H3Africa Publications for 2018

  1. H3Africa: current perspectives.Precision medicine is being enabled in high-income countries by the growing availability of health data, increasing knowledge of the genetic determinants of disease and variation in response to treatment (pharmacogenomics), and the decreasing costs of data generation, which promote routine application of genomic technologies in the health sector. Mulder N, Abimiku A, Adebamowo SN, de Vries J, Matimba A, Olowoyo P, Ramsay M, Skelton M, Stein DJ.  PMID:29692621 | PMCID:PMC5903476
  2. Different adiposity indices and their association with blood pressure and hypertension in middle-aged urban black South African men and women: findings from the AWI-GEN South African Soweto Site. To report associations between different adiposity indices [anthropometric and dual-energy X-ray absorptiometry (DXA) measures] and blood pressure (BP) and hypertension in urban black South African adults.  Pisa PT, Micklesfield LK, Kagura J, Ramsay M, Crowther NJ, Norris SA. PMID:29673339 | PMCID:PMC5907712
  3. Renewing Felsenstein’s phylogenetic bootstrap in the era of big data. Felsenstein’s application of the bootstrap method to evolutionary trees is one of the most cited scientific papers of all time. The bootstrap method, which is based on resampling and replications, is used extensively to assess the robustness of phylogenetic inferences. Lemoine F, Domelevo Entfellner JB, Wilkinson E, Correia D, Dávila Felipe M, De Oliveira T, Gascuel O. PMID:29670290
  4. Stroke Among Young West Africans: Evidence From the SIREN (Stroke Investigative Research and Educational Network) Large Multisite Case-Control Study.  Stroke in lower and middle-income countries affects a young and productive age group. Data on factors associated with stroke in the young are sorely lacking from lower and middle-income countries. Our objective is to characterize the nature of stroke and its risk factors among young West Africans aged <50 years old. Sarfo FS, Ovbiagele B, Gebregziabher M, Wahab K, Akinyemi R, Akpalu A, Akpa O, Obiako R, Owolabi L, Jenkins C, Owolabi M; SIREN. PMID:29618553 | PMCID:PMC5916042.
  5. Including all voices in international data-sharing governance.  Governments, funding bodies, institutions, and publishers have developed a number of strategies to encourage researchers to facilitate access to datasets. The rationale behind this approach is that this will bring a number of benefits and enable advances in healthcare and medicine by allowing the maximum returns from the investment in research, as well as reducing waste and promoting transparency. As this approach gains momentum, these data-sharing practices have implications for many kinds of research as they become standard practice across the world. Kaye J, Terry SF, Juengst E, Coy S, Harris JR, Chalmers D, Dove ES, Budin-Ljøsne I, Adebamowo C, Ogbe E, Bezuidenhout L, Morrison M, Minion JT, Murtagh MJ, Minari J, Teare H, Isasi R, Kato K, Rial-Sebbag E, Marshall P, Koenig B, Cambon-Thomsen A.  PMID:29514717 | PMCID:PMC5842530
  6. Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study. Sub-Saharan Africa has the highest incidence, prevalence, and fatality from stroke globally. Yet, only little information about context-specific risk factors for prioritising interventions to reduce the stroke burden in sub-Saharan Africa is available. We aimed to identify and characterise the effect of the top modifiable risk factors for stroke in sub-Saharan Africa.  Owolabi MO, Sarfo F, Akinyemi R, Gebregziabher M, Akpa O, Akpalu A, Wahab K, Obiako R, Owolabi L, Ovbiagele B; SIREN Team.; as part of H3Africa Consortium. PMID:29496511 | PMCID:PMC5906101
  7. Rules of engagement: perspectives on stakeholder engagement for genomic biobanking research in South Africa.  Genomic biobanking research is undergoing exponential growth in Africa raising a host of legal, ethical and social issues. Given the scientific complexity associated with genomics, there is a growing recognition globally of the importance of science translation and community engagement (CE) for this type of research, as it creates the potential to build relationships, increase trust, improve consent processes and empower local communities.  Staunton C, Tindana P, Hendricks M, Moodley K. PMID:29482536 | PMCID:PMC5828421
  8. The development and application of bioinformatics core competencies to improve bioinformatics training and education. Bioinformatics is recognized as part of the essential knowledge base of numerous career paths in biomedical research and healthcare. However, there is little agreement in the field over what that knowledge entails or how best to provide it. These disagreements are compounded by the wide range of populations in need of bioinformatics training, with divergent prior backgrounds and intended application areas.  Mulder N, Schwartz R, Brazas MD, Brooksbank C, Gaeta B, Morgan SL, Pauley MA, Rosenwald A, Rustici G, Sierk M, Warnow T, Welch L.  PMID:29390004 | PMCID:PMC5794068
  9. Insights into the genetics of blood pressure in black South African individuals: the Birth to Twenty cohort.  ardiovascular diseases (CVDs) are the leading cause of non-communicable disease deaths globally, with hypertension being a major risk factor contributing to CVDs. Blood pressure is a heritable trait, with relatively few genetic studies having been performed in Africans. This study aimed to identify genetic variants associated with variance in systolic (SBP) and diastolic (DBP) blood pressure in black South Africans. Hendry LM, Sahibdeen V, Choudhury A, Norris SA, Ramsay M, Lombard Z; of the AWI-Gen study and as members of the H3Africa Consortium.  PMID:29343252 | PMCID:PMC5773038
  10. Implementation of genomics research in Africa: challenges and recommendations.  There is exponential growth in the interest and implementation of genomics research in Africa. This growth has been facilitated by the Human Hereditary and Health in Africa (H3Africa) initiative, which aims to promote a contemporary research approach to the study of genomics and environmental determinants of common diseases in African populations.  Adebamowo SN, Francis V, Tambo E, Diallo SH, Landouré G, Nembaware V, Dareng E, Muhamed B, Odutola M, Akeredolu T, Nerima B, Ozumba PJ, Mbhele S, Ghanash A, Wachinou AP, Ngomi N.  PMID:29336236 | PMCID:PMC5769805
  11. The epidemiology of stroke in Africa: A systematic review of existing methods and new approaches.  Accurate epidemiological surveillance of the burden of stroke is direly needed to facilitate the development and evaluation of effective interventions in Africa. The authors therefore conducted a systematic review of the methodology of stroke epidemiological studies conducted in Africa from 1970 to 2017 using gold standard criteria obtained from landmark epidemiological publications. Owolabi M, Olowoyo P, Popoola F, Lackland D, Jenkins C, Arulogun O, Akinyemi R, Akinyemi O, Akpa O, Olaniyan O, Uvere E, Kehinde I, Selassie A, Gebregziabher M, Tagge R, Ovbiagele B. PMID:29228472 | PMCID:PMC5777902
  12. Clinical and genetic factors are associated with pain and hospitalisation rates in sickle cell anaemia in Cameroon.  We aimed to investigate the clinical and genetic predictors of painful vaso-occlusive crises (VOC) in sickle cell disease (SCD) in Cameroon. Socio-demographics, clinical variables/events and haematological indices were acquired. Genotyping was performed for 40 variants in 17 pain-related genes, three fetal haemoglobin (HbF)-promoting loci, two kidney dysfunctions-related genes, and HBA1/HBA2 genes. Statistical models using regression frameworks were performed in R.  Wonkam A, Mnika K, Ngo Bitoungui VJ, Chetcha Chemegni B, Chimusa ER, Dandara C, Kengne AP. PMID:29205277 | PMCID:PMC5847561
  13. APOL1, CDKN2A/CDKN2B, and HDAC9 polymorphisms and small vessel ischemic stroke.  Worldwide, the highest frequencies of APOL1-associated kidney variants are found in indigenous West Africans among whom small vessel disease (SVD) ischemic stroke is the most common stroke phenotype. The objective of this study was to investigate the association and effect sizes of 23 selected SNPs in 14 genes of relevance, including the APOL1 G1 variants, with the occurrence of SVD ischemic stroke among indigenous West African participants in the Stroke Investigative Research and Education Network (SIREN) Study. Akinyemi R, Tiwari HK, Arnett DK, Ovbiagele B, Irvin MR, Wahab K, Sarfo F, Srinivasasainagendra V, Adeoye A, Perry RT, Akpalu A, Jenkins C, Arulogun O, Gebregziabher M, Owolabi L, Obiako R, Sanya E, Komolafe M, Fawale M, Adebayo P, Osaigbovo G, Sunmonu T, et a. PMID:28975602 | PMCID:PMC5716854.
  14. HUMA: A platform for the analysis of genetic variation in humans. The completion of the human genome project at the beginning of the 21st century, along with the rapid advancement of sequencing technologies thereafter, has resulted in exponential growth of biological data. In genetics, this has given rise to numerous variation databases, created to store and annotate the ever-expanding dataset of known mutations. Usually, these databases focus on variation at the sequence level. Brown DK, Tastan Bishop Ö.  PMID:28967693 | PMCID:PMC5722678
  15. Pisa, P. T., Micklesfield, L. K., Kagura, J., Ramsay, M., Crowther, N. J., & Norris, S. A. (2018). Different adiposity indices and their association with blood pressure and hypertension in middle-aged urban black South African men and women: Findings from the AWI-GEN South African Soweto site.BMC Public Health, 18(1) doi:10.1186/s12889-018-5443-4
  16. Hendry, L. M., Sahibdeen, V., Choudhury, A., Norris, S. A., Ramsay, M., & Lombard, Z. (2018). Insights into the genetics of blood pressure in black South African individuals: The birth to twenty cohort.BMC Medical Genomics, 11(1) doi:10.1186/s12920-018-0321-6
  17. Asiki, G., Mohamed, S. F., Wambui, D., Wainana, C., Muthuri, S., & Ramsay, M. (2018). Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project. Global Health Action11(Suppl 2), 1470738. doi:10.1080/16549716.2018.1470738
  18. Nonterah, E. A., Debpuur, C., Agongo, G., Amenga-Etego, L., Crowther, N. J., & Ramsay, M. (2018). Socio-demographic and behavioural determinants of body mass index among an adult population in rural Northern Ghana: the AWI-Gen study. Global Health Action11(Suppl 2), 1467588. doi:10.1080/16549716.2018.1467588
  19. Micklesfield, L. K., Kagura, J., Munthali, R., Crowther, N. J., Jaff, N., Gradidge, P., & Ramsay, M. (2018). Demographic, socio-economic and behavioural correlates of BMI in middle-aged black men and women from urban Johannesburg, South Africa. Global Health Action, 11(Suppl 2), 1448250. Doi: 10.1080/16549716.2018.1448250
  20. Sahibdeen, V., Crowther, N. J., Soodyall, H., Hendry, L. M., Munthali, R. J., Hazelhurst, S., Choudhury, A., Norris, S.H., Ramsay, M. & Lombard, Z. (2018). Genetic variants in SEC16B are associated with body composition in black South Africans. Nutrition & Diabetes, 8, 43. org:10.1038/s41387-018-0050-0
  21. Ali, S.A., Soo, C., Agongo, G., Alberts, M., Amenga-Etego, L., Boua, P.R., Choudhury, A., Crowther, N.J., and Debpuur, C., et al., (2018) Genomic and environmental risk factors for cardiometabolic diseases in Africa: methods used for Phase 1 of the AWI-Gen population cross-sectional study. Global Health Action, 11(2) 1507133. Doi: 10.1080
  22. Boua, R. P., Sorgho, H., Rouamba, T., Nakanabo Diallo, S., Bognini, J. D., Konkobo, S. Z., Valia, D., Lingani, M., Ouoba, S., Tougma, A. S., Bihoun, B., Crowther, N. J., Norris, S. A., Ramsay, M., Tinto, H., as members of AWI-Gen and the H3Africa Consortium (2018). Gender differences in sociodemographic and behavioural factors associated with BMI in an adult population in rural Burkina Faso – an AWI-Gen sub-study. Global health action, 11(sup2), 1527557. DOI: 10.1080/16549716.2018.1527557
  23. Agongo G, Nonterah EA, Debpuur C, Amenga-Etego L, Ali S, Oduro A, Crowther NJ, Ramsay M; as members of AWI-Gen and the H3Africa Consortium. (2018) The burden of dyslipidaemia and factors associated with lipid levels among adults in rural northern Ghana: An AWI-Gen sub-study. PLOS ONE 13(11): e0206326. https://doi.org/10.1371/journal.pone.0206326
  24. Mashinya F, Alberts M, Cook I, Ntuli S. Determinants of body mass index by gender in the Dikgale Health and Demographic Surveillance System site, South Africa. Glob Health Action. 2018;11(sup2):1537613. doi:10.1080/16549716.2018.1537613. PubMed PMID: 30392446; PubMed Central PMCID: PMC6225484.
  25. Michèle Ramsay, Nigel J. Crowther, Godfred Agongo, Stuart A. Ali, Gershim Asiki, Romuald P. Boua, F. Xavier Gómez-Olivé, Kathleen Kahn, Christopher Khayeka-Wandabwa, Felistas Mashinya, Lisa Micklesfield, Freedom Mukomana, Engelbert A. Nonterah, Cassandra Soo, Hermann Sorgho, Alisha N. Wade, Ryan G. Wagner, Marianne Alberts, Scott Hazelhurst, Catherine Kyobutungi, Shane A. Norris, Abraham R. Oduro, Osman Sankoh, Halidou Tinto, Stephen Tollman & as members of AWI-Gen and the H3Africa Consortium (2018) Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries: The H3Africa AWI-Gen study, Global Health Action, 11:sup2, 1556561, DOI: 10.1080/16549716.2018.1556561