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A CCA-based multi-locus method for association studies on multi-phenotype data

机译:一种基于CCA的多基因座方法,用于多表型数据的关联研究

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@@BackgroundAssociation studies have been widely accepted as a promising strategy for detecting the disease susceptibility loci for common complex diseases [1]. While measuring multiple disease-related phenotypes could usually supply more information than investigating on a single phenotype, traditional methods that study the relationship between every single genotype and every single phenotype each time could counteract the advantage of multi-phenotype information. The multiple testing problem further limits the power improvement.
机译:@@ Backgroundsociation研究已被广泛接受作为检测常见复杂疾病疾病易感位点的有希望的有希望的策略[1]。在测量多种疾病相关表型的同时,通常可以提供比在单一表型上调查的更多信息,这些方法每次都可以抵消多种表型信息的优势,研究每个单一基因型和每种单一表型之间的关系。多个测试问题进一步限制了功率改进。

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