Eric E. Schadt

Genetics of gene expression and its effect on disease

Mapping the Genetic Architecture of Gene Expression in Human Liver

Genetic variants that are associated with common human diseases do not lead directly to disease, but instead act on intermediate, molecular phenotypes that in turn induce change...

Mapping cis- and trans-regulatory effects across multiple tissues in twins

Obesity and genetics regulate microRNAs in islets, liver, and adipose of diabetic mice

Liver and Adipose Expression Associated SNPs Are Enriched for Association to Type 2 Diabetes

Genome-wide association studies (GWAS) have demonstrated the ability to identify the strongest causal common variants in complex human diseases. However, to date, the massive da...

Bayesian method to predict individual SNP genotypes from gene expression data

Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data

Algorithms for performing feature extraction and normalization on high-density oligonucleotide gene expression arrays, have not been fully explored, and the impact these algorit...

Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Analyzing high-density oligonucleotide gene expression array data

We have developed methods and identified problems associated with the analysis of data generated by high-density, oligonuceotide gene expression arrays. Our methods are aimed at...

Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease

The Collaborative Cross, a community resource for the genetic analysis of complex traits

Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics

Genetic association studies, in particular the genome-wide association study (GWAS) design, have provided a wealth of novel insights into the aetiology of a wide range of human ...