Leonardo Mariño-Ramírez, Ph.D.

Stadtman Investigator

Epidemiology and Genetics Research Area

NIMHD

Building 3, Room 5W23
3 Center Drive
Bethesda, MD 20814

301-402-1366

marino@nih.gov

Research Topics

The sequence of the human genome has accelerated biomedical research in unprecedented ways. In the last 20 years, we have developed technologies that increase our understanding of the biological functions encoded in the genome and made significant advances to reconstruct the evolution and history of the human species. Today we are starting to fulfill the promise of genomics for personalized medicine and healthcare. Interestingly, and for a variety of reasons publicly funded databases continue to miss a vast portion of the world's genetic variation. As of January 2018, the GWAS catalog has registered 78% of individuals from European ancestry while underrepresented populations make up less than 4% including African (2.4%), Hispanic or Latin American (1.3%) and Native American (0.03%). The sampling bias is referred to as the genomics research gap and has the potential to exacerbate existing health disparities among underrepresented and underserved populations.

My research focuses on the joint analysis of (i) genetic ancestry and (ii) electronic health records in large biobank cohorts (e.g. UK Biobank, All of Us, TOPMed, Million Veteran Program) for the purpose of disease gene, variant discovery and mapping. I hypothesize that patterns of genetic ancestry and admixture in modern cosmopolitan populations like the ones in the US and Latin America can serve as a powerful tool for the characterization of the genetic architectures for a wide variety of health conditions affecting the country. My broad approach to close the genomic research gap entails the following specific steps: First: Local genetic ancestry characterization. Second: Computational phenotyping with electronic health records (EHRs). Third: Disease gene and variant discovery and mapping via genetic ancestry and admixture analysis.

Biography

Leonardo Mariño-Ramírez, PhD, is an Earl Stadtman Investigator in the Epidemiology and Genetics Research Area of the Division of Intramural Research (DIR) of the National Institute on Minority Health and Health Disparities (NIMHD). He uses integrative approaches to solve complex and challenging biological problems focused on reducing health disparities for underrepresented populations in the U.S. Dr. Mariño-Ramírez has an educational background in Microbiology and Biochemistry, including post-doctoral training focused on the development of computational methods to study the molecular and cellular interactions controlling gene expression in eukaryotes along with the evolution of eukaryotic gene regulatory elements, and more recently genetic ancestry and admixture in underrepresented populations. He received a BSc in Microbiology from Universidad de Los Andes and a PhD in Biochemistry from Texas A&M University. He believes in creativity and diversity as an approach to solve scientific challenges and is a strong advocate of international and interdisciplinary collaboration. He is the recipient of four Fulbright fellowships. Dr. Mariño-Ramírez is an Editor for a number of peer-reviewed journals and a founding member of the Panamerican Bioinformatics Institute. The focus of his research is the joint analysis of genetic ancestry and electronic health records in large biobank cohorts for the purpose of disease gene, variant discovery and mapping.

Selected Publications

  1. Norris ET, Wang L, Conley AB, Rishishwar L, Mariño-Ramírez L, Valderrama-Aguirre A, Jordan IK. Genetic ancestry, admixture and health determinants in Latin America. BMC Genomics. 2018;19(Suppl 8):861.

  2. Conley AB, Rishishwar L, Norris ET, Valderrama-Aguirre A, Mariño-Ramírez L, Medina-Rivas MA, Jordan IK. A Comparative Analysis of Genetic Ancestry and Admixture in the Colombian Populations of Chocó and Medellín. G3 (Bethesda). 2017;7(10):3435-3447.

  3. Rishishwar L, Mariño-Ramírez L, Jordan IK. Benchmarking computational tools for polymorphic transposable element detection. Brief Bioinform. 2017;18(6):908-918.

  4. Vera Alvarez R, Medeiros Vidal N, Garzón-Martínez GA, Barrero LS, Landsman D, Mariño-Ramírez L. Workflow and web application for annotating NCBI BioProject transcriptome data. Database (Oxford). 2017;2017.

  5. Wang L, Rishishwar L, Mariño-Ramírez L, Jordan IK. Human population-specific gene expression and transcriptional network modification with polymorphic transposable elements. Nucleic Acids Res. 2017;45(5):2318-2328.


This page was last updated on July 8th, 2020