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)

Portability of an algorithm to identify rheumatoid arthritis in electronic health records. - Robert J. Carroll; William K. Thompson; Anne E. Eyler; Arthur M. Mandelin; Tianxi Cai; Raquel M. Zink; Jennifer A. Pacheco; Chad S. Boomershine; Thomas A. Lasko; Hua Xu 001; Elizabeth W. Karlson; Raúl G. Pérez; et al. (J. Am. Medical Informatics Assoc., 2012)

Open Source R Implementation of the PheWAS Methodology. - Robert J. Carroll; Lisa Bastarache; Joshua C. Denny (AMIA, 2013)

Using PheWAS and Natural Language Processing to Discover Clinical Associations for Congenital Chest Deformities. - Christine M. McEvoy; Robert J. Carroll; Lisa Bastarache; Wei-Qi Wei; Joshua C. Denny (AMIA, 2013)

PheWAS and Genetics Define Subphenotypes in Drug Response. - Robert J. Carroll; Jeremy L. Warner; Anne E. Eyler; Charles Moore; Jayanth Doss; Katherine P. Liao; Robert M. Plenge; Joshua C. Denny (AMIA, 2014)

Phenome-Wide Association Studies Using NLP-Derived Concepts. - Pedro L. Teixeira; Robert J. Carroll; Lisa Bastarache; Peter Speltz; Joshua C. Smith; Joshua C. Denny (AMIA, 2014)

R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment. - Robert J. Carroll; Lisa Bastarache; Joshua C. Denny (Bioinform., 2014)

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)

The Data and Research Center of the All of Us Research Program: Framework for a National Cohort Program and Research Opportunities. - Robert J. Carroll; Joshua C. Mandel; Karthik Natarajan; Scott Sutherland; Joshua C. Denny (AMIA, 2017)

HealthPro: An integrated web application for essential health data and biological specimen collection in the Precision Medicine Initiative. - Kelsey R. Mayo; Robert J. Carroll; Jason Tan; Rebecca Johnston; Celecia M. Scott; Joshua C. Denny; Paul A. Harris (AMIA, 2017)

Sub-Phenotyping of Crohn's Disease Using a Large Electronic Record Cohort. - Jamie R. Robinson; Lisa Bastarache; Robert J. Carroll; Elizabeth A. Scoville; David A. Schwartz; Joshua C. Denny (AMIA, 2017)

Association of BMI and Obesity Genetic Risk Score with Surgical Procedures Through a Procedure-wide Association Study. - Jamie R. Robinson; Zongyang Mou; Lisa Bastarache; Wei-Qi Wei; Robert J. Carroll; Joshua C. Denny (AMIA, 2017)

Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. - Pedro L. Teixeira; Wei-Qi Wei; Robert M. Cronin; Huan Mo; Jacob P. VanHouten; Robert J. Carroll; Eric LaRose; Lisa Bastarache; S. Trent Rosenbloom; Todd L. Edwards; Dan M. Roden; Thomas A. Lasko; et al. (J. Am. Medical Informatics Assoc., 2017)

Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects. - Leena Choi; Robert J. Carroll; Cole Beck; Jonathan D. Mosley; Dan M. Roden; Joshua C. Denny; Sara L. Van Driest (Bioinform., 2018)

Uncovering exposures responsible for birth season - disease effects: a global study. - Mary Regina Boland; Pradipta Parhi; Li Li 062; Riccardo Miotto; Robert J. Carroll; Usman Iqbal; Phung-Anh (Alex) Nguyen; Martijn J. Schuemie; Seng Chan You; Donahue Smith; Sean D. Mooney; Patrick B. Ryan; et al. (J. Am. Medical Informatics Assoc., 2018)

A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments. - Jennifer A. Pacheco; Luke V. Rasmussen; Richard C. Kiefer; Thomas R. Campion Jr.; Peter Speltz; Robert J. Carroll; Sarah C. Stallings; Huan Mo; Monika Ahuja; Guoqian Jiang; Eric R. LaRose; Peggy L. Peissig; et al. (J. Am. Medical Informatics Assoc., 2018)

Curating EHR data in the All of Us Research Program. - Karthik Natarajan; Robert J. Carroll; Thomas R. Campion Jr.; Joan Grand; Shyam Visweswaran (AMIA, 2019)

Facilitating phenotype transfer using a common data model. - George Hripcsak; Ning Shang; Peggy L. Peissig; Luke V. Rasmussen; Cong Liu 020; Barbara Benoit; Robert J. Carroll; David S. Carrell; Joshua C. Denny; Ozan Dikilitas; Vivian S. Gainer; Kayla Marie Howell; et al. (J. Biomed. Informatics, 2019)

Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network. - Ning Shang; Cong Liu 020; Luke V. Rasmussen; Casey N. Ta; Robert J. Carroll; Barbara Benoit; Todd Lingren; Ozan Dikilitas; Frank D. Mentch; David S. Carrell; Wei-Qi Wei; Yuan Luo 001; et al. (J. Biomed. Informatics, 2019)

Automated grouping of medical codes via multiview banded spectral clustering. - Luwan Zhang; Yichi Zhang; Tianrun A. Cai; Yuri Ahuja; Zeling He; Yuk-Lam Ho; Andrew Beam; Kelly Cho; Robert J. Carroll; Joshua C. Denny; Isaac S. Kohane; Katherine P. Liao; et al. (J. Biomed. Informatics, 2019)

Curating Data and Communicating Quality for Impact in a FAIR World. - Robert J. Carroll; Kristin Wuichet; Charles Phillips; Michelle Holko; Allison P. Heath (AMIA, 2020)

The All of Us Research Program Researcher Workbench Phenotype Library: Five Disease Implementations. - Izabelle P. Humes; Roxana Loperena-Cortes; Melissa A. Basford; Kelsey R. Mayo; Joseph DiPaolo; David J. Schlueter; Jun Qian; Wei-Qi Wei; Robert J. Carroll; David Glazer; Paul A. Harris; Anthony A. Philippakis; et al. (AMIA, 2020)

The All of Us Research Program Researcher Workbench: Cloud based access and analytics to advance precision medicine. - Andrea H. Ramirez; Kelsey R. Mayo; Robert J. Carroll; Karthik Muthuraman; Melissa A. Basford; David Glazer; Paul A. Harris; Anthony A. Philippakis; Dan M. Roden (AMIA, 2020)

Measuring the correctness of All of Us physical measurement. - Lina Sulieman; Karthik Natarajan; Qingxia Chen; Robert J. Carroll; Kayla Marginean; Paul A. Harris; Andrea H. Ramirez (AMIA, 2021)

Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program. - Robert M. Cronin; Alese E. Halvorson; Cassie Springer; Xiaoke Feng; Lina M. Sulieman; Roxana Loperena-Cortes; Kelsey R. Mayo; Robert J. Carroll; Qingxia Chen; Brian K. Ahmedani; Jason Karnes; Bruce Korf; 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)

Self-paced Training Modality to Promote the Use of All of Us Researcher Workbench in Educational and Research Settings. - Hiral Master; Lina Sulieman; Paul A. Harris; Karthik Natarajan; Robert J. Carroll; Kayla Marginean; Kelsey R. Mayo; Aymone Kouame; Michael Lyons (AMIA, 2022)

Assessing Data Quality and Diversity in the All of Us. - Lina Sulieman; Jennifer Zhang; Kayla Marginean; Paul A. Harris; Robert J. Carroll (AMIA, 2022)

Harmonizing FHIR and Common Data Models Used in Research: Current State and a Path Forward. - Teresa Zayas-Cabán; Belinda Seto; Robert J. Carroll; Jon Duke; Viet Nguyen (AMIA, 2022)

Inference-based correction of multi-site height and weight measurement data in the All of Us research program. - Mirza S. Khan; Robert J. Carroll (J. Am. Medical Informatics Assoc., 2022)

Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program. - Lina M. Sulieman; Robert M. Cronin; Robert J. Carroll; Karthik Natarajan; Kayla Marginean; Brandy Mapes; Dan M. Roden; Paul A. Harris; Andrea H. Ramirez (J. Am. Medical Informatics Assoc., 2022)

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. - Jingzhi Yu; Jennifer A. Pacheco; Anika S. Ghosh; Yuan Luo 001; Chunhua Weng; Ning Shang; Barbara Benoit; David S. Carrell; Robert J. Carroll; Ozan Dikilitas; Robert R. Freimuth; Vivian S. Gainer; et al. (BMC Medical Informatics Decis. Mak., 2022)

The All of Us Research Program: Data quality, utility, and diversity. - Andrea H. Ramirez; Lina M. Sulieman; David J. Schlueter; Alese E. Halvorson; Jun Qian; Francis Ratsimbazafy; Roxana Loperena-Cortes; Kelsey R. Mayo; Melissa A. Basford; Nicole Deflaux; Karthik Muthuraman; Karthik Natarajan; et al. (Patterns, 2022)

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)

Managing re-identification risks while providing access to the All of Us research program. - Weiyi Xia; Melissa A. Basford; Robert J. Carroll; Ellen Wright Clayton; Paul A. Harris; Murat Kantarcioglu; Yongtai Liu; Steve Nyemba; Yevgeniy Vorobeychik; Zhiyu Wan; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2023)

Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics. - Megan M. Shuey; William W. Stead; Ida Aka; April L. Barnado; Lisa Bastarache; Elly Brokamp; Meredith Campbell; Robert J. Carroll; Jeffrey A. Goldstein; Adam Lewis; Beth A. Malow; Jonathan D. Mosley; et al. (Bioinform., 2023)

Identifying erroneous height and weight values from adult electronic health records in the All of Us research program. - Andrew Guide; Lina Sulieman; Shawn Garbett; Robert M. Cronin; Matthew E. Spotnitz; Karthik Natarajan; Robert J. Carroll; Paul A. Harris; Qingxia Chen (J. Biomed. Informatics, 2024)

Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. - Monika E. Grabowska; Sara L. Van Driest; Jamie R. Robinson; Anna E. Patrick; Chris Guardo; Srushti Gangireddy; Henry H. Ong; QiPing Feng; Robert J. Carroll; Prince J. Kannankeril; Wei-Qi Wei (J. Am. Medical Informatics Assoc., 2024)