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High-Resolution Mapping for Essential Hypertension Using Microsatellite Markers

Yatsu, K., Mizuki, N., Hirawa, N., Oka, A., Itoh, N., Yamane, T., Ogawa, M., Shiwa, T., Tabara, Y., Ohno, S., Soma, M., Hata, A., Nakao, K., Ueshima, H., Ogihara, T., Tomoike, H., Miki, T., Kimura, A., Mano, S., Kulski, J.K., Umemura, S. and Inoko, H. (2007) High-Resolution Mapping for Essential Hypertension Using Microsatellite Markers. Hypertension, 49 (3). pp. 446-452.

Link to Published Version: http://dx.doi.org/10.1161/01.HYP.0000257256.77680....
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Abstract

During the past decade, considerable efforts and resources have been devoted to elucidating the multiple genetic and environmental determinants responsible for hypertension and its associated cardiovascular diseases. The success of positional cloning, fine mapping, and linkage analysis based on whole-genome screening, however, has been limited in identifying multiple genetic determinants affecting diseases, suggesting that new research strategies for genome-wide typing may be helpful. Disease association (case-control) studies using microsatellite markers, distributed every 150 kb across the human genome, may have some advantages over linkage, candidate, and single nucleotide polymorphism typing methods in terms of statistical power and linkage disequilibrium for finding genomic regions harboring candidate disease genes, although it is not proven. We have carried out genome-wide mapping using 18 977 microsatellite markers in a Japanese population composed of 385 hypertensive patients and 385 normotensive control subjects. Pooled sample analysis was conducted in a 3-stage genomic screen of 3 independent case-control populations, and 54 markers were extracted from the original 18 977 microsatellite markers. As a final step, each single positive marker was confirmed by individual typing, and only 19 markers passed this test. We identified 19 allelic loci that were significantly different between the cases of essential hypertension and the controls.

Publication Type: Journal Article
Murdoch Affiliation: School of Information Technology
Publisher: Lippincott Williams and Wilkins
Copyright: © 2007 American Heart Association, Inc.
URI: http://researchrepository.murdoch.edu.au/id/eprint/10217
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