189 related articles for article (PubMed ID: 33051675)
1. 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]
2. PheMIME: An Interactive Web App and Knowledge Base for Phenome-Wide, Multi-Institutional Multimorbidity Analysis.
Zhang S; Strayer N; Vessels T; Choi K; Wang GW; Li Y; Bejan CA; Hsi RS; Bick AG; Velez Edwards DR; Savona MR; Philips EJ; Pulley J; Self WH; Hopkins WC; Roden DM; Smoller JW; Ruderfer DM; Xu Y
medRxiv; 2023 Jul; ():. PubMed ID: 37547012
[TBL] [Abstract][Full Text] [Related]
3. Interactive network-based clustering and investigation of multimorbidity association matrices with associationSubgraphs.
Strayer N; Zhang S; Yao L; Vessels T; Bejan CA; Hsi RS; Shirey-Rice JK; Balko JM; Johnson DB; Phillips EJ; Bick A; Edwards TL; Velez Edwards DR; Pulley JM; Wells QS; Savona MR; Cox NJ; Roden DM; Ruderfer DM; Xu Y
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36472455
[TBL] [Abstract][Full Text] [Related]
4. INTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES.
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
Pac Symp Biocomput; 2016; 21():168-79. PubMed ID: 26776183
[TBL] [Abstract][Full Text] [Related]
5. SAIGEgds-an efficient statistical tool for large-scale PheWAS with mixed models.
Zheng X; Davis JW
Bioinformatics; 2021 May; 37(5):728-730. PubMed ID: 32898220
[TBL] [Abstract][Full Text] [Related]
6. PheWAS analysis on large-scale biobank data with PheTK.
Tran TC; Schlueter DJ; Zeng C; Mo H; Carroll RJ; Denny JC
medRxiv; 2024 Feb; ():. PubMed ID: 38410487
[TBL] [Abstract][Full Text] [Related]
7. Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects.
Choi L; Carroll RJ; Beck C; Mosley JD; Roden DM; Denny JC; Van Driest SL
Bioinformatics; 2018 Sep; 34(17):2988-2996. PubMed ID: 29912272
[TBL] [Abstract][Full Text] [Related]
8. NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results.
Sriram V; Shivakumar M; Jung SH; Nam Y; Bang L; Verma A; Lee S; Choe EK; Kim D
Gigascience; 2022 Feb; 11():. PubMed ID: 35166337
[TBL] [Abstract][Full Text] [Related]
9. Neuroimaging PheWAS (Phenome-Wide Association Study): A Free Cloud-Computing Platform for Big-Data, Brain-Wide Imaging Association Studies.
Zhao L; Batta I; Matloff W; O'Driscoll C; Hobel S; Toga AW
Neuroinformatics; 2021 Apr; 19(2):285-303. PubMed ID: 32822005
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. The challenges, advantages and future of phenome-wide association studies.
Hebbring SJ
Immunology; 2014 Feb; 141(2):157-65. PubMed ID: 24147732
[TBL] [Abstract][Full Text] [Related]
12. [Research progress in the methodology used in phenome-wide association studies].
Jiang FY; Wang LJ; Sun J; Yu LL; Zhou X; Zhu YM; Li X
Zhonghua Liu Xing Bing Xue Za Zhi; 2022 Jul; 43(7):1154-1161. PubMed ID: 35856214
[TBL] [Abstract][Full Text] [Related]
13. PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.
Zheng NS; Feng Q; Kerchberger VE; Zhao J; Edwards TL; Cox NJ; Stein CM; Roden DM; Denny JC; Wei WQ
J Am Med Inform Assoc; 2020 Nov; 27(11):1675-1687. PubMed ID: 32974638
[TBL] [Abstract][Full Text] [Related]
14. LocusZoom.js: interactive and embeddable visualization of genetic association study results.
Boughton AP; Welch RP; Flickinger M; VandeHaar P; Taliun D; Abecasis GR; Boehnke M
Bioinformatics; 2021 Sep; 37(18):3017-3018. PubMed ID: 33734315
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. 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]
19. R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment.
Carroll RJ; Bastarache L; Denny JC
Bioinformatics; 2014 Aug; 30(16):2375-6. PubMed ID: 24733291
[TBL] [Abstract][Full Text] [Related]
20. A Fast and Accurate Algorithm to Test for Binary Phenotypes and Its Application to PheWAS.
Dey R; Schmidt EM; Abecasis GR; Lee S
Am J Hum Genet; 2017 Jul; 101(1):37-49. PubMed ID: 28602423
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
