresis were investigated. Analyses of eight common mutations of thalassemia in India were carried out using polymerase chain reaction-amplification refractory mutation system, end point polymerase chain reaction, and DNA sequencing methods.
RESULTS: Of these (75) referral cases from East-Western Indian region, 68 were positive for β-thalassemia (90.67%). The majority of case types were of β-thalassemia minor (49, 65.33%), followed by HbE traits (6, 8.0%) and β-thalassemia major, including heterozygous and homozygous (5, 6.66%; 4, 5.33%) types and then HbE homozygous (2, 2.66%), as well as one each of the HbE/β-thalassemia and HbD/β-thalassemia (1, 1.34%) combination. Mutation analysis also revealed that the highest frequency of mutation was c.92+5G>C (41, 60.29%) followed by deletion 619bp (9, 13.23%) and c.79G>A (8, 11.76%) in our study group. Five cases (nos. 24, 27, 33, 58, and 71) exhibited coinheritance between β0/β+ (2), β0/β D (1), and c.124_127delTTCT/β+ or β0(2) affecting the Rajasthani and Gujarati populations in our study of the Western region of India.
CONCLUSION: We strongly recommend these Western populations for genetic screening before adopting reproductive technologies and interracial marital relations.

Entities:  

Keywords:  DNA sequencing; East-Western India; PCR-ARMS; capillary electrophoresis; coinheritance; hematogram; mutation analysis; β-thalassemia traits

Year:  2017        PMID: 28546763      PMCID: PMC5436775          DOI: 10.2147/TACG.S127531

Source DB:  PubMed          Journal:  Appl Clin Genet        ISSN: 1178-704X


Introduction

β-Thalassemia is one of the hemoglobinopathies belonging to a class of genetic disorders. It occurs due to mutation in β-gene of autosomal chromosome 11.1 The incidence of β-thalassemia trait in India is 3.3% with 1%–7% of couples being affected annually.2 Approximately 300 mutations would occur in this type, affecting β-chain globin synthesis. If the synthesis of two β-chains is absent (β0/β0), the person has β-thalassemia major (Cooley’s anemia). This condition follows severe microcytic and hyochromic anemia. The person requires lifelong transfusion. β-Thalassemia minor is asymptomatic and results in microcytosis and mild anemia and HbA2 level increases, designated as β+/β or β0/β. Usually thalassemia intermedia is a condition between the major and minor forms depending on the severity of the anemic condition (β+/β+/or β0/β+) among other cases.3,4 Others are HbE trait, HbE homozygous, HbD/β-thalassemia, and HbE/β-thalassemia hemoglobinopathies. The latter one, HbE/β-thalassemia, is maximum in Thailand.5 The gene mutation takes place in another one of β-gene only in addition to β-thalassemia minor/allele (β0/β or β+/β), leading to coin-heritance. In India, such coexisting HbE/β-thalassemia and HbD/β-thalassemia are less debated and occur in some parts of India, Pakistan, and Iran.6,7 Recently, a report was published in Eastern Indian population about the status of thalassemia and hemoglobinopathies and suggested that more such studies are necessary in other regions of India.8 Prevalence of common hemoglobinopathies in Gujarati population was documented by Patel et al9 in screening programs, where β-thalassemia minor cases were maximum comparatively. Hence, we report β-thalassemia, HbE, HbD traits, and their coinheritance as well as the mutation analysis of β-thalassemia distribution in East-Western Indian population using electrophoresis, polymerase chain reaction-amplification refractory mutation system (PCR-ARMS), end point PCR, and gene sequencing technology in our study.

Patients and methods

Patient selection

Blood samples of 75 referral cases of both sexes varying in age from 6 months to 38 years were collected from Gujarat (17), Rajasthan (40), Maharashtra (7), Assam (3), and West Bengal (6) in India for β-thalassemia testing after duly filling the patient consent form in our Supratech Micropath Research Institute, Ahmedabad. These patients were referred at random. This project was approved by Human Ethical Committee (HEC) of Gujarat University, Ahmedabad (GU/HEC-001/15), in 2015 for investigation.

Hematological analysis and DNA extraction

Hematogram report was carried out on CELL DYN RUBY automated cell counter. Hemoglobin (Hb) levels were estimated by Sebia Capillary 2 Flex piercing electrophoresis. The DNA was extracted from 2 mL of EDTA blood using PerkinElmer Prepito DNA Blood 250 Kit automatic machine. The kit was used according to the manufacturer’s instructions. The extracted genomic DNA was used as a template and was kept at 4°C until further use after routine DNA check.

Amplification, purification, and cycle sequencing

The primers were synthesized from the Eurofins, India. The amplification reaction was performed in Veriti Thermal Cycler. The PCR products were loaded on a 2.5% agarose gel, and the amplicons were visualized under ultraviolet transillumination after staining with ethidium bromide. PCR product cleanup using USB ExoSAP-IT kit (Affymetrix, Santa Clara, CA, USA) and cycle sequencing using BigDye Termi-natorV3.1 cycle sequencing kit (Applied Biosystems, Foster City, CA, USA) were used for further mutation identification.

Mutation analysis

The β-globin gene mutations were first characterized using two sets of allele-specific PCR-ARMS to detect eight common mutations in India including c.92+5G>C, deletion 619 bp, c.79G>A (p.E27K), c.47G>A (p.Trp16Ter), c.364G>C (p.E122Q), c.27_28insG, c.51delC, and c.124_127delTTCT. Unknown β-thalassemia genes were further characterized by direct DNA sequencing using 3500 Genetic Analyzer Applied Biosystems (ABI) for all coding regions and exon–intron boundaries to detect uncommon point mutations and small rearrangements in the β-globin gene. The c.92+5G>C mutation was detected by Sanger sequencing and PCR-ARMS, and deletion 619 bp was done by end point PCR (gel electrophoresis). Other mutations were analyzed only by Sanger sequencer. The data were analyzed using CodonCode Aligner v5.0.2 (CodonCode Corporation, Centerville, MA, USA) and Mutation Surveyor v5.0 (Softgenetics, State College, PA, USA). Mean and percentage were calculated wherever necessary.

Results

β-Thalassemia and other traits

Referral cases of 75 at our Supratech Micropath Research Institute, Ahmedabad, from 2015 to 2016 were analyzed for β-thalassemia and other traits based on Hb levels blood indices and mutation analysis from different parts of India. The affected (68) contributed 90.67% of the referral cases. High percentage (65.33%) had β-thalassemia followed by HbE trait (8%) and β-thalassemia major (heterozygous 6.66%; homozygous 5.33%). Others were HbE homozygous (2.66%), HbE/β-thalassemia, and HbD/β-thalassemia contributed only 1.34% each. Thus, 49 cases (65.33%) had β-thalassemia minor followed by HbE trait (8%) and β-thalassemia major (compound heterozygous 6.66% and homozygous 5.33%). Two were HbE homozygous (2.66%) and HbE/β-thalassemia and HbD/β-thalassemia contributed only 1.34% each. These hemoglobinopathies are well supported by increased levels of mean HbA2 (08.66%) with decreased mean corpuscular hemoglobin (MCH), mean corpuscular volume values, and altered mean HbD (1.25%), HbF (7.21%), and HbE (2.73%) levels, measured by capillary electrophoresis (Tables 1 and 2 and Figure 1).
Table 1

Classification of thalassemia traits in our study

NosTypes of thalassemia traitsCharacteristicsCasesPercentage
1β-thalassemia minorIncreased HbA2 with ↓ MCV and ↑ RDW4965.33
2HbE trait↑ HbA2/E, HbF, and ↓ HbA and ↑ RDW68.00
3β-thalassemia major (compound heterozygous)↑ HbA2 with ↓ MCV, ↑ HbF, and ↑ RDW56.66
4β-thalassemia major (homozygous)↑ HbA2 with ↓ MCV,↑ HbF, and ↑ RDW45.33
5HbE homozygous↑ HbA2/E, HbF, and ↓ HbA and ↑ RDW22.66
6Combination of HbE/β-thalassemia↑ HbA2/E, HbF, and ↓ HbA and ↑ RDW11.34
7Combination of Hb-D/β-thalassemia↑ HbAD, HbA2, and HbF ↑ (sometimes) and ↑ RDW11.34

Notes: Total cases 75; affected cases 68 (90.67%).

Abbreviations: ↑, increase; ↓, decrease; Hb, hemoglobin; HbF, fetal hemoglobin; MCV, mean corpuscular volume; RDW, red blood cell distribution width.

Table 2

Sex wise distribution of Hb variants and mutations in our study

NosAge, yearsSexHbA (%)MCV (fL)MCH (pg)RDW (%)HbA2 (%)HbE (%)HbF (%)HbD (%)MutationsGenotypeInference/clinical reportTechnique(s)
124Female94.3075.0024.0014.605.000.00.70c.92+5G>CB+β-thalassemia minorSS and PCR-ARMS
227Male94.5067.0018.2017.004.700.00.80c.47G>A (p.Trp16Ter)B0β-thalassemia minorSS
325Female93.9569.5020.8017.105.400.00.65c.92+5G>CB+β-thalassemia minorSS and PCR-ARMS
428Male93.7575.5018.4041.305.400.00.85c.92+5G>CB+β-thalassemia minorSS and PCR-ARMS
525Female94.6169.0021.0017.804.800.00.59c.92+5G>CB+β-thalassemia minorSS and PCR-ARMS
65Female65.6569.9018.5015.1033.600.00.75c.92+5G>CB++β-thalassemia minorSS and PCR-ARMS
728Male94.3568.0021.0018.004.700.95c.92+5G>CB+β-thalassemia minorSS and PCR-ARMS
828Female93.4076.4023.8015.605.401.20c.92+5G>CB+β-thalassemia minorSS and PCR-ARMS
930Male92.5075.0022.4014.706.600.90Not detected*β/βNormalSS and GE
1025Female93.9574.9018.6015.005.001.05c.92+5G>CB+β-thalassemia minorSS and PCR-ARMS
1130Male96.8079.9028.0014.002.600.60Not detectedβ/βNormalSS and GE
1233Female66.5071.0027.9014.6022.969.840.70c.79G>A (p.Glu27Lys)βEHbE traitSS
1333Male92.8070.1020.9016.906.600.60c.47G>A (p.Trp16Ter)β0β-thalassemia minorSS
1420Female94.5568.6018.5016.204.700.75c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
1528Male94.0076.3019.4017.405.200.80c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
166Male87.5067.0018.1019.402.2010.30c.92+5G>Cβ++β-thalassemia minorSS and PCR-ARMS
1726Female93.8068.5019.4016.205.700.50619 bp deletionβ0β-thalassemia minorGE
1828Male95.2068.3020.8015.504.600.20c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
191Female94.9070.2019.2016.902.702.40c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
2029Male17.9067.5018.4016.3068.9012.700.50c.79G>A (p.E27K)βEHbE traitSS
2124Female66.1569.0027.8014.5023.5210.080.25c.79G>A (p.Glu27Lys)βEHbE traitSS
2231Male94.3574.2021.0016.405.200.45c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
2327Female93.4567.0022.8017.705.900.65c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
241Male6.7069.2021.4038.203.3090.0c.47G>A (p.Trp16Ter) and c.92+5G>Cβ0/β+β-thalassemia minorSS and PCR-ARMS
2530Male95.5573.9021.5015.904.200.25c.47G>A (p.Trp16Ter)β0/ββ-thalassemia minorSS
2635Female93.7069.5020.8017.205.700.60c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
275Male4.0066.9018.5015.9058.8025.8011.40c.79G>A (p.Glu27Lys) and c.92+5G>Cβ0/β+β-thalassemia minorSS and PCR-ARMS
2830Female93.2068.0022.3016.606.200.60c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
2932Female2.9067.3018.2017.0061.8028.207.10c.79G>A (p.Glu27Lys)β E/βHbE traitSS
304Male4.0069.5021.6037.501.1094.90c.51delCβ0/ββ-thalassemia minorSS
3126Female93.5066.4021.7018.205.900.60c.27_28insGβ0/ββ-thalassemia minorSS
322Female1.4065.3018.4016.702.2096.40c.27_28insGβ00β-thalassemia minorSS
3327Male1.5575.3022.8016.303.800.2594.40c.27_28insG and c.364G>C (p.E122Q)β0DHbD/β-thalassemiaSS
3427Female96.1070.3021.9017.203.600.30619 bp deletionβ0/ββ-thalassemia minorGE
3530Male95.4068.5021.2017.704.100.50619 bp deletionβ0/ββ-thalassemia minorGE
3627Female94.7562.2020.4016.804.800.45c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
3730Male93.6564.2019.6015.705.800.55c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
3823Female93.4569.8022.5014.706.200.35c.47G>Aβ0/ββ-thalassemia minorSS
3926Male97.1075.9024.5013.402.800.10Not detectedβ/βNormalSS and GE
4029Female94.9568.9022.3016.904.800.2592+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
4131Male96.1069.3020.5015.703.900.0092+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
425Female94.7569.7022.4015.805.000.2592+5G>Cβ++β-thalassemia minorSS and PCR-ARMS
438Female80.0068.5021.6016.8014.006.000.00c.79G>Aβ EHbE traitSS
4431Female94.2764.2019.5015.805.280.45c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
4533Male93.0069.4020.4017.806.600.40c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
464Female3.7067.0019.2015.501.6094.70c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
4733Female94.4069.5020.7017.605.400.20619 bp deletionβ0/ββ-thalassemia minorGE
4835Male94.5064.1019.7016.905.200.30619 bp deletionβ0/ββ-thalassemia minorGE
4930Female95.6063.1019.9016.004.200.20c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
5032Male94.8070.0020.1015.804.800.40c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
5126Female94.4068.9019.4017.104.900.70c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
5226Male94.6569.9020.3017.604.800.55c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
53½Female94.7068.1018.9017.902.402.90c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
5435Female91.1069.5020.8017.008.200.70Not detected*SS and GE
5538Male91.5063.1019.5016.007.900.60Not detected*SS and GE
564Female94.5075.0023.1014.005.000.50Not detected*SS and GE
575Female93.3075.6025.0014.106.100.60Not detected*SS and GE
5822Female93.8069.0021.4038.205.800.40c.124_127delTTCT** and c.92+5 G>C**+β-thalassemia minorSS and PCR-ARMS
5926Male94.3063.2019.5016.105.200.50c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
6029Female93.5567.4019.1017.806.100.35619 bp deletionβ0/ββ-thalassemia minorGE
6130Female93.9569.1021.8017.805.500.55619 bp deletionβ0/ββ-thalassemia minorGE
6228Female94.0069.0021.4038.205.400.60619 bp deletionβ0/ββ-thalassemia minorGE
6330Male93.6069.4020.7017.005.900.50c.27_28insGβ0/ββ-thalassemia minorSS
6427Female94.4069.0021.8017.405.200.40c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
6530Male94.3067.1018.2019.105.000.70c.27_28insGβ0/ββ-thalassemia minorSS
6624Male93.2069.0021.7017.806.100.70619 bp deletionβ0/ββ-thalassemia minorGE
6726Male91.7562.4019.9018.207.900.35c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
6826Female94.3568.9020.9017.604.900.75c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
6923Male93.8073.9020.1014.605.500.70c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
7027Female94.4074.3019.3015.905.000.60c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
7124Male0.072.9021.0014.503.4096.60c.51_51delC and c.124_127delTTCT**β0/**β-thalassemia minorSS
7226Male94.2068.4021.0014.005.200.60c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS
7327Female69.8074.2020.3014.4020.738.970.50c.79G>A (p.E27K)βEHbE traitSS
7428Male68.4070.2021.8016.9021.709.300.60c.79G>A (p.E27K)βEHbE traitSS
7527Male95.4064.2020.1016.403.900.70c.92+5G>Cβ+β-thalassemia minorSS and PCR-ARMS

Notes: Total cases: 75; age range (1/2 to 38 years). Case nos: 24, 27, 33, 58, and 71 had double mutations (compound heterozygous). Mean HbA = 81.37 (96.8%–97.8%), mean MCV = 69.53 (83–100 fL), mean MCH = 20.92 (27–32 pg), mean RDW = 17.85 (11.5%–14.5%), mean HbA2 = 8.66 (2%–3.5%), mean HbE = 2.73% (absent), HbD = 1.25% (absent), and HbF = 7.21 (0.0%–1.0%). Figures in parentheses indicate normal range/values.

Large deletion and duplication are not identified in our study.

Genotype novel.

Abbreviations: GE, gel electrophoresis; Hb, hemoglobin; MCV, mean corpuscular volume; PCR-ARMS, polymerase chain reaction-amplification refractory mutation system; RDW, red blood cell distribution width; SS, Sanger sequencing.

Figure 1

Percentage (%) distribution of β-thalassemia traits.

We have analyzed conventional mutations of eight in Indian population using PCR-ARMS and end point PCR allayed with using Codon code Aligner V6.0.2 and mutation survey 5.0 software for exact specific mutation nomenclature from 68 affected cases. The data showed that c.92+5 G>C was higher (41, 60.29%), followed by nine cases of deletion 619 bp (13.23%), eight cases of c.79G>A (p.E27K) (11.76%), and five cases each of c.27_28insG (7.35%) and c.47G>A (p.Trp16Ter) (7.35%) with two cases each of c.124_127delTTCT (2.94%) and c.51delC (2.94%) and one case each of c.364G>C (p.E122Q) and c.47G>A (p.Trp16Ter) (1.47%), respectively, with no sex difference as female and male ratio was (1:1.13) (Table 3). Deletion 619 bp was only detected by gel electrophoresis, and c.92+5G>C was identified using PCR-ARMS and also gene sequencing as that of others (Figure 2A–G). In Rajasthan and Gujarat, where more are accumulated (40 and 17) respectively, in both cases, the most frequent mutation is c.92+G>C (26 and 10) followed by 619 bp (3 and 4) and 619 bp deletions (Table 3 and Figure 3).
Table 3

Percentage of mutation types in our thalassemic cases (68) of different regions

NosMutation typesMutation nos (73)*Male (34)Female (39)Mutation percentageRegion (state) wise mutation
1c.92+5G>C41182360.29Rajasthan 26, Gujarat 10, West Bengal 3, Maharashtra 2
2619 bp deletion93613.23Gujarat 4, Rajasthan 3, Maharashtra 2
3c.79G>A (p.E27K)84411.76Assam 3, Rajasthan 2, Maharashtra 1, West Bengal 2
4c.47G>A (p.Trp16Ter)5417.35Gujarat 2, Rajasthan 2, Maharashtra 1
5c.364G>C (p.E122Q)1101.47Rajasthan 1
6c.27_28insG5237.35Rajasthan 2, Gujarat 1, Maharashtra 1, West Bengal 1
7c.51delC2201.47Rajasthan 2
8c.124_127delTTCT2021.47Rajasthan 2

Notes: State/region wise mutations: Rajasthan: 40, Gujarat: 17, Maharashtra: 7 (Western India: 40 + 17 + 07 = 64), West Bengal: 6, Assam: 3 (Eastern India: 06 + 03 = 09).

Five with compound heterozygous (double mutations); M:F = 1:1.13 (32/36 = 68).

Abbreviations: F, female; M, male.

Figure 2

Seven common mutations identified by direct DNA sequencing.

Notes: (A) c.92+5G>C, (B) c.79G>A (p.E27K), (C) c.47G>A (p.Trp16 Ter), (D) c.364G>C (p.E122Q), (E) c.27_28insG, (F) c.51delC, and (G) c.124_127delTTCT. Nucleotide colors: A = green, T = red, G = black, and C = blue.

Abbreviations: S, G/C; R, G/A; K, G/T; M, C/A; Y, C/T.

Figure 3

Region wise percentage distribution of mutations in β-thalassemia and numbers in parentheses indicate cases.

Discussion

β-Thalassemia is one of the heterozygous inheritable disorders in India. It causes reduced or absence of β-chain synthesis of Hb. Its variants in addition to carrier identification and prenatal analysis are necessary for its management and to avoid marriages between carrier of mutated genes including consanguineous types.4,10–12 Hence, from 75 referral cases of Western and Eastern India, the blood was collected to identify various traits and mutations accurately using electrophoretic and molecular diagnostic techniques in our laboratory including coinheritance with β-thalassemia. Of the total referral patients, 68 cases were affected having 90.67% in this study. Of these, 65.33% of β-thalassemia traits (49) were detected followed by HbE trait and β-thalassemia major with HbE homozygous and their HbE/β-thalassemia and HbD/β-thalassemia coinherited cases depending on altered Hb, MCH, red blood cell distribution width, and MCV values. It indicated that β-thalassemia cases (carriers) are maximum followed by others and support the data of previous workers in India.13–16 Similarly, Hb patterns were measured and presented in the study of Mondal and Mandal,8 who obtained few cases of HbE, HbD traits, and β-thalassemia major comparatively. This could be due to changing lifestyles, environmental and genetic factors, and coinheritance of HbE, HbD, and/or α-thalassemia with β-thalassemia carriers.17,18 Further, these factors may also be the cause of β-thalassemia major with heterozygosity/homozygosity who are less in number requiring blood transfusion. Similarly, coinheritance of HbE/β-thalassemia and HbD/β-thalassemia and HbE homozygous cases were also reduced in number in our report. HbE trait had six cases having less severity of clinical condition. However, Olivieri et al17 mentioned that these conditions may vary from severe to mild depending upon genetic and environmental factors, and such patients are also less frequent to support our data. We detected one each of HbD/β-thalassemia and HbE/β-thalassemia cases in addition to HbE patients with variable phenotypic indices expressing mild heterozygous state.19–22 These patients may require transfusion in severe condition only, due to coinheritance of the disease.23 Further, we extended our investigation on molecular analysis of mutations of β-thalassemia and systematically using latest molecular biology tools such as PCR-ARMS, end point PCR, and Sanger Gene Sequencing. Data revealed 92+5 G>C (IVS-1–5) is the maximum in cases (60.29%), of Rajasthan and Gujarat followed by deletion 619 bp and is conformed with others documented earlier in Gujarat, Maharashtra, and Rajasthan.2,9,12,15,24–26 But Hassan et al,27 from Thailand, found cd26 (A–G) HbE and cd41/42 (−TTCT) were higher in their studies. Thong et al28 presented cd41/42 (−TTCT) and IVS-2 654 (C–T) were maximum in Chinese population. Similarly, second highest mutation was 619 bp in (9, 13.23%) this study similar to that of other studies in Western India conducted by Sheth et al,10 Grow et al,13 Colah et al,29 and Nigam et al.16 The third largest mutation in our study was c.79G>A (p.E27K) followed by c.47G>A (p.Trp16Ter) and c.27_28insG different from other investigators,2 followed by other mutations, ie, c.51delC, c.124_127delTTCT(novel), and c.364G>C (p.E122Q). The incidence of these mutations does not seem to be related to sex, as our sex ratio was 1:1.13 (M:F). The variation in occurrence of these mutations is related to regional, ethical, migration, interracial marriages, study plan, and other factors as mentioned by others.12,29,30

Conclusion

Our study showed that 68 cases were affected by β-thalassemia in our referral cases (75), from East-Western Indian region. β-Thalassemia carriers were 49 (65.33%) followed by HbE trait and β-thalassemia major with heterozygous and homozygous condition using hematological profiles. Detection of molecular analysis of mutations using PCR-ARMS, end point PCR, and gene sequencing methods revealed c.92+5G>C mutation exhibited higher incidence (26+10+2) followed by deletion 619 bp (3+4+2) in Rajasthan, Gujarat, and Maharashtra (Western India) as compared to West Bengal and Assam (3:0; 0:0) of Eastern India, respectively. This requires further elucidation. The variation in incidence of these mutations is dependent on ethnic diversity, migration, genetic factors, and other lifestyles. We, hence, recommend the mass screening, Prenatal Diagnostic Techniques, genetic counseling, transfusion programs and clinical management made available to these populations before adopting assisted reproductive and preimplantation technologies in India.
  19 in total

1.  Epidemiology of beta-thalassaemia in Western India: mapping the frequencies and mutations in sub-regions of Maharashtra and Gujarat.

Authors:  Roshan Colah; Ajit Gorakshakar; Supriya Phanasgaonkar; Edna D'Souza; Anita Nadkarni; Reema Surve; Pratibha Sawant; Dilip Master; Ramesh Patel; Kanjaksha Ghosh; Dipika Mohanty
Journal:  Br J Haematol       Date:  2010-03-03       Impact factor: 6.998

2.  Characterisation of beta-globin gene mutations in Malaysian children: a strategy for the control of beta-thalassaemia in a developing country.

Authors:  Meow-Keong Thong; J A M A Tan; K L Tan; S F Yap
Journal:  J Trop Pediatr       Date:  2005-06-20       Impact factor: 1.165

3.  Regional heterogeneity of beta-thalassemia mutations in the multi ethnic Indian population.

Authors:  Roshan Colah; Ajit Gorakshakar; Anita Nadkarni; Supriya Phanasgaonkar; Reema Surve; Pratibha Sawant; Dipika Mohanty; Kanjaksha Ghosh
Journal:  Blood Cells Mol Dis       Date:  2009-02-28       Impact factor: 3.039

4.  Compound heterozygosity for Hb D-Punjab / β-thalassemia and blood donation: case report.

Authors:  Stamatia Theodoridou; Michael Alemayechou; Parthena Perperidou; Clio Sinopoulou; Theano Karafoulidou; Georgia Kiriakopoulou
Journal:  Turk J Haematol       Date:  2009-06-05       Impact factor: 1.831

5.  Inherited haemoglobin disorders: an increasing global health problem.

Authors:  D J Weatherall; J B Clegg
Journal:  Bull World Health Organ       Date:  2001-10-24       Impact factor: 9.408

6.  Beta-thalassemia mutations in western India.

Authors:  J J Sheth; F J Sheth; Pooja Pandya; Rashi Priya; Sejal Davla; Chitra Thakur; Vaz Flavin
Journal:  Indian J Pediatr       Date:  2008-08-31       Impact factor: 1.967

Review 7.  Invasive & non-invasive approaches for prenatal diagnosis of haemoglobinopathies: experiences from India.

Authors:  R B Colah; A C Gorakshakar; A H Nadkarni
Journal:  Indian J Med Res       Date:  2011-10       Impact factor: 2.375

Review 8.  Hb E/beta-thalassaemia: a common & clinically diverse disorder.

Authors:  Nancy F Olivieri; Zahra Pakbaz; Elliott Vichinsky
Journal:  Indian J Med Res       Date:  2011-10       Impact factor: 2.375

9.  Prevalence of thalassemia and hemoglobinopathy in eastern India: A 10-year high-performance liquid chromatography study of 119,336 cases.

Authors:  Santosh Kumar Mondal; Saikat Mandal
Journal:  Asian J Transfus Sci       Date:  2016 Jan-Jun

Review 10.  Beta-thalassemia.

Authors:  Antonio Cao; Renzo Galanello
Journal:  Genet Med       Date:  2010-02       Impact factor: 8.822

View more
  6 in total

1.  Prevalence and molecular spectrum of α- and β-globin gene mutations in Hainan, China.

Authors:  Zhen Wang; Wenye Sun; Huaye Chen; Yongfang Zhang; Fei Wang; Hongjian Chen; Yao Zhou; Yanhua Huang; XiXi Zhou; Qi Li; Yanlin Ma
Journal:  Int J Hematol       Date:  2021-06-30       Impact factor: 2.490

2.  Disrupting the adult globin promoter alleviates promoter competition and reactivates fetal globin gene expression.

Authors:  Sarah K Topfer; Ruopeng Feng; Peng Huang; Lana C Ly; Gabriella E Martyn; Gerd A Blobel; Mitchell J Weiss; Kate G R Quinlan; Merlin Crossley
Journal:  Blood       Date:  2022-04-07       Impact factor: 22.113

3.  Molecular Determination of Vascular Endothelial Growth Factor, miRNA-423 Gene Abnormalities by Utilizing ARMS-PCR and Their Association with Fetal Hemoglobin Expression in the Patients with Sickle Cell Disease.

Authors:  Abdullah Hamadi; Rashid Mir; Ali Mahzari; Abdulrahim Hakami; Reema Almotairi; Gasim Dobie; Fawaz Hamdi; Mohammed Hassan Nahari; Razan Alhefzi; Mohammed Alasseiri; Nora Y Hakami; Hadeel Al Sadoun; Osama M Al-Amer; Jameel Barnawi; Hassan A Madkhali
Journal:  Curr Issues Mol Biol       Date:  2022-06-01       Impact factor: 2.976

4.  Evaluation of amplification refractory mutation system (ARMS) technique for quick and accurate prenatal gene diagnosis of CHM variant in choroideremia.

Authors:  Lisha Yang; Iqra Ijaz; Jingliang Cheng; Chunli Wei; Xiaojun Tan; Md Asaduzzaman Khan; Xiaodong Fu; Junjiang Fu
Journal:  Appl Clin Genet       Date:  2017-12-19

Review 5.  Molecular genetics of β-thalassemia: A narrative review.

Authors:  Tang-Her Jaing; Tsung-Yen Chang; Shih-Hsiang Chen; Chen-Wei Lin; Yu-Chuan Wen; Chia-Chi Chiu
Journal:  Medicine (Baltimore)       Date:  2021-11-12       Impact factor: 1.817

6.  The Effect of Xmn -1 Polymorphism and Coinheritance of Alpha Mutations on Age at First Blood Transfusion in Iranian Patients with Homozygote IVSI-5 Mutation.

Authors:  Mozhgan Hashemieh; Zahra Al Sadat Saadatmandi; Azita Azarkeivan; Hossein Najmabadi
Journal:  Int J Hematol Oncol Stem Cell Res       Date:  2022-01-01
  6 in total

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