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1Academic Journal
Authors: B. A. Kobrinskii, Б. А. Кобринский
Source: Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics); Том 62, № 5 (2017); 16-20 ; Российский вестник перинатологии и педиатрии; Том 62, № 5 (2017); 16-20 ; 2500-2228 ; 1027-4065 ; 10.21508/1027-4065-2017-62-5
Subject Terms: таргетная терапия, personalized medicine, genomics, personal (home) mobile health care, e-health, partisipative medicine, metaanalysis, targeted therapy, персонализированная медицина, геномика, персональное (домашнее) мобильное здравоохранение, электронное здравоохранение, партисипативная медицина, метаанализ
File Description: application/pdf
Relation: https://www.ped-perinatology.ru/jour/article/view/545/532; Кобринский Б.А. Континуум переходных состояний организма и мониторинг динамики здоровья детей. 2-е изд. М.–Берлин: Direct-Media, 2016; 220. [Kobrinskii B.A. Continuum of transitional states of the body and monitoring the dynamics of children’s health. Moscow – Berlin: Direct-Media, 2016; 220. (in Russ)]; Wilson E.V. ( Ed.) Patient-Centered E-Health. Hershey, New York: Information Science Reference, 2009; 300. http://222.255.132.18:8085/Portals/0/Docs/112144754-1605660167.pdf; Hood L., Galas D. P4 Medicine: Personalized, Predictive, Preventive, Participatory: A Change of View that Changes Everything: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. 2008; 4. http://cra.org/ccc/resources/ccc-ledwhitepapers 4. Elborn J.S. The impact of personalised therapies on respiratory medicine. European Respiratory Review 2013; 22 (127): 72–74. http://err.ersjournals.com/content/22/127; Ozomaro B.U., Nemeroff C.B., Wahlestedt C., Goal A. Personalized medicine and psychiatry: Dream or reality? Psychiatric Times 2014; October 20: 1–6. www.psychiatrictimes.com; Greely H.T. Get ready for the flood of fetal gene screening. Nature 2011; 469 (7330): 289– 29.1 http://www.nature.com.proxy.lib.umich.edu/nature.journal/v469/n7330/full.469289a.html; Feero W.G., Gutmacher A.E. Genomics, personalized medicine, and pediatrics. Academic Pediatrics 2014; 14 (1): 14– 22. https://www.ncbi.nlm.nih.gov/pubmed/24369865; Arnold D., Jones B.L. Personalized medicine: a pediatric perspective. Current Allergy and Asthma Reports 2009; 9 (6): 426–432. http://www.citeulike.org/article/5956257; Yang J., Benyamin B., McEvoy B.P. Gordon S., Henders A.K, Nyholt D.R. et al. Common SNPs explain a large proportion of the heritability for human height. Nature Genetics 2010; 42 (7): 565–569. https://www.ncbi.nlm.nih.gov/pubmed/20562875; Moser G., Lee S.H., Hayes B.J., Goddard M.E., Wray N.R., Visscher P.M. Simultaneous discovery, estimation and prediction analysis of complex traits using a Bayesian mixture model. PLoS Genetics 2015; 11 (4): e1004969. https://www.ncbi.nlm.nih.gov/pubmed/25849665; Visscher P.M., Brown M.A., McCarthy M.I., Yang J. Five years of GWAS discovery. Am J Hum Genet 2012; 90 (1): 7–24. https://www.ncbi.nlm.nih.gov/pubmed/22243964; Motsinger-Reif A.A., Jorgenson E., Relling M.V., Kroetz D.L., Weinshilboum R., Cox N.J., Roden D.M. Genome-wide association studies in pharmacogenomics: successes and lessons. Pharmacogenetics and Genomics 2013; 23 (8): 383–394. https://mayoclinic.pure.elsevier.com/en/publications/genome-wideassociation-studies-in-pharmacogenomics-successes; Tomczak K, Czerwinska P, Wiznerowicz M. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge. Contemporary Oncology 2015; 19 (1A): A68–A77. https://www.ncbi.nlm.nih.gov/pubmed/25691825; Lippert C., Listgarten J., Liu Y., Kadie C.M., Davidson R.I., Heckerman D. FaST linear mixed models for genome-wide association studies. Nature Methods 2011; 8 (10): 833–835. http://www.nature.com/nmeth/journal/v8/n10/index.html; Korte A., Vilhjalmsson B.J., Segura V., Platt A., Long Q., Nordborg M. A mixed-model approach for genome-wide association studies of correlated traits in structured populations. Nature Genetics 2012; 44 (9): 1066–1071. https://www.ncbi.nlm.nih.gov/pubmed/22902788?dopt=Abstract&holding=npg; Zhou X., Stephens M. Genome-wide efficient mixed-model analysis for association studies. Nature Genetics 2012; 44 (7): 821–824. https://www.nature.com/ng/journal/v44/n7/full/ng.2310.html; Huang B.E, Mulyasasmita W., Rajagopal G. The path from big data to precision medicine. Expert review of precision medicine and drug development 2016; 1 (2): 129–143. http://www.tandfonline.com/loi/tepm20; Yousif T.I., Bizanti K., Elnazir B. Uses of Personalized Medicine in Current Pediatrics. Intern J Clin Pediatr 2016; 5 (1): 1–5. http://www.theijcp.org/index.php/ijcp/article/view/241; Дедов И.И., Тюльпаков А.Н., Чехонин В.П., Баклаушев В.П., Арчаков А.И., Мошковский С.А. Персонализированная медицина: современное состояние и перспективы. Вестн РАМН 2012; 67 (12): 4–12. DOI:10.15690/vramn.v67i12.474 http://cyberleninka.ru. [Dedov I.I., Tyul’pakov A.I., Chekhonin V.P., Baklaushev V.P., Archakov A.I., Moshkovskii S.A. Personalized medicine: stateof-the-art and prospects. Annals of the Russian academy of medical sciences. 2012; 67 (12): 4–12. DOI:10.15690/vramn.v67i12.474) http://cyberleninka.ru. (in Russ)]; Petitti D.B. Meta-analysis, Decision Analysis and Costeffectiveness Analysis: Methods for Quantitative Synthesis in Medicine, 2nd ed. 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2Academic Journal
Authors: B. A. Kobrinskii
Source: Rossijskij Vestnik Perinatologii i Pediatrii, Vol 62, Iss 5, Pp 16-20 (2017)
Subject Terms: дети, персонализированная медицина, геномика, персональное (домашнее) мобильное здравоохранение, электронное здравоохранение, партисипативная медицина, метаанализ, таргетная терапия, Pediatrics, RJ1-570
Relation: https://www.ped-perinatology.ru/jour/article/view/545; https://doaj.org/toc/1027-4065; https://doaj.org/toc/2500-2228; https://doaj.org/article/4fca330e4de040b98c102d55361abbcc