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BioMed Research International
Volume 2015, Article ID 298409, 9 pages
http://dx.doi.org/10.1155/2015/298409
Review Article

Motor Neuron Diseases in Sub-Saharan Africa: The Need for More Population-Based Studies

1Pharmacology, Faculty of Health and Life Sciences, De Montfort University, Leicester LE1 9BH, UK
2Department of Molecular Biology and Biotechnology, School of Biological Science, University of Cape Coast, Cape Coast, Ghana
3Department of Science Laboratory Technology, School of Applied Science and Technology, Wa Polytechnic, Wa, Ghana

Received 24 April 2015; Accepted 1 June 2015

Academic Editor: Charlotte J. Sumner

Copyright © 2015 Emmanuel Quansah and Thomas K. Karikari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Motor neuron diseases (MNDs) are devastating neurological diseases that are characterised by gradual degeneration and death of motor neurons. Major types of MNDs include amyotrophic lateral sclerosis (ALS) and spinal muscular atrophy (SMA). These diseases are incurable, with limited disease-modifying treatment options. In order to improve MND-based biomedical research, drug development, and clinical care, population-based studies will be important. These studies, especially among less-studied populations, might identify novel factors controlling disease susceptibility and resistance. To evaluate progress in MND research in Africa, we examined the published literature on MNDs in Sub-Saharan Africa to identify disease prevalence, genetic factors, and other risk factors. Our findings indicate that the amount of research evidence on MNDs in Sub-Saharan Africa is scanty; molecular and genetics-based studies are particularly lacking. While only a few genetic studies were identified, these studies strongly suggest that there appear to be population-specific causes of MNDs among Africans. MND genetic underpinnings vary among different African populations and also between African and non-African populations. Further studies, especially molecular, genetic and genomic studies, will be required to advance our understanding of MND biology among African populations. Insights from these studies would help to improve the timeliness and accuracy of clinical diagnosis and treatment.

1. Introduction

Motor neuron diseases (MNDs) are a group of neurological disorders in which there is a selective loss of function of motor neurons [1]. These diseases are characterised by a progressive loss of motor neurons in the cerebral cortex, motor nuclei of the brain stem, and the anterior horn cells of the spinal cord [1]. The major disease types include amyotrophic lateral sclerosis (ALS), spinal muscular atrophy (SMA), progressive muscular atrophy (PMA), primary lateral sclerosis, and progressive bulbar palsy [2]. These diseases are incurable, with limited disease-modifying treatment options [2, 3]. MNDs share some similarities with other neurological diseases (such as neurodegenerative diseases including Alzheimer’s and Parkinson’s diseases) particularly in terms of the common genetic defects and the economic, social, and health burdens they present [4, 5].

The mechanistic details underlying the progressive loss of motor neurons in MNDs remain poorly understood [6]. However, an interplay of genetic, age-related, environmental, and developmental factors has been suggested to contribute to disease progression [7]. While some MNDs are genetically inherited (familial), others are sporadic [8, 9]. In ALS, for example, there are both familial and sporadic forms. Different genetic factors such as mutations in the C9orf72 and superoxide dismutase (SOD1) genes have been linked to familial ALS [10]. Furthermore, SMA is an autosomal recessive disorder with onset in infancy (Werdnig-Hoffman disease) or childhood through to adulthood (Kugelberg-Welander syndrome) [11]. Mutations in the Survival Motor Neuron 1 gene (SMN1; which is located on chromosome 5q13) have been linked with SMA [12]. Reduced SMN1 gene expression leads to degeneration of lower motor neurons, resulting in symmetrical muscle weakness and wasting [12]. SMN1 is reported to be homozygously deleted in approximately 95% of SMA patients worldwide [12]. However, studies conducted in South Africa have reported lower homozygous deletions of the SMN1 gene in patients of black African ancestry (51%–65%) compared to those of white ancestry (90–95%) [13, 14]. It is believed that MNDs have relatively higher prevalence rates among natives of North America, Europe, and Asia, compared to those in Sub-Saharan Africa (SSA). However, the less-studied nature of African populations might mean that the true epidemiological data among these populations are yet to be known.

To evaluate progress in MND research in Africa and to depend on this progress to suggest future directions, we examined the published literature on MNDs in SSA to identify disease prevalence, genetic and other risk factors. Our findings indicate that the amount of research evidence on MNDs in SSA is scanty. We identified only a few (eight) genetic studies, mostly conducted in South Africa. These studies strongly suggest that there appear to be population-specific causes of MNDs among Africans and also between African and non-African populations. Further studies, especially molecular, genetic and genomic studies among African populations, will be required to help advance our understanding of MND biology. Insights from these studies would help to improve the timeliness and accuracy of clinical diagnosis and treatment.

2. Methodology

2.1. Data Sources

We searched PubMed and MEDLINE via EBSCO for articles investigating MNDs and published up until April 2015. We used a number of search terms, including “amyotrophic lateral sclerosis”, “spinal muscular atrophy”, “progressive muscular atrophy”, and “motor neuron disease” in combination with “Africa” or “sub-Saharan Africa”. We also scanned the references from the articles obtained to identify potentially useful articles that would fit our search criteria. We then evaluated the articles (titles, abstracts, and then full texts) to find out if they met our inclusion criteria (Figure 1). The inclusion criteria were that an article must (i) have reported on MNDs (specifically ALS, SMA, and PMA), (ii) be a primary research article, (iii) have been conducted in SSA, and (iv) have been indexed in the databases up until April 19, 2015.

Figure 1: Flow diagram showing the selection of articles for review.

2.2. Article Selection, Data Extraction, and Assessment

Articles meeting all four conditions indicated above were selected for further analysis. Studies reporting on other forms of MNDs (such as Konzo), other neurological disorders (including Parkinson’s disease and Alzheimer’s disease), and HIV-related neurocognitive disorders were excluded. No restrictions were made in terms of study design but all duplicate items, studies conducted outside SSA, and review articles were excluded. Figure 1 summarises the article selection process.

3. Results and Discussion

Twenty-eight articles that matched our search criteria were selected for further analysis. Details of these studies have been provided in Table 1.

Table 1: Overview of studies into MNDs in Sub-Saharan Africa.
3.1. MND Epidemiology and Risk Factors in SSA

Twenty-eight studies were reviewed (13 retrospective, 8 case-controlled, 2 cross-sectional, and 5 case studies). Classifying articles based on study settings, we obtained twenty-five hospital-based and two community-based studies as well as one systematic study on ALS, SMA, and PMA (Table 1). These studies were conducted in a dozen countries in SSA, including South Africa (5 studies), Nigeria (5 studies), Senegal (4 studies), Mali (3 studies), Ethiopia (2 studies), multiple countries in Sub-Saharan Africa (2 studies), and Ivory Coast, Tanzania, Congo, Zimbabwe, Cameroon, Sudan, and Kenya (one study each; Table 1). The number of study participants with MNDs ranged from 2 to 116. The two community-based studies estimated disease prevalence rates to be 5/100,000 and 15/100,000 in Ethiopia and Nigeria, respectively (Table 1). Three of the hospital-based retrospective studies gave the prevalence rates as 750/100,000, 290/100,000, and 250/100,000 in Ivory Coast, Senegal, and Cameroon, respectively. The diagnostic criteria and methods used varied across studies, but electromyography was carried out in seven studies. The proportion of males involved in these studies was often higher than females. In addition, the age of MND patients in all the studies reviewed ranged from 12 to 84 years.

SMA and ALS were reported in 10 and 11 articles, respectively. A study conducted in Nigeria [18] reported on all three MNDs under consideration (ALS, SMA, and PMA). In this report, 73 patients who were suffering from ALS, as well as 9 and 10 suffering from SMA and PMA, respectively, were studied [18]. SMA type 1 was also reported in a few infants.

Furthermore, seven studies investigated risk factors for MNDs. The risk factors reported included severe hypotonia in infants, trauma, family history of MNDs, sensory changes, and spinal anaesthesia. With regard to this, two studies [11, 28] reported on family history and severe hypotonia in infancy as possible risk factors for SMA type 1, while Abdulla et al. [31] also observed family history of MNDs to be a risk factor for 14% of patients. Imam and Ogunniyi [9] identified trauma in 37.5% of ALS subjects while Wall and Gelfand [24] observed sensory changes in six participants. Additionally, while Bauer et al. [27] found spinal anaesthesia to be a risk factor for muscular atrophy in 7 out of 117 spinal anaesthesia inpatient admissions, Lekoubou et al. [30] reported that diabetes mellitus may not have any causative association with ALS.

3.2. Molecular and Genetic Studies into MNDs in SSA

Eight studies were focused on identifying genetic causes of MNDs. In 1988, Kiepiela and colleagues [20] evaluated the physiology of immunoregulatory cells in SMA among African patients and healthy controls. The study did not identify any cellular differences between SMA patients and control subjects. In 1999, Stevens et al. [14] identified homozygous deletions in the Neuronal Apoptosis Inhibitory Protein (NAIP) gene among 14% of 29 SMA patients studied. Homozygous SMN1 deletions were also found in 65.5% (19/29) of black patients studied (compared to the same genetic deletions identified among 90–95% of patients of white ancestry). It was also observed that 47% of these SMN1 deletions were in telomeric exon 7 but not exon 8. No such genetic deletions were identified in the remaining 35% (10/29) of black patients studied [14]. Following haplotype analysis of the genomes of these patients without genetic deletions (using six closely linked markers), no evidence for a founder mutation was observed [14]. This was contrary to later findings from an investigation on Finnish patients, which identified that the families of the patients sampled shared a common haplotype, indicating the possibility of a disease-related common founder mutation among this study population [39]. Based on these findings, it was suggested that the molecular basis of SMA onset and progression might differ between South African patients of different racial ancestries [14].

Wilmshurst et al. [15] explored this further through genetic studies in thirty unrelated and racially diverse SMA patients (including 12 black patients) in the Western Cape area of South Africa. In this retrospective study, four of the patients recruited were suffering from SMA type 1, sixteen presented with SMA type 2, and ten were suffering from SMA type 3. Contrary to the earlier report [14], Wilmshurst and colleagues [15] reported 100% homozygous deletions of exon 7 or exons 7 and 8 of the SMN1 gene in all patients and concluded that the study subjects were not genetically or phenotypically different from internationally recognised forms of SMA. The differences in the outcomes of the two studies, though, could be due to the fact that the latter study excluded patients who showed facial musculature. Such patients were, however, included in the earlier study. In a later investigation that included patients showing facial musculature, less homozygous deletions of the SMN1 gene (51% deletions, compared to the 100% earlier reported) in black South African patients were observed [13]. These findings were similar to those of Stevens and colleagues that identified genetic deletions in 65.5% of patients [14]. Labrum et al. [13] also reported SMA to be less common in black populations than white ones. Carrier rates of 1/50 and 1/23 and predicted birth rates of 1/3574 and 1/1945 in South African black and white populations, respectively, were provided. Apart from extreme hypotonia from infancy observed in an SMA type 1 patient in Kinshasa, Congo, a family history of similar clinical symptomatology in the patient’s elder brother was also recorded [11]. SMN1 deletions were confirmed in the primary patient’s genome following a quantitative polymerase chain reaction-based testing. In addition, two normal SMN2 alleles were found in the patient’s genome [11].

Upon investigating two sisters in Mali with spastic paraplegia and marked atrophy of the distal upper extremities, another study reported an extended homozygosity at chromosome 19p13.11-q12 (designated as SPG43) shared by patients but not shared by controls (controls consisted of 5 extended family members and 43 unrelated individuals of the same ethnic group) [34]. SPG43, they reasoned, could be a genetically distinct form of hereditary amyotrophy with spastic paraplegia. Following up on this outcome, it was observed in a later investigation that the (c.187G>C; p.Ala63Pro) homozygous missense variant in C19orf12 existed in patients who were suffering from spastic paraplegia with amyotrophy [38]. However, this mutation was not found in the 298 Malian controls [38]. Interestingly, upon screening several alleles in the National Heart, Lung, and Blood Institute exome sequencing project database, this genetic mutation was identified in three out of 3836 alleles of African Americans screened but none in the 8222 European-American alleles [38], suggesting that genetic risks for this disease are likely to be ethnic-dependent. This sustains the need for major MND genetic studies in Africa. Finally, SMN copy numbers and SMA carrier frequencies were also investigated in 628 Malians [17]. The SMA carrier frequency was estimated to be 1/209, much lower than the frequency that had been previously reported for Eurasians (1/30–50) [17]. It was further suggested that Malians and other Sub-Saharan Africans were more likely to have three or more copies of SMN1 (a higher copy number than Eurasians) and more likely to lack the SMN2 gene compared to Europeans. This suggests that SMA genetics among natives of SSA might vary from other populations.

It is worth noting that four out of the eight studies that focused on identifying the genetic basis of MNDs investigated South African patients; hence, their findings might not necessarily be applicable to people from other African countries, especially due to recent findings that African populations show some genomic diversity [40]. Aside from the four genetic studies conducted in South Africa, three more reports were on research done in Mali, with the remainder focusing on a patient in Kinshasa, Congo. Moreover, most of the studies (six of them) examined risk factors for SMA much to the neglect of PMA and ALS (there were only two studies examining amyotrophy together with spastic paraplegia). Altogether, the available data on genetic and molecular basis of MNDs among African populations is lacking, with no information available for populations in most countries. Due to this, we emphasise the need for further characterisation of genes and noncoding elements to further our understanding of MND disease mechanisms and propagation among African populations.

3.3. The Need for Further Studies

With some studies suggesting much less homozygous deletions of the SMN1 gene in black South African SMA patients as compared to patients from other continents [13, 14], there is an increasing need to fully characterise the genetic basis of SMA and other MNDs among Africans and also to identify possible differences between Africans and other populations. In this section, we discuss how further genetic studies into the basis of MNDs in African populations would enhance our understanding of MNDs and support neurological research and medical care in Africa. We also highlight some recent neuroscience research-promoting initiatives that scientists in Africa can take advantage of in order to help advance their research expertise and output.

3.3.1. Advancing Drug Development, Clinical Diagnosis, and Care

The clinical picture of MNDs in black Africans was first noted in 1990; disease characteristics differed slightly from what had previously been observed in white patients [13, 36]. It was reported in a study of forty-five African children with SMA that the clinical manifestation of the disease differed from what had been observed worldwide in two respects [36]. The first reason was the paucity in family history of only 9% in the black children studied as compared to 70% in other populations earlier identified by Smith and Patel in 1965 [36]. The second reason was the frequent involvement of facial muscle dysfunction, with 80% of SMA type 1 patients showing “expressionless faces.” The facial musculature symptoms initially led to a diagnosis of congenital myopathy, which was later challenged by the results of a muscle biopsy [13, 36]. The identification of genetic elements underlying these ethnic-dependent phenotypic variations is a strong suggestion that the mechanisms and propagation of MNDs might be population-specific, meaning that one-size-fits-all drugs and diagnosis platforms would not be effective for all patients. Further neurogenomic and neurogenetic studies might provide significant findings that would help to improve the clinical diagnosis and care of MNDs, as well as accelerate the development of better-targeted therapies [41].

3.3.2. MND-Based Biomedical Research

The lack of MND research in most parts of Africa can be partly blamed on the lack of adequately trained and equipped scientists conducting neuroscience research on the continent [42, 43]. However, it is rather fair to mention that the lack of world-class research facilities and neuroscience training programmes in several African countries discourages young researchers and students from taking up neuroscience as a carrier choice, leading to the glaring disparity in neuroscience research capacity and output between Africa and more-developed continents [4245]. Moreover, the difficulty in obtaining research funding, especially funds awarded by governments and national funding schemes, has been a major hindrance to quality research [42, 43].

Nevertheless, the situation seems to be improving in recent times, with the introduction of specific training programmes aimed at helping to build sustainable capacity for neuroscience research and education in Africa. New training programmes such as short courses, workshops, and degree programmes have been introduced for scientists involved in neuroscience research in Africa, to help improve the capacity of these scientists to conduct more high-impact research. These include workshops organised by institutions like TReND (Teaching and Research in Natural Sciences for Development in Africa) (http://www.trendinafrica.org/) and IBRO (International Brain Research Organization) to train African scientists on how best to use neurogenetics tools and model organisms (such as fruit fly, Drosophila melanogaster) which are powerful for molecular and genetic aspects of neuroscience [42, 43]. The cost-effectiveness of such tools and organisms also makes them suitable for areas where research funding is scarce, as the case is in most countries in Africa [43]. Institutions like Adéquation (http://adequationgermany.embl.de/), Seeding Labs (http://seedinglabs.org), Korle Bu Neuroscience Foundation (http://kbnf.org), and TReND have also contributed immensely by partnering with African universities, companies, and hospitals to provide functional laboratory and medical equipment to support local neuroscience education and research [42, 43]. Detailed discussions about these support systems led by nonprofit organisations have been previously provided [4143, 46]. To help improve the use of genomics tools and techniques in health-related research in Africa, the H3Africa (Human Heredity and Health in Africa, http://h3africa.org) initiative is making great strides by supporting African scientists with dedicated research funding, training, and intracontinental collaboration opportunities [4648]. This provides opportunities for more scientists working in neuroscience-related areas to apply genomics and genetics research to help address research questions [41]. However, for the long-term sustainability of these initiatives, there is the need for the development of more top notch, interdisciplinary undergraduate and postgraduate programmes in neuroscience in African universities. This would ensure that more African scientists, clinicians, and students are trained to carry out research in neuroscience, in order to help provide further insights that would contribute to improving neurological healthcare, social care, and public perceptions about neurological diseases [43].

Biomedical research in Africa currently depends heavily on donor support from developmental partners; however, the research priorities tied to these support systems might not necessarily be aligned with local research priorities in the respective African countries [46, 49, 50]. Moreover, the highly competitive nature of these funding schemes (since they are often open to many countries in the developing world) reduces the chances of African early-career scientists and senior scientists with low academic achievements from coming out successful [46]. To improve excellence in neuroscience research in Africa (particularly those focusing on MNDs), African governments and other local agencies must improve their investments in funding the provision of world-class resources and training programmes in this area. Specifically, there is the need for governmental funding support at the national, regional, and local government levels. For this reason, leaders of the African Union endorsed a target for member states to spend at least 1% of their gross domestic product on local research and development [47]. However, about a decade later, little has changed in terms of national research funding. Research in Africa is still almost fully supported by international funding agencies. In fact, the African Innovation Outlook 2010, a survey of scientific productivity in the different African countries, showed that only three countries (South Africa, Malawi, and Uganda) topped the 1% spending threshold in 2007, with most countries remaining far from the mark [47]. This demonstrates that there is a big research-funding gap in Africa, which needs to be filled. Aside from governmental support, contributions from industries, charity organisations, and philanthropists would also help to increase the quality of neuroscience research conducted in Africa. On the other hand, more scientists should get involved in public engagement activities in order to help policymakers and the public better understand the importance of scientific research and the need to increase investments in this area.

4. Conclusion

In this study, we have summarised the body of literature on ALS, SMA, and PMA in SSA. We found that the amount of research conducted in this area is limited, with most studies conducted in only a few countries. Due to this, we emphasise the need for more and larger-scale molecular, genetic, and genomic studies into these MNDs among different African populations. The previous discovery that some genetic underpinnings of MNDs such as homozygous SMN1 deletion frequency and genetic mutations in SMA vary between Eurasians and specific populations in SSA is one of the important reasons supporting the need for further studies to identify currently unknown factors regulating MNDs among African populations. Conducting further research into the molecular and genetic bases of MNDs could potentially lead to the identification of clinically relevant biomarkers for disease diagnosis, management, and treatment. In the long term, this would help to improve the timeliness and accuracy of clinical diagnosis and treatment, as well as social care and public perception about MNDs.

Abbreviations

ALS:Amyotrophic lateral sclerosis
MNDs:Motor neuron diseases
SMA:Spinal muscular atrophy
SSA:Sub-Saharan Africa
ENMG:Electroneuromyography
SA:Spinal anaesthesia
SMN1:Survival Motor Neuron 1 gene
NAIP:Neuronal Apoptosis Inhibitory Protein
SOD1:Superoxide dismutase
SPG43:Chromosome 19p13.11-q12
NHLBI:National Heart, Lung, and Blood Institute.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

  1. M. F. Beal, E. P. Richardson, and J. B. Martin, “Degenerative diseases of the nervous system,” in Principles of Internal Medicine, pp. 2072–2074, McGraw-Hill, 1991. View at Google Scholar
  2. M. R. Turner and K. Talbot, “Mimics and chameleons in motor neurone disease,” Practical Neurology, vol. 13, no. 3, pp. 153–164, 2013. View at Google Scholar · View at Scopus
  3. L. Kinsley and T. Siddique, “Amyotrophic lateral sclerosis overview,” in GeneReviews, R. A. Pagon, M. P. Adam, H. H. Ardinger et al., Eds., University of Washington, Seattle, Wash, USA, 1993. View at Google Scholar
  4. T. K. Karikari, “The involvement of alpha-synuclein in Parkinson's disease,” International Journal of Biological and Medical Research, vol. 5, no. 3, pp. 4396–4402, 2014. View at Google Scholar
  5. Y. Ben-Shlomo, A. S. Whitehead, and G. D. Smith, “Parkinson's, Alzheimer's, and motor neurone disease,” The British Medical Journal, vol. 312, no. 7033, p. 724, 1996. View at Publisher · View at Google Scholar · View at Scopus
  6. M. R. Turner, O. Hardiman, M. Benatar et al., “Controversies and priorities in amyotrophic lateral sclerosis,” The Lancet Neurology, vol. 12, no. 3, pp. 310–322, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. A. Ahmed and M. P. Wicklund, “Amyotrophic lateral sclerosis: what role does environment play?” Neurologic Clinics, vol. 29, no. 3, pp. 689–711, 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Aisen, “Differential diagnosis of spinal cord diseases,” in Clinical Geriatric Neurology, pp. 249–250, Lea & Febiger, 1993. View at Google Scholar
  9. I. Imam and A. Ogunniyi, “What is happening to motor neuron disease in Nigeria?” Annals of African Medicine, vol. 3, no. 1, pp. 1–3, 2004. View at Google Scholar
  10. D. R. Rosen, T. Siddique, D. Patterson et al., “Mutations in Cu/Zn superoxide dismutase gene are associated with familial amyotrophic lateral sclerosis,” Nature, vol. 362, no. 6415, pp. 59–62, 1993. View at Publisher · View at Google Scholar · View at Scopus
  11. A. Lumaka, D. Bone, R. Lukoo et al., “Werdnig-Hoffmann disease: report of the first case clinically identified and genetically confirmed in central Africa (Kinshasa-Congo),” Genetic Counseling, vol. 20, no. 4, pp. 349–358, 2009. View at Google Scholar · View at Scopus
  12. Y. Sun, M. Grimmler, V. Schwarzer, F. Schoenen, U. Fischer, and B. Wirth, “Molecular and functional analysis of intragenic SMN1 mutations in patients with spinal muscular atrophy,” Human Mutation, vol. 25, no. 1, pp. 64–71, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. R. Labrum, J. Rodda, and A. Krause, “The molecular basis of Spinal Muscular Atrophy (SMA) in South African black patients,” Neuromuscular Disorders, vol. 17, no. 9-10, pp. 684–692, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. G. Stevens, T. Yawitch, J. Rodda, S. Verhaart, and A. Krause, “Different molecular basis for spinal muscular atrophy in South African black patients,” American Journal of Medical Genetics, vol. 86, no. 5, pp. 420–426, 1999. View at Publisher · View at Google Scholar · View at Scopus
  15. J. M. Wilmshurst, L. Reynolds, R. Van Toorn, F. Leisegang, and H. E. Henderson, “Spinal muscular atrophy in black South Africans: concordance with the universal SMN1 genotype,” Clinical Genetics, vol. 62, no. 2, pp. 165–168, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. O. S. Ekenze, I. O. Onwuekwe, and B. A. Ezeala, “Profile of neurological admissions at the University of Nigeria Teaching Hospital Enugu,” Nigerian Journal of Medicine, vol. 19, no. 4, pp. 419–422, 2010. View at Publisher · View at Google Scholar
  17. M. Sangaré, B. Hendrickson, H. A. Sango et al., “Genetics of low spinal muscular atrophy carrier frequency in sub-Saharan Africa,” Annals of Neurology, vol. 75, no. 4, pp. 525–532, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. B. O. Osuntokun, A. O. G. Adeuja, and O. Bademosi, “The prognosis of motor neuron disease in Nigerian Africans: a prospective study of 92 patients,” Brain, vol. 97, no. 2, pp. 385–394, 1974. View at Publisher · View at Google Scholar · View at Scopus
  19. A. M. Adam, “Unusual form of motor neuron disease in Kenya,” East African Medical Journal, vol. 69, no. 2, pp. 55–57, 1992. View at Google Scholar
  20. P. Kiepiela, A. A. Dawood, A. Moosa, H. M. Coovadia, and P. Coward, “Evaluation of immunoregulatory cells in Duchenne muscular dystrophy and spinal muscular atrophy among African and Indian patients,” Journal of the Neurological Sciences, vol. 84, no. 2-3, pp. 247–255, 1988. View at Publisher · View at Google Scholar · View at Scopus
  21. A. P. Kengne, A. Dzudie, and L. Dongmo, “Epidemiological features of degenerative brain diseases as they occurred in yaounde referral hospitals over a 9-year period,” Neuroepidemiology, vol. 27, no. 4, pp. 208–211, 2006. View at Publisher · View at Google Scholar
  22. D. F. Sene, M. Ndiaye, K. Toure et al., “Epidemiological and clinical aspects of amyotrophic lateral sclerosis in neurological clinic of Dakar,” Dakar Médical, vol. 49, no. 3, pp. 167–171, 2004. View at Google Scholar
  23. R. Tekle-Haimanot, M. Abebe, A. Gebre-Mariam et al., “Community-based study of neurological disorders in rural Central Ethiopia,” Neuroepidemiology, vol. 9, no. 5, pp. 263–277, 1990. View at Publisher · View at Google Scholar
  24. D. W. Wall and M. Gelfand, “Motor neuron disease in rhodesian africans,” Brain, vol. 95, no. 3, pp. 517–520, 1972. View at Publisher · View at Google Scholar · View at Scopus
  25. H. Collomb, R. Virieu, M. Dumas, and G. Lemercier, “Maladie de Charcot et syndromes de sclérose latérale amyotrophique au Senegal: etude clinique de 27 observations,” Bulletin de La Société Médicale d'Afrique Noire de Langue Française, vol. 13, no. 4, pp. 785–804, 1968. View at Google Scholar
  26. R. A. A. Pelleboer, P. D. Maaswinkel-Mooy, and H. H. V. Gelderen, “Werdnig-Hoffmann disease in a Nigerian infant,” Tropical and Geographical Medicine, vol. 41, no. 3, pp. 282–284, 1989. View at Google Scholar
  27. M. Bauer, C. Fiala, P. Mues, and E. Schmutzhard, “Neurological long-term sequelae after spinal anaesthesia in a tropical setting: a case control study,” Tropical Medicine and International Health, vol. 6, no. 1, pp. 34–36, 2001. View at Publisher · View at Google Scholar · View at Scopus
  28. O. Ndiaye, G. Sall, A. Sylla, S. Diouf, I. Diagne, and N. Kuakuvi, “Progressive spinal amyotrophy type I or Werdnig-Hoffman disease. Apropos of 5 cases in Dakar (Senegal),” Bulletin de la Société de Pathologie Exotique, vol. 95, no. 2, pp. 81–82, 2002. View at Google Scholar
  29. B. O. Osuntokun, A. O. G. Adeuja, B. S. Schoenberg et al., “Neurological disorders in Nigerian Africans: a community-based study,” Acta Neurologica Scandinavica, vol. 75, no. 1, pp. 13–21, 1987. View at Publisher · View at Google Scholar
  30. A. Lekoubou, J. B. Echouffo-Tcheugui, and A. P. Kengne, “Epidemiology of neurodegenerative diseases in sub-Saharan Africa: a systematic review,” BMC Public Health, vol. 14, no. 1, article 653, 2014. View at Publisher · View at Google Scholar
  31. M. N. Abdulla, T.-E. O. Sokrab, A. El Tahir, H. E. Siddig, and M. E. A. Ali, “Motor neurone disease in the tropics: findings from Sudan,” East African Medical Journal, vol. 74, no. 1, pp. 46–48, 1997. View at Google Scholar · View at Scopus
  32. J. E. Cosnett, P. L. Bill, and A. I. Bhigjee, “Motor neuron disease in blacks. Epidemiological observations in Natal,” South African Medical Journal, vol. 76, no. 4, pp. 155–157, 1989. View at Google Scholar
  33. J. R. Harries, “Amyotrophic lateral sclerosis in Africans,” East African Medical Journal, vol. 32, no. 8, pp. 333–335, 1955. View at Google Scholar
  34. K. G. Meilleur, M. Traoré, M. Sangaré et al., “Hereditary spastic paraplegia and amyotrophy associated with a novel locus on chromosome 19,” Neurogenetics, vol. 11, no. 3, pp. 313–318, 2010. View at Publisher · View at Google Scholar · View at Scopus
  35. L. Jacquin-Cotton, M. Dumas, and P. L. Girard, “Paraplegia in Senegal,” Bulletin de la Société Médicale d'Afrique Noire de Langue Française, vol. 15, no. 2, pp. 206–220, 1970. View at Google Scholar
  36. A. Moosa and A. Dawood, “Spinal muscular atrophy in African children,” Neuropediatrics, vol. 21, no. 1, pp. 27–31, 1990. View at Publisher · View at Google Scholar · View at Scopus
  37. M. Piquemal, K. Beugre, Y. Boa, and C. Giordano, “Etude de 30 observations de syndrome de sclérose latérale Amyotrophique observés en Côte d'Ivoire,” African Journal of Neurological Sciences, vol. 1, pp. 31–40, 1982. View at Google Scholar
  38. G. Landouré, P.-P. Zhu, C. M. Lourenço et al., “Hereditary spastic paraplegia Type 43 (SPG43) is caused by mutation in C19orf12,” Human Mutation, vol. 34, no. 10, pp. 1357–1360, 2013. View at Publisher · View at Google Scholar · View at Scopus
  39. S. Penttilä, M. Jokela, P. Hackman, A. Maija Saukkonen, J. Toivanen, and B. Udd, “Autosomal dominant late-onset spinal motor neuronopathy is linked to a new locus on chromosome 22q11.2-q13.2,” European Journal of Human Genetics, vol. 20, no. 11, pp. 1193–1196, 2012. View at Publisher · View at Google Scholar · View at Scopus
  40. D. Gurdasani, T. Carstensen, F. Tekola-Ayele et al., “The African Genome Variation Project shapes medical genetics in Africa,” Nature, vol. 517, no. 7534, pp. 327–332, 2014. View at Publisher · View at Google Scholar
  41. T. K. Karikari and J. Aleksic, “Neurogenomics: an opportunity to integrate neuroscience, genomics and bioinformatics research in Africa,” Applied & Translational Genomics. In press.
  42. S. Yusuf, T. Baden, and L. L. Prieto-Godino, “Bridging the gap: establishing the necessary infrastructure and knowledge for teaching and research in neuroscience in Africa,” Metabolic Brain Disease, vol. 29, no. 2, pp. 217–220, 2014. View at Publisher · View at Google Scholar · View at Scopus
  43. T. K. Karikari, A. E. Cobham, and I. S. Ndams, “Building sustainable neuroscience capacity in Africa: the role of non-profit organisations,” Metabolic Brain Disease, 2015. View at Publisher · View at Google Scholar
  44. T. K. Karikari, N. A. Yawson, and A. O. Amankwaa, “Bridging the gap: introducing neuroscience to Ghana,” The Biochemist, vol. 37, no. 1, pp. 46–47, 2015, http://www.biochemist.org/bio/03701/0046/037010046.pdf. View at Google Scholar
  45. T. K. Karikari, “Neuroscience for Kids: online resources that promote student engagement, teaching and learning about the brain,” Journal of Undergraduate Neuroscience Education, vol. 13, no. 2, pp. R14–R15, 2015. View at Google Scholar
  46. T. K. Karikari, “Bioinformatics in Africa: the rise of Ghana?” PLoS Computational Biology, 2015. View at Publisher · View at Google Scholar
  47. C. Rotimi, A. Abayomi, A. Abimiku et al., “Research capacity. Enabling the genomic revolution in Africa,” Science, vol. 344, no. 6190, pp. 1346–1348, 2014. View at Publisher · View at Google Scholar
  48. Ö. T. Bishop, E. F. Adebiyi, A. M. Alzohairy et al., “Bioinformatics education—perspectives and challenges out of Africa,” Briefings in Bioinformatics, vol. 16, no. 2, pp. 355–364, 2015. View at Publisher · View at Google Scholar
  49. The World Bank, “A decade of development in sub-Saharan African science, technology, engineering and mathematics research,” 2014, http://documents.worldbank.org/curated/en/2014/09/20240847/decade-development-sub-saharan-african-science-technology-engineering-mathematics-research.
  50. V. Irikefe, G. Vaidyanathan, L. Nordling, A. Twahirwa, E. Nakkazi, and R. Monastersky, “Science in Africa: the view from the front line,” Nature, vol. 474, no. 7353, pp. 556–559, 2011. View at Publisher · View at Google Scholar · View at Scopus