In Silico Model-Driven Assessment of the Effects of Single Nucleotide Polymorphisms (SNPs) on Human Red Blood Cell Metabolism

(Downloading may take up to 30 seconds. If the slide opens in your browser, select File -> Save As to save it.)

Click on image to view larger version.

Figure 1.
Figure 1.

A schematic depiction of the genotype-phenotype relationship; from sequence variation (a) to changes in biochemical function (b) to network properties (c) to overall physiological function (d). The upper path signifies a normal pathological situation. The DNA sequence codes a nondeficient enzyme that catalyzes the glucose-6-phosphate dehydrogenase or pyruvate kinase reactions normally resulting in homeostatic red blood cell metabolism with the cell assuming its traditional biconcave shape. The lower path represents a pathological situation, a defect in the DNA sequence that leads to a metabolic enzyme with altered catalytic activity. The result is a loss in the cell's ability to respond to oxidative and/or energy loads, hence an inability to maintain osmotic balance and stability that ultimately results in lysis–the phenotypic expression of the genetic defect.

This Article

  1. Genome Res. 12: 1687-1692

Preprint Server