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Nature Reviews Genetics
Volumn 15, Issue 1, 2014, Pages 2-
Disease genetics: Phenome-wide association studies go large

(1)  Flintoft, Louisa a  

a NONE
Author keywords

[No Author keywords available]
Indexed keywords

ELECTRONIC MEDICAL RECORD; GENETIC ASSOCIATION; GENETIC DISORDER; NOTE; PHENOME WIDE ASSOCIATION; PHENOTYPE; PLEIOTROPY; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM;
EID: 84890558752     PISSN: 14710056     EISSN: 14710064     Source Type: Journal    
DOI: 10.1038/nrg3637     Document Type: Note
Times cited : (9)
References (3)
  • 1
    • 84890107642 scopus 로고    scopus 로고
    • Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data
    • Denny, J. C. et al. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nature Biotech. http://dx.doi.org/10.1038/nbt.2749 (2013)
    • (2013) Nature Biotech.
    • Denny, J.C.1
  • 2
    • 79956327715 scopus 로고    scopus 로고
    • Using electronic health records to drive discovery in disease genomics
    • Kohane, I. S. Using electronic health records to drive discovery in disease genomics. Nature Rev. Genet. 12, 417-428 (2011)
    • (2011) Nature Rev. Genet. , vol.12 , pp. 417-428
    • Kohane, I.S.1
  • 3
    • 84861235431 scopus 로고    scopus 로고
    • Mining electronic health records: Towards better research applications and clinical care
    • Jensen, P. B., Jensen, L. J. & Brunak, S. Mining electronic health records: towards better research applications and clinical care. Nature Rev. Genet. 13, 395-405 (2012)
    • (2012) Nature Rev. Genet. , vol.13 , pp. 395-405
    • Jensen, P.B.1    Jensen, L.J.2    Brunak, S.3

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.