scholarly journals QTL associated with blood pressure, heart rate, and heart weight in CBA/CaJ and BALB/cJ mice

2002 ◽  
Vol 10 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Fumihiro Sugiyama ◽  
Gary A. Churchill ◽  
Renhua Li ◽  
Laura J. M. Libby ◽  
Tonya Carver ◽  
...  

To better understand the genetic basis of essential hypertension, we conducted a quantitative trait locus (QTL) analysis of a population of 207 (BALB/cJ × CBA/CaJ) F2 male mice to identify genomic regions that regulate blood pressure, heart rate, and heart weight. We identified two loci, Bpq6 (blood pressure quantitative locus 6) on chromosome 15 (Chr 15; peak, 16 cM; 95% confidence interval, 0–25 cM) and Bpq7 on Chr 7 (peak, 42 cM; 95% confidence interval, 35–50 cM) that were significantly associated with blood pressure. We also identified two loci, Hrq1 (heart rate quantitative locus 1) and Hrq2, on D2Mit304 (peak, 72 cM; 95% confidence interval 60–80 cM) and D15Mit184 (peak, 25 cM; 95% confidence interval 20–35 cM), respectively, that were significantly associated with heart rate. A significant gene-gene interaction for heart rate was found between Hrq1 and D1Mit10 (peak, 57 cM; 95% confidence interval, 45–75 cM); the latter QTL was named Hrq3. We identified a significant locus for heart weight, Hwq1 (heart weight quantitative locus 1), at D14Mit67 (peak, 38 cM; 95% confidence interval, 20–43 cM). Identification of the genes for these QTL should lead to a better understanding of the causes of essential hypertension.

2004 ◽  
Vol 17 (2) ◽  
pp. 215-220 ◽  
Author(s):  
Keith DiPetrillo ◽  
Shirng-Wern Tsaih ◽  
Susan Sheehan ◽  
Conrado Johns ◽  
Peter Kelmenson ◽  
...  

Hypertension is a complex phenotype induced by multiple environmental and genetic factors. Quantitative trait locus (QTL) analysis is a powerful method for identifying genomic regions underlying complex diseases. We conducted a QTL analysis of blood pressure in mice using 217 F2 progeny (males and females) from a cross between the normotensive C3H/HeJ and hypertensive SWR/J inbred strains. Our analysis identified significant QTL controlling blood pressure on chromosome 1 [Chr 1; Bpq8; peak 78 cM; 95% confidence interval 64–106 cM; logarithm of the odds ratio (LOD) 3.5; peak marker D1Mit105] and on Chr 16 ( Bpq9; peak 56 cM; 95% confidence interval 46–58 cM; LOD 3.6; peak marker D16Mit158). Bpq8 was previously identified in a cross between C57BL/6J and A/J mice, and we narrowed this QTL from 42 to 18 cM (95% confidence interval 68–86 cM) by combining the data from these crosses. By examining Bpq8 for regions where ancestral alleles were conserved among the high allele strains (C57BL/6J, SWR/J) and different from the low allele strains (A/J, C3H/HeJ), we identified a 2.3-cM region where the high allele strains shared a common haplotype. Bpq8 is concordant with known QTL in both rat and human, suggesting that the causal gene underlying Bpq8 may be conserved as a disease gene in human hypertension.


1973 ◽  
Vol 1 (2) ◽  
pp. 462-464
Author(s):  
Ann Dawson ◽  
Ian Smith ◽  
Brian F Johnson

In seven hypertensives receiving beta-blocker drugs, an additional reduction in standing blood pressure occurred between 60 and 90 minutes after 40 mg phentolamine by mouth. The occurrence of the postural hypotensive effect was delayed in relation to the reported time of peak plasma concentration of unchanged phentolamine. Supine blood pressure and heart rate were unaffected. Phentolamine has no clinically useful anti-hypertensive effect in conjunction with beta-blockers in patients with essential hypertension.


1989 ◽  
Vol 35 (7) ◽  
pp. 1519-1523 ◽  
Author(s):  
M Wencker ◽  
S Hauptlorenz ◽  
W Moll ◽  
B Puschendorf

Abstract The significance of increased atrial natriuretic factor (ANF) in relation to blood pressure and age is still controversial. We investigated the influence of blood pressure, age, and some other variables on ANF and its putative second messenger, cGMP. Samples for ANF and cGMP detection were taken from 124 ostensibly healthy individuals who were donating blood. Samples were also collected from 27 volunteers before and after blood donation, to study the influence of bleeding. During blood donation, ANF increased from 78.9 to 87.4 ng/L (P = 0.0035), whereas cGMP remained unchanged. ANF concentrations in 124 healthy individuals, corrected for the influence of bleeding, were 61.5 (SD 26.1) ng/L, with a 95% confidence interval of 10.0 to 112.1 ng/L. Mean cGMP concentrations in plasma were 2.9 (SD 1.45) nmol/L, with a 95% confidence interval of 0.4 to 5.75 nmol/L. Multivariance analysis revealed no significant influence of blood pressure, age, heart rate, or sex on concentrations of either ANF or cGMP in plasma.


1981 ◽  
Vol 61 (s7) ◽  
pp. 373s-375s ◽  
Author(s):  
P. D. Arkwright ◽  
L. J. Beilin ◽  
I. Rouse ◽  
B. K. Armstrong ◽  
R. Vandongen

1. The association between alcohol consumption and blood pressure was studied in 491 Government employees. The men, aged 21–45 years, volunteered to complete a health questionnaire and submitted to standardized measurements of blood pressure, heart rate and body size. 2. Average weekly alcohol consumption correlated with systolic pressure (r = 0.18, P < 0.001) but not with diastolic pressure. Systolic pressure increased progressively with increasing alcohol consumption with no obvious threshold effect. The effect of alcohol was independent of age, obesity (Quetelet's index) or cigarette smoking. 3. Results indicate that alcohol ranks close to obesity as a preventable cause of essential hypertension in the community.


1979 ◽  
Vol 1 ◽  
pp. S1-7 ◽  
Author(s):  
Julia Mulvihill-Wilson ◽  
Robert M. Graham ◽  
William Pettinger ◽  
Carolyn Muckleroy ◽  
Shirley Anderson ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yohei Kamikawa ◽  
Hiroyuki Hayashi

Abstract Background Although the shock index is known to predict mortality and other severe outcomes, deriving it requires complex calculations. Subtracting the systolic blood pressure from the heart rate may produce a simple shock index that would be a clinically useful substitute for the shock index. In this study, we investigated whether the simple shock index was equivalent to the shock index. Methods This observational cohort study was conducted at 2 tertiary care hospitals. Patients who were transported by ambulance were recruited for this study and were excluded if they were aged < 15 years, had experienced prehospital cardiopulmonary arrest, or had undergone inter-hospital transfer. Pearson’s product-moment correlation coefficient and regression equation were calculated, and two one-sided tests were performed to examine their equivalency. Results Among 5429 eligible patients, the correlation coefficient between the shock index and simple shock index was extremely high (0.917, 95% confidence interval 0.912 to 0.921, P < .001). The regression equation was estimated as sSI = 258.55 log SI. The two one-sided tests revealed a very strong equivalency between the shock index and the index estimated by the above equation using the simple shock index (mean difference was 0.004, 90% confidence interval 0.003 to 0.005). Conclusion The simple shock index strongly correlated with the shock index.


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