Candelaria Vergara

This study identifies novel genetic risk loci for pancreatic ductal adenocarcinoma in African ancestry individuals through admixture mapping and GWAS.

This paper shows that using a genome graph instead of a linear reference improves HBV sequence alignment and sample-specific consensus sequence construction.

This study shows that using population-based common controls in GWAS of infectious diseases can lead to biased effect estimates and spurious associations due to unaccounted pathogen exposure.

This paper benchmarks statistical methods for analyzing parent-child dyads in genetic association studies, finding that some methods better control type I error and power compared to others.

This study compares genotype imputation performance of three African ancestry reference panels in African American cohorts, finding 1000G provides the highest imputation quality and coverage.

The paper designs a genotyping array (ADPC) for African-specific genetic variation using whole genome sequences from the CAAPA consortium, improving GWAS for African ancestry populations.

This study identifies novel asthma susceptibility loci in individuals of African ancestry through genome-wide association analysis and admixture mapping.