Genome-wide association analysis of cardiovascular-related quantitative traits in the Framingham Heart Study.

Genome-wide association analysis of cardiovascular-related quantitative traits in the Framingham Heart Study.
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DOI:
10.1186/1753-6561-3-s7-s117
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发表时间:
2009-12-15
期刊:
影响因子:
--
通讯作者:
Beyene J
Beyene J
中科院分区:
其他
文献类型:
--
作者:
Roslin NM;Hamid JS;Paterson AD;Beyene J

文献摘要

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多变量线性生长曲线用于模拟高密度脂蛋白(HDL)、低密度脂蛋白(LDL)、甘油三酯(TG)和收缩压(SBP),这些数据是在弗雷明汉心脏研究的1659名独立个体的四次检查中测量的。两种表型模型的斜率和截距分别与Affymetrix基因芯片500 k组中的348,053个常染色体单核苷酸多态性进行相关性检测。三个区域与LDL截距、TG斜率和收缩压截距相关(p < 1.44 × 10-7)。我们观察到的结果与先前报道的染色体1p13上的rs599839与LDL之间的关联一致。我们注意到与LDL截距的相关性显著,但与斜率无关。染色体17q25上的标记与TG斜率相关,染色体7p11上的单核苷酸多态性与收缩压截距相关。在收集了纵向数据后,生长曲线模型可以比传统的关联分析更深入地了解snp与性状之间的关系。如果没有在足够长的时间内跟踪受试者,那么检测随时间变化的关联的能力可能会受到限制。
Multivariate linear growth curves were used to model high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), and systolic blood pressure (SBP) measured during four exams from 1659 independent individuals from the Framingham Heart Study. The slopes and intercepts from each of two phenotype models were tested for association with 348,053 autosomal single-nucleotide polymorphisms from the Affymetrix Gene Chip 500 k set. Three regions were associated with LDL intercept, TG slope, and SBP intercept (p < 1.44 × 10-7). We observed results consistent with previously reported associations between rs599839, on chromosome 1p13, and LDL. We note that the association is significant with LDL intercept but not slope. Markers on chromosome 17q25 were associated with TG slope, and a single-nucleotide polymorphism on chromosome 7p11 was associated with SBP intercept. Growth curve models can be used to gain more insight on the relationships between SNPs and traits than traditional association analysis when longitudinal data has been collected. The power to detect association with changes over time may be limited if the subjects are not followed over a long enough time period.