Network-based analysis of the sphingolipid metabolism in hypertension

Frontiers in Genetics
Mogens FengerJørgen Jeppesen

Abstract

Common diseases like essential hypertension or diabetes mellitus are complex as they are polygenic in nature, such that each genetic variation only has a small influence on the disease. Genes operates in integrated networks providing the blue-print for all biological processes and conditional of the complex genotype determines the state and dynamics of any trait, which may be modified to various extent by non-genetic factors. Thus, diseases are heterogenous ensembles of conditions with a common endpoint. Numerous studies have been performed to define genes of importance for a trait or disease, but only a few genes with small effect have been identified. The major reasons for this modest progress is the unresolved heterogeneity of the regulation of blood pressure and the shortcomings of the prevailing monogenic approach to capture genetic effects in a polygenic condition. Here, a two-step procedure is presented in which physiological heterogeneity is disentangled and genetic effects are analyzed by variance decomposition of genetic interactions and by an information theoretical approach including 162 single nucleotide polymorphisms (SNP) in 84 genes in the sphingolipid metabolism and related networks in blood pressure regulation...Continue Reading

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Citations

Nov 11, 2016·BMC Endocrine Disorders·Mogens FengerSten Madsbad
Aug 8, 2019·American Journal of Physiology. Renal Physiology·Suttira Intapad
Aug 22, 2021·Prostaglandins, Leukotrienes, and Essential Fatty Acids·Mohsen ValizadehMajid Ghayour-Mobarhan

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Methods Mentioned

BETA
genotyping

Software Mentioned

Numpy
QtiPlot
Mplus
SPSS
Scipy
Ubunto
LibreCalc
Ubunto Linux
Powerlaw

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