Ani W. Manichaikul


  • PhD, Johns Hopkins University

Primary Appointment

  • Assistant Professor, Public Health Sciences


Research Interest(s)

Statistical Genetics, Genetic Epidemiology, Biostatistics, Network analysis

Research Description

My research lies in the areas of mathematical and statistical modeling of biological systems, with an emphasis on 1) quantitative trait mapping in experimental crosses, 2) analysis of genome-wide association studies, and 3) pathway analysis and gene network modelling. I am also using integrative genomic and bioinformatic approaches toward the ultimate goal of mapping functional variants for complex genetic traits.

I am actively involved in genome-wide association analysis of cardiovascular and pulmonary phenotypes performed through the Multi-Ethnic Study of Atherosclerosis (MESA). We are performing post-GWAS research, including gene-environment interaction studies, fine mapping studies, and candidate gene investigations with collaborators who are experts in animal models and in vitro studies of more focused genetic pathways. We are working actively on integrative 'omics combining genomic, transcriptomic, proteomic and other high-dimensional data sets from the NHLBI Trans-omics for Precision Medicine (TOPMed) project, the Genotype-Tissue Expression (GTEx) project, and others to identify causal genes and pathways influencing diseases of interest.