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Activity Number: 126
Type: Contributed
Date/Time: Monday, August 1, 2016 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #319986
Title: Genomic Determination Index
Author(s): Cheng Cheng* and Robert J. Autry and Wenjian Yang and Steven Paugh and William E. Evans
Companies: St. Jude Children's Research Hospital and St. Jude Children's Research Hospital and St. Jude Children's Research Hospital and St. Jude Children's Research Hospital and St. Jude Children's Research Hospital
Keywords: Genomics ; High dimentional data ; Sparse regression ; Biomarkers ; Genotype-phenotype association ; Stepwise regression
Abstract:

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.


Authors who are presenting talks have a * after their name.

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