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基于社区人群的血清肌酐、肾小球滤过率和肌酐清除率的全基因组连锁分析:弗雷明汉心脏研究

Genomewide linkage analysis to serum creatinine, GFR, and creatinine clearance in a community-based population: the Framingham Heart Study.

作者信息

Fox Caroline S, Yang Qiong, Cupples L Adrienne, Guo Chao-Yu, Larson Martin G, Leip Eric P, Wilson Peter W F, Levy Daniel

机构信息

NHLBI, NIH, Framingham Heart Study, Framingham, MA 01702, USA.

出版信息

J Am Soc Nephrol. 2004 Sep;15(9):2457-61. doi: 10.1097/01.ASN.0000135972.13396.6F.

Abstract

Kidney disease is a risk factor for the development of cardiovascular disease, all-cause mortality, and ESRD. It is not known to what extent genetic factors play a role in the development of kidney disease in the general population. Multipoint variance components linkage analysis was performed using Genehunter on 330 families from the Framingham Heart Study offspring cohort, using a 10-cM genomewide scan for serum creatinine, GFR, and creatinine clearance (CRCL) measured from 1998 to 2001. GFR was estimated using the simplified Modification of Diet in Renal Disease Study equation, and CRCL was estimated using the Cockcroft-Gault equation. Covariates in the adjustment included age, gender, body mass index, diabetes, systolic BP, hypertension treatment, tobacco use, and HDL cholesterol. Overall, 1224 subjects (52% women), mean age 59, were available for analysis. Mean creatinine was 0.87 mg/dl, mean GFR was 87 ml/min per 1.73 m(2), and mean creatinine clearance was 100 ml/min. The multivariable-adjusted heritability estimates for creatinine, GFR, and CRCL were 0.29, 0.33, and 0.46, respectively. The peak log of the odds ratio (LOD) scores for serum creatinine, GFR, and CRCL were 2.28 at 176 cM on chromosome 4, 2.19 at 78 cM on chromosome 4, and 1.91 at 103 cM on chromosome 3, respectively. In a community-based sample, measures of serum creatinine, GFR, and CRCL are heritable, suggesting an underlying genetic component. These results also provide suggestive evidence for linkage to measures of kidney function. Further research is necessary to identify the genes involved in the development of kidney disease and to understand their roles in this complex process.

摘要

肾脏疾病是心血管疾病、全因死亡率和终末期肾病发生的一个风险因素。目前尚不清楚遗传因素在普通人群肾脏疾病发生中所起作用的程度。利用Genehunter软件,对弗雷明汉心脏研究后代队列中的330个家庭进行多点方差成分连锁分析,采用10厘摩(cM)全基因组扫描检测1998年至2001年期间的血清肌酐、肾小球滤过率(GFR)和肌酐清除率(CRCL)。GFR采用简化的肾脏疾病饮食改良研究方程进行估算,CRCL采用Cockcroft - Gault方程进行估算。调整中的协变量包括年龄、性别、体重指数、糖尿病、收缩压、高血压治疗情况、吸烟情况和高密度脂蛋白胆固醇。总体而言,有1224名受试者(52%为女性)可供分析,平均年龄59岁。平均肌酐为0.87毫克/分升,平均GFR为每1.73平方米87毫升/分钟,平均肌酐清除率为100毫升/分钟。肌酐、GFR和CRCL的多变量调整后遗传度估计值分别为0.29、0.33和0.46。血清肌酐、GFR和CRCL的优势比对数(LOD)得分峰值分别在4号染色体176厘摩处为2.28,在4号染色体78厘摩处为2.19,在3号染色体103厘摩处为1.91。在一个基于社区的样本中,血清肌酐、GFR和CRCL指标具有遗传性,提示存在潜在的遗传成分。这些结果也为与肾功能指标的连锁提供了提示性证据。有必要进一步开展研究以确定参与肾脏疾病发生的基因,并了解它们在这一复杂过程中的作用。

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