AORTA software system for evaluating individual predisposition to atherosclerosis on the basis of genetic and phenotypic markers

Autor:	Valery Kharlamov, Anatoly Karpenko, Igor Sobenin
Rok vydání:	2015
Předmět:	Pathology medicine.medical_specialty Aorta General Computer Science Computer science Medicine (miscellaneous) Health Informatics Biochemistry Genetics and Molecular Biology (miscellaneous) Phenotype Aortic wall medicine.artery cardiovascular system medicine Software system
Zdroj:	Bio-Algorithms and Med-Systems. 11:25-32
ISSN:	1896-530X 1895-9091
DOI:	10.1515/bams-2014-0023
Popis:	This article deals with the AORTA software system providing support for research activities to find molecular basis for further assessment of individual predisposition to atherosclerosis. These studies are aimed at finding a relationship between somatic mutations of the mitochondrial genome in the aortic wall cells and the extent of atherosclerotic lesions of the aorta. A morphologist selects these areas on an aortic tissue sample and describes them, so that within each area, deviation of the quantitative indicator of atherosclerosis severity (phenotypic marker) from the area average should be sufficiently small. Next, the frequency and severity indicators of somatic mutations of the mitochondrial genome (genetic markers) are measured for each area and then entered into the AORTA system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2daa886611e98130f2d30d5f006bfb7d https://doi.org/10.1515/bams-2014-0023 Zobrazit plný text záznamu Plný text ve formátu PDF