1269 related articles for article (PubMed ID: 20335276)
21. Phenome-Wide Association Study of Rheumatoid Arthritis Subgroups Identifies Association Between Seronegative Disease and Fibromyalgia.
Doss J; Mo H; Carroll RJ; Crofford LJ; Denny JC
Arthritis Rheumatol; 2017 Feb; 69(2):291-300. PubMed ID: 27589350
[TBL] [Abstract][Full Text] [Related]
22. High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.
Liao KP; Sun J; Cai TA; Link N; Hong C; Huang J; Huffman JE; Gronsbell J; Zhang Y; Ho YL; Castro V; Gainer V; Murphy SN; O'Donnell CJ; Gaziano JM; Cho K; Szolovits P; Kohane IS; Yu S; Cai T
J Am Med Inform Assoc; 2019 Nov; 26(11):1255-1262. PubMed ID: 31613361
[TBL] [Abstract][Full Text] [Related]
23. The use of phenome-wide association studies (PheWAS) for exploration of novel genotype-phenotype relationships and pleiotropy discovery.
Pendergrass SA; Brown-Gentry K; Dudek SM; Torstenson ES; Ambite JL; Avery CL; Buyske S; Cai C; Fesinmeyer MD; Haiman C; Heiss G; Hindorff LA; Hsu CN; Jackson RD; Kooperberg C; Le Marchand L; Lin Y; Matise TC; Moreland L; Monroe K; Reiner AP; Wallace R; Wilkens LR; Crawford DC; Ritchie MD
Genet Epidemiol; 2011 Jul; 35(5):410-22. PubMed ID: 21594894
[TBL] [Abstract][Full Text] [Related]
24. Phenome-wide association studies (PheWASs) for functional variants.
Ye Z; Mayer J; Ivacic L; Zhou Z; He M; Schrodi SJ; Page D; Brilliant MH; Hebbring SJ
Eur J Hum Genet; 2015 Apr; 23(4):523-9. PubMed ID: 25074467
[TBL] [Abstract][Full Text] [Related]
25. GWAS and PheWAS of red blood cell components in a Northern Nevadan cohort.
Read RW; Schlauch KA; Elhanan G; Metcalf WJ; Slonim AD; Aweti R; Borkowski R; Grzymski JJ
PLoS One; 2019; 14(6):e0218078. PubMed ID: 31194788
[TBL] [Abstract][Full Text] [Related]
26. Maturation and application of phenome-wide association studies.
Liu S; Crawford DC
Trends Genet; 2022 Apr; 38(4):353-363. PubMed ID: 34991903
[TBL] [Abstract][Full Text] [Related]
27. Methodology in phenome-wide association studies: a systematic review.
Wang L; Zhang X; Meng X; Koskeridis F; Georgiou A; Yu L; Campbell H; Theodoratou E; Li X
J Med Genet; 2021 Nov; 58(11):720-728. PubMed ID: 34272311
[TBL] [Abstract][Full Text] [Related]
28. Human-Disease Phenotype Map Derived from PheWAS across 38,682 Individuals.
Verma A; Bang L; Miller JE; Zhang Y; Lee MTM; Zhang Y; Byrska-Bishop M; Carey DJ; Ritchie MD; Pendergrass SA; Kim D;
Am J Hum Genet; 2019 Jan; 104(1):55-64. PubMed ID: 30598166
[TBL] [Abstract][Full Text] [Related]
29. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data.
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; Rasmussen LV; Crosslin DR; Crane PK; Pathak J; Bielinski SJ; Pendergrass SA; Xu H; Hindorff LA; Li R; Manolio TA; Chute CG; Chisholm RL; Larson EB; Jarvik GP; Brilliant MH; McCarty CA; Kullo IJ; Haines JL; Crawford DC; Masys DR; Roden DM
Nat Biotechnol; 2013 Dec; 31(12):1102-10. PubMed ID: 24270849
[TBL] [Abstract][Full Text] [Related]
30. Contrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.
Leader JB; Pendergrass SA; Verma A; Carey DJ; Hartzel DN; Ritchie MD; Kirchner HL
AMIA Annu Symp Proc; 2015; 2015():824-32. PubMed ID: 26958218
[TBL] [Abstract][Full Text] [Related]
31. HCLC-FC: A novel statistical method for phenome-wide association studies.
Liang X; Cao X; Sha Q; Zhang S
PLoS One; 2022; 17(11):e0276646. PubMed ID: 36350801
[TBL] [Abstract][Full Text] [Related]
32. Overcome the Limitation of Phenome-Wide Association Studies (PheWAS): Extension of PheWAS to Efficient and Robust Large-Scale ICD Codes Analysis.
Lin YC; Zhang S; Vessels T; Bastarache L; Bejan CA; Hsie RS; Philips EJ; Ruderfer DM; Pulley JM; Edwards TL; Wells QS; Warner JL; Denny JC; Roden DM; Kang H; Xu Y
medRxiv; 2024 Apr; ():. PubMed ID: 38699370
[TBL] [Abstract][Full Text] [Related]
33. Leveraging Genome and Phenome-Wide Association Studies to Investigate Genetic Risk of Acute Lymphoblastic Leukemia.
Semmes EC; Vijayakrishnan J; Zhang C; Hurst JH; Houlston RS; Walsh KM
Cancer Epidemiol Biomarkers Prev; 2020 Aug; 29(8):1606-1614. PubMed ID: 32467347
[TBL] [Abstract][Full Text] [Related]
34. Phenome-wide association studies on cardiovascular health and fatty acids considering phenotype quality control practices for epidemiological data.
Passero K; He X; Zhou J; Mueller-Myhsok B; Kleber ME; Maerz W; Hall MA
Pac Symp Biocomput; 2020; 25():659-670. PubMed ID: 31797636
[TBL] [Abstract][Full Text] [Related]
35. Phenome-Wide Association Studies: Leveraging Comprehensive Phenotypic and Genotypic Data for Discovery.
Pendergrass SA; Ritchie MD
Curr Genet Med Rep; 2015 Jun; 3(2):92-100. PubMed ID: 26146598
[TBL] [Abstract][Full Text] [Related]
36. A simulation study investigating power estimates in phenome-wide association studies.
Verma A; Bradford Y; Dudek S; Lucas AM; Verma SS; Pendergrass SA; Ritchie MD
BMC Bioinformatics; 2018 Apr; 19(1):120. PubMed ID: 29618318
[TBL] [Abstract][Full Text] [Related]
37. IDENTIFYING GENETIC ASSOCIATIONS WITH VARIABILITY IN METABOLIC HEALTH AND BLOOD COUNT LABORATORY VALUES: DIVING INTO THE QUANTITATIVE TRAITS BY LEVERAGING LONGITUDINAL DATA FROM AN EHR.
Verma SS; Lucas AM; Lavage DR; Leader JB; Metpally R; Krishnamurthy S; Dewey F; Borecki I; Lopez A; Overton J; Penn J; Reid J; Pendergrass SA; Breitwieser G; Ritchie MD
Pac Symp Biocomput; 2017; 22():533-544. PubMed ID: 27897004
[TBL] [Abstract][Full Text] [Related]
38. PheWAS-ME: a web-app for interactive exploration of multimorbidity patterns in PheWAS.
Strayer N; Shirey-Rice JK; Shyr Y; Denny JC; Pulley JM; Xu Y
Bioinformatics; 2021 Jul; 37(12):1778-1780. PubMed ID: 33051675
[TBL] [Abstract][Full Text] [Related]
39. Integrative pathway-based approach for genome-wide association studies: identification of new pathways for rheumatoid arthritis and type 1 diabetes.
Büchel F; Mittag F; Wrzodek C; Zell A; Gasser T; Sharma M
PLoS One; 2013; 8(10):e78577. PubMed ID: 24205270
[TBL] [Abstract][Full Text] [Related]
40. Phenome-wide association study (PheWAS) of colorectal cancer risk SNP effects on health outcomes in UK Biobank.
Zhang X; Li X; He Y; Law PJ; Farrington SM; Campbell H; Tomlinson IPM; Houlston RS; Dunlop MG; Timofeeva M; Theodoratou E
Br J Cancer; 2022 Mar; 126(5):822-830. PubMed ID: 34912076
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
