Genetic bases of human comorbidity

Genetic bases of human comorbidity In this review, the development of ideas focused on the phenomenon of disease combination (comorbidity) in humans is discussed. The genetic bases of the three forms of the phenomenon, comorbidity (syntropias), inverse comorbidity (dystropias), and comorbidity of Mendelian and multifactorial diseases, are analyzed. The results of personal genome-wide association studies of the genetic risk profile that may predispose an individual to cardiovascular disease continuum (CDC), including coronary heart disease, type 2 diabetes, hypertension, and hypercholesterolemia (CDC syntropy), as well as the results of bioinformatic analysis of common genes and the networks of molecular interactions for two (bronchial asthma and pulmonary tuberculosis) diseases rarely found in one patient (dystropy), are presented. The importance of the diseasome and network medicine concepts in the study of comorbidity is emphasized. Promising areas in genomic studies of comorbidities for disease classification and the development of personalized medicine are designated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

Genetic bases of human comorbidity

Loading next page...
 
/lp/springer_journal/genetic-bases-of-human-comorbidity-U7Spq8OQ67
Publisher
Pleiades Publishing
Copyright
Copyright © 2015 by Pleiades Publishing, Inc.
Subject
Biomedicine; Human Genetics; Animal Genetics and Genomics; Microbial Genetics and Genomics
ISSN
1022-7954
eISSN
1608-3369
D.O.I.
10.1134/S1022795415040092
Publisher site
See Article on Publisher Site

Abstract

In this review, the development of ideas focused on the phenomenon of disease combination (comorbidity) in humans is discussed. The genetic bases of the three forms of the phenomenon, comorbidity (syntropias), inverse comorbidity (dystropias), and comorbidity of Mendelian and multifactorial diseases, are analyzed. The results of personal genome-wide association studies of the genetic risk profile that may predispose an individual to cardiovascular disease continuum (CDC), including coronary heart disease, type 2 diabetes, hypertension, and hypercholesterolemia (CDC syntropy), as well as the results of bioinformatic analysis of common genes and the networks of molecular interactions for two (bronchial asthma and pulmonary tuberculosis) diseases rarely found in one patient (dystropy), are presented. The importance of the diseasome and network medicine concepts in the study of comorbidity is emphasized. Promising areas in genomic studies of comorbidities for disease classification and the development of personalized medicine are designated.

Journal

Russian Journal of GeneticsSpringer Journals

Published: Apr 21, 2015

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off