Wang Xiaoling, Xu Xiaojing, Su Shaoyong, Snieder Harold
Georgia Prevention Center, Medical College of Georgia, Georgia Regents University, HS-1640, Augusta, GA, 30912, USA,
Curr Hypertens Rep. 2015 Jan;17(1):509. doi: 10.1007/s11906-014-0509-x.
There is growing concern about elevated blood pressure (BP) in children. The evidence for familial aggregation of childhood BP is substantial. Twin studies have shown that a large part of the familial aggregation of childhood BP is due to genes. The first part of this review provides the latest progress in gene finding for childhood BP, focusing on the combined effects of multiple loci identified from the genome-wide association studies on adult BP. We further review the evidence on the contribution of the genetic components of other family risk factors to the familial aggregation of childhood BP including obesity, birth weight, sleep quality, sodium intake, parental smoking, and socioeconomic status. At the end, we emphasize the promise of using genomic-relatedness-matrix restricted maximum likelihood (GREML) analysis, a method that uses genome-wide data from unrelated individuals, in answering a number of unsolved questions in the familial aggregation of childhood BP.
人们越来越关注儿童血压升高的问题。儿童血压的家族聚集性证据确凿。双胞胎研究表明,儿童血压的家族聚集性很大程度上归因于基因。本综述的第一部分介绍了儿童血压基因研究的最新进展,重点关注全基因组关联研究中确定的多个基因座对成人血压的综合影响。我们还回顾了其他家庭风险因素的遗传成分对儿童血压家族聚集性的贡献的证据,这些因素包括肥胖、出生体重、睡眠质量、钠摄入量、父母吸烟和社会经济地位。最后,我们强调了使用基因组相关性矩阵限制最大似然法(GREML)分析的前景,该方法利用无关个体的全基因组数据来回答儿童血压家族聚集性中一些未解决的问题。