Literature DB >> 11140376

A pathway model of lipid metabolism to predict the effect of genetic variability on lipid levels.

H Knoblauch1, H Schuster, F C Luft, J Reich.   

Abstract

Complex phenotypes such as serum lipid concentrations involve numerous genes and require the analysis of the combined effects of these gene products. We modeled the interactions of six key lipid metabolism genes by means of differential equations. We tested the model by inserting the effects of known mutations in the low-density lipoprotein receptor gene and the lipoprotein lipase gene, as well as the effects of a high-fat diet, and observed that the predictions corresponded very well to published measurements. Models such as the one that we present here will become indispensable for analyzing and understanding the effects of variation in multiple genes.

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Year:  2000        PMID: 11140376     DOI: 10.1007/s001090000156

Source DB:  PubMed          Journal:  J Mol Med (Berl)        ISSN: 0946-2716            Impact factor:   4.599


  13 in total

Review 1.  Gene-diet interaction and plasma lipid response to dietary intervention.

Authors:  J M Ordovas
Journal:  Curr Atheroscler Rep       Date:  2001-05       Impact factor: 5.113

2.  Can complex genetic diseases be solved? (and a PS on PXE).

Authors:  F C Luft
Journal:  J Mol Med (Berl)       Date:  2000       Impact factor: 4.599

3.  Complex adaptive system models and the genetic analysis of plasma HDL-cholesterol concentration.

Authors:  Thomas J Rea; Christine M Brown; Charles F Sing
Journal:  Perspect Biol Med       Date:  2006       Impact factor: 1.416

4.  Modifier variant of METTL13 suppresses human GAB1-associated profound deafness.

Authors:  Rizwan Yousaf; Zubair M Ahmed; Arnaud Pj Giese; Robert J Morell; Ayala Lagziel; Alain Dabdoub; Edward R Wilcox; Sheikh Riazuddin; Thomas B Friedman; Saima Riazuddin
Journal:  J Clin Invest       Date:  2018-03-12       Impact factor: 14.808

5.  A physiologically based in silico kinetic model predicting plasma cholesterol concentrations in humans.

Authors:  Niek C A van de Pas; Ruud A Woutersen; Ben van Ommen; Ivonne M C M Rietjens; Albert A de Graaf
Journal:  J Lipid Res       Date:  2012-09-29       Impact factor: 5.922

6.  In silico modeling of the dynamics of low density lipoprotein composition via a single plasma sample.

Authors:  Martin Jansen; Peter Pfaffelhuber; Michael M Hoffmann; Gerhard Puetz; Karl Winkler
Journal:  J Lipid Res       Date:  2016-03-25       Impact factor: 5.922

7.  Genome scan of a nonword repetition phenotype in families with dyslexia: evidence for multiple loci.

Authors:  Zoran Brkanac; Nicola H Chapman; Robert P Igo; Mark M Matsushita; Kathleen Nielsen; Virginia W Berninger; Ellen M Wijsman; Wendy H Raskind
Journal:  Behav Genet       Date:  2008-07-08       Impact factor: 2.805

8.  A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation.

Authors:  Mark T Mc Auley; Darren J Wilkinson; Janette J L Jones; Thomas B L Kirkwood
Journal:  BMC Syst Biol       Date:  2012-10-10

9.  Computational lipidology: predicting lipoprotein density profiles in human blood plasma.

Authors:  Katrin Hübner; Thomas Schwager; Karl Winkler; Jens-Georg Reich; Hermann-Georg Holzhütter
Journal:  PLoS Comput Biol       Date:  2008-05-23       Impact factor: 4.475

10.  An in-silico model of lipoprotein metabolism and kinetics for the evaluation of targets and biomarkers in the reverse cholesterol transport pathway.

Authors:  James Lu; Katrin Hübner; M Nazeem Nanjee; Eliot A Brinton; Norman A Mazer
Journal:  PLoS Comput Biol       Date:  2014-03-13       Impact factor: 4.475

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