Leonardo Mariño‐Ramírez

The paper identifies African ancestry-enriched variants in the GATM gene associated with elevated serum creatinine levels, explaining higher levels in African ancestry individuals.

The paper analyzes genetic ancestry and population structure in the All of Us Research Program cohort, revealing diverse ancestry patterns and population structure.

CODIGO releases genomic data from 1,441 Colombian samples, revealing ancestry clusters and genetic associations with health traits and pharmacogenomics.

This paper uses explainable machine learning to identify and quantify T2D risk factors contributing to health disparities among different racial and ethnic groups in the All of Us research program.

The paper develops inverse probability weights to reduce volunteer bias in the All of Us cohort, improving its representativeness and external validity.

Rye infers genetic ancestry at biobank scale with high accuracy and 50x faster runtime than ADMIXTURE on UK Biobank data.

BAMscale processes DNA sequencing datasets to generate normalized peak scores and scaled coverage tracks for visualization.

This paper predicts the neuroprotective potential of seven nicotine analogs against Parkinson's disease using a deep learning model integrating structural data and signaling pathway analysis.