Our Research

The primary product of our research is peer-reviewed publications.  Our researchers have collectively published over 500 papers in scholarly journals reaching a variety of scientific fields.  The National Library of Medicine assigns Medical Subject Heading (MeSH) terms to all biomedical publications - the graph to the right shows the breakdown of MeSH terms for our institute publications.  Links to many of our publications can be found below.  

Featured Publications

You can sort our publications by the following MeSH terms:

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American Brain Tumor Association Adolescent and Young Adult Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008-2012.
Are Interactions between cis-Regulatory Variants Evidence for Biological Epistasis or Statistical Artifacts?
Discovery of gene-gene interactions across multiple independent data sets of late onset Alzheimer disease from the Alzheimer Disease Genetics Consortium.
eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants.
eMERGEing progress in genomics-the first seven years.
Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium.
Genetic variation among 82 pharmacogenes: The PGRNseq data from the eMERGE network.
Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors.
Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studies.
Is Isolated Low High-Density Lipoprotein Cholesterol a Cardiovascular Disease Risk Factor? New Insights From the Framingham Offspring Study.
Knowledge-constrained K-medoids Clustering of Regulatory Rare Alleles for Burden Tests.
LD-spline: mapping SNPs on genotyping platforms to genomic regions using patterns of linkage disequilibrium.
Pathway analysis by randomization incorporating structure-PARIS: an update.
Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data.
Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry.