|
Activity Number:
|
470
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistics in Epidemiology
|
| Abstract - #305001 |
|
Title:
|
Confidence Set Inference (CSI): A Family-Based Association Method for Obtaining Confidence Sets of SNPs Regulating Quantitative Phenotypes
|
|
Author(s):
|
Charalampos Papachristou*+ and Shili Lin
|
|
Companies:
|
University of the Sciences in Philadelphia and The Ohio State University
|
|
Address:
|
600 S. 43rd St., Mailbox 64, Philadelphia, PA, 19104,
|
|
Keywords:
|
Family Association ; Statistical Genetics ; Genetic Epidemiology ; Fine Mapping ; Intermediate Mapping
|
|
Abstract:
|
The ever increasing density of genetic maps has prompted an interest in methods for constructing confidence intervals for the location of trait contributing genes. Such intervals can lead to cost and time efficient follow up studies. We present a confidence set inference approach that can provide a confidence set (CS) of SNPs contributing at least a percentage h to the genetic variation of a quantitative trait. The method is developed in the context of the linear mixed models and accommodates families of arbitrary size and structure. Simulation results confirm that our method produces CSs with the correct coverage. Moreover, with 500 nuclear families, we were able to place the causative variant in a set of at most 3 SNPs, even when the QTL contributed as little as 10% to the total phenotypic genetic variance, while at the same time we held the false positive rate below acceptable levels.
|
