Epidemiologic Architecture for Genes Linked to Environment (EAGLE) MetaboChip Study

The Next PAGE in Understanding Complex Traits: Design for the Analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study

T. Matise, J. Ambite, S. Buyske, et al.. (2011). American Journal of Epidemiology. Cited 131 times. https://doi.org/10.1093/aje/kwr160

Evaluation of the Metabochip Genotyping Array in African Americans and Implications for Fine Mapping of GWAS-Identified Loci: The PAGE Study

S. Buyske, Ying Wu, C. Carty, et al.. (2012). PLoS ONE. Cited 73 times. https://doi.org/10.1371/journal.pone.0035651

Leveraging Epidemiologic and Clinical Collections for Genomic Studies of Complex Traits

D. Crawford, Robert J. Goodloe, E. Farber-Eger, et al.. (2015). Human Heredity. Cited 25 times. https://doi.org/10.1159/000381805

Characterization of the Metabochip in diverse populations from the International HapMap Project in the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project.

D. Crawford, Robert J. Goodloe, K. Brown-Gentry, et al.. (2012). Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. Cited 11 times. https://doi.org/10.1142/9789814447973_0019

Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry

L. Dumitrescu, Nicole A. Restrepo, Robert J. Goodloe, et al.. (2015). BioData Mining. Cited 11 times. https://doi.org/10.1186/s13040-015-0068-y

The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study

L. Dumitrescu, Robert J. Goodloe, Y. Bradford, et al.. (2015). BioData Mining. Cited 8 times. https://doi.org/10.1186/s13040-015-0048-2