Gene Mapping in Experimental Hypertension

  • T. W. Kurtz
  • L. Simonet
  • V. Křen
  • M. Pravenec
Conference paper

Summary

The spontaneously hypertensive rat (SHR) is the most widely studied animal model of hypertension and it has been proposed that the identification of genes contributing to increased blood pressure in the SHR might shed light on the pathogenesis of essential hypertension in humans. In F2, backcross, and recombinant inbred populations derived from the SHR and inbred normotensive strains, one can search for chromosome regions that contain genes regulating blood pressure by studying the relationship between blood pressure and the pattern of inheritance of:
  1. 1.

    polymorphic markers for specific genes believed to be related to the pathogenesis of hypertension (so-called “candidate” gene approach), and/or

     
  2. 2.

    a mapped set of polymorphic markers dispersed throughout the rodent genome (so-called “reverse” genetics approach).

     

Using the “candidate” gene approach, we have found evidence suggesting that, in the rat, sequence variation within or near the renin gene, the kallikrein gene family, and the RT1 gene complex may have the capacity to affect blood pressure. With respect to the “reverse” genetics approach, we are attempting to develop a rough genetic map that can be used to study the pathogenesis of hypertension in SHR. To date, we have identified over 70 polymorphic markers that distinguish between the SHR and a normotensive Brown-Norway (BN) strain. Analysis of a large set of recombinant inbred strains derived from the SHR and BN progenitors indicates that most of these markers are not tightly linked. These observations suggest that, in the SHR, it should be feasible to employ both the “candidate” gene and “reverse” genetics approaches to search for chromosome regions that contain genes regulating blood pressure.

Keywords

Recombinant Inbred Recombinant Inbred Strain Affect Blood Pressure Experimental Hypertension Renin Gene 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • T. W. Kurtz
  • L. Simonet
  • V. Křen
  • M. Pravenec

There are no affiliations available

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