Abstract
The southern part of Saudi Arabia has an ethnically diverse population where sickle-cell anemia (sickle cell disease) is common, but little is known about its βs haplotypes. The goal of the current study is to ascertain the prevalence of the Hb S gene with analysis of Xmn1 ′5 to Gγ haplotype among the Saudi population in the Jazan area. Initially recorded findings of (1) Hb S gene and (2) hematological parameters with Hb F levels were collected from 5990 participants. Then, the second series of 70 different patients with established sickling disease and 30 healthy individuals as a control group was recruited, in which the genotype of Xmn1 ′5 to Gγ-SNP was performed by PCR-RFLP. In the first series, the prevalence of Hb types was AA at 86.8% (N = 5198), AS at 12.4% (N = 745), and SS at 0.8% (N = 47). Of the second series, three patients (4.3%) were (±) Xmn1 ′5 to Gγ and 67 (95.7%) were (−/−) in Xmn1 ′5 to Gγ. In the controls, the (±) Xmn1 ′5 to Gγ was observed in only one individual (3.3%), aged 30. These findings possibly represent a new Saudi haplotype, [±] Xmn1 ′5 to Gγ. Our results demonstrate that most patients with SCD in Jazan have [−/−] Xmn1 with higher levels of Hb F and positive Xmn1 ′5 to Gγ normally associated with a low level of Hb F.
1. Introduction
Hemoglobin (Hb) S is the type of qualitative Hb abnormalities that have been reported as common in southern and western parts of Saudi Arabia [1, 2]. A study found that Hb S has a much higher incidence in Saudi Arabia (2–27%) [3] compared with some areas of the Arabian Peninsula [4]and Jordan (0.44%) [5]. On the other hand, Hb AS frequency is high in Bahrain states (11–18%) (11–18%) [6] and Kuwait (6%) [7]. Sickle cell anemia (SCA) is a particularly common genetic disorder in some parts of Saudi Arabia [2, 8]. The polymorphism in the β chain of Hb S and patient prognosis can be predicted by combining the levels of Hb F with a determination of which Xmn1 ′5 to Gγ is present [9]. High levels of the former can interact with the latter to reduce disease severity [10]. Five different βs haplotypes are named after the geographical area where they prevail [7]. They are designated as Senegal, Benin, Bantu, Cameroon, and Arab-Indian haplotypes. The latter was discovered with the presence of Xmn1 ′5 to Gγ in the Arabian Gulf region and India with fewer clinical symptoms as the Hb F is present in high levels in comparison with the haplotypes in Africa [8, 9]. The Senegal and Arab-Indian haplotypes are positive in Xmn1 ′5 to Gγ, having the same mutation (C--T) and also a high level of Hb F as well [8, 10]. These haplotypes are used as genetic markers for the phenotypic heterogeneity of patients with SCA.
Multiple techniques are used for Hb S detection, including blood morphology, special tests (sickling and solubility), electrophoresis (alkaline and acid), isoelectric focusing, cation exchange high performance liquid chromatography (CE-HPLC), and molecular genetics [11]. This latter is a foundational technique commonly used in DNA analysis for βs haplotype identification, detecting the type of mutation. It included restriction fragment length polymorphism (RFLP), allele specific oligonucleotide (ASO), and amplification refractory mutation system (ARMS), LAMP assay and DNA sequencing [12, 13]. RFLP was used in this study for detecting βs haplotypes among Saudi patients with the S gene in the Jazan area.
SCA is a type of Hb variant, most commonly detected in most African and Asian countries, including Saudi Arabia, where it is a special problem in many areas [3, 5]. There is a polymorphism in the β-globin gene of Hb S, and patient prognosis can be predicted by combining the Hb F levels with a determination of which βs haplotypes are present [9, 10]. High levels of the former can act with the latter to alleviate disease severity and in turn lower mortality rate [10, 13, 14]. Approximately 95% of βs haplotypes are denoted “typical” and the remainder atypical βs haplotypes [15]. The former group includes the five types mentioned above, while the latter rarely occurs and may originate from a Benin or Bantu chromosome by only one mutation at the 5′ end [14]. All these forms are responsible for SCA with varying degrees of clinical symptom [14–18]. Thus, the objective of the current research is to ascertain the prevalence of the S gene by analysis of the Xmn1 ′5 to Gγ haplotype in a Saudi population from the Jazan area.
The study population in the second series was performed on 100 participants, involving 70 patients with SCD and 30 healthy individuals as controls. Participants were screened during a premarital program in King Fahad Central Hospital in the Jazan region, Saudi Arabia, from January to December 2018. The collected information was retained confidentially, and data with the potential to reveal participant identities was omitted. The ethical committee of Jouf University approved the research.
2. Research Investigations
The level of Hb F has not been influenced by age, as all participants of the study were young adults recruited from the premarital centre. Hb variants, namely, Hb S, Hb A, Hb F, and Hb A2, were detected quantitatively, using the chromatography technique. Hematology analyser performed blood profiles, namely, hemoglobin (Hb), packed cell volume (PCV), mean cell volume (MCV), mean cell Hb (MCH), mean cell Hb concentration (MCHC), and red blood cell (RBC).
The polymorphism of Xmn1 γG globin tests (−158C > T) was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and with Xmn1 as a restriction enzyme. The process involved a buffy coat to extract genomic DNA, standardized primers, and a UV NanoDrop 2000. DNA purity was initially quantified for each specimen before further analysis. Primers used were 5-AAC-TGT-TGC-TTT-ATA-GGA-TTTT-3 and 5-AGG-AGCTTATTGATAACCTCAGAC-3, which amplified the region from 5 to the γG gene, which is a 650-bp fragment as described by Moez et al. [9]. Amplified products were then subjected to Xmn1 restriction for fragment visualization. Fragments visualized were GAA NN↑NN TTC 3 and 3 CTT NN↑NN AAG5 and these were classified into three polymorphisms: the homozygous state (CC) as a wild-type allele, the heterozygous form (CT), and the homozygous state (TT).
3. Statistical Analysis
Findings were examined using the SPSS, Version 25 (https://www.ibm.com/products/spss-statistics). Genotype distribution between SCD patients and the controls was compared using the Fisher exact test to count data. The odds ratios (OR) for genotypes of Xmn1 ′5 to Gγ frequency in all subjects were 95% confidence interval (CI). We considered P < 0.05 to be statistically significant.
4. Ethical Consideration
This research was approved by the Jouf University, Ethics Committee, No. 39/9-19-4.
5. Results
Haemogram indices in individuals with the S gene against the control group were as follows:
Mean blood profiles for healthy individuals with normal parameters [5198 (86.8%)] were Hb 15.8 g/dL, PCV 46.6%, MCV 83.3 fL, MCH 26.2 pg, MCHC 37.1 g/dL, and RBC 4.6 × 103/cmm.
Mean blood profiles for participants with Hb SS and Hb AS were Hb 8.1 and 12.6 g/dL, PCV 26.7 and 37%, MCV 78.2 and 72.6 fL, MCH 25.6 and 26.7 pg, MCHC 35.6 and 36.2 g/dL, platelets 421 × 103 and 309 × 103/cmm, and RBC 3.2 × 106 and 3.8 × 106/cmm (Table 1). Our patient results were different compared to healthy individuals of Saudi Arabia [19].
Table 1.
Complete haemogram indices in sickle patients against the control group.
| Blood parameters | Control | Hb AS | Hb SS |
|---|---|---|---|
| RBC x 109/L (±SD) | 4.6 × 106 (0.5) | 3.8 × 106 (0.4) | 3.2 × 106 (±0.4) (a) |
| Hb g/dl (±SD) | 15.8 (2.2) (a) | 12.6 (1.1) (a) | 8.1 (1.2) (a) |
| MCH/pg (±SD) | 26.2 (1.1) (a) | 26.7 (1.5) (c) | 25.6 (2.1) (c) |
| MCHC g/dl (±SD) | 37.1 (1.1) (a) | 36.2 (1.6) (c) | 35.6 (1.8) (c) |
| PCV % (±SD) | 46.6 (4.2) (a) | 37.0 (5.6) (a) | 26.7 (4.2) (a) |
| MCV fl (±SD) | 83.3 (5.3) | 72.6 (6.5) (a) | 78.2 (7.9) (a) |
| RDW fl (±SD) | 42.1 (2.6) | 43.7 (3.5) | 83.8 (4.3) (a) |
| WBC x 109/L (±SD) | 5.6 (1.7) | 6.9 (1.3) | 12.7 (3.2) (a) |
| Neut% (±SD) | 47 (11) | 51 (15) | 62 (11) (a) |
| Lymph% (±SD) | 33 (9) | 34 (7) | 28 (9) |
| Mono% (±SD) | 8 (3.7) | 8.2 (2.4) | 8.9 (2.3) |
| Eosino% (±SD) | 3.4 (1.9) | 3.2 (2.1) | 2.7 (2.8) |
| Baso% (±SD) | 0.9 (1.2) | 0.9 (0.7) | 0.8 (0.5) |
| PLt x 109/L (±SD) | 245 (95) | 289 (114) (a) | 398 (125) (a) |
Key: significance determined by comparison of each group with control indices. (a) = P < 0.05; ∗Statistical significance is shown in parenthesis.
Differential counts of WBC in the study population were as follows:
Mean differential counts of WBC for healthy individuals with normal parameters [5198 (86.8%)] were WBC 5.6 × 103/cmm, neutrophil 47%, lymphocyte 33%, monocyte 8%, eosinophil 3.4%, and basophil 0.9%.
Mean differential counts of WBC for participants with Hb SS and Hb AS were WBC 12.7 × 103 and 6.9 × 103/cmm, neutrophil 62 and 51%, lymphocyte 28 and 34%, monocyte 8.9 and 8.2%, eosinophil 2.7 and 3.2%, and basophil 0.8 and 0.9%, respectively (Table 2).
Table 2.
Distribution of genotype of the Xmn1 ′5 to Gγ polymorphism in sickle patients and control subjects.
| Genotype (−158C > T) | Patients N (%) | Controls N (%) | OR | 95% CI | P value |
|---|---|---|---|---|---|
| CC (−/−) | 67 (95.7) | 29 (96.7) | 0.743 | 0.11–4.52 | 1 |
| CT (±) | 3 (4.3) | 1 (3.3) | |||
| TT (+/+) | 0 (0) | 0 (0) | 0 | 0 | 0 |
Platelet count among study participants: PLt counts in participants with Hb SS were significantly higher than in those with AA at 398 (125 × 109/L) with P value 0.05, as opposed to 245 (95 × 109/L) and AS, 289 (114 × 109/L). PLt counts were also found to be significantly higher in the latter compared to participants with Hb AA (Table 1).
Xmn1 ′5 to Gγ results: in the second series (Table 2), genotyping of the −158Gγ (CvT) Xmn1 polymorphism revealed that, of the SS class, 95.7% were found to be a wild-type allele (specifically homozygous CC), and 4.3% were heterozygous (CT). The former was undigested with only one band (650 bp), and the latter partially digested (±) with three bands, 650, 450, and 200 bp (Figure 1). In controls, the ± Xmn1 ′5 to Gγ was observed in only one individual of thirty (3.3%), with the remainder found to have a wild-type allele, homozygous state (CC), 96.7%, as shown in Figures 1 and 2.
Figure 1.

Some of RFLP products of Xmn1 ′5 to Gγ of sickle patients and healthy individuals. Lane 1 demonstrates the DNA molecular weight marker with a hundred base-pair ladder. Lanes 1 to 4 and 8 are the DNA which is (−/−), whereas Lane 5 is the DNA which is (±) for Xmn1 ′5 to Gγ.
Figure 2.

Chromatograms from XmnI reactions. Uppermost lane highlighted in blue is the consensus DNA sequence where the ′5 to Gγ-SNP is indicated by the red arrow. Top: RFLP positive sample; bottom: RFLP negative sample.
Table 2 also demonstrates that the OR indicates that there is a strong negative correlation between CC and CT. Furthermore, the P value (P=1.0) suggests that there is no significant variation between controls and patients regarding CC and CT polymorphisms. 95% CI indicates that these values calculated are between 0.11 and 4.52. Patients and controls were taken from the same societal group, and judging from statistics, most participants in this group possess a wild allele (specifically homozygous CC), 95.7% in patients, and 96.7 in controls. These statistics are calculated, using the Fisher exact test, where the input is the 2 by 2 contingency table holding the percentages of patients and controls who possess CC and CT. TT is omitted from the calculation because the percentage of patients and controls who hold TT is zero. This mutant allele (TT) with two bands, 450 and 200 bp, might represent a new Saudi haplotype. Among SS and AA classes, cases with the (CT) heterozygous genotype of Xmn1 ′5 to Gγ had lower levels of Hb F compared to those with the wild-type allele, (−/−) Xmn1 ′5 to Gγ at 5.3% and 7.5%, respectively (P < 0.005) (Figure 3).
Figure 3.

Demonstrations of platelet count among study participants. Key: significance determined by comparison of each group with control indices. (a) = P < 0.05; ∗statistical significance is shown in parenthesis.
6. Discussion
Saudi Arabia is a large country comprising several tribes of differing ethnicity. Based on initial data from the Jazan area premarital centre, it can be suggested that such diversity will be associated with a raised frequency of sickle Hb. As often found in ethnic groups where the βs allele is frequent, this Arab diversity will also be associated with variations in Hb type [20, 21]. Therefore, as βs mutations vary according to DNA background, a study was undertaken by Elderdery et al. to evaluate the possibility of new haplotypes being present other than those already known [13].
Additionally, the study researched Hb F levels associated with Xmn1 ′5 to Gγ, as an indicator of disease severity [10]. To address this objective, the current study was extended to characterize the genotype frequency of the −158Gγ (C⟶T) Xmn1 polymorphism [13, 22, 23]. The S (sickle) gene is a monogenic disorder created by a single A/T mutation in the sixth position of the β-chain; however, other clinical phenotypes are involved. Xmn1 ′5 to Gγ analysis for S gene presence was based on RFLP for published SNPs and it was detected within the genomic region stretching from the ´5 to Gγ globin to β-globin gene [9]. Here, S gene frequency was found in only 4.3% of patients with the heterozygous (±) form and 95.7% of those who were homozygous (-/-).
This finding is in disagreement with existing studies of the Arab-Indian haplotype, which found a high frequency of the S gene in patients who are Xmn1 ′5 to Gγ positive [24, 25]. Furthermore, our findings were also dissimilar to findings from SCA patients from Yemen [26] and Senegal [27]. Our hypothesis is in agreement with similar studies undertaken in Sudan (13) and Palestine [28], however. Here, Cameroon and Benin haplotypes predominate, respectively, with low levels of Hb F. It is also under a study from Tunisia which found that Xmn1 ′5 to Gγ was largely (−/−) a wild genotype [29]. It is known that the Arab-Indian haplotype is widespread throughout the Middle East (including Saudi Arabia) [25, 30], but our findings indicate that this haplotype has only a limited presence among sickle patients in the Jazan area.
An atypical haplotype is one caused by recombination of common ones, meaning they are arranged into separated block-like structures, over the human genome [31]. The current study revealed a general absence of the S (sickle) gene among 94.9% of patients from Xmn1 ′5 to Gγ (Figures 1 and 2). This absence is probably due to different genetic backgrounds within the Saudi population and would be following Elderdery et al. (Sudan) and Steinberg et al. in African Americans and widespread presence of the atypical β-globin gene [13, 32]. This may support the hypothesis that a new haplotype may be present in sickle-cell patients from specific Saudi tribes.
Both Senegal and Arab-Indian haplotypes are accompanied by a higher Hb F presence between Xmn1 ′5 and Gγ [10, 27, 33], but sickle-cell patients of the Benin haplotype are accompanied with intermediate levels only [34]. Furthermore, sickle patients of Bantu or Central African Republic Haplotypes are documented with the lowest levels of Hb F [13]. Based on regional genetic epidemiological studies, it was detected that the predominant ethnicity of sickle patients with the typical β-s haplotype in Saudi Arabia is the Arab-Indian [25]. This current study however did not analyze β-globin gene haplotypes, which is a limiting factor. βs haplotypes are genetic factors indicating Hb F levels in sickled patients because it is known that higher levels have an impact in lowering the clinical severity of the disease [35]. Among both SS and AA classes, only 5.3% of cases with the (CT) heterozygous genotype (Xmn1 ′5 to Gγ) had lower levels of Hb F compared with 7.5% of those with the wild-type allele, (−/−) Xmn1 ′5 to Gγ, P < 0.05 (Figure 2).
This is unlike other findings among sickled patients from other areas of the same country but is similar to studies among other ethnic groups [13]. Within Saudi controls with Hb AA, 3.5–8.5% showed heterogeneity of Hb F expression, higher than that for such controls in other countries. However, this may result from difference in local genetic background, which may reveal variation in clinical features of SCD [32, 33]. In contrast, some studies have reported that SCA patients in the Gulf region and Asian countries including India had fewer clinical symptoms. This would be because Hb F is found there at a higher level than in African countries, owing to the variation in βs haplotypes [33–35].
7. Conclusion
A study of polymorphisms of the Xmn1 γG globin (−158C > T) from subjects in Saudi Arabia's Jazan area would identify specific genetic backgrounds common to the Saudi community as a whole, thus this region should be considered for further future research. This study reveals that most cases of SCA in Jazan have [−/−] Xmn1 having higher levels of Hb F and positive Xmn1 ′5 to Gγ, which is normally associated with a significantly low level of Hb F compared with negative Xmn1 ′5 to Gγ. Additionally, tested patients and controls were not homozygous (TT) for the mutant allele, reflecting, and explaining the limited effect of polymorphism in raising Hb F levels. Focusing on Jazan area as the sickle Hb is more prevalent over there and therefore, further research from other areas of Saudi Arabia and with larger sample sizes and different age group above six months together with the molecular analysis of βS haplotypes, would better evaluate this probable association with SCD [36].
Acknowledgments
The authors would like to thank the Deanship of Scientific Research, Jouf University, Saudi Arabia, for funding this work through research grant no (40/236). We also highly appreciate the support provided by the staff of the pre-marital centre of King Fahad Central Hospital, Jazan, to complete this study.
Abbreviations
- Hb:
Hemoglobin
- SCA:
Sickle cell anemia
- CE-HPLC:
High performance liquid chromatography
- ASO:
Allele specific oligonucleotide
- ARMS:
Amplification refractory mutation system
- PCV:
Packed cell volume
- MCV:
Mean cell volume
- MCH:
Mean cell Hb
- MCHC:
mean cell Hb concentration
- RBC:
Red blood cell
- RDW:
Red cell distribution width
- WBC:
White blood cells
- Neut:
Neutrophil
- Mono:
Monocyte
- Lymph:
Lymphocyte
- Eosino:
Eosinophil
- Baso:
Basophil
- PLt:
Platelet
- PCR-RFLP:
Polymerase chain reaction-restriction fragment length polymorphism
- SD:
Standard deviation
- OR:
Odds ratio
- CI:
Confidence interval.
Data Availability
The data used to support the findings of this study are included in the article. Should further data or information be required, these are available from the corresponding author upon request.
Disclosure
This research was performed as a part of the employment of Jouf University, Sakaka, Saudi Arabia.
Conflicts of Interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
References
- 1.Alsubaie S. S., Almathami M. A., Abouelyazid A., Alqahtani M. M. Prevalence of depression among adults with sickle cell disease in the southern region of Saudi Arabia. Pakistan journal of medical sciences . 2018;34(4):929–933. doi: 10.12669/pjms.344.14760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Alotaibi M. M. Sickle cell disease in Saudi Arabia: a challenge or not. Journal of epidemiology and global health . 2017;7(2):99–101. doi: 10.1016/j.jegh.2016.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Elsayid M., Al-Shehri M. J., Alkulaibi Y. A., Alanazi A., Qureshi S. Frequency distribution of sickle cell anemia, sickle cell trait and sickle/beta-thalassemia among anemic patients in Saudi Arabia. Journal of Natural Science, Biology, and Medicine . 2015;6(1):S85–S88. doi: 10.4103/0976-9668.166093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.White J. M. The approximate gene frequency of sickle haemoglobin in the Arabian Peninsula. British Journal of Haematology . 1983;55(3):563–564. doi: 10.1111/j.1365-2141.1983.tb02175.x. [DOI] [PubMed] [Google Scholar]
- 5.al-Sheyyab M., Rimawi H., Izzat M., et al. Sickle cell anaemia in Jordan and its clinical patterns. Annals of Tropical Paediatrics . 1996;16(3):249–253. doi: 10.1080/02724936.1996.11747834. [DOI] [PubMed] [Google Scholar]
- 6.Abuamer S., Shome D. K., Jaradat A., et al. Frequencies and phenotypic consequences of association of α- and β-thalassemia alleles with sickle-cell disease in Bahrain. The International Journal of Literary Humanities . 2017;39(1):76–83. doi: 10.1111/ijlh.12577. [DOI] [PubMed] [Google Scholar]
- 7.Adekile A. D. Sickle cell disease in Kuwait. Hemoglobin . 2001;25(2):219–225. doi: 10.1081/hem-100104030. [DOI] [PubMed] [Google Scholar]
- 8.Alsultan A., Jastaniah W., Al Afghani S., et al. Demands and challenges for patients with sickle-cell disease requiring hematopoietic stem cell transplantation in Saudi Arabia. Pediatric Transplantation . 2016;20(6):831–835. doi: 10.1111/petr.12767. [DOI] [PubMed] [Google Scholar]
- 9.Moez P., Moftah R., Mahmoud H. A. A study on the genotype frequency of $$-158∼\hbox {G}\gamma $$ - 158 G γ ( $$\hbox {C}{\rightarrow }\hbox {T}$$ C ⟶ T ) Xmn1 polymorphism in a sickle cell trait cohort from Siwa Oasis, Egypt. Journal of Genetics . 2018;97(2):505–511. doi: 10.1007/s12041-018-0942-8. [DOI] [PubMed] [Google Scholar]
- 10.Dadheech S., Jain S., Madhulatha D., et al. Association of Xmn1 −158 γG variant with severity and HbF levels in β-thalassemia major and sickle cell anaemia. Molecular Biology Reports . 2014;41(5):3331–3337. doi: 10.1007/s11033-014-3195-5. [DOI] [PubMed] [Google Scholar]
- 11.Wjdan A., Hani A. Techniques for the detection of sickle cell disease. Micromachines . 2021;12:51–59. doi: 10.3390/mi12050519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Detemmerman L., Olivier S., Bours V., Boemer F. Innovative PCR without DNA extraction for African sickle cell disease diagnosis. Hematology . 2018;23(3):181–186. doi: 10.1080/10245332.2017.1371470. [DOI] [PubMed] [Google Scholar]
- 13.Elderdery A. Y., Mills J., Mohamed B. A., et al. Molecular analysis of the β-globin gene cluster haplotypes in a Sudanese population with sickle cell anaemia. The International Journal of Literary Humanities . 2012;34(3):262–266. doi: 10.1111/j.1751-553x.2011.01388.x. [DOI] [PubMed] [Google Scholar]
- 14.Bitoungui V. J. N., Pule G. D., Hanchard N., Ngogang J., Wonkam A. Beta-globin gene haplotypes among Cameroonians and review of the global distribution: is there a case for a single sickle mutation origin in Africa? OMICS: A Journal of Integrative Biology . 2015;19(3):171–179. doi: 10.1089/omi.2014.0134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zago M. A., Silva W. A., Jr., Dalle B., et al. Atypical ?s haplotypes are generated by diverse genetic mechanisms. American Journal of Hematology . 2000;63(2):79–84. doi: 10.1002/(sici)1096-8652(200002)63:2<79::aid-ajh4>3.0.co;2-d. [DOI] [PubMed] [Google Scholar]
- 16.Wonkam A., Ngo Bitoungui V. J., Vorster A. A., et al. Association of variants at BCL11A and HBS1L-MYB with hemoglobin F and hospitalization rates among sickle cell patients in Cameroon. PloS one . 2014;9(3):p. e92506. doi: 10.1371/journal.pone.0092506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Abou-Elew H. H., Youssry I., Hefny S., Hashem R. H., Fouad N., Zayed R. A. βSglobin gene haplotype and the stroke risk among Egyptian children with sickle cell disease. Hematology . 2018;23(6):362–367. doi: 10.1080/10245332.2017.1403736. [DOI] [PubMed] [Google Scholar]
- 18.Okumura J. V., Silva D. G. H., Torres L. S., et al. Inheritance of the Bantu/Benin haplotype causes less severe hemolytic and oxidative stress in sickle cell anemia patients treated with hydroxycarbamide. Journal of Human Genetics . 2016;61(7):605–611. doi: 10.1038/jhg.2016.16. [DOI] [PubMed] [Google Scholar]
- 19.Abozer Y., Abdulaziz S. Reference value profile for healthy individuals from the aljouf region of Saudi Arabia. Journal of Hematology . 2017;6(1):6–11. doi: 10.14740/jh316e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Daak A. A., Elsamani E., Ali E. H., et al. Sickle cell disease in western Sudan: genetic epidemiology and predictors of knowledge attitude and practices. Tropical Medicine and International Health . 2016;21(5):642–653. doi: 10.1111/tmi.12689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ali N., Ayyub M., Khan S. A., et al. Frequency of Gγ-globin promoter −158 (C>T) XmnI polymorphism in patients with homozygous/compound heterozygous beta thalassaemia. Hematology/oncology and stem cell therapy . 2015;8(1):10–15. doi: 10.1016/j.hemonc.2014.12.004. [DOI] [PubMed] [Google Scholar]
- 22.Aghajani F., Mahdavi M. R., Kosaryan M., Mahdavi M., Hamidi M., Jalali H. Identification of beta-globin haplotypes linked to sickle hemoglobin (Hb S) alleles in Mazandaran province. Iran. Genes & genetic systems . 2017;91(6):311–313. doi: 10.1266/ggs.16-00005. [DOI] [PubMed] [Google Scholar]
- 23.Shimauti E. L., Silva D. G. H., Souza E. M. d., Almeida E. A. d., Leal F. P., Bonini-Domingos C. R. Prevalence of βS-globin gene haplotypes, α-thalassemia (3.7 kb deletion) and redox status in patients with sickle cell anemia in the state of Paraná, Brazil. Genetics and Molecular Biology . 2015;38(3):316–323. doi: 10.1590/s1415-475738320140231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Habara A. H., Shaikho E. M., Steinberg M. H. Fetal hemoglobin in sickle cell anemia: the Arab-Indian haplotype and new therapeutic agents. American Journal of Hematology . 2017;92(11):1233–1242. doi: 10.1002/ajh.24872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Alsultan A., Alabdulaali M. K., Griffin P. J., et al. Sickle cell disease in Saudi Arabia: the phenotype in adults with the Arab-Indian haplotype is not benign. British Journal of Haematology . 2014;164(4):597–604. doi: 10.1111/bjh.12650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.El Hazmi M. A., Warsy A. S. Molecular studies on Yemeni sickle-cell-disease patients: Xmn I polymorphism. Eastern Mediterranean Health Journal . 1999;5(6):1183–1187. doi: 10.26719/1999.5.6.1183. [DOI] [PubMed] [Google Scholar]
- 27.Martin F., Malick Ndour C., Deme Ly E. H., et al. Genetic background of the sickle cell disease pediatric population of dakar, senegal, and characterization of a novel frameshift β-Thalassemia Mutation [HBB: c.265_266del; p.Leu89Glufs∗2] Hemoglobin . 2017;41(2):89–95. doi: 10.1080/03630269.2017.1339610. [DOI] [PubMed] [Google Scholar]
- 28.Samarah F., Ayesh S., Athanasiou M., Christakis J., Vavatsi N. βS-Globin gene cluster haplotypes in the west bank of Palestine. Hemoglobin . 2009;33(2):143–149. doi: 10.1080/03630260902861873. [DOI] [PubMed] [Google Scholar]
- 29.Imen M., Ikbel B. M. M., Leila C., et al. Restriction mapping of βS locus among tunisian sickle-cell patients. American Journal of Human Biology . 2011;23(6):815–819. doi: 10.1002/ajhb.21224. [DOI] [PubMed] [Google Scholar]
- 30.Alkindi S. Y., Pathare A., Alkindi S., Panjwani V., Wasim F., Khan H. Serum total bilirubin, not cholelithiasis, is influenced by Ugt1a1 polymorphism, alpha thalassemia and S genotype: first report on comparison between Arab-indian and african S genes. Mediterranean journal of hematology and infectious diseases . 2015;7(1):p. e2015060. doi: 10.4084/mjhid.2015.060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Okumura J. V., Silva D. G. H., Torres L. S., et al. Atypical β-S haplotypes: classification and genetic modulation in patients with sickle cell anemia. Journal of Human Genetics . 2019;64(3):239–248. doi: 10.1038/s10038-018-0554-4. [DOI] [PubMed] [Google Scholar]
- 32.Steinberg M. H. Genetic etiologies for phenotypic diversity in sickle cell anemia. The Scientific World Journal . 2009;9:46–67. doi: 10.1100/tsw.2009.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Akinsheye I., Alsultan A., Solovieff N., et al. Fetal hemoglobin in sickle cell anemia. Blood . 2011;118(1):19–27. doi: 10.1182/blood-2011-03-325258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rahimi Z. V.-R. A., Merat A., Haghshenass M., Rezaei M. Level of haemoglobin F and Gg gene expression in sickle cell disease and their association with haplotype and XmnI polymorphic site in South of Iran. International Journal of Mathematics and Statistics . 2007;32(4):234–9. [Google Scholar]
- 35.El-Hazmi M. F., Warsy A., Al-Hazmi A. Sickle cell disease in Middle East Arab countries. Indian Journal of Medical Research . 2011;134(5):597–610. doi: 10.4103/0971-5916.90984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Elmutaz M. S., John J. F., Abdulrahman A. Genetic determinants of HbF in Saudi arabian and african Benin haplotype sickle cell anemia. American Journal of Hematology . 2017;92(9):E555–E557. doi: 10.1002/ajh.24822. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data used to support the findings of this study are included in the article. Should further data or information be required, these are available from the corresponding author upon request.
