Literature DB >> 10904005

Genetic determinants of hypertension: identification of candidate phenotypes.

T A Kotchen1, J M Kotchen, C E Grim, V George, M L Kaldunski, A W Cowley, P Hamet, T H Chelius.   

Abstract

Our long-term objective is to identify genes whose expression results in hypertension and in phenotypic changes that may contribute to hypertension. The purpose of the present study was to describe evidence for the heritability of hypertension-related phenotypes in hypertensive, hyperlipidemic black sib pairs. Outpatient anthropomorphic measurements were obtained in >200 affected sib pairs. In addition, 68 of these sib pairs were studied under controlled, standardized conditions at an inpatient clinical research center while off both antihypertensive and lipid-lowering medications. Heritability was estimated on the basis of sib-sib correlations and with an association model. Higher heritability estimates for blood pressure were observed with multiple measurements averaged over 24 hours than with measurements at a single time point, and heritability estimates for nighttime blood pressures were higher than those for daytime blood pressures. Heritability estimates for several of the phenotypes were augmented by obtaining measurements in response to a standardized stimulus, including (1) blood pressure responses to the assumption of upright posture, standardized psychological stress, and norepinephrine infusion; (2) plasma renin, aldosterone, epinephrine, and cAMP and cGMP responses to the assumption of upright posture; (3) para-aminohippurate and inulin clearances in response to norepinephrine infusion; and (4) plasma arginine vasopressin in response to NaCl infusion. High heritability estimates were also observed for various measures of body size and body fat, left ventricular size, cardiac index, stroke volume, total peripheral resistance, and serum concentrations of LDL and HDL cholesterol and leptin. These heritability estimates identify the hypertension-related phenotypes that may facilitate the identification of specific genetic determinants of hypertension in blacks with hyperlipidemia.

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Year:  2000        PMID: 10904005     DOI: 10.1161/01.hyp.36.1.7

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  20 in total

1.  Quantitative founder-effect analysis of French Canadian families identifies specific loci contributing to metabolic phenotypes of hypertension.

Authors:  P Hamet; E Merlo; O Seda; U Broeckel; J Tremblay; M Kaldunski; D Gaudet; G Bouchard; B Deslauriers; F Gagnon; G Antoniol; Z Pausová; M Labuda; M Jomphe; F Gossard; G Tremblay; R Kirova; P Tonellato; S N Orlov; J Pintos; J Platko; T J Hudson; J D Rioux; T A Kotchen; A W Cowley
Journal:  Am J Hum Genet       Date:  2005-03-30       Impact factor: 11.025

2.  Identifying common genetic variants in blood pressure due to polygenic pleiotropy with associated phenotypes.

Authors:  Ole A Andreassen; Linda K McEvoy; Wesley K Thompson; Yunpeng Wang; Sjur Reppe; Andrew J Schork; Verena Zuber; Elizabeth Barrett-Connor; Kaare Gautvik; Pål Aukrust; Tom H Karlsen; Srdjan Djurovic; Rahul S Desikan; Anders M Dale
Journal:  Hypertension       Date:  2014-01-06       Impact factor: 10.190

3.  Dynamic genetic linkage of intermediate blood pressure phenotypes during postural adaptations in a founder population.

Authors:  I A Arenas; J Tremblay; B Deslauriers; J Sandoval; O Šeda; D Gaudet; E Merlo; T Kotchen; A W Cowley; P Hamet
Journal:  Physiol Genomics       Date:  2012-12-26       Impact factor: 3.107

4.  CYP17A1 Enzyme Activity Is Linked to Ambulatory Blood Pressure in a Family-Based Population Study.

Authors:  Daniel Ackermann; Menno Pruijm; Belen Ponte; Idris Guessous; Georg Ehret; Geneviève Escher; Bernhard Dick; Heba Al-Alwan; Philippe Vuistiner; Fred Paccaud; Michel Burnier; Antoinette Péchère-Bertschi; Pierre-Yves Martin; Bruno Vogt; Markus Mohaupt; Murielle Bochud
Journal:  Am J Hypertens       Date:  2015-08-20       Impact factor: 2.689

5.  A validation of estimated total peripheral resistance using twin data.

Authors:  LaBarron K Hill; John J Sollers Iii; Christopher L Edwards; Julian F Thayer; Keith E Whitfield
Journal:  Biomed Sci Instrum       Date:  2014

Review 6.  Aldosterone and arterial hypertension.

Authors:  Andreas Tomaschitz; Stefan Pilz; Eberhard Ritz; Barbara Obermayer-Pietsch; Thomas R Pieber
Journal:  Nat Rev Endocrinol       Date:  2009-12-22       Impact factor: 43.330

7.  Genetic influence on blood pressure measured in the office, under laboratory stress and during real life.

Authors:  Xiaoling Wang; Xiuhua Ding; Shaoyong Su; Gregory Harshfield; Frank Treiber; Harold Snieder
Journal:  Hypertens Res       Date:  2010-11-11       Impact factor: 3.872

8.  Genome-wide linkage scans for loci affecting total cholesterol, HDL-C, and triglycerides: the Family Blood Pressure Program.

Authors:  Suzette J Bielinski; Weihong Tang; James S Pankow; Michael B Miller; Thomas H Mosley; Eric Boerwinkle; Richard A Olshen; J David Curb; Cashell E Jaquish; D C Rao; Alan Weder; Donna K Arnett
Journal:  Hum Genet       Date:  2006-07-26       Impact factor: 4.132

9.  Genome-wide association studies of hypertension: light at the end of the tunnel.

Authors:  Claire E Hastie; Sandosh Padmanabhan; Anna F Dominiczak
Journal:  Int J Hypertens       Date:  2010-04-29       Impact factor: 2.420

10.  Genetic influences on daytime and night-time blood pressure: similarities and differences.

Authors:  Xiaoling Wang; Xiuhua Ding; Shaoyong Su; Weili Yan; Gregory Harshfield; Frank Treiber; Harold Snieder
Journal:  J Hypertens       Date:  2009-12       Impact factor: 4.844

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