Omar Cáceres

This paper introduces a coalescent-based framework to unify population structure and relatedness analysis, showing that full GRMs can replace PCs for modeling genetic covariance.

The Peruvian Genome Project collects and analyzes genomic data from native and mestizo populations in Peru to address underrepresentation in global genome databases and uncover genetic adaptations to local environments.

The paper analyzes genome-wide data from 432 Peruvian urban individuals to reveal fine-scale population structure, admixture dynamics, and demographic patterns shaped by ancient and recent events.

This study optimizes a PCR-ELISA method to detect rifampicin resistance mutations in sputum samples, showing high specificity and agreement with a commercial test.

This study presents a high-coverage whole-genome sequencing dataset of 1,171 admixed elderly Brazilians, identifying novel variants and demonstrating the utility of WGS for genomic and clinical research in underrepresented populations.

The paper analyzes SARS-CoV-2 genomes from early pandemic samples in Peru, revealing local transmission after initial introductions from Europe and Asia.

This study sequenced and analyzed genomes from Native American and mestizo populations in Peru to reconstruct their demographic history and genetic admixture patterns.