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应用系统发生学对人类 ANGPTL4 序列数据的基因型/表型关联和选择分析。

Phylogenetics applied to genotype/phenotype association and selection analyses with sequence data from angptl4 in humans.

机构信息

Human Genetics Center, University of Texas School of Public Health, Houston, 77030, USA.

出版信息

Int J Mol Sci. 2010 Jan 25;11(1):370-85. doi: 10.3390/ijms11010370.

Abstract

Genotype/phenotype association analyses (Treescan) with plasma lipid levels and functional site prediction methods (TreeSAAP and PolyPhen) were performed using sequence data for ANGPTL4 from 3,551 patients in the Dallas Heart Study. Biological assays of rare variants in phenotypic tails and results from a Treescan analysis were used as "known" variants to assess the site prediction abilities of PolyPhen and TreeSAAP. The E40K variant in European Americans and the R278Q variant in African Americans were significantly associated with multiple lipid phenotypes. Combining TreeSAAP and PolyPhen performed well to predict "known" functional variants while reducing noise from false positives.

摘要

对达拉斯心脏研究中的 3551 名患者的 ANGPTL4 序列数据进行了基因型/表型关联分析(TreeScan),并采用了血浆脂质水平的功能位点预测方法(TreeSAAP 和 PolyPhen)。利用表型尾部罕见变异的生物检测和 TreeScan 分析的结果作为“已知”变异来评估 PolyPhen 和 TreeSAAP 的位点预测能力。欧洲裔美国人的 E40K 变异和非洲裔美国人的 R278Q 变异与多种脂质表型显著相关。结合 TreeSAAP 和 PolyPhen 可以很好地预测“已知”的功能变异,同时减少假阳性的噪声。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f6e/2821009/a49594afb382/ijms-11-00370f1.jpg

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