Author(s)

Lishi Wang, Jiaqian Zhu, Yue Huang, Qing Xiong, Cong-Yi Wang, Arnold Postlethwaite, Yongjun Wang, Weikuan Gu

Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta, USA.
Department of Biostatistics and Bioinformatics, Duke University, Durham, USA.
Department of Medicine, University of Tennessee Health Science Center (UTHSC), Memphis, USA.
Department of Neurology, Beijing Tiantan Hospital, Capital University of Medical Sciences, Beijing, China.
Departments of Orthopaedic Surgery-Campbell Clinic and Pathology, University of Tennessee Health Science Center (UTHSC), Memphis, USA.
Rust College, Holly Spring, USA.

This is an in silico analysis of quantitative trait loci (QTLs), genes, polymorphisms, and chromosomal regions regulating hypertension in the rat genome. Utilizing PGmapper, a program that matches phenoltypes to genes, we identified 266 essential hypertension-associated genes (HyperA), and 83 of these genes contain known hypertension-associated polymorphisms (HyperAP). The majority of HyperAP have been reported in recent years. Surprisingly, only a few of these HyperAP genes have been investigated for their candidacy as the QTL for hypertension. The frequency of candidate genes within peak regions of the QTL is higher than the rest of the QTL region. We also found that QTL located in both gene-rich regions and gene-rich chromosomes contained the most candidate genes. However, the number of candidate genes within a peak region is not associated with the number of total genes in a QTL region. This data could not only facilitate a more rapid and comprehensive identification for the causal genes underlying hypertension in rats, but also provides new insights into genomic structure in regulation of hypertension.

Chromosome; Hypertension; QTL; Gene; Polymorphism; Rat

Wang, L. , Zhu, J. , Huang, Y. , Xiong, Q. , Wang, C. , Postlethwaite, A. , Wang, Y. and Gu, W. (2012) Analysis of candidate genes of QTL and chromosomal regions for essential hypertension in the rat model. Open Journal of Genetics, 2, 136-154. doi: 10.4236/ojgen.2012.23019.