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Maria Loreto Muñoz

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Maria Loreto Muñoz, PhD

Doctor in Genetic Epidemiology, The University of Groningen 2016

 https://orcid.org/0000-0003-2308-4158
20142014

Research activity per year

Personal profile

Research Interests

As a Genetic Epidemiologist and Data Scientist, my research integrates multi-omic data—including genomics, epigenomics, and proteomics—to understand how inherited predispositions and environmental factors influence brain and cardiovascular aging. My current work focuses on developing population-specific biological aging clocks tailored to Latin American cohorts, directly addressing a critical gap in health equity. By combining classical epidemiology with advanced computational tools and machine learning, I aim to translate complex molecular signatures into actionable, equitable clinical tools for managing age-related complex diseases.

Key Words

Genetic Epidemiology, Data Science, Multi-omics, Epigenomics, Machine Learning, Brain Aging, Cardiovascular Health, Biological Clocks, Population Diversity, Health Equity

Profession

BSc. in Cellular and Molecular Biology, University of Stellenbosch 2008

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  • Identifying genetic variants for heart rate variability in the acetylcholine pathway

    Riese, H., Muñoz, L. M., Hartman, C. A., Ding, X., Su, S., Oldehinkel, A. J., Van Roon, A. M., Van Der Most, P. J., Lefrt, J., Gansevoort, R. T., Van Der Harst, P., Verweij, N., Licht, C. M. M., Boomsma, D. I., Hottenga, J. J., Willemsen, G., Penninx, B. W. J. H., Nolte, I. M., De Geus, E. J. C. & Wang, X. & 1 others, Snieder, H., 10 Nov 2014, In: PLoS ONE. 9, 11, e112476.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    12 Scopus citations