Skip to main content
Cardiovascular Journal of Africa logoLink to Cardiovascular Journal of Africa
. 2015 Mar-Apr;26(2 H3Africa Suppl):S50–S55. doi: 10.5830/CVJA-2015-040

Sickle cell disease and H3Africa: enhancing genomic research on cardiovascular diseases in African patients

Ambroise Wonkam 1, Julie Makani 2, Solomon Ofori-Aquah 3, Obiageli E Nnodu 4, Marsha Treadwell 5, Charmaine Royal 6, Kwaku Ohene-Frempong 7
PMCID: PMC4547555  PMID: 25962948

Summary

Background

Sickle cell disease (SCD) has a high prevalence in sub-Saharan Africa. There are several cardiovascular phenotypes in SCD that contribute to its morbidity and mortality.

Discussion

SCD is characterised by marked clinical variability, with genetic factors playing key modulating roles. Studies in Tanzania and Cameroon have reported that singlenucleotide polymorphisms in BCL11A and HBS1L-MYB loci and co-inheritance of alpha-thalassaemia impact on foetal haemoglobin levels and clinical severity. The prevalence of overt stroke among SCD patients in Cameroon (6.7%) and Nigeria (8.7%) suggests a higher burden than in high-income countries. There is also some evidence of high burden of kidney disease and pulmonary hypertension in SCD; however, the burden and genetics of these cardiovascular conditions have seldom been investigated in Africa.

Conclusions

Several H3Africa projects are focused on cardiovascular diseases and present major opportunities to build genome-based research on existing SCD platforms in Africa to transform the health outcomes of patients.

Keywords: sickle cell disease, stroke, kidney diseases, pulmonary hypertension, genetics, Africa

Abstract

Sickle cell disease (SCD) is a genetic disorder of public health significance with high prevalence, high mortality rate and limited interventions. An estimated 305 800 births are affected annually worldwide by homozygous SCD (SCD-SS), nearly two-thirds of this incidence occurs in Africa.1 This estimate does not include SCD-SC, which is more prevalent than SCD-SS in some West African countries.

Although the first clinical description of SCD occurred over 100 years ago and this condition was described in 1949 as the first molecular disease, to date only one drug, hydroxyurea, is available for its specific treatment.2 Furthermore, despite the evidence from high-income countries that new-born screening (NBS) and comprehensive care are associated with a 70% reduction in early childhood deaths,3 and can have a significant impact on reducing morbidity,4,5 few African countries have programmes dedicated to NBS, follow-up care, family and patient education and counselling, and prevention and treatment of disease complications. As a consequence, in sub-Saharan Africa, mortality rates are high before the age of five years and estimates suggest that without intervention, up to 90% of affected infants may die in childhood.6,7

The role of genomic research to improve health of SCD patients: preliminary data from Cameroon and Tanzania

Genomics of foetal haemoglobin-promoting loci

Advancement in genomic research offers an unprecedented opportunity to address the health challenges of SCD in an integrated manner. As a Mendelian disorder caused by a single gene mutation on the β-globin gene (βGlu6Val) on chromosome 11, there is considerable phenotypic diversity in SCD, due largely to the influence of genetic and environmental factors.8-10

Although there are several key phenotypes (anaemia, stroke, infections), foetal haemoglobin (HbF) has emerged as a central disease modifier; importantly, the expression of this modifier is amenable to therapeutic manipulation.11,12 Genetic variants at three principal loci, BCL11A, HBS1L-MYB and the HBB cluster account for 10–20% of HbF variation among SCD patients in the USA, Brazil and the UK.8,9

Initial studies in Tanzania13 and recently in Cameroon14,15 have shown that single-nucleotide polymorphisms (SNPs) in the BCL11A loci are prevalent in both Tanzanian and Cameroonian patients [minor allele frequency (MAF) of rs4671393 = 0.30], with significant association of these SNPs with HbF (Table 1). These studies have also shown that rs9399137, which acts as a tagging SNP for the HMIP-2 sub-locus in European populations,10 occurred at a low frequency in both Cameroonian14 and Tanzanian patients.13 Nevertheless, in the HMIP-2 sub-locus, there was a much higher MAF of rs9389269 in Cameroonian (0.18)14 compared to the Tanzanian SCD patients (0.03).13 This observation could indicate a high degree of variation in the MAF of this SNP among SCD patients in African population groups.16

Table 1. Foetal haemoglobin association results for SNPs at the BCL11A, HBS1L-MYB and beta-globin loci in the Cameroonian and Tanzanian sickle cell anaemia cohort.

Locus Genomic variations HbSS Cameroon (n = 596)14 HbSS Tanzania (n = 1 124)13
SNP Position on the chromosome* Allele change MAF Effect size p-value MAF Effect size p-value
Chromosome 2
BCL11A rs11886868 60720246 T>C 0.31 0.167 0.0129 0.26 –0.406 3.00E-30
BCL11A rs4671393 60720951 G>A 0.3 0.201 0.0062 0.3 –0.412 3.90E-28
Chromosome 6
HBS1L-MYB rs28384513 135376209 A>C 0.2 –0.3002 0.0002 0.21 –0.146 1.90E-04
HBS1L-MYB rs9376090 135411228 T>C 0 NA NA 0.01 0.471 1.60E-02
HBS1L-MYB rs9399137 135419018 T>C 0.04 0.412 0.0086 0.01 0.668 8.30E-06
HBS1L-MYB rs9389269 135427159 T>C 0.18 0.09561 0.2468 0.03 0.4 1.40E-05
HBS1L-MYB rs9402686 135427817 G>A 0.03 0.1447 0.4437 0.06 0.342 1.60E-04
HBS1L-MYB rs9494142 135431640 T>C 0.11 0.3391 0.0023 0.13 0.085 6.00E-02
Chromosome 11
HBG2 rs7482144 5276169 G>A 0 –0.05843 0.9076 0.01 0.562 1.60E-04
OR51B5/6 rs5006884 5373251 C>T 0.08 0.04163 0.7385 0.05 0.164 2.40E-02

NA, not applicable; monomorphic T for the entire sample; MAF, minor allele frequency; SNP, single-nucleotide polymorphisms. *Chromosome, position on NCBI Build 36.1.

Furthermore, studies in Cameroon and Tanzania lacked power to replicate the association of a sub-locus (rs7482144) in HBG2 (Table 1), which explained 2.2% of the variation in HbF levels in African American patients.8 This is likely to be due to the absence of Senegal and Indian–Arab beta-globin locus haplotypes that contain the rs7482144 in most Cameroonian patients.17

Similarly, a strong signal adjacent to the HBB cluster recently detected in African-American patients at rs5006884 in OR51B5/618 was not found to have significant association in either Tanzanian14 or Cameroonian SCD patients.13 These findings suggest that studies of multiple SCD populations in Africa are warranted to improve our understanding of the impact of human diversity on HbF expression in SCD.19

The co-inheritance of alpha-thalassaemia and SCD

The co-inheritance of α-thalassaemia is associated with a milder phenotype in patients with HbSS and Sβ0 thalassaemia, e.g. higher haemoglobin level and lower stroke rate.20 However, the effect of α-thalassaemia is not all positive; pain and aseptic necrosis may be higher.21

In Cameroon, the co-inheritance of α-thalassaemia and SCD was associated with late onset of clinical manifestations and potentially increased survival in Cameroonian patients; this could explain the much higher allele frequency of 3.7kb α-globin gene deletion among SCD patients than in controls.22,23 In Tanzania, the co-inheritance of α-thalassaemia and SCD was associated with a lower stroke risk.24

These preliminary data indicate an urgent need to replicate and expand genetic studies in many other African SCD populations, including studies focused on loci that are linked to stroke25 and other cardiovascular conditions, to fully measure the opportunities of their implementation to improve the care of patients with SCD.

Addressing the burden of cardiovascular diseases in SCD in Africa

Cardiovascular phenotypes in SCD include complications involving the heart (e.g. heart failure), brain (e.g. stroke), lung (e.g. pulmonary hypertension) and kidney (e.g. proteinuria). Cerebrovascular disease is perhaps the most devastating complication for children with SCD, including overt stroke, transient ischaemic attacks, silent infarcts and neurocognitive dysfunction. Longitudinal cohort data from the USA have shown that between five and 10% of patients with SCD will experience a clinically overt stroke during childhood.26 The prevalence of overt stroke in SCD in Africa may be higher than that reported in high-income countries.

Overt stroke is a clinical diagnosis and should be easily detected in any cohort of closely monitored SCD patients. Brain computerised tomography (CT) and magnetic resonance imaging (MRI) are used to rule out haemorrhage or localise the tissue/vascular pathological basis for the stroke event. Clinical examination and CT scans identified a stroke prevalence of 6.7% in Cameroon.27,28 A study of children with SCD in Nigeria found a stroke prevalence of 8.7%.29

The prevalence of silent cerebral infarcts (SCI) and cerebral vasculopathies has been shown to be even greater than overt stroke risk: SCI occurs in 27% of this population before their sixth, and 37% by their 14th birthdays.30 SCI is diagnosed by MRI, but has not been studied in Africa because of the limited availability of MRI equipment. In fact SCI is not really silent, as falling school performance and other signs of neurocognitive dysfunction and change in personality/behaviour may all raise suspicion for increased risk of overt stroke, and suspicion of stroke with absence of motor or speech defect. SCI could be better called covert cerebral infarction.

The lack of longitudinally monitored SCD cohorts in Africa weakens incidence and prevalence estimates. Indeed, the cognitive performance of Cameroonian SCD children was evaluated using a neuropsychological test battery assessing four domains of cognitive functioning (executive function, attention, memory and sensory-motor skills). A high prevalence of cognitive deficits was found, increasing with age, and with a specific impairment of executive functions and attention.31 Up to 37.5% of the 96 SCD patients aged six to 24 years (M = 13.5, SD = 4.9) had mild-to-severe cognitive deficits, which tended to increase with age.

Structural equation models showed a significant association between (1) severe anaemia and lower executive functioning, (2) low foetal haemoglobin levels and lower executive functioning and attention, (3) history of cerebrovascular accidents and lower performances on executive functioning, sensory-motor and memory tasks, (4) pathological electroencephalogram and lower attention span, and (5) abnormal transcranial Doppler and lower memory function.31

The feasibility of using transcranial Doppler (TCD) ultrasonography in Africa to determine risk of stroke in children with SCD has been demonstrated in studies in Tanzania,24 Cameroon,31 Nigeria32 and Kenya.33 However, because of limited resources and inefficient transfusion services, TCD is seldom established as part of routine healthcare followed by transfusion therapy to prevent overt stroke in those found to have abnormal blood flow velocity.33

Pulmonary arterial hypertension (PAH) is common, with a prevalence of 30% in SCD patients, and all-cause mortality rates of 40% at 40 months after diagnosis in the USA.34 Studies in Nigeria indicate PAH could represent a significant complication of SCD on the African continent.35

N-terminal (NT) pro-brain natriuretic peptide (proBNP) ≥ 160 ng/l has a 78% positive predictive value for pulmonary hypertension. NT-proBNP elevation is common and is associated with markers of anaemia, inflammation and iron status and with severe functional impairment among sickle cell anaemia patients in Nigeria.36

The prevalence of elevated tricuspid regurgitant velocity (TRV) measured by echocardiogram, which predicts risk for pulmonary hypertension and death in adult sickle cell anaemia, was similar among SCD patients in Tanzania and those from the USA.37 In addition, there is accumulating clinical evidence to suspect a high prevalence of kidney disease among African SCD patients in France,38 Nigeria,39,40 Ghana41 and the Congo.42 The data revealed and emphasised the need to draft a specific research agenda to include Africa in future comprehensive studies on the epidemiology and genetics of end-organ complications of SCD.

Addressing the genomics of cardiovascular diseases in SCD in Africa

Despite the evidence of a high burden of cardiovascular events in SCD patients, the magnitude of this problem in Africa has not been defined. The clinical variability and environmental factors influencing these events have not been clearly and systematically studied, despite the availability of some encouraging data on the genetics of these cardiovascular phenotypes of SCD among African populations from the diaspora (Table 2). Previous studies of sibling pairs have demonstrated a genetic component to the development of cerebrovascular disease in SCD stroke.43 In addition, a child with SCD had an increased risk for stroke if they had siblings who had experienced an overt stroke.44

Table 2. Selected genes associated with cardiovascular phenotypes among African American SCD patients.

Cardiovascular phenotypes in SCD Associated genes References
Stroke HBA (3.7 alphaglobin gene deletion) Hsu et al. J Pediatr Hematol Oncol 2003; 25(8): 622–628
GOLGB1 (Y1212C) Flanagan et al. Blood 2013; 121(16): 3237–3245
ENPP1 (K173Q)
Kidney disease (proteinuria) MYH9 Ashley-Koch et al. Br J Haematol 2011; 155(3): 386–394
APOL1
Pulmonary hypertension GALNT13 Desai et al. Am J Respir Crit Care Med 2012; 186(4): 359–368
ADORA2B

A few genetic modifiers have confirmed the association with stroke, such as α-thalassaemia trait being protective against stroke20 (Table 1), but these do not explain the entire genetic contribution to stroke risk. In addition, several retrospective studies, mostly among African Americans, have identified specific SNPs associated with stroke in patients with SCD, using candidate gene approaches, but failed to be replicated using independent validation cohorts.45

Recent data that used genetic mapping and exome sequencing revealed that one mutation in GOLGB1 (Y1212C) and another mutation in ENPP1 (K173Q) were confirmed as having significant associations with a decreased risk for stroke among African Americans with SCD25 (Table 1). These studies need to be validated and extended in SCD patients in Africa.

Like stroke, renal failure occurs in 5–18% of SCD patients and is associated with early mortality.46 At-risk SCD patients cannot be identified prior to the appearance of proteinuria. The myosin, heavy-chain 9, non-muscle (MYH9) and apolipoprotein L1 (APOL1) genes have been associated with risk for focal segmental glomerulosclerosis and end-stage renal disease in African Americans.47

Seven SNPs in MYH9 and one in APOL1 were significantly associated with proteinuria among African American SCD patients. In addition, glomerular filtration rate was negatively correlated with proteinuria (p < 0.0001), and was significantly predicted by an interaction between MYH9 and APOL148 (Table 2). Further studies with independent data sets from sub-Saharan Africa are now needed to confirm this association, to identify more of the genes involved, and the interaction with various African environments, in order to address preventative measures of SCD nephropathy.

Moreover, an increased tricuspid regurgitation jet velocity (TRV > 2.5 m/s) and pulmonary hypertension defined by right heart catheterisation both independently conferred increased mortality in SCD.34 A preliminary genetic association study comparing patients with an elevated (n = 49) versus normal (n = 63) TRV revealed significant association with five SNPs within GALNT13 (p < 0.005), and a quantitative trait locus upstream of the adenosine-A2B receptor gene (ADORA2B)49 (Table 2).

Limited genetic studies associated with these critical cardiovascular phenotypes in SCD (stroke, pulmonary hypertension, kidney disease) have not been reported in SCD patients who reside in Africa. This indicates an urgent need to perform these studies, which could inform the global SCD communities in a unique way, on the value of gene and environmental interactions in the pathogenesis and hopefully the care of SCD.

Integrating outcomes of genetics research into new-born screening and interventions to reduce childhood mortality and survival in SCD

Major benefits in the health and survival of children with SCD have been attained through the implementation of a few simple, evidence-based interventions. The most striking achievements have resulted from early diagnosis of SCD through new-born screening and the subsequent enrolment of these patients into comprehensive care programmes. These programmes provide interventions that include prophylaxis against pneumococcal infection using penicillin, and early detection and treatment of acute clinical events such as anaemia, septicaemia, stroke and acute chest syndrome. These interventions have been introduced in a limited manner in Africa, despite the fact that they have been shown to be highly effective in developed countries.

Hydroxyurea, an important therapeutic intervention for SCD in high-income settings, is beginning to be used more frequently in several African countries.50-53 There is no doubt that hydroxyurea will have a large public health impact in Africa.54 However there are questions regarding the effectiveness of hydroxyurea in some individuals possessing characteristics associated with poor response to treatment. This includes SCD populations with low levels of haemolysis,55 low HbF level and Central African Republic (CAR) haplotype,56 as well as children under five years of age with SCD, even though some data indicate that efficacy is just as good or better in younger children.57 These questions should not delay the use of hydroxyurea in Africa, but it is strongly recommended that research trials should be conducted to monitor and evaluate effectiveness in this setting.

The second challenge regarding use of hydroxyurea in SCD in Africa is access due to limited supply and high cost. It has also been suggested that patients and families may resist adherence with this treatment. In Cameroon, only 3.4% of SCD patients had access to hydroxyurea.58 Sociological data on the barriers associated with prescription of and adherence with hydroxyurea is needed in order to plan effective strategies to address these issues in Africa.

Despite the limited access to hydroxyurea and other care and therapies, about 3% of the 700 studied Cameroonian patients with SCD lived longer than 40 years.14 Specific survivor SCD populations in sub-Saharan Africa can offer new research opportunities to uncover possible variation that could improve the life of SCD patients. With more and more genomic data available, it is anticipated that new-born screening could also allow early identification of genetic factors (e.g. HbF-promoting SNPs or stroke-associated SNPs) to potentially assess each individual patient’s risks and plan appropriate anticipatory guidance.

Perspectives: H3Africa and opportunity for genomic research of cardiovascular diseases in SCD

Currently, H3Africa extends across African countries, comprising 23 grants. It is anticipated that, together, H3Africa projects will analyse samples from 50 000 to 75 000 participants. Specifically, three projects have the objective to study stroke, kidney disease and other cardiovascular diseases (rheumatic heart disease) in various African countries where SCD is also prevalent59 (e.g. Cameroon, Tanzania, Nigeria, Ghana, Mali, Uganda). These projects offer the opportunity to extend the existing network of researchers in Cameroon, Ghana, Nigeria, South Africa and Tanzania, which have been assembled to conduct multicentre, Africa-based studies on the genetics and genomics of SCD.

To strengthen the case for genomic studies in Africa, several genetic variations have been discovered through molecular studies on the African continent.60 There is enough evidence, including whole-genome data from African populations, that emphasises the high levels of genomic variation and the heterogeneity of African populations.61,62

Some of the tremendous genetic variation in Africa is responsible for problems in clinical management of SCD, such as red blood cell transfusion, red blood cell Rh D polymorphism and allo-immunisation,63 and response to medications (cytochrome P450 polymorphisms and codeine/other opioids for pain therapy).64 Polymorphisms in ribonucleotide reductase, the target enzyme for hydroxyurea, may have variable effects on SCD patient response and deserves further investigation in Africa.

One SCD project currently funded under the H3Africa umbrella is focused on research in Cameroon, Ghana and Tanzania (FOA: RM12-005, 1 U01 HG007459-01). The project aims to: (1) explore perspectives and attitudes regarding genomic research and its implementation and implications in Africa, and (2) assess perceptions about public health interventions to increase awareness, early detection and prevention of SCD-related complications. Beyond this project, the investigators are building on biological materials, preliminary clinical and genomics data from Cameroon, Tanzania, Nigeria and Ghana, and extending the experience to other African countries, with the goal to improve infrastructure for research and training. The ultimate goal is to conduct research to understand the relationship between genes, the environment and disease, in order to translate genome-based knowledge into health benefits for SCD patients and their families in Africa.

Key messages

  • SCD is characterised by marked clinical variability, with genetic factors playing key modulating roles. Studies in Tanzania and Cameroon have reported that SNPs in the BCL11A loci and HBS1L-MYB region (HMIP), and co-inheritance of alpha-thalassaemia impact on HbF level and clinical severity.

  • There are several cardiovascular phenotypes in SCD, such as stroke, heart failure, pulmonary hypertension and renal disease that contribute to its morbidity and mortality.

  • The prevalence of overt stroke among SCD patients in Cameroon (6.7%) and Nigeria (8.7%) suggests a higher burden than in high-income countries.

  • The genetics of stroke, kidney disease and pulmonary hypertension have seldom been investigated in SCD in Africa.

  • Several H3Africa projects are focused on cardiovascular phenotypes, which creates a major opportunity to build on existing SCD work in Africa, a genome-based research on key cardiovascular phenotypes to transform the health benefits of SCD patients.

Acknowledgments

Role of the funding source: This report was funded by the National Institute of Health (NIH, NHLBI), USA, grant number 1U01HG007459–01.

Contributor Information

Ambroise Wonkam, Email: ambroise.wonkam@uct.ac.za, Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, South Africa.

Julie Makani, Muhimbili University of Health and Allied Sciences, Dar-Es-Salaam, Tanzania.

Solomon Ofori-Aquah, Center for Translational and International Hematology, University of Pittsburgh, Pittsburgh, USA.

Obiageli E Nnodu, Department of Haematology and Blood Transfusion, College of Health Sciences, University of Abuja, Abuja, Nigeria/Department of Haematology and Blood Transfusion, University of Abuja Teaching Hospital, Gwagwalada, Abuja, Nigeria.

Marsha Treadwell, Hematology/Oncology Department, UCSF Benioff Children’s Hospital, Oakland, USA.

Charmaine Royal, Department of African and African American Studies, Duke University, Durham, USA.

Kwaku Ohene-Frempong, Children’s Hospital of Philadelphia, Comprehensive Sickle Cell Centre, Philadelphia, USA.

References

  • 1.Piel FB, Patil AP, Howes RE. et al. Global epidemiology of sickle haemoglobin in neonates: a contemporary geostatistical model-based map and population estimates. Lancet. 2013;381(9861):142–151. doi: 10.1016/S0140-6736(12)61229-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Platt OS, Orkin SH, Dover G. et al. Hydroxyurea enhances fetal hemoglobin production in sickle cell anemia. J Clin Invest. 1984;74(2):652–656. doi: 10.1172/JCI111464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Yanni E, Grosse SD, Yang Q, Olney RS. Trends in pediatric sickle cell disease-related mortality in the United States, 1983-2002. J Pediatr. 2009;154(4):541–545. doi: 10.1016/j.jpeds.2008.09.052. [DOI] [PubMed] [Google Scholar]
  • 4.Rahimy MC, Gangbo A, Ahouignan G. et al. Effect of a comprehensive clinical care program on disease course in severely ill children with sickle cell anemia in a sub-Saharan African setting. Blood. 2003;102(3):834–838. doi: 10.1182/blood-2002-05-1453. [DOI] [PubMed] [Google Scholar]
  • 5.Vichinsky EP. Comprehensive care in sickle cell disease: its impact on morbidity and mortality. Semin Hematol. 1991;28(3):220–226. [PubMed] [Google Scholar]
  • 6.Piel FB, Hay SI, Gupta S, Weatherall DJ, Williams TN. Global burden of sickle cell anaemia in children under five, 2010–2050: modelling based on demographics, excess mortality, and interventions. PLoS Med. 2013;10(7) doi: 10.1371/journal.pmed.1001484. e1001484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Makani J, Cox SE, Soka D. et al. Mortality in sickle cell anemia in Africa: a prospective cohort study in Tanzania. PLoS One. 2011;6(2) doi: 10.1371/journal.pone.0014699. e14699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lettre G, Sankaran VG, Bezerra MA. et al. DNA polymorphisms at the BCL11A, HBS1L-MYB, and beta-globin loci associate with fetal hemoglobin levels and pain crises in sickle cell disease. Proc Natl Acad Sci USA. 2008;105(33):11869–11874. doi: 10.1073/pnas.0804799105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Thein SL, Menzel S. Discovering the genetics underlying foetal haemoglobin production in adults. Br J Haematol. 2009;145(4):455–467. doi: 10.1111/j.1365-2141.2009.07650.x. [DOI] [PubMed] [Google Scholar]
  • 10.Bae HT, Baldwin CT, Sebastiani P. et al. Meta-analysis of 2040 sickle cell anemia patients: BCL11A and HBS1L-MYB are the major modifiers of HbF in African Americans. Blood. 2012;120(9):1961–1962. doi: 10.1182/blood-2012-06-432849. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Xu J, Peng C, Sankaran VG. et al. Correction of sickle cell disease in adult mice by interference with fetal hemoglobin silencing. Science. 2011;334(6058):993–996. doi: 10.1126/science.1211053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Bauer DE, Kamran SC, Lessard S. et al. An erythroid enhancer of BCL11A subject to genetic variation determines fetal hemoglobin level. Science. 2013;342(6155):253–257. doi: 10.1126/science.1242088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Makani J, Menzel S, Nkya S. et al. Genetics of fetal hemoglobin in Tanzanian and British patients with sickle cell anemia. Blood. 2011;117(4):1390–1392. doi: 10.1182/blood-2010-08-302703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Wonkam A, Ngo Bitoungui VJ, Vorster AA. 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) doi: 10.1371/journal.pone.0092506. e92506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bitoungui VJ, Ngogang J, Wonkam A. Polymorphism at BCL11A compared to HBS1L-MYB loci explains less of the variance in HbF in patients with sickle cell disease in Cameroon. Blood Cells Mol Dis. 2014 doi: 10.1016/j.bcmd.2014.11.010. Nov 25. pii: S1079-9796(14)00143-0. [DOI] [PubMed] [Google Scholar]
  • 16.Menzel S, Rooks H, Zelenika D. et al. Global Genetic Architecture of an Erythroid Quantitative Trait Locus, HMIP-2. Ann Hum Genet. 2014 doi: 10.1111/ahg.12077. Jul 29. doi: 10.1111/ahg.12077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ngo Bitoungui VJ, Pule GD, 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 J Integrat Biol. 2015;19(3) doi: 10.1089/omi.2014.0134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Solovieff N, Milton JN, Hartley SW. et al. Fetal hemoglobin in sickle cell anemia: genome-wide association studies suggest a regulatory region in the 5′ olfactory receptor gene cluster. Blood. 2010;115(9):1815–1822. doi: 10.1182/blood-2009-08-239517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Mtatiro SN, Singh T, Rooks H. et al. Genome wide association study of fetal hemoglobin in sickle cell anemia in Tanzania. PLoS One. 2014;9(11) doi: 10.1371/journal.pone.0111464. e111464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hsu LL, Miller ST, Wright E. et al. Stroke Prevention Trial (STOP) and the Cooperative Study of Sickle Cell Disease (CSSCD). Alpha thalassemia is associated with decreased risk of abnormal transcranial Doppler ultrasonography in children with sickle cell anemia. J Pediatr Hematol Oncol. 2003;25(8):622–628. doi: 10.1097/00043426-200308000-00007. [DOI] [PubMed] [Google Scholar]
  • 21.Embury SH, Dozy AM, Miller J. et al. Concurrent sickle-cell anemia and alpha-thalassemia: effect on severity of anemia. N Engl J Med. 1982;306(5):270–274. doi: 10.1056/NEJM198202043060504. [DOI] [PubMed] [Google Scholar]
  • 22.Wonkam A, Rumaney MB, Ngo Bitoungui VJ. et al. Coinheritance of sickle cell anemia and α-thalassemia delays disease onset and could improve survival in Cameroonian’s patients (Sub-Saharan Africa). Am J Hematol. 2014;89(6):664–665. doi: 10.1002/ajh.23711. [DOI] [PubMed] [Google Scholar]
  • 23.Rumaney MB, Ngo Bitoungui VJ, Vorster AA. et al. The co-inheritance of alpha-thalassemia and sickle cell anemia is associated with better hematological indices and lower consultations rate in Cameroonian patients and could improve their survival. PLoS One. 2014;9(6) doi: 10.1371/journal.pone.0100516. e100516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Cox SE, Makani J, Soka D. et al. Haptoglobin, alpha-thalassaemia and glucose-6-phosphate dehydrogenase polymorphisms and risk of abnormal transcranial Doppler among patients with sickle cell anaemia in Tanzania. Br J Haematol. 2014;165(5):699–706. doi: 10.1111/bjh.12791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Flanagan JM, Sheehan V, Linder H. et al. Genetic mapping and exome sequencing identify 2 mutations associated with stroke protection in pediatric patients with sickle cell anemia. Blood. 2013;121(16):3237–3245. doi: 10.1182/blood-2012-10-464156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ohene-Frempong K, Weiner SJ, Sleeper LA. et al. Cerebrovascular accidents in sickle cell disease: rates and risk factors. Blood. 1998;91(1):288–294. [PubMed] [Google Scholar]
  • 27.Njamnshi AK, Mbong EN, Wonkam A. et al. The epidemiology of stroke in sickle cell patients in Yaounde, Cameroon. J Neurol Sci. 2006;250(1–2):79–84. doi: 10.1016/j.jns.2006.07.003. [DOI] [PubMed] [Google Scholar]
  • 28.Njamnshi AK, Wonkam A, Djientcheu Vde P. et al. Stroke may appear to be rare in Saudi Arabian and Nigerian children with sickle cell disease, but not in Cameroonian sickle cell patients. Br J Haematol. 2006;133(2):210. doi: 10.1111/j.1365-2141.2006.05986.x. [DOI] [PubMed] [Google Scholar]
  • 29.Aliyu ZY, Gordeuk V, Sachdev V. et al. Prevalence and risk factors for pulmonary artery systolic hypertension among sickle cell disease patients in Nigeria. Am J Hematol. 2008;83(6):485–490. doi: 10.1002/ajh.21162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.DeBaun MR, Armstrong FD, McKinstry RC. et al. Silent cerebral infarcts: a review on a prevalent and progressive cause of neurologic injury in sickle cell anemia. Blood. 2012;119(20):4587–4596. doi: 10.1182/blood-2011-02-272682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Ruffieux N, Njamnshi AK, Wonkam A. et al. Association between biological markers of sickle cell disease and cognitive functioning amongst Cameroonian children. Child Neuropsychol. 2013;19(2):143–160. doi: 10.1080/09297049.2011.640932. [DOI] [PubMed] [Google Scholar]
  • 32.Lagunju I, Sodeinde O, Telfer P. Prevalence of transcranial Doppler abnormalities in Nigerian children with sickle cell disease. Am J Hematol. 2012;87(5):544–547. doi: 10.1002/ajh.23152. [DOI] [PubMed] [Google Scholar]
  • 33.Makani J, Kirkham FJ, Komba A. et al. Risk factors for high cerebral blood flow velocity and death in Kenyan children with sickle cell anaemia: role of haemoglobin oxygen saturation and febrile illness. Br J Haematol. 2009;145(4):529–532. doi: 10.1111/j.1365-2141.2009.07660.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Gladwin MT, Sachdev V, Jison ML. et al. Pulmonary hypertension as a risk factor for death in patients with sickle cell disease. N Engl J Med. 2004;350:886–895. doi: 10.1056/NEJMoa035477. [DOI] [PubMed] [Google Scholar]
  • 35.Aliyu ZY, Kato GJ, Taylor J 6th. et al. Sickle cell disease and pulmonary hypertension in Africa: a global perspective and review of epidemiology, pathophysiology, and management. Am J Hematol. 2008;83(1):63–70. doi: 10.1002/ajh.21057. [DOI] [PubMed] [Google Scholar]
  • 36.Aliyu ZY, Suleiman A, Attah E. et al. NT-proBNP as a marker of cardiopulmonary status in sickle cell anaemia in Africa. Br J Haematol. 2010;150(1):102–107. doi: 10.1111/j.1365-2141.2010.08195.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Cox SE, Soka D, Kirkham FJ. et al. Tricuspid regurgitant jet velocity and hospitalization in Tanzanian children with sickle cell anemia. Haematologica. 2014;99(1):e1–4. doi: 10.3324/haematol.2013.089235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Arlet JB, Ribeil JA, Chatellier G. et al. Determination of the best method to estimate glomerular filtration rate from serum creatinine in adult patients with sickle cell disease: a prospective observational cohort study. BMC Nephrol. 2012;13:83. doi: 10.1186/1471-2369-13-83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Iwalokun BA, Iwalokun SO, Hodonu SO, Aina OA, Agomo PU. Evaluation of microalbuminuria in relation to asymptomatic bacteruria in Nigerian patients with sickle cell anemia. Saudi J Kidney Dis Transpl. 2012;23(6):1320–1330. doi: 10.4103/1319-2442.103589. [DOI] [PubMed] [Google Scholar]
  • 40.Adedoyin OT, Adesiyun OO, Adegboye OA, Bello OA, Fatoye OP. Sickle cell nephropathy in children seen in an African hospital – case report. Niger Postgrad Med J. 2012;19(2):119–122. [PubMed] [Google Scholar]
  • 41.Osei-Yeboah CT, Rodrigues O. Renal status of children with sickle cell disease in Accra, Ghana. Ghana Med J. 2011;45(4):155–160. [PMC free article] [PubMed] [Google Scholar]
  • 42.Pakasa NM, Sumaïli EK. [Pathological peculiarities of chronic kidney disease in patient from sub-Saharan Africa. Review of data from the Democratic Republic of the Congo]. Ann Pathol. 2012;32(1):40–52. doi: 10.1016/j.annpat.2010.12.001. [DOI] [PubMed] [Google Scholar]
  • 43.Driscoll MC, Hurlet A, Styles L. Stroke risk in siblings with sickle cell anemia. Blood. 2003;101(6):2401–2404. doi: 10.1182/blood.V101.6.2401. [DOI] [PubMed] [Google Scholar]
  • 44.Kwiatkowski JL, Hunter JV, Smith-Whitley K, Katz ML, Shults J, Ohene-Frempong K. Transcranial Doppler ultrasonography in siblings with sickle cell disease. Br J Haematol. 2003;121(6):932–937. doi: 10.1046/j.1365-2141.2003.04276.x. [DOI] [PubMed] [Google Scholar]
  • 45.Flanagan JM, Frohlich DM, Howard TA. et al. Genetic predictors for stroke in children with sickle cell anemia. Blood. 2011;117(24):6681–6684. doi: 10.1182/blood-2011-01-332205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Platt OS, Brambilla DJ, Rosse WF. et al. Mortality in sickle cell disease. Life expectancy and risk factors for early death. N Engl J Med. 1994;330(23):1639–1644. doi: 10.1056/NEJM199406093302303. [DOI] [PubMed] [Google Scholar]
  • 47.Genovese G, Friedman DJ, Ross MD. et al. Association of trypanolytic ApoL1 variants with kidney disease in African Americans. Science. 2010;329(5993):841–845. doi: 10.1126/science.1193032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ashley-Koch AE, Okocha EC, Garrett ME. et al. MYH9 and APOL1 are both associated with sickle cell disease nephropathy. Br J Haematol. 2011;155(3):386–394. doi: 10.1111/j.1365-2141.2011.08832.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Desai AA, Zhou T, Ahmad H. et al. A novel molecular signature for elevated tricuspid regurgitation velocity in sickle cell disease. Am J Respir Crit Care Med. 2012;186(4):359–368. doi: 10.1164/rccm.201201-0057OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Elira Dokekias A, Okandze Elenga JP, Ndinga J, Sanogo I, Sangare A. [Evaluation of clinical response by hydroxyurea in 132 patients with major sickle cell anemia]. Tunis Med. 2005;83(1):32–7. [PubMed] [Google Scholar]
  • 51.Mellouli F, Bejaoui M. [The use of hydroxyurea in severe forms of sickle cell disease: study of 47 Tunisian paediatric cases]. Arch Pediatr. 2008;15(1):24–28. doi: 10.1016/j.arcped.2007.09.013. [DOI] [PubMed] [Google Scholar]
  • 52.Wonkam A, Ponde C, Nicholson N, Fieggen K, Ramessar R, Davidson A. The burden of sickle cell disease in Cape Town. S Afr Med J. 2012;102(9):752–754. doi: 10.7196/samj.5886. [DOI] [PubMed] [Google Scholar]
  • 53.Makubi A, Soka D, Makani J. Moyamoya disease, a rare cause of recurrent strokes in an african sickle cell child: does hydroxyurea have a role in this context? Int J Child Health Nutr. 2012;1:82–85. [Google Scholar]
  • 54.Ware RE. Hydroxycarbamide: clinical aspects. Comptes Rendus Biol. 2013;336(3):177–182. doi: 10.1016/j.crvi.2012.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Olabode JO, Shokunbi WA. Types of crises in sickle cell disease patients presenting at the haematology day care unit (HDCU), University College Hospital (UCH), Ibadan. West Afr J Med. 2006;25(4):284–288. [PubMed] [Google Scholar]
  • 56.Steinberg MH, Lu ZH, Barton FB, Terrin ML, Charache S, Dover GJ. Fetal hemoglobin in sickle cell anemia: determinants of response to hydroxyurea. Multicenter Study of Hydroxyurea. Blood. 1997;89(3):1078–1088. [PubMed] [Google Scholar]
  • 57.Wang WC, Ware RE, Miller ST. et al. Hydroxycarbamide in very young children with sickle-cell anaemia: a multicentre, randomised, controlled trial (BABY HUG). Lancet. 2011;377(9778):1663–1672. doi: 10.1016/S0140-6736(11)60355-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Wonkam A, Mba CZ, Mbanya D. et al. Psychosocial burden of sickle cell disease on parents with an affected child in Cameroon. J Genet Couns. 2014;23(2):192–201. doi: 10.1007/s10897-013-9630-2. [DOI] [PubMed] [Google Scholar]
  • 59.et al. Research capacity. Enabling the genomic revolution in Africa. Science. 2014;344(6190):1346–1348. doi: 10.1126/science.1251546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Peprah E, Xu H, Tekola-Ayele F, Royal CD. Genome-wide association studies in Africans and African Americans: Expanding the framework of the genomics of human traits and disease. Public Health Genom. 2015;18(1):40–51. doi: 10.1159/000367962. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Lambert CA, Tishkoff SA. Genetic structure in African populations: implications for human demographic history. Cold Spring Harb Symp Quant Biol. 2009;74:395–402. doi: 10.1101/sqb.2009.74.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Gurdasani D, Carstensen T, Tekola-Ayele F. et al. The African Genome Variation Project shapes medical genetics in Africa. Nature. 2015;517(7534):327–332. doi: 10.1038/nature13997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Kappler-Gratias S, Auxerre C, Dubeaux I. et al. Systematic RH genotyping and variant identification in French donors of African origin. Blood Transfus. 2014;12(Suppl 1):s264–272. doi: 10.2450/2013.0270-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Dandara C, Swart M, Mpeta B, Wonkam A, Masimirembwa C. Cytochrome P450 pharmacogenetics in African populations: implications for public health. Expert Opin Drug Metab Toxicol. 2014;10(6):769–785. doi: 10.1517/17425255.2014.894020. [DOI] [PubMed] [Google Scholar]

Articles from Cardiovascular Journal of Africa are provided here courtesy of Clinics Cardive Publishing (Pty) Ltd.

RESOURCES