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Licensed Unlicensed Requires Authentication Published by De Gruyter February 28, 2015

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

  • Anatoly Karpenko EMAIL logo , Valery Kharlamov and Igor Sobenin

Abstract

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.


Corresponding author: Anatoly Karpenko, Computer-Aided Design, Bauman Moscow State Technical University, 2-ya Baumanskaya ul. 5, Moscow 105005, Russian Federation, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This study was supported in part of morphological studies by the Russian Scientific Foundation (grant no. 14-14-01038).

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

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Received: 2014-12-21
Accepted: 2015-2-2
Published Online: 2015-2-28
Published in Print: 2015-3-31

©2015 by De Gruyter

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