2004
DOI: 10.1161/01.hyp.0000111585.76299.f7
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Positional Identification of Hypertension Susceptibility Genes on Chromosome 2

Abstract: Abstract-Chromosome 2 has been consistently identified as a genomic region with genetic linkage evidence suggesting that one or more loci contributes to blood pressure and hypertension status. As with all complex disease traits, following-up linkage evidence to identify the underlying susceptibility gene(s) is an arduous yet biologically and clinically important task. Using combined positional candidate gene methods, the Family Blood Pressure Program (FBPP) has concentrated efforts in narrowing a large region … Show more

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Cited by 83 publications
(87 citation statements)
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References 32 publications
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“…2 The previous findings have been extended by showing that the association is robust longitudinally after 10 years of blood pressure follow-up and that stressed blood pressures also show associations with SLC4A5. Most subjects in the FBPP had hypertension, whereas the Utah pedigree members were generally normotensive.…”
Section: Discussionmentioning
confidence: 82%
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“…2 The previous findings have been extended by showing that the association is robust longitudinally after 10 years of blood pressure follow-up and that stressed blood pressures also show associations with SLC4A5. Most subjects in the FBPP had hypertension, whereas the Utah pedigree members were generally normotensive.…”
Section: Discussionmentioning
confidence: 82%
“…[5][6][7] Genotypes were obtained for the 4 SNPs (Celera database: hcv1137521, hcv1137534, hcv1137538, and hcv8941031; dbSNP database: rs828853, rs10177833, rs6731545, and rs1006502) found to be most consistently related to blood pressure in the study from the GENOA network of the FBPP and which had been selected to be typed in 2 of the other FBPP networks. 2 A Roche LightTyper instrument, using melting temperature technology, was used to obtain the genotypes. After genotyping, genotypes were tested for incompatibilities by the PEDCHECK program, 8 and nuclear families identified with incompatibilities had their genotypes set to missing (37 genotypes zeroed out, 0.9%).…”
Section: Methodsmentioning
confidence: 99%
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“…21,22 In this study, we used a subset of 126 SNPs measured on 419 unrelated subjects as a real data example. Overall, 0.92% of the SNP data were missing.…”
Section: Datamentioning
confidence: 99%