Abstract-Obesity represents a serious risk factor for the development of cardiovascular diseases, including hypertension.Segregation studies suggest that obesity and obesity-associated hypertension may share some genetic determinants. The results of the present candidate gene investigation suggest that in hypertensive pedigrees of French-Canadian origin, one such determinant is the tumor necrosis factor (TNF)-␣ gene locus. Gender-pooled quantitative sib-pair analysis demonstrated a significant effect of the gene locus on 3 global and 7 regional measures of obesity (Pϭ0.05 to 0.0004).Gender-separate quantitative sib-pair analyses showed that the impact of the locus on obesity is most significant in the abdominal region in men and in the thigh region in women. Furthermore, the haplotype relative-risk test demonstrated a significant association between the TNF-␣ gene locus and both obesity (Pϭ0.006) and obesity-associated hypertension (Pϭ0.02). These effects were most significant in individuals with nonmorbid obesity. In conclusion, the results of linkage and association analyses suggest that in hypertensive pedigrees of French-Canadian origin, the TNF-␣ gene locus contributes to the determination of obesity and obesity-associated hypertension. In addition, the data indicate that gender modifies the effect of the locus on the regional distribution of body fat. (Hypertension. 2000;36:14-19.)
The Saguenay-Lac St-Jean population of Quebec is relatively isolated and has genealogical records dating to the 17th-century French founders. In 120 extended families with at least one sib pair affected with early-onset hypertension and/or dyslipidemia, we analyzed the genetic determinants of hypertension and related cardiovascular and metabolic conditions. Variance-components linkage analysis revealed 46 loci after 100,000 permutations. The most prominent clusters of overlapping quantitative-trait loci were on chromosomes 1 and 3, a finding supported by principal-components and bivariate analyses. These genetic determinants were further tested by classifying families by use of LOD score density analysis for each measured phenotype at every 5 cM. Our study showed the founder effect over several generations and classes of living individuals. This quantitative genealogical approach supports the notion of the ancestral causality of traits uniquely present and inherited in distinct family classes. With the founder effect, traits determined within population subsets are measurably and quantitatively transmitted through generational lineage, with a precise component contributing to phenotypic variance. These methods should accelerate the uncovering of causal haplotypes in complex diseases such as hypertension and metabolic syndrome.
We report that mutation of specific residues in the human B2 bradykinin (BK) receptor induces its marked constitutive activation, evaluated through inositol phosphate production in COS-7 cells expressing the wild-type or mutant receptors. We provide evidence for a strikingly high constitutive activation of the B2 receptor induced by alanine substitution of the Asn113 residue, located in the third transmembrane domain. These results are reminiscent of our previous finding that mutation of the homologous Asn111 residue induces constitutive activation of the AT1 angiotensin II receptor. BK overstimulation of the constitutively activated mutant N113A receptor was also observed. Phe replacement of the Trp256 residue, fairly conserved in transmembrane domain VI of G protein-coupled receptors, also induced a less prominent but significant constitutive activation. Interestingly, the peptidic HOE 140 compound and an original nonpeptidic compound LF 16 0335, which both behaved as inverse agonists of the wild-type receptor expressed in COS-7 cells, became potent and efficient agonists of the two constitutively activated mutant N113A and W256F receptors. These parallel changes observed for two chemically unrelated series can serve as a basis for future studies of structure-function relationships and modeling of activation processes, based on a detailed analysis of the network of helix-helix interactions, which stabilize the inactive receptor conformation and undergo rearrangements on transition to activated states.
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