Mapping baroreceptor function to genome: a mathematical modeling approach
To gain information about the genetic basis of a complex disease such as hypertension, blood pressure averages are often obtained and used as phenotypes in genetic mapping studies. In contrast, direct measurements of physiological regulatory mechanisms are not often obtained, due in large part to th...
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| Veröffentlicht in: | Genetics (Austin) 2002-04, Vol.160 (4), p.1687-1695 |
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| container_title | Genetics (Austin) |
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| creator | Kendziorski, C M Cowley, Jr, A W Greene, A S Salgado, H C Jacob, H J Tonellato, P J |
| description | To gain information about the genetic basis of a complex disease such as hypertension, blood pressure averages are often obtained and used as phenotypes in genetic mapping studies. In contrast, direct measurements of physiological regulatory mechanisms are not often obtained, due in large part to the time and expense required. As a result, little information about the genetic basis of physiological controlling mechanisms is available. Such information is important for disease diagnosis and treatment. In this article, we use a mathematical model of blood pressure to derive phenotypes related to the baroreceptor reflex, a short-term controller of blood pressure. The phenotypes are then used in a quantitative trait loci (QTL) mapping study to identify a potential genetic basis of this controller. |
| doi_str_mv | 10.1093/genetics/160.4.1687 |
| format | Article |
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| ispartof | Genetics (Austin), 2002-04, Vol.160 (4), p.1687-1695 |
| issn | 0016-6731 1943-2631 1943-2631 |
| language | eng |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Animals Baroreflex - physiology Blood Pressure - physiology Chromosome Mapping Genetics Genome Humans Hypertension Mathematical models Models, Genetic Pressoreceptors - physiology Quantitative Trait, Heritable |
| title | Mapping baroreceptor function to genome: a mathematical modeling approach |
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