The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
418
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
|
Sponsor:
|
IMS
|
Abstract - #301670 |
Title:
|
A New Method to Compare the Haplotype Distributions Between Populations
|
Author(s):
|
Liping Tong*+
|
Companies:
|
Loyola University Chicago
|
Address:
|
1032 W Sheridan Rd, Chicago, IL, 60660,
|
Keywords:
|
haplotype distribution ;
average mismatch score ;
quadratic form of multinomial random variables ;
association study ;
fixation index
|
Abstract:
|
Accurate characterization of haplotype structure and diversity is a key challenge in statistical genetics. We propose a new statistic to assess and compare the haplotype variations among populations which is particularly suited to this emerging challenge. We first describe the properties and calculations of this method. Subsequently, using simulation studies, we show that the proposed method is more powerful than the chi-square test statistic when comparing haplotype distributions under the following two circumstances (1) when variations of haplotype distances are not balanced (2) when haplotypes are tainted by accumulated mutations or genotyping errors. We also performed simulations to show that the proposed method can be applied to case-control association study and can be much more efficient than the single locus association test by greatly decreasing number of multiple tests. Finally, we applied our method to the Human Genome Diversity Project (HGDP) and HapMap3 data for SNPs on chromosome 2 in the region surrounding the LCT gene. Our results showed that 726 pairs of populations (out of 780) can be distinguished (p-value < 0.05) using the 127 SNPs surrounding the LCT gene.
|
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 2011 program
|
2011 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.