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Detection of cis-acting regulatory SNPs using allelic expression data.

机译:使用等位基因表达数据检测顺式作用调节性SNP。

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Allelic expression (AE) imbalance between the two alleles of a gene can be used to detect cis-acting regulatory SNPs (rSNPs) in individuals heterozygous for a transcribed SNP (tSNP). In this paper, we propose three tests for AE analysis focusing on phase-unknown data and any degree of linkage disequilibrium (LD) between the rSNP and tSNP: a test based on the minimum P-value of a one-sided F test and a two-sided t test (proposed previously for phase-unknown data), a test the combines the F and t tests, and a mixture-model-based test. We compare these three tests to the F and t tests and an existing regression-based test for phase-known data. We show that the ranking of the tests based on power depends most strongly on the magnitude of the LD between the rSNP and tSNP. For phase-unknown data, we find that under a range of scenarios, our proposed tests have higher power than the F and t tests when LD between the rSNP and tSNP is moderate ( approximately 0.2 approximately 0.8). We further demonstrate that the presence of a second ungenotyped rSNP almost never invalidates the proposed tests nor substantially changes their power rankings. For detection of cis-acting regulatory SNPs using phase-unknown AE data, we recommend the F test when the rSNP and tSNP are in or near linkage equilibrium (<0.2); the t test when the two SNPs are in strong LD (<0.7); and the mixture-model-based test for intermediate LD levels (0.20.7).
机译:基因的两个等位基因之间的等位基因表达(AE)不平衡可用于检测转录SNP(tSNP)杂合的个体中的顺式作用调节性SNP(rSNPs)。在本文中,我们针对相位未知数据以及rSNP和tSNP之间的任何程度的连锁不平衡(LD)提出了三种用于AE分析的测试:基于单面F检验的最小P值和双向t检验(先前针对相位未知数据建议),结合了F和t检验的测试以及基于混合模型的测试。我们将这三个检验与F和t检验以及现有的基于回归的检验进行相比较,以进行相位已知数据的比较。我们表明,基于功率的测试排名在很大程度上取决于rSNP和tSNP之间的LD大小。对于相位未知的数据,我们发现在一定范围内,当rSNP和tSNP之间的LD适中(约0.2 约0.8)时,我们提出的测试具有比F和t测试更高的功效。我们进一步证明,第二种非基因型rSNP的存在几乎不会使拟议的测试无效,也不会显着改变其功效排名。为了使用未知的AE数据检测顺式调节性SNP,我们建议当rSNP和tSNP处于或接近连锁平衡(<0.2)时进行F检验。当两个SNP处于强LD(<0.7)时的t检验;以及基于混合模型的中度LD水平测试(0.2 0.7)。

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