| Year |
Citation |
Score |
| 2024 |
Guide A, Sulieman L, Garbett S, Cronin RM, Spotnitz M, Natarajan K, Carroll RJ, Harris P, Chen Q. Identifying erroneous height and weight values from adult electronic health records in the All of Us research program. Journal of Biomedical Informatics. 104660. PMID 38788889 DOI: 10.1016/j.jbi.2024.104660 |
0.607 |
|
| 2024 |
Tran TC, Schlueter DJ, Zeng C, Mo H, Carroll RJ, Denny JC. PheWAS analysis on large-scale biobank data with PheTK. Medrxiv : the Preprint Server For Health Sciences. PMID 38410487 DOI: 10.1101/2024.02.12.24302720 |
0.493 |
|
| 2023 |
Grabowska ME, Van Driest SL, Robinson JR, Patrick AE, Guardo C, Gangireddy S, Ong HH, Feng Q, Carroll R, Kannankeril PJ, Wei WQ. Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. Journal of the American Medical Informatics Association : Jamia. PMID 38041473 DOI: 10.1093/jamia/ocad233 |
0.716 |
|
| 2023 |
Shuey MM, Stead WW, Aka I, Barnado AL, Bastarache JA, Brokamp E, Campbell M, Carroll RJ, Goldstein JA, Lewis A, Malow BA, Mosley JD, Osterman T, Padovani-Claudio DA, Ramirez A, et al. Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics. Bioinformatics (Oxford, England). 39. PMID 37930895 DOI: 10.1093/bioinformatics/btad655 |
0.761 |
|
| 2023 |
Grabowska ME, Van Driest SL, Robinson JR, Patrick AE, Guardo C, Gangireddy S, Ong H, Feng Q, Carroll R, Kannankeril PJ, Wei WQ. Developing and Evaluating Pediatric Phecodes (Peds-Phecodes) for High-Throughput Phenotyping Using Electronic Health Records. Medrxiv : the Preprint Server For Health Sciences. PMID 37662278 DOI: 10.1101/2023.08.22.23294435 |
0.716 |
|
| 2023 |
Bastarache L, Delozier S, Pandit A, He J, Lewis A, Annis AC, LeFaive J, Denny JC, Carroll RJ, Altman RB, Hughey JJ, Zawistowski M, Peterson JF. The phenotype-genotype reference map: Improving biobank data science through replication. American Journal of Human Genetics. PMID 37607538 DOI: 10.1016/j.ajhg.2023.07.012 |
0.499 |
|
| 2023 |
Mayo KR, Basford MA, Carroll RJ, Dillon M, Fullen H, Leung J, Master H, Rura S, Sulieman L, Kennedy N, Banks E, Bernick D, Gauchan A, Lichtenstein L, Mapes BM, et al. The Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research. Annual Review of Biomedical Data Science. 6: 443-464. PMID 37561600 DOI: 10.1146/annurev-biodatasci-122120-104825 |
0.747 |
|
| 2023 |
Master H, Annis J, Huang S, Beckman JA, Ratsimbazafy F, Marginean K, Carroll R, Natarajan K, Harrell FE, Roden DM, Harris P, Brittain EL. Author Correction: Association of step counts over time with the risk of chronic disease in the All of Us Research Program. Nature Medicine. PMID 37046000 DOI: 10.1038/s41591-023-02313-8 |
0.371 |
|
| 2023 |
Dorand RD, Zheng NS, Agarwal R, Carroll RJ, Rubinstein SM, Winkfield KM, Wei WQ, Berlin J, Shu XO. Correlates of Taxane-Induced Neuropathy, an Electronic Health Record Based Observational Study. Cancers. 15. PMID 36765713 DOI: 10.3390/cancers15030754 |
0.526 |
|
| 2022 |
Brandt PS, Kho A, Luo Y, Pacheco JA, Walunas TL, Hakonarson H, Hripcsak G, Liu C, Shang N, Weng C, Walton N, Carrell DS, Crane PK, Larson EB, Chute CG, ... ... Carroll R, et al. Characterizing variability of electronic health record-driven phenotype definitions. Journal of the American Medical Informatics Association : Jamia. PMID 36474423 DOI: 10.1093/jamia/ocac235 |
0.768 |
|
| 2022 |
Robinson JR, Carroll RJ, Bastarache L, Chen Q, Pirruccello J, Mou Z, Wei WQ, Connolly J, Mentch F, Crane PK, Hebbring SJ, Crosslin DR, Gordon AS, Rosenthal EA, Stanaway IB, et al. Quantifying the phenome-wide disease burden of obesity using electronic health records and genomics. Obesity (Silver Spring, Md.). PMID 36372681 DOI: 10.1002/oby.23561 |
0.763 |
|
| 2022 |
Ishigaki K, Sakaue S, Terao C, Luo Y, Sonehara K, Yamaguchi K, Amariuta T, Too CL, Laufer VA, Scott IC, Viatte S, Takahashi M, Ohmura K, Murasawa A, Hashimoto M, ... ... Carroll RJ, et al. Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis. Nature Genetics. PMID 36333501 DOI: 10.1038/s41588-022-01213-w |
0.444 |
|
| 2022 |
Master H, Annis J, Huang S, Beckman JA, Ratsimbazafy F, Marginean K, Carroll R, Natarajan K, Harrell FE, Roden DM, Harris P, Brittain EL. Association of step counts over time with the risk of chronic disease in the All of Us Research Program. Nature Medicine. PMID 36216933 DOI: 10.1038/s41591-022-02012-w |
0.411 |
|
| 2022 |
Ramirez AH, Sulieman L, Schlueter DJ, Halvorson A, Qian J, Ratsimbazafy F, Loperena R, Mayo K, Basford M, Deflaux N, Muthuraman KN, Natarajan K, Kho A, Xu H, Wilkins C, ... ... Carroll RJ, et al. The Research Program: Data quality, utility, and diversity. Patterns (New York, N.Y.). 3: 100570. PMID 36033590 DOI: 10.1016/j.patter.2022.100570 |
0.77 |
|
| 2022 |
Sulieman L, Cronin RM, Carroll RJ, Natarajan K, Marginean K, Mapes B, Roden D, Harris P, Ramirez A. Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program. Journal of the American Medical Informatics Association : Jamia. PMID 35396991 DOI: 10.1093/jamia/ocac046 |
0.744 |
|
| 2022 |
Yu J, Pacheco JA, Ghosh AS, Luo Y, Weng C, Shang N, Benoit B, Carrell DS, Carroll RJ, Dikilitas O, Freimuth RR, Gainer VS, Hakonarson H, Hripcsak G, Kullo IJ, et al. Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. Bmc Medical Informatics and Decision Making. 22: 23. PMID 35090449 DOI: 10.1186/s12911-022-01759-z |
0.665 |
|
| 2021 |
Zheng NS, Wang F, Agarwal R, Carroll RJ, Wei WQ, Berlin J, Shu XO. Racial disparity in taxane-induced neutropenia among cancer patients. Cancer Medicine. PMID 34547180 DOI: 10.1002/cam4.4181 |
0.48 |
|
| 2021 |
Li R, Duan R, Zhang X, Lumley T, Pendergrass S, Bauer C, Hakonarson H, Carrell DS, Smoller JW, Wei WQ, Carroll R, Velez Edwards DR, Wiesner G, Sleiman P, Denny JC, et al. Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics. Nature Communications. 12: 168. PMID 33420026 DOI: 10.1038/s41467-020-20211-2 |
0.558 |
|
| 2021 |
Cronin RM, Halvorson AE, Springer C, Feng X, Sulieman L, Loperena-Cortes R, Mayo K, Carroll RJ, Chen Q, Ahmedani BK, Karnes J, Korf B, O'Donnell CJ, Qian J, Ramirez AH. 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. Journal of the American Medical Informatics Association : Jamia. PMID 33404595 DOI: 10.1093/jamia/ocaa315 |
0.721 |
|
| 2020 |
Dikilitas O, Schaid DJ, Kosel ML, Carroll RJ, Chute CG, Denny JA, Fedotov A, Feng Q, Hakonarson H, Jarvik GP, Lee MTM, Pacheco JA, Rowley R, Sleiman PM, Stein CM, et al. Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups. American Journal of Human Genetics. 106: 707-716. PMID 32386537 DOI: 10.1016/J.Ajhg.2020.04.002 |
0.532 |
|
| 2020 |
Joo YY, Actkins K, Pacheco JA, Basile AO, Carroll R, Crosslin DR, Day F, Denny JC, Velez Edwards DR, Hakonarson H, Harley JB, Hebbring SJ, Ho K, Jarvik GP, Jones M, et al. A polygenic and phenotypic risk prediction for Polycystic Ovary Syndrome evaluated by Phenome-wide association studies. The Journal of Clinical Endocrinology and Metabolism. PMID 31917831 DOI: 10.1210/Clinem/Dgz326 |
0.482 |
|
| 2020 |
Sulieman L, He J, Carroll R, Bastarache L, Ramirez A. SAT-LB111 Improving Classification of Diabetes Etiology in Electronic Resources Using Phenotype Algorithms and Polygenic Risk Scores Journal of the Endocrine Society. 4. DOI: 10.1210/Jendso/Bvaa046.2239 |
0.62 |
|
| 2019 |
Bernal CJ, Aka I, Carroll RJ, Coco JR, Lima JJ, Acra SA, Roden DM, Van Driest SL. CYP2C19 Phenotype and Risk of Proton Pump Inhibitor-Associated Infections. Pediatrics. PMID 31699831 DOI: 10.1542/peds.2019-0857 |
0.337 |
|
| 2019 |
Zhang L, Zhang Y, Cai T, Ahuja Y, He Z, Ho YL, Beam A, Cho K, Carroll R, Denny J, Kohane I, Liao K, Cai T. Automated Grouping of Medical Codes via Multiview Banded Spectral Clustering. Journal of Biomedical Informatics. 103322. PMID 31672532 DOI: 10.1016/J.Jbi.2019.103322 |
0.519 |
|
| 2019 |
Robinson JR, Carroll RJ, Bastarache L, Chen Q, Mou Z, Wei WQ, Connolly JJ, Mentch F, Sleiman P, Crane PK, Hebbring SJ, Stanaway IB, Crosslin DR, Gordon AS, Rosenthal EA, et al. Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization. World Journal of Surgery. PMID 31605180 DOI: 10.1007/S00268-019-05202-9 |
0.74 |
|
| 2019 |
Wu P, Gifford A, Meng X, Li X, Campbell H, Varley T, Zhao J, Carroll R, Bastarache L, Denny JC, Theodoratou E, Wei WQ. Developing and Evaluating Mappings of ICD-10 and ICD-10-CM Codes to PheCodes. Jmir Medical Informatics. PMID 31553307 DOI: 10.2196/14325 |
0.677 |
|
| 2019 |
Hripcsak G, Shang N, Peissig PL, Rasmussen LV, Liu C, Benoit B, Carroll RJ, Carrell DS, Denny JC, Dikilitas O, Gainer VS, Marie Howell K, Klann JG, Kullo IJ, Lingren T, et al. Facilitating phenotype transfer using a common data model. Journal of Biomedical Informatics. 103253. PMID 31325501 DOI: 10.1016/J.Jbi.2019.103253 |
0.604 |
|
| 2019 |
Namjou B, Lingren T, Huang Y, Parameswaran S, Cobb BL, Stanaway IB, Connolly JJ, Mentch FD, Benoit B, Niu X, Wei WQ, Carroll RJ, Pacheco JA, Harley ITW, Divanovic S, et al. GWAS and enrichment analyses of non-alcoholic fatty liver disease identify new trait-associated genes and pathways across eMERGE Network. Bmc Medicine. 17: 135. PMID 31311600 DOI: 10.1186/S12916-019-1364-Z |
0.538 |
|
| 2019 |
Hellwege JN, Stallings S, Torstenson ES, Carroll R, Borthwick KM, Brilliant MH, Crosslin D, Gordon A, Hripcsak G, Jarvik GP, Linneman JG, Devi P, Peissig PL, Sleiman PAM, Hakonarson H, et al. Heritability and genome-wide association study of benign prostatic hyperplasia (BPH) in the eMERGE network. Scientific Reports. 9: 6077. PMID 30988330 DOI: 10.1038/S41598-019-42427-Z |
0.477 |
|
| 2019 |
Scott MKD, Quinn K, Li Q, Carroll R, Warsinske H, Vallania F, Chen S, Carns MA, Aren K, Sun J, Koloms K, Lee J, Baral J, Kropski J, Zhao H, et al. Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study. The Lancet. Respiratory Medicine. PMID 30935881 DOI: 10.1016/S2213-2600(18)30508-3 |
0.502 |
|
| 2019 |
Oshikoya KA, Carroll R, Aka I, Roden DM, Van Driest SL. Adverse Events Associated with Risperidone Use in Pediatric Patients: A Retrospective Biobank Study. Drugs - Real World Outcomes. PMID 30919267 DOI: 10.1007/S40801-019-0151-7 |
0.418 |
|
| 2019 |
Safarova MS, Satterfield BA, Fan X, Austin EE, Ye Z, Bastarache L, Zheng N, Ritchie MD, Borthwick KM, Williams MS, Larson EB, Scrol A, Jarvik GP, Crosslin DR, Leppig K, ... ... Carroll RJ, et al. A phenome-wide association study to discover pleiotropic effects of , , and . Npj Genomic Medicine. 4: 3. PMID 30774981 DOI: 10.1038/S41525-019-0078-7 |
0.696 |
|
| 2019 |
Jorge A, Castro VM, Barnado A, Gainer V, Hong C, Cai T, Cai T, Carroll R, Denny JC, Crofford L, Costenbader KH, Liao KP, Karlson EW, Feldman CH. Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms. Seminars in Arthritis and Rheumatism. PMID 30665626 DOI: 10.1016/J.Semarthrit.2019.01.002 |
0.507 |
|
| 2019 |
Oshikoya KA, Neely KM, Carroll RJ, Aka IT, Maxwell-Horn AC, Roden DM, Van Driest SL. CYP2D6 genotype and adverse events to risperidone in children and adolescents. Pediatric Research. PMID 30661084 DOI: 10.1038/s41390-019-0305-z |
0.313 |
|
| 2019 |
Barnado A, Carroll RJ, Casey C, Wheless L, Denny JC, Crofford LJ. Phenome-wide association study identifies dsDNA as a driver of major organ involvement in systemic lupus erythematosus. Lupus. 28: 66-76. PMID 30477398 DOI: 10.1177/0961203318815577 |
0.441 |
|
| 2018 |
Hall TO, Stanaway IB, Carrell DS, Carroll RJ, Denny JC, Hakonarson H, Larson EB, Mentch FD, Peissig PL, Pendergrass SA, Rosenthal EA, Jarvik GP, Crosslin DR. Unfolding of hidden white blood cell count phenotypes for gene discovery using latent class mixed modeling. Genes and Immunity. PMID 30459343 DOI: 10.1038/S41435-018-0051-Y |
0.463 |
|
| 2018 |
Stanaway IB, Hall TO, Rosenthal EA, Palmer M, Naranbhai V, Knevel R, Namjou-Khales B, Carroll RJ, Kiryluk K, Gordon AS, Linder J, Howell KM, Mapes BM, Lin FTJ, Joo YY, et al. The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype. Genetic Epidemiology. PMID 30298529 DOI: 10.1002/Gepi.22167 |
0.481 |
|
| 2018 |
Pacheco JA, Rasmussen LV, Kiefer RC, Campion TR, Speltz P, Carroll RJ, Stallings SC, Mo H, Ahuja M, Jiang G, LaRose ER, Peissig PL, Shang N, Benoit B, Gainer VS, et al. A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments. Journal of the American Medical Informatics Association : Jamia. PMID 30124903 DOI: 10.1093/Jamia/Ocy101 |
0.546 |
|
| 2018 |
Wang L, Pittman KJ, Barker JR, Salinas RE, Stanaway IB, Williams GD, Carroll RJ, Balmat T, Ingham A, Gopalakrishnan AM, Gibbs KD, Antonia AL, Heitman J, Lee SC, et al. An Atlas of Genetic Variation Linking Pathogen-Induced Cellular Traits to Human Disease. Cell Host & Microbe. 24: 308-323.e6. PMID 30092202 DOI: 10.1016/J.Chom.2018.07.007 |
0.475 |
|
| 2018 |
Choi L, Carroll RJ, Beck C, Mosley JD, Roden DM, Denny JC, Van Driest SL. Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects. Bioinformatics (Oxford, England). PMID 29912272 DOI: 10.1093/Bioinformatics/Bty306 |
0.579 |
|
| 2018 |
Barnado A, Carroll RJ, Casey C, Wheless L, Denny JC, Crofford LJ. Phenome-wide association study identifies marked increased in burden of comorbidities in African Americans with systemic lupus erythematosus. Arthritis Research & Therapy. 20: 69. PMID 29636090 DOI: 10.1186/S13075-018-1561-8 |
0.433 |
|
| 2018 |
Bastarache L, Hughey JJ, Hebbring S, Marlo J, Zhao W, Ho WT, Van Driest SL, McGregor TL, Mosley JD, Wells QS, Temple M, Ramirez AH, Carroll R, Osterman T, Edwards T, et al. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science (New York, N.Y.). 359: 1233-1239. PMID 29590070 DOI: 10.1126/Science.Aal4043 |
0.765 |
|
| 2018 |
Barnado A, Carroll RJ, Casey C, Wheless L, Denny JC, Crofford LJ. Phenome-wide association studies uncover a novel association of increased atrial fibrillation in males with systemic lupus erythematosus. Arthritis Care & Research. PMID 29481723 DOI: 10.1002/Acr.23553 |
0.491 |
|
| 2018 |
Barnado A, Carroll RJ, Casey C, Denny JC, Crofford LJ. AA-01 Phenome-wide association studies uncover hierarchy of autoantibodies in systemic lupus erythematosus Lupus Science & Medicine. 5. DOI: 10.1136/Lupus-2018-Lsm.20 |
0.446 |
|
| 2018 |
Robinson JR, Carroll RJ, Bastarache L, Mou Z, Jackson GP, Roden DM, Denny JC. Association of Obesity with Postoperative Complications Using Phenome-Wide Association Studies and Mendelian Randomization Journal of the American College of Surgeons. 227. DOI: 10.1016/J.Jamcollsurg.2018.07.192 |
0.522 |
|
| 2017 |
Rosenbloom ST, Carroll RJ, Warner JL, Matheny ME, Denny JC. Representing Knowledge Consistently Across Health Systems. Yearbook of Medical Informatics. 26: 139-147. PMID 29063555 DOI: 10.15265/Iy-2017-018 |
0.483 |
|
| 2017 |
Wei WQ, Bastarache LA, Carroll RJ, Marlo JE, Osterman TJ, Gamazon ER, Cox NJ, Roden DM, Denny JC. Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. Plos One. 12: e0175508. PMID 28686612 DOI: 10.1371/Journal.Pone.0175508 |
0.781 |
|
| 2016 |
Li M, Li Y, Weeks O, Mijatovic V, Teumer A, Huffman JE, Tromp G, Fuchsberger C, Gorski M, Lyytikäinen LP, Nutile T, Sedaghat S, Sorice R, Tin A, Yang Q, ... ... Carroll RJ, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology : Jasn. PMID 27920155 DOI: 10.1681/Asn.2016020131 |
0.452 |
|
| 2016 |
Doss J, Mo H, Carroll RJ, Crofford LJ, Denny JC. Response to Letter from Drs. Wolfe and Walitt. Arthritis & Rheumatology (Hoboken, N.J.). PMID 27860419 DOI: 10.1002/art.39997 |
0.62 |
|
| 2016 |
Doss J, Mo H, Carroll RJ, Crofford LJ, Denny JC. Phenome-Wide Association Study of Rheumatoid Arthritis Subgroups Identifies Association between Seronegative Disease and Fibromyalgia. Arthritis & Rheumatology (Hoboken, N.J.). PMID 27589350 DOI: 10.1002/Art.39851 |
0.684 |
|
| 2016 |
Teixeira PL, Wei WQ, Cronin RM, Mo H, VanHouten JP, Carroll RJ, LaRose E, Bastarache LA, Rosenbloom ST, Edwards TL, Roden DM, Lasko TA, Dart RA, Nikolai AM, Peissig PL, et al. Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. Journal of the American Medical Informatics Association : Jamia. PMID 27497800 DOI: 10.1093/Jamia/Ocw071 |
0.781 |
|
| 2016 |
Barnado A, Casey C, Carroll RJ, Wheless L, Denny JC, Crofford LJ. Developing Electronic Health Record Algorithms that Accurately Identify Patients with Systemic Lupus Erythematosus. Arthritis Care & Research. PMID 27390187 DOI: 10.1002/Acr.22989 |
0.491 |
|
| 2016 |
Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y, Taliun D, Olden M, Foster M, Yang Q, Chen MH, ... ... Carroll RJ, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nature Communications. 7: 10023. PMID 26831199 DOI: 10.1038/Ncomms10023 |
0.437 |
|
| 2015 |
Teumer A, Tin A, Sorice R, Gorski M, Yeo NC, Chu AY, Li M, Li Y, Mijatovic V, Ko YA, Taliun D, Luciani A, Chen MH, Yang Q, Foster MC, ... ... Carroll RJ, et al. Genome-wide Association Studies Identify Genetic Loci Associated with Albuminuria in Diabetes. Diabetes. PMID 26631737 DOI: 10.2337/Db15-1313 |
0.426 |
|
| 2015 |
Gamazon ER, Wheeler HE, Shah KP, Mozaffari SV, Aquino-Michaels K, Carroll RJ, Eyler AE, Denny JC, Nicolae DL, Cox NJ, Im HK. A gene-based association method for mapping traits using reference transcriptome data. Nature Genetics. 47: 1091-8. PMID 26258848 DOI: 10.1038/Ng.3367 |
0.455 |
|
| 2015 |
Carroll RJ, Eyler AE, Denny JC. Intelligent use and clinical benefits of electronic health records in rheumatoid arthritis. Expert Review of Clinical Immunology. 11: 329-37. PMID 25660652 DOI: 10.1586/1744666X.2015.1009895 |
0.446 |
|
| 2015 |
Crosslin DR, Carrell DS, Burt A, Kim DS, Underwood JG, Hanna DS, Comstock BA, Baldwin E, de Andrade M, Kullo IJ, Tromp G, Kuivaniemi H, Borthwick KM, McCarty CA, Peissig PL, ... ... Carroll RJ, et al. Genetic variation in the HLA region is associated with susceptibility to herpes zoster. Genes and Immunity. 16: 1-7. PMID 25297839 DOI: 10.1038/Gene.2014.51 |
0.461 |
|
| 2014 |
Cronin RM, Field JR, Bradford Y, Shaffer CM, Carroll RJ, Mosley JD, Bastarache L, Edwards TL, Hebbring SJ, Lin S, Hindorff LA, Crane PK, Pendergrass SA, Ritchie MD, Crawford DC, et al. Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index. Frontiers in Genetics. 5: 250. PMID 25177340 DOI: 10.3389/Fgene.2014.00250 |
0.722 |
|
| 2014 |
Carroll RJ, Bastarache L, Denny JC. R PheWAS: Data analysis and plotting tools for phenome-wide association studies in the R environment Bioinformatics. 30: 2375-2376. PMID 24733291 DOI: 10.1093/Bioinformatics/Btu197 |
0.478 |
|
| 2014 |
Okada Y, Diogo D, Greenberg JD, Mouassess F, Achkar WA, Fulton RS, Denny JC, Gupta N, Mirel D, Gabriel S, Li G, Kremer JM, Pappas DA, Carroll RJ, Eyler AE, et al. Integration of sequence data from a Consanguineous family with genetic data from an outbred population identifies PLB1 as a candidate rheumatoid arthritis risk gene. Plos One. 9: e87645. PMID 24520335 DOI: 10.1371/Journal.Pone.0087645 |
0.436 |
|
| 2014 |
Okada Y, Wu D, Trynka G, Raj T, Terao C, Ikari K, Kochi Y, Ohmura K, Suzuki A, Yoshida S, Graham RR, Manoharan A, Ortmann W, Bhangale T, Denny JC, ... Carroll RJ, et al. Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature. 506: 376-81. PMID 24390342 DOI: 10.1038/Nature12873 |
0.445 |
|
| 2013 |
Denny JC, Bastarache L, Ritchie MD, Carroll RJ, Zink R, Mosley JD, Field JR, Pulley JM, Ramirez AH, Bowton E, Basford MA, Carrell DS, Peissig PL, Kho AN, Pacheco JA, et al. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nature Biotechnology. 31: 1102-10. PMID 24270849 DOI: 10.1038/Nbt.2749 |
0.719 |
|
| 2013 |
Chen Y, Carroll RJ, Hinz ERM, Shah A, Eyler AE, Denny JC, Xu H. Applying active learning to high-throughput phenotyping algorithms for electronic health records data Journal of the American Medical Informatics Association. 20: e253-e259. PMID 23851443 DOI: 10.1136/Amiajnl-2013-001945 |
0.628 |
|
| 2012 |
Carroll RJ, Thompson WK, Eyler AE, Mandelin AM, Cai T, Zink RM, Pacheco JA, Boomershine CS, Lasko TA, Xu H, Karlson EW, Perez RG, Gainer VS, Murphy SN, Ruderman EM, et al. Portability of an algorithm to identify rheumatoid arthritis in electronic health records. Journal of the American Medical Informatics Association : Jamia. 19: e162-9. PMID 22374935 DOI: 10.1136/Amiajnl-2011-000583 |
0.505 |
|
| 2011 |
Carroll RJ, Eyler AE, Denny JC. Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2011: 189-196. PMID 22195070 |
0.512 |
|
| Show low-probability matches. |