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收缩压和舒张压的全基因组连锁分析:魁北克家庭研究。

Genome-wide linkage analysis of systolic and diastolic blood pressure: the Québec Family Study.

作者信息

Rice T, Rankinen T, Province M A, Chagnon Y C, Pérusse L, Borecki I B, Bouchard C, Rao D C

机构信息

Division of Biostatistics, Washington University School of Medicine, St Louis, MO 63110, USA.

出版信息

Circulation. 2000 Oct 17;102(16):1956-63. doi: 10.1161/01.cir.102.16.1956.

Abstract

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.

摘要

背景

血压是冠心病的一个重要危险因素,是一种具有多种遗传病因的复杂性状。虽然已知一些影响血压变异的基因座(如血管紧张素原),但通过全基因组扫描方法可能会检测到新的信号。

方法与结果

对参与魁北克家庭研究的125个随机家庭和81个肥胖家庭进行了全基因组扫描。对420个标记(353个微卫星和67个限制性片段长度多态性)进行多点方差成分连锁分析,发现1p(D1S551,ATP1A1)、2p(D2S1790,D2S2972)、5p(D5S1986)、7q(D7S530)、8q(CRH)和19p(D19S247)上有几个收缩压信号(P<0.0023)。在3q、10p、12p、14q和22q上发现了提示性证据(0.0023<P<0.01)。结果对HSD3B1(P<0.03)、AGT(P<0.03)、ACE(P<0.02)和脂肪酶(P<0.005)来说是令人鼓舞的,但对其他候选基因(如肾素、糖皮质激素和肾上腺素能受体)则为阴性。

结论

多个连锁区域支持高血压风险是由多个(即寡基因)易感基因座引起的这一观点。对完整样本、随机样本和肥胖样本的比较表明,一些区域是血压特有的,而其他区域可能涉及肥胖(如基因多效性、上位性或基因-环境相互作用)。这些区域中的一些包含已知的候选基因。其他区域涉及新的区域,其中一些重复了以前的报告,并为未来研究确定影响个体间血压变异的新基因提供了重点。

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