Close

Dr Oyesola Ojewunmi

Assistant Professor - Genetic Epidemiology

London School of Hygiene & Tropical Medicine
Keppel Street
London
WC1E 7HT
United Kingdom

Oyesola is a Research Fellow in Genetic Epidemiology at the London School of Hygiene and Tropical Medicine (LSHTM), London, UK. He earned a PhD in biochemistry from the University of Lagos, Nigeria, with a distinction. Prior to joining LSHTM, Oyesola held a position as a Research Associate at King’s College London for three years, during which he spearheaded a groundbreaking genome-wide association study focusing on fetal haemoglobin in Nigerian patients with Sickle Cell Disease. Notably, his outstanding work earned him the Best Poster Presentation at the Haematology Away Day at King’s College London and the Best Oral Presentation at the London Genetics Network in 2022.

His research journey has equipped him with diverse skills essential for advancing genetic studies. This spans from hands-on wet lab-based experiments to in-depth statistical-genetic analyses, covering genome-wide association testing, haplotype association analysis, fine-mapping, and meta-analysis.

Actively contributing to the academic community through teaching, his engagement with undergraduate and postgraduate students involves providing training and supervision, showcasing his commitment to nurturing the next generation of researchers. 

Affiliations

MRC/UVRI and LSHTM Uganda Research Unit

Teaching

  • I have experience teaching students through one-on-one sessions, small group tutoring, and large class lectures to foster engaging discussions and promote curiosity-driven learning. I provide pastoral support to the MSc and PhD students within our group.
  • I teach genome-wide association study (Genomics health data module) in the MSc Health Data Science programme.
  • I supervised and mentored a LIDo's PhD student on rotation in our Department (February - June 2024).

Research

In my research we are developing innovative methods for conducting meta-analysis and fine-mapping of genome-wide association studies. I am passionate about sickle cell disease research, particularly using multi-omics approach and machine learning to understand underlying biology/genetics of sickle cell disease complications.

Research Area
Genetic epidemiology
Haematology
Human genetics
Disease and Health Conditions
Sickle-cell disease
Cardiovascular diseases
Kidney disease
Country
Nigeria
United Kingdom
Uganda
Region
Sub-Saharan Africa (all income levels)

Selected Publications

Genomic medicine is failing most of humanity.
OJEWUNMI, OO; FATUMO, S;
2026
Nature reviews. Nephrology
KidneyGenAfrica multi-cohort Genome-wide association study and polygenic prediction of kidney function in 110,000 Africans.
Kamiza, AB; Chikowore, T; Chen, G; OJEWUNMI, O; Machipisa, T; Zhou, F; Mayanja, R; Toure, S; Soremekun, O; Kintu, C; Nakabuye, M; Koprulu, M; KALUNGI, A; Kalyesubula, R; Salako, B; Nashiru, O; Corpas, M; Robinson-Cohen, C; Franceschini, N; Pattaro, C; Köttgen, A; NITSCH, D; Langenberg, C; Tcheandjieu, C; NYIRENDA, M; ... FATUMO, S.
2026
Nature communications
Multi-ancestry fine-mapping accounting for ancestral and environmental heterogeneity improves resolution and interpretation
Wang, S; OJEWUNMI, OO; Pirie, FJ; Motala, AA; Ramsay, M; Morris, AP; FATUMO, S; Chikowore, T; Asimit, JL;
2025
openRxiv
KidneyGenAfrica, a pan-African partnership to deliver research and training excellence in genomics of kidney disease.
FATUMO, S; OJEWUNMI, O; Camenzuli, R; Kintu, C; Kamiza, A; Brandenburg, J-T; KALUNGI, A; Kalyesubula, R; Salako, B; Nash, O; CRAMPIN, A; Adeyemo, A; NYIRENDA, M; Ramsay, M; Fabian, J; KidneyGenAfrica Consortium,;
2025
Nature genetics
Fetal-hemoglobin-expressing red blood cells ("F cells") consist of three distinct types as revealed by single-cell transcriptomic analysis of circulating reticulocytes.
Rooks, H; Ng, C; Oikonomopoulos, S; Hoss, SE; Turner, C; Kong, KL; Mian, S; Daniel, Y; OJEWUNMI, OO; Brewin, J; Rees, D; Mufti, GJ; Ragoussis, J; Strouboulis, J; Menzel, S;
2025
HemaSphere
Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies.
Wang, S; OJEWUNMI, OO; Kamiza, A; Ramsay, M; Morris, AP; Chikowore, T; FATUMO, S; Asimit, JL;
2024
Communications biology
Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies
Wang, S; OJEWUNMI, O; Kamiza, A; Ramsay, M; Morris, A; Chikowore, T; FATUMO, S; Asimit, J;
2024
bioRxiv
The genetic dissection of fetal haemoglobin persistence in sickle cell disease in Nigeria.
OJEWUNMI, OO; Adeyemo, TA; Oyetunji, AI; Inyang, B; Akinrindoye, A; Mkumbe, BS; Gardner, K; Rooks, H; Brewin, J; Patel, H; Lee, SH; Chung, R; Rashkin, S; Kang, G; Chianumba, R; Sangeda, R; Mwita, L; Isa, H; Agumadu, U-N; Ekong, R; Faruk, JA; Jamoh, BY; Adebiyi, NM; Umar, IA; Hassan, A; ... Menzel, S.
2024
Human molecular genetics
The genetic dissection of fetal haemoglobin persistence in sickle cell disease in Nigeria
OJEWUNMI, O; Adeyemo, T; Oyetunji, A; Inyang, B; Akinrindoye, A; Mkumbe, B; Gardner, K; Rooks, H; Brewin, J; Patel, H; Lee, S-H; Chung, R; Rashkin, S; Kang, G; Chianumba, R; Sangeda, R; Mwita, L; Isa, H; Agumadu, U-N; Ekong, R; Faruk, J; Jamoh, B; Adebiyi, N; Umar, I; Hassan, A; ... Menzel, S.
2023
medRxiv
See more information