Author

Olubanke Olujoke Ogunlana

Covenant UniversityORCID 0000-0001-5781-592XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1

Frequent Co-Authors

David EnomaiD· 2 shared Anthony Micheal Idedia· 1 shared Christogonus Chichebe EkenwanezeiD· 1 shared Omoremime Elizabeth DaniaiD· 1 shared Victor Chukwudi OsamoriD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

David EnomaORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintDec 22, 2025

Deciphering the Genomic architecture of three major Cancers in African-Ancestry Populations

David Enoma, Anthony Micheal Idedia, Christogonus Chichebe Ekenwaneze…·Olubanke Olujoke Ogunlana

This study identifies cancer risk loci and genetic architectures in African-ancestry populations using GWAS and PRS, highlighting disparities in predictive performance across cancers.

DOI 10.64898/2025.12.19.25342629

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 27, 2023

Extreme gradient boosting machine learning algorithm identifies genome-wide relevant genetic variants in prostate cancer risk prediction.

David Enoma, Victor Chukwudi Osamor, Olubanke Olujoke Ogunlana

The paper uses XGBoost to identify genetic variants associated with prostate cancer risk, finding 2798 SNPs linked to 847 genes with non-linear interactions.

4 citations

humanGWAS summary statistics

𝕏 PostBluesky