Medicine and Health Sciences Commons^™

Variants In Cxcr4 Associate With Juvenile Idiopathic Arthritis Susceptibility., Terri H. Finkel, Jin Li, Zhi Wei, Wei Wang, Haitao Zhang, Edward M. Behrens, Emma L. Reuschel, Sophie Limou, Carol Wise, Marilynn Punaro, Mara L. Becker, Jane E. Munro, Berit Flatø, Øystein Førre, Susan D. Thompson, Carl D. Langefeld, David N. Glass, Joseph T. Glessner, Cecilia E. Kim, Edward Frackelton, Debra K. Shivers, Kelly A. Thomas, Rosetta M. Chiavacci, Cuiping Hou, Kexiang Xu, James Snyder, Haijun Qiu, Frank Mentch, Kai Wang, Cheryl A. Winkler, Benedicte A. Lie, Justine A. Ellis, Hakon Hakonarson

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease among children, the etiology of which involves a strong genetic component, but much of the underlying genetic determinants still remain unknown. Our aim was to identify novel genetic variants that predispose to JIA.

METHODS: We performed a genome-wide association study (GWAS) and replication in a total of 1166 JIA cases and 9500 unrelated controls of European ancestry. Correlation of SNP genotype and gene expression was investigated. Then we conducted targeted resequencing of a candidate locus, among a subset of 480 cases and 480 controls. SUM test was performed …

The Genome-Enabled Electronic Medical Record., M A Hoffman

Manuscripts, Articles, Book Chapters and Other Papers

The integration of patient-specific genomic information into the electronic medical record (EMR) will create many opportunities to improve patient care. Key to the successful incorporation of genomic information into the EMR will be the development of laboratory information systems capable of appropriately formatting molecular diagnostic and cytogenetic findings in the EMR. Due to the lack of granular genomics-related content in existing medical vocabularies, the adoption of new standards for describing clinically significant genomic information will be an important step toward recognizing the genome-enabled EMR. Appropriate capture of patient-specific genomic results in the EMR will generate new opportunities to utilize this …