These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
181 related articles for article (PubMed ID: 37607538)
1. The phenotype-genotype reference map: Improving biobank data science through replication. 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 Am J Hum Genet; 2023 Sep; 110(9):1522-1533. PubMed ID: 37607538 [TBL] [Abstract][Full Text] [Related]
2. Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics. McInnes G; Tanigawa Y; DeBoever C; Lavertu A; Olivieri JE; Aguirre M; Rivas MA Bioinformatics; 2019 Jul; 35(14):2495-2497. PubMed ID: 30520965 [TBL] [Abstract][Full Text] [Related]
3. Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. Grabowska ME; Van Driest SL; Robinson JR; Patrick AE; Guardo C; Gangireddy S; Ong HH; Feng Q; Carroll R; Kannankeril PJ; Wei WQ J Am Med Inform Assoc; 2024 Jan; 31(2):386-395. PubMed ID: 38041473 [TBL] [Abstract][Full Text] [Related]
4. Using Phecodes for Research with the Electronic Health Record: From PheWAS to PheRS. Bastarache L Annu Rev Biomed Data Sci; 2021 Jul; 4():1-19. PubMed ID: 34465180 [TBL] [Abstract][Full Text] [Related]
5. Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative. Johnson R; Ding Y; Venkateswaran V; Bhattacharya A; Boulier K; Chiu A; Knyazev S; Schwarz T; Freund M; Zhan L; Burch KS; Caggiano C; Hill B; Rakocz N; Balliu B; Denny CT; Sul JH; Zaitlen N; Arboleda VA; Halperin E; Sankararaman S; Butte MJ; ; Lajonchere C; Geschwind DH; Pasaniuc B Genome Med; 2022 Sep; 14(1):104. PubMed ID: 36085083 [TBL] [Abstract][Full Text] [Related]
6. Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks. Dey R; Zhou W; Kiiskinen T; Havulinna A; Elliott A; Karjalainen J; Kurki M; Qin A; ; Lee S; Palotie A; Neale B; Daly M; Lin X Nat Commun; 2022 Sep; 13(1):5437. PubMed ID: 36114182 [TBL] [Abstract][Full Text] [Related]
7. Developing and Evaluating Pediatric Phecodes (Peds-Phecodes) for High-Throughput Phenotyping Using Electronic Health Records. Grabowska ME; Van Driest SL; Robinson JR; Patrick AE; Guardo C; Gangireddy S; Ong H; Feng Q; Carroll R; Kannankeril PJ; Wei WQ medRxiv; 2023 Aug; ():. PubMed ID: 37662278 [TBL] [Abstract][Full Text] [Related]
8. Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation. Denaxas S; Liu G; Feng Q; Fatemifar G; Bastarache L; Kerchberger EV; Hingorani AD; Lumbers T; Peterson JF; Wei WQ; Hemingway H AMIA Annu Symp Proc; 2021; 2021():362-371. PubMed ID: 35308936 [No Abstract] [Full Text] [Related]
9. Assessing Digital Phenotyping to Enhance Genetic Studies of Human Diseases. DeBoever C; Tanigawa Y; Aguirre M; McInnes G; Lavertu A; Rivas MA Am J Hum Genet; 2020 May; 106(5):611-622. PubMed ID: 32275883 [TBL] [Abstract][Full Text] [Related]
10. An exploratory phenome wide association study linking asthma and liver disease genetic variants to electronic health records from the Estonian Biobank. James G; Reisberg S; Lepik K; Galwey N; Avillach P; Kolberg L; Mägi R; Esko T; Alexander M; Waterworth D; Loomis AK; Vilo J PLoS One; 2019; 14(4):e0215026. PubMed ID: 30978214 [TBL] [Abstract][Full Text] [Related]
11. Genetically determined serum urate levels and cardiovascular and other diseases in UK Biobank cohort: A phenome-wide mendelian randomization study. Li X; Meng X; He Y; Spiliopoulou A; Timofeeva M; Wei WQ; Gifford A; Yang T; Varley T; Tzoulaki I; Joshi P; Denny JC; Mckeigue P; Campbell H; Theodoratou E PLoS Med; 2019 Oct; 16(10):e1002937. PubMed ID: 31626644 [TBL] [Abstract][Full Text] [Related]
12. Applying semantic web technologies for phenome-wide scan using an electronic health record linked Biobank. Pathak J; Kiefer RC; Bielinski SJ; Chute CG J Biomed Semantics; 2012 Dec; 3(1):10. PubMed ID: 23244446 [TBL] [Abstract][Full Text] [Related]
13. A Fast and Accurate Method for Genome-wide Scale Phenome-wide G × E Analysis and Its Application to UK Biobank. Bi W; Zhao Z; Dey R; Fritsche LG; Mukherjee B; Lee S Am J Hum Genet; 2019 Dec; 105(6):1182-1192. PubMed ID: 31735295 [TBL] [Abstract][Full Text] [Related]
14. Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. Wei WQ; Bastarache LA; Carroll RJ; Marlo JE; Osterman TJ; Gamazon ER; Cox NJ; Roden DM; Denny JC PLoS One; 2017; 12(7):e0175508. PubMed ID: 28686612 [TBL] [Abstract][Full Text] [Related]
15. Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank. Zeng C; Schlueter DJ; Tran TC; Babbar A; Cassini T; Bastarache LA; Denny JC J Am Med Inform Assoc; 2024 Apr; 31(4):846-854. PubMed ID: 38263490 [TBL] [Abstract][Full Text] [Related]
16. To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice. Salvatore M; Kundu R; Shi X; Friese CR; Lee S; Fritsche LG; Mondul AM; Hanauer D; Pearce CL; Mukherjee B J Am Med Inform Assoc; 2024 Jun; 31(7):1479-1492. PubMed ID: 38742457 [TBL] [Abstract][Full Text] [Related]
17. BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data. Kässens JC; Wienbrandt L; Ellinghaus D Gigascience; 2021 Jun; 10(6):. PubMed ID: 34184051 [TBL] [Abstract][Full Text] [Related]
18. Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data. Bi W; Lee S Front Genet; 2021; 12():682638. PubMed ID: 34211504 [TBL] [Abstract][Full Text] [Related]