Results 141 to 150 of about 22,489,720 (176)

DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies

, 2022
Packer R, Williams A, Hennah W, Eisenberg M, Fawcett K, Pearson W, Guyatt A, Edris A, Hollox E, Rao B, Bratty J, Wain L, Dudbridge F, Tobin M.   +13 more
europepmc   +1 more source

Current Scope and Challenges in Phenome-Wide Association Studies. [PDF]

Curr Epidemiol Rep, 2017
Verma A, Ritchie MD.
europepmc   +1 more source

Unbiased Phenome-Wide Association Studies of Red Cell Distribution Width Identifies Key Associations with Pulmonary Hypertension. [PDF]

Ann Am Thorac Soc, 2019
Thayer TE, Huang S, Levinson RT, Farber-Eger E, Assad TR, Huston JH, Mosley JD, Wells QS, Brittain EL.   +8 more
europepmc   +1 more source

Phenome-Wide Association Studies Uncover a Novel Association of Increased Atrial Fibrillation in Male Patients With Systemic Lupus Erythematosus. [PDF]

Arthritis Care Res (Hoboken), 2018
Barnado A, Carroll RJ, Casey C, Wheless L, Denny JC, Crofford LJ.   +5 more
europepmc   +1 more source

Phenome-wide association studies (PheWASs) for functional variants. [PDF]

Eur J Hum Genet, 2015
Ye Z, Mayer J, Ivacic L, Zhou Z, He M, Schrodi SJ, Page D, Brilliant MH, Hebbring SJ.   +8 more
europepmc   +1 more source

Application of clinical text data for phenome-wide association studies (PheWASs). [PDF]

Bioinformatics, 2015
Hebbring SJ, Rastegar-Mojarad M, Ye Z, Mayer J, Jacobson C, Lin S.   +5 more
europepmc   +1 more source

Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. [PDF]

PLoS One, 2017
Wei WQ, Bastarache LA, Carroll RJ, Marlo JE, Osterman TJ, Gamazon ER, Cox NJ, Roden DM, Denny JC.   +8 more
europepmc   +1 more source

INTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES. [PDF]

Pac Symp Biocomput, 2016
Verma A, Leader JB, Verma SS, Frase A, Wallace J, Dudek S, Lavage DR, Van Hout CV, Dewey FE, Penn J, Lopez A, Overton JD, Carey DJ, Ledbetter DH, Kirchner HL, Ritchie MD, Pendergrass SA.   +16 more
europepmc   +1 more source

R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment. [PDF]

Bioinformatics, 2014
Carroll RJ, Bastarache L, Denny JC.
europepmc   +1 more source