Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study. - Abel N. Kho; M. Geoffrey Hayes; Laura Rasmussen-Torvik; Jennifer A. Pacheco; William K. Thompson; Loren L. Armstrong; Joshua C. Denny; Peggy L. Peissig; Aaron W. Miller; Wei-Qi Wei; Suzette J. Bielinski; Christopher G. Chute; et al. (J. Am. Medical Informatics Assoc., 2012)

A Genome- and Phenome- Wide Study of Diverticulosis. - Yoonjung Y. Joo; Jennifer A. Pacheco; Loren L. Armstrong; William K. Thompson; Robert J. Carroll; Joshua C. Denny; Peggy L. Peissig; James G. Linneman; Jyotishman Pathak; Girish N. Nadkarni; Laura Rasmussen-Torvik; M. Geoffrey Hayes; et al. (AMIA, 2015)

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)

Design and Implementation of an Ancillary Genomics System for the Return of Pharmacogenetic Results. - Luke V. Rasmussen; Maureen E. Smith; Federico Almaraz; Stephen D. Persell; Laura Rasmussen-Torvik; Jennifer A. Pacheco; Carl Christensen; Timothy M. Herr; Firas H. Wehbe; Justin Starren (AMIA, 2016)

Genome-Wide Interaction with Selected Type 2 Diabetes Loci Reveals Novel Loci for Type 2 Diabetes in African Americans. - Jacob M. Keaton; Jacklyn N. Hellwege; Maggie C. Y. Ng; Nicholette D. Palmer; James S. Pankow; Myriam Fornage; James G. Wilson; Adolfo Correa; Laura Rasmussen-Torvik; Jerome I. Rotter; Yii-Der Ida Chen; Kent D. Taylor; et al. (PSB, 2017)

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)

An ancillary genomics system to support the return of pharmacogenomic results. - Luke V. Rasmussen; Maureen E. Smith; Federico Almaraz; Stephen D. Persell; Laura J. Rasmussen-Torvik; Jennifer A. Pacheco; Rex L. Chisholm; Carl Christensen; Timothy M. Herr; Firas H. Wehbe; Justin B. Starren (J. Am. Medical Informatics Assoc., 2019)

A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. - Xihao Li; Han Chen; Margaret Sunitha Selvaraj; Eric Van Buren; Hufeng Zhou; Yuxuan Wang 008; Ryan Sun; Zachary R. McCaw; Zhi Yu; Min-Zhi Jiang; Daniel DiCorpo; Sheila M. Gaynor; et al. (Nat. Comput. Sci., 2025)