BACKGROUND: Blood pressure (BP), an important risk factor for coronary heart disease, is a complex trait with multiple genetic etiologies. While some loci affecting BP variation are known (eg, angiotensinogen), there are likely to be novel signals that can be detected with a genome scan approach. METHODS AND RESULTS: A genome-wide scan was performed in 125 random and 81 obese families participating in the Québec Family Study. A multipoint variance-components linkage analysis of 420 markers (353 microsatellites and 67 restriction fragment length polymorphisms) revealed several signals (P:<0.0023) for systolic BP on 1p (D1S551, ATP1A1), 2p (D2S1790, D2S2972), 5p (D5S1986), 7q (D7S530), 8q (CRH), and 19p (D19S247). Suggestive evidence (0.0023<P:<0.01) was found on 3q, 10p, 12p, 14q, and 22q. The results were encouraging for HSD3B1 (P:<0.03), AGT (P:<0.03), ACE (P:<0.02), and adipsin (P:<0.005) but null with regard to other candidates (eg, renin, and glucocorticoid and adrenergic receptors). CONCLUSIONS: Multiple linkage regions support the notion that risk for hypertension is due to multiple (ie, oligogenic) susceptibility loci. Comparisons across the complete, random, and obese samples suggest that some regions are specific to BP and others may involve obesity (eg, pleiotropy, epistasis, or gene-environment interaction). Some of these areas harbor known candidates. Others involve novel regions, some of which replicate previous reports and provide a focus for future studies to identify novel genes that influence interindividual variation in BP.
BACKGROUND: Blood pressure (BP), an important risk factor for coronary heart disease, is a complex trait with multiple genetic etiologies. While some loci affecting BP variation are known (eg, angiotensinogen), there are likely to be novel signals that can be detected with a genome scan approach. METHODS AND RESULTS: A genome-wide scan was performed in 125 random and 81 obese families participating in the Québec Family Study. A multipoint variance-components linkage analysis of 420 markers (353 microsatellites and 67 restriction fragment length polymorphisms) revealed several signals (P:<0.0023) for systolic BP on 1p (D1S551, ATP1A1), 2p (D2S1790, D2S2972), 5p (D5S1986), 7q (D7S530), 8q (CRH), and 19p (D19S247). Suggestive evidence (0.0023<P:<0.01) was found on 3q, 10p, 12p, 14q, and 22q. The results were encouraging for HSD3B1 (P:<0.03), AGT (P:<0.03), ACE (P:<0.02), and adipsin (P:<0.005) but null with regard to other candidates (eg, renin, and glucocorticoid and adrenergic receptors). CONCLUSIONS: Multiple linkage regions support the notion that risk for hypertension is due to multiple (ie, oligogenic) susceptibility loci. Comparisons across the complete, random, and obese samples suggest that some regions are specific to BP and others may involve obesity (eg, pleiotropy, epistasis, or gene-environment interaction). Some of these areas harbor known candidates. Others involve novel regions, some of which replicate previous reports and provide a focus for future studies to identify novel genes that influence interindividual variation in BP.
Authors: Mary F Feitosa; Ingrid B Borecki; Stephen S Rich; Donna K Arnett; Phyliss Sholinsky; Richard H Myers; Mark Leppert; Michael A Province Journal: Am J Hum Genet Date: 2001-11-16 Impact factor: 11.025
Authors: C L Welch; S Bretschger; N Latib; M Bezouevski; Y Guo; N Pleskac; C P Liang; C Barlow; H Dansky; J L Breslow; A R Tall Journal: Proc Natl Acad Sci U S A Date: 2001-07-03 Impact factor: 11.205
Authors: Tanika N Kelly; James E Hixson; Dabeeru C Rao; Hao Mei; Treva K Rice; Cashell E Jaquish; Lawrence C Shimmin; Karen Schwander; Chung-Shuian Chen; Depei Liu; Jichun Chen; Concetta Bormans; Pramila Shukla; Naveed Farhana; Colin Stuart; Paul K Whelton; Jiang He; Dongfeng Gu Journal: Circ Cardiovasc Genet Date: 2010-09-22
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
Authors: France Gagnon; Gail P Jarvik; Michael D Badzioch; Arno G Motulsky; John D Brunzell; Ellen M Wijsman Journal: Hum Genet Date: 2005-06-16 Impact factor: 4.132