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Multiphase analysis by linkage quantitative transmission disequilibrium and measured genotype: systolic blood pressure in complex Mexican American pedigrees

机译:通过连锁定量传递不平衡和测得的基因型进行多相分析:复杂的墨西哥裔美国人谱系的收缩压

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摘要

We apply a multiphase strategy for pedigree-based genetic analysis of systolic blood pressure data collected in a longitudinal study of large Mexican American pedigrees. In the first phase, we conduct variance-components linkage analysis to identify regions that may harbor quantitative trait loci. In the second phase, we carry out pedigree-based association analysis in a selected region with common and low-frequency variants from genome-wide association studies and whole genome sequencing data. Using sequencing data, we compare approaches to pedigree analysis in a 10 megabase candidate region on chromosome 3 harboring a gene previously identified by a consortium for blood pressure genome-wide association studies. We observe that, as expected, the measured genotype analysis tends to provide larger signals than the quantitative transmission disequilibrium test. We also observe that while linkage signals are contributed by common variants, strong associations are found mainly at rare variants. Multiphase analysis can improve computational efficiency and reduce the multiple testing burden.
机译:我们应用多阶段策略,对在大型墨西哥裔美国人血统书的纵向研究中收集的收缩压数据进行基于血统书的遗传分析。在第一阶段,我们进行方差-成分连锁分析,以识别可能包含数量性状基因座的区域。在第二阶段,我们在选定区域中进行基于谱系的关联分析,该分析具有来自全基因组关联研究和全基因组测序数据的常见和低频变体。使用测序数据,我们比较了3号染色体上10兆碱基候选区域中的血统分析方法,该区域具有先前由财团确定的用于血压全基因组关联研究的基因。我们观察到,正如预期的那样,与定量传输不平衡测试相比,测得的基因型分析倾向于提供更大的信号。我们还观察到,尽管连锁信号是由常见变体提供的,但主要在稀有变体上发现了强关联。多相分析可以提高计算效率并减少多重测试负担。

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