167 related articles for article (PubMed ID: 25062868)
21. Test of association between haplotypes and phenotypes in case-control studies: examination of validity of the application of an algorithm for samples from cohort or clinical trials to case-control samples using simulated and real data.
Furihata S; Ito T; Kamatani N
Genetics; 2006 Nov; 174(3):1505-16. PubMed ID: 16980401
[TBL] [Abstract][Full Text] [Related]
22. Associations of autoantibodies, autoimmune risk alleles, and clinical diagnoses from the electronic medical records in rheumatoid arthritis cases and non-rheumatoid arthritis controls.
Liao KP; Kurreeman F; Li G; Duclos G; Murphy S; Guzman R; Cai T; Gupta N; Gainer V; Schur P; Cui J; Denny JC; Szolovits P; Churchill S; Kohane I; Karlson EW; Plenge RM
Arthritis Rheum; 2013 Mar; 65(3):571-81. PubMed ID: 23233247
[TBL] [Abstract][Full Text] [Related]
23. A rule-based electronic phenotyping algorithm for detecting clinically relevant cardiovascular disease cases.
Esteban S; Rodríguez Tablado M; Ricci RI; Terrasa S; Kopitowski K
BMC Res Notes; 2017 Jul; 10(1):281. PubMed ID: 28705240
[TBL] [Abstract][Full Text] [Related]
24. Detecting sample misidentifications in genetic association studies.
Ekstrøm CT; Feenstra B
Stat Appl Genet Mol Biol; 2012; 11(3):Article 13. PubMed ID: 22611595
[TBL] [Abstract][Full Text] [Related]
25. Translating genome wide association study results to associations among common diseases: in silico study with an electronic medical record.
Anand V; Rosenman MB; Downs SM
Int J Med Inform; 2013 Sep; 82(9):864-74. PubMed ID: 23743324
[TBL] [Abstract][Full Text] [Related]
26. HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology.
Shen F; Peng S; Fan Y; Wen A; Liu S; Wang Y; Wang L; Liu H
J Biomed Inform; 2019 Aug; 96():103246. PubMed ID: 31255713
[TBL] [Abstract][Full Text] [Related]
27. A Powerful Method To Test Associations Between Ordinal Traits and Genotypes.
Wang J; Ding J; Huang S; Li Q; Pan D
G3 (Bethesda); 2019 Aug; 9(8):2573-2579. PubMed ID: 31167832
[TBL] [Abstract][Full Text] [Related]
28. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.
Denny JC; Ritchie MD; Basford MA; Pulley JM; Bastarache L; Brown-Gentry K; Wang D; Masys DR; Roden DM; Crawford DC
Bioinformatics; 2010 May; 26(9):1205-10. PubMed ID: 20335276
[TBL] [Abstract][Full Text] [Related]
29. Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record.
Lin C; Karlson EW; Dligach D; Ramirez MP; Miller TA; Mo H; Braggs NS; Cagan A; Gainer V; Denny JC; Savova GK
J Am Med Inform Assoc; 2015 Apr; 22(e1):e151-61. PubMed ID: 25344930
[TBL] [Abstract][Full Text] [Related]
30. Electronic medical records for genetic research: results of the eMERGE consortium.
Kho AN; Pacheco JA; Peissig PL; Rasmussen L; Newton KM; Weston N; Crane PK; Pathak J; Chute CG; Bielinski SJ; Kullo IJ; Li R; Manolio TA; Chisholm RL; Denny JC
Sci Transl Med; 2011 Apr; 3(79):79re1. PubMed ID: 21508311
[TBL] [Abstract][Full Text] [Related]
31. Power and sample size calculations in the presence of phenotype errors for case/control genetic association studies.
Edwards BJ; Haynes C; Levenstien MA; Finch SJ; Gordon D
BMC Genet; 2005 Apr; 6():18. PubMed ID: 15819990
[TBL] [Abstract][Full Text] [Related]
32. SPS: A Simulation Tool for Calculating Power of Set-Based Genetic Association Tests.
Li J; Sham PC; Song Y; Li M
Genet Epidemiol; 2015 Jul; 39(5):395-7. PubMed ID: 25995121
[TBL] [Abstract][Full Text] [Related]
33. The validity of the diagnosis of inflammatory arthritis in a large population-based primary care database.
Nielen MM; Ursum J; Schellevis FG; Korevaar JC
BMC Fam Pract; 2013 Jun; 14():79. PubMed ID: 24128086
[TBL] [Abstract][Full Text] [Related]
34. A Text Structuring Method for Chinese Medical Text Based on Temporal Information.
Zhang R; Chu F; Chen D; Shang X
Int J Environ Res Public Health; 2018 Feb; 15(3):. PubMed ID: 29495428
[TBL] [Abstract][Full Text] [Related]
35. Meta-analysis of sequencing studies with heterogeneous genetic associations.
Tang ZZ; Lin DY
Genet Epidemiol; 2014 Jul; 38(5):389-401. PubMed ID: 24799183
[TBL] [Abstract][Full Text] [Related]
36. Determining Multiple Sclerosis Phenotype from Electronic Medical Records.
Nelson RE; Butler J; LaFleur J; Knippenberg K; C Kamauu AW; DuVall SL
J Manag Care Spec Pharm; 2016 Dec; 22(12):1377-1382. PubMed ID: 27882837
[TBL] [Abstract][Full Text] [Related]
37. LRTae: improving statistical power for genetic association with case/control data when phenotype and/or genotype misclassification errors are present.
Barral S; Haynes C; Stone M; Gordon D
BMC Genet; 2006 Apr; 7():24. PubMed ID: 16689984
[TBL] [Abstract][Full Text] [Related]
38. Phenotype validation in electronic health records based genetic association studies.
Wang L; Damrauer SM; Zhang H; Zhang AX; Xiao R; Moore JH; Chen J
Genet Epidemiol; 2017 Dec; 41(8):790-800. PubMed ID: 29023970
[TBL] [Abstract][Full Text] [Related]
39. A method for cohort selection of cardiovascular disease records from an electronic health record system.
Abrahão MTF; Nobre MRC; Gutierrez MA
Int J Med Inform; 2017 Jun; 102():138-149. PubMed ID: 28495342
[TBL] [Abstract][Full Text] [Related]
40. Public sector reforms and their impact on the level of corruption: A systematic review.
Mugellini G; Della Bella S; Colagrossi M; Isenring GL; Killias M
Campbell Syst Rev; 2021 Jun; 17(2):e1173. PubMed ID: 37131927
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
