遗传关联分析中的一个稳健检验OA北大核心CSTPCD
A robust test for genetic association analysis
为检验某种疾病与单个双等位基因单核苷酸多态性(SNP)的关联性,构造了趋势检验绝对值指数函数和(SEA)的检验统计量.模拟结果显示,SEA能很好地控制犯第1类错误的概率,且在所有的遗传模型中都有较大的功效.将该检验方法应用到与复杂疾病相关的17个SNP中,结果表明,它们与相应疾病都具有很强的关联性.
To test association of a biallelic single nucleotide polymorphism(SNP)with corresponding disease,a new test statistic based on exponential function summation of absolute values of trend tests(SEA)is constructed.Simulation indicates that SEA could control Type I error well and has good performance in all the genetic models.The proposed test statistic is applied to 17 SNPs associated with complex diseases,these SNP are found strongly associated with corresponding diseases.
蔡定教;童行伟
北京师范大学统计学院,北京||河南财经政法大学数学与信息科学学院,河南郑州北京师范大学统计学院,北京
数学
全基因组关联研究Cochran-Armitage趋势检验稳健检验外显率次基因频率
genome-wide association studyCochran-Armitage trend testrobust testpenetranceminor allele frequency
《北京师范大学学报（自然科学版）》 2024 (003)
305-309 / 5
国家自然科学基金资助项目(12171374);教育部春晖计划合作科研资助项目(202200681);河南省高等学校重点科研资助项目(21A910001)
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