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Abstract:
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In this presentation we introduce and discuss a new concept called Genomic Determination Index (GeDI), to address the question of how much variability in a phenotype can be determined by large sets of diverse genomic factors totalling to a number of millions. In a way similar to heritability, GeDI is a measurement of the proportion of the phenotype variance attributable to the variations in a set of genomic factors under study. No existing large-scale sparse regression method can effectively address this problem. A method to estimate GeDI is presented. This method consists of two parts: a step-wise regression with forward variable selection, and a permutation analysis for bias correction. The entire development will be illustrated and evaluated by a diverse dataset from a study of ex vivo sensitivity of acute lymphoblastic leukaemia cells to glucocorticoid treatment.
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