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:
|
455
|
Type:
|
Topic Contributed
|
Date/Time:
|
Wednesday, August 1, 2012 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Biometrics Section
|
Abstract - #306413 |
Title:
|
Synergistic Gene-Gene Interactions in Common Complex Diseases
|
Author(s):
|
Itsik Pe'er*+
|
Companies:
|
Columbia University
|
Address:
|
500 w 120th st, New York, NY, 10027, United States
|
Keywords:
|
interaction ;
genetics ;
association ;
gene x gene ;
GWAS ;
sequencing
|
Abstract:
|
A synergistic interaction between two or more genes is when the co-occurrence of specific alleles of these genes bears a greater joint effect on phenotype than a simple addition of their individual effects would suggest. These interactions are unique by virtue of having natural biological interpretations. Synergistic interactions have been widely reported across multiple traits in eukaryotic, plant and animal models. Their prevalence in common traits in humans, however, is still an open question, as interaction effects are almost undetectable to single marker association tests like GWAS. Additionally, the straightforward solution of exhaustively searching for these interactions in genome-scale datasets faces issues of computational and multiple test correction due to the sheer size of the search-space.
Our work considers a standard and interpretable test for gene x gene interaction - the Gametic Phase Disequilibrium (GPD) test. We focus on how to overcome the computational burden of applying the GPD-test to genome-scale datasets. We will present a novel and powerful new statistical and algorithmic framework - Probably Approximately Complete (PAC) searching - which can scan pairs/
|
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.