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Professor Segun Fatumo

Queen Mary University London

Professor Segun Fatumo is a computational geneticist with a specialty in Genomics of Non-Communicable Diseases (NCD) in African Populations. He is the head of NCD Genomics at MRC Uganda and the Chair of Genomic Diversity at QMUL. Segun Fatumo specialises in genome-wide association studies (GWAS), Polygenic Risk Score Analysis (PRS) and Mendelian Randomisation (MR). Segun Fatumo is strongly committed to increasing diversity in genomic studies and was recently awarded the prestigious MRC Impact prize for advocating for the inclusion of Africa in genomic research and championing genetic risk prediction of complex diseases in Africa.

Professor Fatumo leads the Uganda Genome Resource and co-leads the Nigerian Non-Communicable Diseases - Genetic Heritage Study (NCD-GHS) Consortium - A concerted effort to see over 100,000 Nigerians participate in the eponymous study, which will seek to understand the genetic basis of the highly prevalent non-Communicable Diseases (NCDs) in Nigeria such as chronic kidney, diabetes, obesity among others. Segun Fatumo is highly collaborative and involved in major genomics consortia including H3Africa, CKDGen, MAGIC, GBMI, PGC-Africa, IHCC, GLGC and PRIMED/CARDINAL. He is the Founder and pioneer President of the Nigerian Bioinformatics and Genomics Network and the immediate past vice-president of the African Society for Bioinformatics and Computational Biology (ASBCB).

Professor Fatumo received postdoctoral training in genetic epidemiology at the University of Cambridge and Wellcome Sanger Institute and a postdoctoral fellowship in Bioinformatics at the University of Georgia, Athens, USA. Prior to that, He had postgraduate training in applied Bioinformatics at the University of Cologne, Germany and PhD in Computer Science (Bioinformatics specialization) from Covenant University, Nigeria. During his Ph.D. Programme, he developed a model which identified twenty-two (22) potential novel drug targets against malaria, some of which have been tested and validated experimentally.

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