Fongang Bernard, Ayele Biniyam A, Wadop Yannick N, Epenge Emmanuel, Nkouonlack Cyrille D, Njamnshi Wepnyu Y, Jian Xueqiu, Sargurupremraj Murali, Djotsa Alice B S Nono, Seke Etet Paul F, Bernal Rebecca, Atangana Abdon, Cavazos Jose E, Himali Jayandra Jung, Fonteh Alfred N, Maestre Gladys, Njamnshi Alfred K, Seshadri Sudha
Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases UT Health San Antonio San Antonio Texas USA.
Department of Biochemistry and Structural Biology UT Health San Antonio San Antonio Texas USA.
Alzheimers Dement (N Y). 2024 Oct 31;10(4):e70002. doi: 10.1002/trc2.70002. eCollection 2024 Oct-Dec.
Neurodegenerative disorders, including Alzheimer's disease and AD-related dementias (AD/ADRD), pose significant challenges to health care systems globally, particularly in Africa. With the advances in medical technology and research capabilities, especially in next-generation sequencing and imaging, vast amounts of data have been generated from AD/ADRD research. Given that the greatest increase in AD/ADRD prevalence is expected to occur in Africa, it is critical to establish comprehensive bioinformatics training programs to help African scientists leverage existing data and collect additional information to untangle AD/ADRD heterogeneity in African populations. The South Texas Alzheimer's Disease Research Center, with efforts from the National Institutes of Health and the Global Brain Health Institute, has partnered with the Brain Research Africa Initiative to develop the frican nitiative on ioinformatics nline Training in eurodegenerative isease (). AI-BOND is a comprehensive and accessible training program, the aim of which is to advance biostatistics and bioinformatics expertise in Africa in studying neurodegenerative diseases. This expertise is essential to enable African scientists to utilize the extensive AD/ADRD data and enhance the continent's ability to contribute to global research efforts in this field. The training addresses the gap in analyzing neurodegenerative disease data by providing skills and knowledge in genetic epidemiology, biostatistics, and bioinformatics to African students and researchers. This innovative online training program will last 6 months and provide training in skill sets R, SAS, and Python programing, genome-wide association studies, genomics, transcriptomics, proteomics, metabolomics, microbiome analysis, and advanced statistical methods. Additional training will include study design and manuscript and grant writing. The first cohort of the AI-BOND program will graduate in June 2024. The AI-BOND program is expected to build research computational capacities in Africa that will improve the ability of graduates to conduct and utilize large-scale studies, with the goal of curbing the growing incidence of neurodegenerative diseases in Africa.
Alzheimer's disease (AD) and AD-related dementias (ADRD) pose significant health challenges globally, particularly in Africa.The most significant AD/ADRD prevalence increase is predicted to occur in Africa.It is crucial to establish a bioinformatics training capacity in Africa to leverage the vast number of multi-omics and imaging biomarkers of AD/ADRD data being generated.The African Initiative on Bioinformatics Online Training in Neurodegenerative Disease (AI-BOND) training addresses the gaps in study design, biostatistics, genetic epidemiology, and bioinformatics related to neurodegenerative diseases in Africa.The success of AI-BOND is anticipated to help build computational research capacities in Africa.
神经退行性疾病,包括阿尔茨海默病及与阿尔茨海默病相关的痴呆症(AD/ADRD),给全球医疗保健系统带来了重大挑战,在非洲尤为如此。随着医疗技术和研究能力的进步,特别是在下一代测序和成像方面,AD/ADRD研究产生了大量数据。鉴于AD/ADRD患病率预计将在非洲出现最大幅度的增长,建立全面的生物信息学培训项目以帮助非洲科学家利用现有数据并收集更多信息来理清非洲人群中AD/ADRD的异质性至关重要。南德克萨斯阿尔茨海默病研究中心在美国国立卫生研究院和全球脑健康研究所的努力下,与非洲脑研究倡议合作,开发了神经退行性疾病生物信息学在线培训非洲倡议(AI-BOND)。AI-BOND是一个全面且易于获取的培训项目,其目的是提升非洲在研究神经退行性疾病方面的生物统计学和生物信息学专业知识。这种专业知识对于使非洲科学家能够利用大量的AD/ADRD数据并增强该大陆为这一领域的全球研究工作做出贡献的能力至关重要。该培训通过向非洲学生和研究人员提供遗传流行病学、生物统计学和生物信息学方面的技能和知识,解决了分析神经退行性疾病数据方面的差距。这个创新的在线培训项目将持续6个月,并提供R、SAS和Python编程、全基因组关联研究、基因组学、转录组学、蛋白质组学、代谢组学、微生物组分析以及高级统计方法等技能集的培训。额外的培训将包括研究设计以及论文和资助申请撰写。AI-BOND项目的第一批学员将于2024年6月毕业。预计AI-BOND项目将在非洲建立研究计算能力,提高毕业生开展和利用大规模研究的能力,目标是遏制非洲神经退行性疾病发病率的不断上升。
阿尔茨海默病(AD)及与阿尔茨海默病相关的痴呆症(ADRD)给全球带来了重大健康挑战,在非洲尤为突出。预计AD/ADRD患病率增长幅度最大的地区将是非洲。在非洲建立生物信息学培训能力以利用所产生的大量AD/ADRD数据的多组学和成像生物标志物至关重要。神经退行性疾病生物信息学在线培训非洲倡议(AI-BOND)培训解决了非洲在与神经退行性疾病相关的研究设计、生物统计学、遗传流行病学和生物信息学方面的差距。预计AI-BOND的成功将有助于在非洲建立计算研究能力。