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Items: 1 to 20 of 81

1.

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 20;3(79):79re1. doi: 10.1126/scitranslmed.3001807.

2.

The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies.

McCarty CA, Chisholm RL, Chute CG, Kullo IJ, Jarvik GP, Larson EB, Li R, Masys DR, Ritchie MD, Roden DM, Struewing JP, Wolf WA; eMERGE Team..

BMC Med Genomics. 2011 Jan 26;4:13. doi: 10.1186/1755-8794-4-13.

3.

The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future.

Gottesman O, Kuivaniemi H, Tromp G, Faucett WA, Li R, Manolio TA, Sanderson SC, Kannry J, Zinberg R, Basford MA, Brilliant M, Carey DJ, Chisholm RL, Chute CG, Connolly JJ, Crosslin D, Denny JC, Gallego CJ, Haines JL, Hakonarson H, Harley J, Jarvik GP, Kohane I, Kullo IJ, Larson EB, McCarty C, Ritchie MD, Roden DM, Smith ME, Böttinger EP, Williams MS; eMERGE Network..

Genet Med. 2013 Oct;15(10):761-71. doi: 10.1038/gim.2013.72. Epub 2013 Jun 6. Review.

4.

Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data quality.

Zuvich RL, Armstrong LL, Bielinski SJ, Bradford Y, Carlson CS, Crawford DC, Crenshaw AT, de Andrade M, Doheny KF, Haines JL, Hayes MG, Jarvik GP, Jiang L, Kullo IJ, Li R, Ling H, Manolio TA, Matsumoto ME, McCarty CA, McDavid AN, Mirel DB, Olson LM, Paschall JE, Pugh EW, Rasmussen LV, Rasmussen-Torvik LJ, Turner SD, Wilke RA, Ritchie MD.

Genet Epidemiol. 2011 Dec;35(8):887-98. doi: 10.1002/gepi.20639.

5.

Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network.

Newton KM, Peissig PL, Kho AN, Bielinski SJ, Berg RL, Choudhary V, Basford M, Chute CG, Kullo IJ, Li R, Pacheco JA, Rasmussen LV, Spangler L, Denny JC.

J Am Med Inform Assoc. 2013 Jun;20(e1):e147-54. doi: 10.1136/amiajnl-2012-000896. Epub 2013 Mar 26.

6.

Development and validation of an electronic phenotyping algorithm for chronic kidney disease.

Nadkarni GN, Gottesman O, Linneman JG, Chase H, Berg RL, Farouk S, Nadukuru R, Lotay V, Ellis S, Hripcsak G, Peissig P, Weng C, Bottinger EP.

AMIA Annu Symp Proc. 2014 Nov 14;2014:907-16. eCollection 2014.

7.

Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.

Kho AN, Hayes MG, Rasmussen-Torvik L, Pacheco JA, Thompson WK, Armstrong LL, Denny JC, Peissig PL, Miller AW, Wei WQ, Bielinski SJ, Chute CG, Leibson CL, Jarvik GP, Crosslin DR, Carlson CS, Newton KM, Wolf WA, Chisholm RL, Lowe WL.

J Am Med Inform Assoc. 2012 Mar-Apr;19(2):212-8. doi: 10.1136/amiajnl-2011-000439. Epub 2011 Nov 19.

8.

Ethical and practical challenges of sharing data from genome-wide association studies: the eMERGE Consortium experience.

McGuire AL, Basford M, Dressler LG, Fullerton SM, Koenig BA, Li R, McCarty CA, Ramos E, Smith ME, Somkin CP, Waudby C, Wolf WA, Clayton EW.

Genome Res. 2011 Jul;21(7):1001-7. doi: 10.1101/gr.120329.111. Epub 2011 Jun 1.

9.

An eClinical trial system for cancer that integrates with clinical pathways and electronic medical records.

Yamamoto K, Yamanaka K, Hatano E, Sumi E, Ishii T, Taura K, Iguchi K, Teramukai S, Yokode M, Uemoto S, Fukushima M.

Clin Trials. 2012 Aug;9(4):408-17. doi: 10.1177/1740774512445912. Epub 2012 May 17.

PMID:
22605791
10.

Variants near FOXE1 are associated with hypothyroidism and other thyroid conditions: using electronic medical records for genome- and phenome-wide studies.

Denny JC, Crawford DC, Ritchie MD, Bielinski SJ, Basford MA, Bradford Y, Chai HS, Bastarache L, Zuvich R, Peissig P, Carrell D, Ramirez AH, Pathak J, Wilke RA, Rasmussen L, Wang X, Pacheco JA, Kho AN, Hayes MG, Weston N, Matsumoto M, Kopp PA, Newton KM, Jarvik GP, Li R, Manolio TA, Kullo IJ, Chute CG, Chisholm RL, Larson EB, McCarty CA, Masys DR, Roden DM, de Andrade M.

Am J Hum Genet. 2011 Oct 7;89(4):529-42. doi: 10.1016/j.ajhg.2011.09.008.

11.

Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records.

Sinnott JA, Dai W, Liao KP, Shaw SY, Ananthakrishnan AN, Gainer VS, Karlson EW, Churchill S, Szolovits P, Murphy S, Kohane I, Plenge R, Cai T.

Hum Genet. 2014 Nov;133(11):1369-82. doi: 10.1007/s00439-014-1466-9. Epub 2014 Jul 26.

12.

A review of the role of electronic health record in genomic research.

Krishnamoorthy P, Gupta D, Chatterjee S, Huston J, Ryan JJ.

J Cardiovasc Transl Res. 2014 Nov;7(8):692-700. doi: 10.1007/s12265-014-9586-0. Epub 2014 Aug 14. Review.

PMID:
25119857
13.

Electronic medical records and genomics (eMERGE) network exploration in cataract: several new potential susceptibility loci.

Ritchie MD, Verma SS, Hall MA, Goodloe RJ, Berg RL, Carrell DS, Carlson CS, Chen L, Crosslin DR, Denny JC, Jarvik G, Li R, Linneman JG, Pathak J, Peissig P, Rasmussen LV, Ramirez AH, Wang X, Wilke RA, Wolf WA, Torstenson ES, Turner SD, McCarty CA.

Mol Vis. 2014 Sep 19;20:1281-95. eCollection 2014.

14.

eMERGEing progress in genomics-the first seven years.

Crawford DC, Crosslin DR, Tromp G, Kullo IJ, Kuivaniemi H, Hayes MG, Denny JC, Bush WS, Haines JL, Roden DM, McCarty CA, Jarvik GP, Ritchie MD.

Front Genet. 2014 Jun 17;5:184. doi: 10.3389/fgene.2014.00184. eCollection 2014. Review.

15.

Enhancing the power of genetic association studies through the use of silver standard cases derived from electronic medical records.

McDavid A, Crane PK, Newton KM, Crosslin DR, McCormick W, Weston N, Ehrlich K, Hart E, Harrison R, Kukull WA, Rottscheit C, Peissig P, Stefanski E, McCarty CA, Zuvich RL, Ritchie MD, Haines JL, Denny JC, Schellenberg GD, de Andrade M, Kullo I, Li R, Mirel D, Crenshaw A, Bowen JD, Li G, Tsuang D, McCurry S, Teri L, Larson EB, Jarvik GP, Carlson CS.

PLoS One. 2013 Jun 10;8(6):e63481. doi: 10.1371/journal.pone.0063481. Print 2013.

16.

An eMERGE Clinical Center at Partners Personalized Medicine.

Smoller JW, Karlson EW, Green RC, Kathiresan S, MacArthur DG, Talkowski ME, Murphy SN, Weiss ST.

J Pers Med. 2016 Jan 20;6(1). pii: E5. doi: 10.3390/jpm6010005.

17.

Quality control procedures for genome-wide association studies.

Turner S, Armstrong LL, Bradford Y, Carlson CS, Crawford DC, Crenshaw AT, de Andrade M, Doheny KF, Haines JL, Hayes G, Jarvik G, Jiang L, Kullo IJ, Li R, Ling H, Manolio TA, Matsumoto M, McCarty CA, McDavid AN, Mirel DB, Paschall JE, Pugh EW, Rasmussen LV, Wilke RA, Zuvich RL, Ritchie MD.

Curr Protoc Hum Genet. 2011 Jan;Chapter 1:Unit1.19. doi: 10.1002/0471142905.hg0119s68.

18.

Are electronic medical records helpful for care coordination? Experiences of physician practices.

O'Malley AS, Grossman JM, Cohen GR, Kemper NM, Pham HH.

J Gen Intern Med. 2010 Mar;25(3):177-85. doi: 10.1007/s11606-009-1195-2. Epub 2009 Dec 22.

19.

Chances and challenges of using routine data collections for renal health care research.

Heinze G, Wallisch C, Kainz A, Hronsky M, Leffondré K, Oberbauer R, Mayer G.

Nephrol Dial Transplant. 2015 Aug;30 Suppl 4:iv68-75. doi: 10.1093/ndt/gfv110.

PMID:
26209741
20.

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. doi: 10.1016/j.ijmedinf.2013.05.003. Epub 2013 Jun 3.

PMID:
23743324

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