|Video of the Researcher|
Center for Proteomic and Genetics Research
Identifying genetic risk factors in men of African decent
|Type of researcher|
|Introduce yourself, your experience and your credentials||
Hi, I’m Olabode Ajayi. I come from Nigeria. My education background consists of a BSc Honors degree in Computer Science and a Master’s degree in Bioinformatics through the South African National bioinformatics Institute at the University of the Western Cape.
I’m currently residing in South Africa and I work at the Centre for Proteomic and Genomic Research, also known as CPGR as a bioinformatics specialist and software developer.
When I’m not at CPGR, one of the things I do is giving back to the community. Giving back to the community sometimes involves bringing people together and working towards a single cause.
Here is my community where I teach Python programming for African students building for sustainable development goal. It’s a Facebook program where I join force in analyzing and developing software that assists to accurately predict the spread of Covid-19 around the world.
I’m constantly looking for opportunities in machine learning research for population genetics. Please get in touch if any of my research interests match what you are working on. You can check out the code of my source project on github.
|Describe your research||
In bioinformatics, biological data found the raw material for translational bioinformatics. The key aspect of bioinformatics is the
creation of data algorithm and specialized computer software to identify and also classify the components of a biological system such as DNA, RNA, and protein sequences.
My day to day work a CPGR including building and designing bioinformatics data pipeline, processing and analyzing biological data for gene identification, statistical genetic and translational applications, variant detection, and discovery via sequence data. Aiming to implement a reproducible workflow protocol that can be used in translational and precision medicine to tackle infection diseases.
In addition to my role at CPGR, I’m part of a consortium, MADCaP, also known as the Men of African Descent and Carcinoma of the prostate. MADCaP is a Pan-African genome-wide association study that aim at identifying genetic risk factors that underpin prostate cancer development in men of African descent.
In MADCaP, we make use of genome-wide association study framework. GWAS are a very powerful tool for researchers to examine a human genome to detect genetic risk factors. We use it to reveal the genetic architecture of diseases and whole new opportunity for treatment and prevention.
|Explain its significance||
MADCaP aims to validate and extend findings on genomic regions that have been associated with prostate cancer risk in genome-wide association studies to represent the under-represented African population compared to the European population.
CPGR has taken the lead in managing MADCaP samples and the data component of the project. This involves site visits to all African collaborative centers, on-site training, and capacity development at collaborating center. As a bioinformatician on the project I’m responsible for the development of standard operating procedure also known as SOPs, assisting with data analysis and also processing it.
I’m interested in machine learning research and epidemiological study on clinical trials and precision medicine for patients in care. Precision medicine, as you all know, uses advanced biomedical tools including genetics and big data analytics to help doctors better predict which treatments and prevention strategies we want best for which patients. So one benefit is by providing the care the patient needs in an affordable safe effective manner.
Center for Proteomic and Genetic Research
|Type of institution|
|Health care and social assistance|