JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 253
Type: Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #305832
Title: Statistical Approaches for Off-Target Effects Identification and Corrections in High-throughput RNAi Screenings
Author(s): Rui Zhong*+ and Andy Xiao and Michael White and Yang Xie
Companies: The University of Texas Southwestern Medical Center and The University of Texas Southwestern Medical Center and The University of Texas Southwestern Medical Center and The University of Texas Southwestern Medical Center
Address: 5323 Harry Hines Blvd., Dallas, TX, 75390, United States
Keywords: High-throughput RNAi screening ; off-targets ; LASSO ; KS test

High-throughput RNA-interference (RNAi) screening has been widely used in biological research, like discovery of unknown molecular machinery and identification of novel drug-targetable genes. However, off-target effects make interpretation blurry. Here we develop a novel computational approach to identify off-targeting siRNA oligos based on miRNA-mimic mechanism. Genome-wide siRNA oligos are classified into different seed families based on their seed sequences. We used KS (Kolmogorov-Smirnov) test to determined enrichment for each seed family. We modeled each Z score as a linear combination of seed families' off-target effects and on-target effects, and then estimated the off-target using penalized regression with LASSO (least absolute shrinkage and selection operator) penalty term. Using the modeling approach, we could adjust off-target effects from the original Z scores and our results showed that corrected Z scores improved accuracy in hits selection. In a real data application to identify selective autophagy factors, our method led to hits with higher confirmation rate in the secondary confirmation screening.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.