Accès gratuit
Numéro |
Med Sci (Paris)
Volume 34, Numéro 10, Octobre 2018
Numérique et santé
|
|
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Page(s) | 849 - 851 | |
Section | M/S Revues | |
DOI | https://doi.org/10.1051/medsci/2018203 | |
Publié en ligne | 19 novembre 2018 |
- Topol EJ, Murray SS, Frazer KA. The genomics gold rush. JAMA 2007 ; 298 : 218–221. [CrossRef] [PubMed] [Google Scholar]
- Towbin JA, Bowles NE. Molecular diagnosis of myocardial disease. Expert Rev Mol Diagn 2002 ; 2 : 587–602. [CrossRef] [PubMed] [Google Scholar]
- Todd JA, Walker NM, Cooper JD, et al. Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes. Nat Genet 2007 ; 39 : 857–864. [Google Scholar]
- Grant SF, Thorleifsson G, Reynisdottir I, et al. Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes. Nat Genet 2006 ; 38 : 320–323. [Google Scholar]
- Zeggini E, Weedon MN, Lindgren CM, et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 2007 ; 316 : 1336–1341. [Google Scholar]
- Helgadottir A, Thorleifsson G, Manolescu A, et al. A common variant on chromosome 9p21 affects the risk of myocardial infarction. Science 2007 ; 316 : 1491–1493. [Google Scholar]
- Strausberg RL, Simpson AJ, Old LJ, Riggins GJ. Oncogenomics and the development of new cancer therapies. Nature 2004 ; 429 : 469–474. [CrossRef] [PubMed] [Google Scholar]
- Easton DF, Pooley KA, Dunning AM, et al. Genome-wide association study identifies novel breast cancer susceptibility loci. Nature 2007 ; 447 : 1087–1093. [CrossRef] [PubMed] [Google Scholar]
- Stacey SN, Manolescu A, Sulem P, et al. Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet 2007 ; 39 : 865–869. [Google Scholar]
- Gudmundsson J, Sulem P, Manolescu A, et al. Genome-wide association study identifies a second prostate cancer susceptibility variant at 8q24. Nat Genet 2007 ; 39 : 631–637. [Google Scholar]
- Zanke BW, Greenwood CM, Rangrej J, et al. Genome-wide association scan identifies a colorectal cancer susceptibility locus on chromosome 8q24. Nat Genet 2007 ; 39 : 989–994. [Google Scholar]
- Haiman CA, Le Marchand L, Yamamato J, et al. A common genetic risk factor for colorectal and prostate cancer. Nat Genet 2007 ; 39 : 954–956. [Google Scholar]
- Haines JL, Hauser MA, Schmidt S, et al. Complement factor H variant increases the risk of age-related macular degeneration. Science 2005 ; 308 : 419–421. [Google Scholar]
- Klein RJ, Zeiss C, Chew EY, et al. Complement factor H polymorphism in age-related macular degeneration. Science 2005 ; 308 : 385–389. [Google Scholar]
- Rioux JD, Xavier RJ, Taylor KD, et al. Genome-wide association study identifies new susceptibility loci for Crohn disease and implicates autophagy in disease pathogenesis. Nat Genet 2007 ; 39 : 596–604. [Google Scholar]
- Leboyer M, Bellivier F, , Nosten-Bertrand M, et al. Psychiatric genetics: search for phenotypes. Trends Neurosci 1998 ; 21 : 102–105. [CrossRef] [PubMed] [Google Scholar]
- Garraway LA, Verweij J, Ballman KV. Precision oncology: an overview. J Clin Oncol 2013 ; 31 : 1803–1805. [CrossRef] [PubMed] [Google Scholar]
- Kristensen VN, Lingjaerde OC, Russnes HG, et al. Principles and methods of integrative genomic analyses in cancer. Nat Rev Cancer 2014 ; 14 : 299–313. [Google Scholar]
- Kumar V, Gu Y, Basu S, et al. Radiomics: the process and the challenges. Magn Reson Imaging 2012 ; 30 : 1234–1248. [CrossRef] [PubMed] [Google Scholar]
- Yuan Y, Failmezger H, Rueda OM, et al. Quantitative image analysis of cellular heterogeneity in breast tumors complements genomic profiling. Sci Transl Med 2012; 4 : 157ra43. [Google Scholar]
- Cheung HW, Cowley GS, Weir BA, et al. Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer. Proc Natl Acad Sci USA 2011 ; 108 : 12372–12377. [CrossRef] [Google Scholar]
- Martin M. Rewriting the mathematics of tumor growth. J Natl Cancer Inst 2011 ; 103 : 1564–1565. [CrossRef] [PubMed] [Google Scholar]
- Senft D, Leiserson MDM, Ruppin E, Ronai ZA. Precision oncology: the road ahead. Trends Mol Med 2018 ; 23 : 874–898. [Google Scholar]
- Basik M, Aguilar-Mahecha A, Rousseau C, et al. Biopsies: next-generation biospecimens for tailoring therapy. Nat Rev Clin Oncol 2013 ; 10 : 437–450. [PubMed] [Google Scholar]
- Samuels S, Balint B, , von der Leyen H, et al. Precision medicine in cancer: challenges and recommendations from an EU-funded cervical cancer biobanking study. Br J Cancer 2016 ; 115 : 1575–1583. [CrossRef] [PubMed] [Google Scholar]
- Alberich-Bayarri A, Hernandez-Navarro R, , Ruiz-Martinez E, et al. Development of imaging biomarkers and generation of big data. Radiol Med 2017 ; 122 : 444–448. [CrossRef] [PubMed] [Google Scholar]
- McIntyre RS, Cha DS, Jerrell JM, et al. Advancing biomarker research: utilizing ‘Big Data’ approaches for the characterization and prevention of bipolar disorder. Bipolar Disord 2014 ; 16 : 531–547. [CrossRef] [PubMed] [Google Scholar]
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