Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network. - Robert J. Carroll; Katherine P. Liao; Anne E. Eyler; Lisa Bastarache; Dana C. Crawford; Peggy L. Peissig; Jyotishman Pathak; David Carrell; Abel N. Kho; Rongling Li; Daniel R. Masys; Gail P. Jarvik; et al. (AMIA, 2012)

A Template for Authoring and Adapting Genomic Medicine Content in the eMERGE Infobutton Project. - Casey L. Overby; Luke V. Rasmussen; Andrea L. Hartzler; John J. Connolly; Josh F. Peterson; RoseMary Hedberg; Robert R. Freimuth; Brian H. Shirts; Joshua C. Denny; Eric B. Larson; Christopher G. Chute; Gail P. Jarvik; et al. (AMIA, 2014)

Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). - Rishika De; Shefali S. Verma; Fotios Drenos; Emily Rose Holzinger; Michael Holmes; Molly A. Hall; David R. Crosslin; David Carrell; Hakon Hakonarson; Gail P. Jarvik; Eric B. Larson; Jennifer A. Pacheco; et al. (BioData Min., 2015)

Desiderata for computable representations of electronic health records-driven phenotype algorithms. - Huan Mo; William K. Thompson; Luke V. Rasmussen; Jennifer A. Pacheco; Guoqian Jiang; Richard C. Kiefer; Qian Zhu 003; Jie Xu 011; Enid N. H. Montague; David S. Carrell; Todd Lingren; Frank D. Mentch; et al. (J. Am. Medical Informatics Assoc., 2015)

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. - Emily Rose Holzinger; Shefali S. Verma; Carrie Colleen Buchanan Moore; Molly A. Hall; Rishika De; Diane Gilbert-Diamond; Matthew B. Lanktree; Nathan Pankratz; Antoinette Amuzu; Amber Burt; Caroline Dale; Scott M. Dudek; et al. (BioData Min., 2017)

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. - Xinyuan Zhang 003; Yogasudha Veturi; Shefali Setia Verma; William Bone; Anurag Verma; Anastasia Lucas; Scott J. Hebbring; Joshua C. Denny; Ian B. Stanaway; Gail P. Jarvik; David R. Crosslin; Eric B. Larson; et al. (PSB, 2019)

Enhancing the use of EHR systems for pragmatic embedded research: lessons from the NIH Health Care Systems Research Collaboratory. - Rachel L. Richesson; Keith A. Marsolo; Brian J. Douthit; Karen L. Staman; P. Michael Ho; Dana L. Dailey; Andrew D. Boyd; Kathleen McTigue; Miriam O. Ezenwa; Judith M. Schlaeger; Crystal L. Patil; Keturah R. Faurot; et al. (J. Am. Medical Informatics Assoc., 2021)

Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. - Ning Shang; Atlas Khan; Fernanda Polubriaginof; Francesca Zanoni; Karla Mehl; David Fasel; Paul E. Drawz; Robert J. Carroll; Joshua C. Denny; Matthew A. Hathcock; Adelaide M. Arruda-Olson; Peggy L. Peissig; et al. (npj Digit. Medicine, 2021)

Characterizing variability of electronic health record-driven phenotype definitions. - Pascal S. Brandt; Abel N. Kho; Yuan Luo 001; Jennifer A. Pacheco; Theresa L. Walunas; Hakon Hakonarson; George Hripcsak; Cong Liu 020; Ning Shang; Chunhua Weng; Nephi Walton; David S. Carrell; et al. (J. Am. Medical Informatics Assoc., 2023)