Mapping Baroreceptor Function to Genome: A Mathematical Modeling Approach

Author:

Kendziorski C M1,Cowley A W2,Greene A S2,Salgado H C3,Jacob H J2,Tonellato P J24

Affiliation:

1. Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, Wisconsin 53706

2. Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53233

3. Department of Physiology, University of Sao Paulo, Sao Paulo 14049-900, Brazil

4. Informatics Research Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53233

Abstract

Abstract 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.

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference42 articles.

1. A new look at statistical model identification;Akaike;IEEE Trans. Automat. Control,1974

2. An open-loop analysis of the aortic arch barostatic reflex;Allison;Am. J. Physiol.,1969

3. Carotid sinus baroreceptor reflex control of the circulation in medial sclerotic and renal hypertensive rabbits and its modification by the aortic baroreceptors;Angell-James;Circ. Res.,1980

4. Rapid resetting of baroreflexes in hypertensive dogs;Brunner;Am. J. Physiol.,1992

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3