JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 19
Type: Topic Contributed
Date/Time: Sunday, August 3, 2014 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #312836 View Presentation
Title: HLA-Restricted CTL Responses and Antiretroviral Treatment Work Together Forcing HIV-1 Evolution
Author(s): Xinjian Zhang*+
Companies: CDC/OID/NCHHSTP/DHAP/USDMB
Keywords: Cytotoxic T-lymphocytes (CTL), ; Immune Escape ; HIV Drug Resistance ; Associations, ; Multiple Compression, ; False Discovery Rate (FDR).
Abstract:

Mutations in epitope regions of HLA -I restricted cytotoxic T lymphocyte (CTL) response can allow human immunodeficiency virus type 1 (HIV-1) to escape host immune responses and confer ant-HIV drug resistance, which indicate correlations between CTL immune escape mutations and HIV drug- resistance mutations. HIV drug-resistance mutations in sequences (N=45161) from the HIV positive selection mutation database were classified using the IAS-USA mutation list; and CTL epitope mutations were identified by published HIV CTL epitopes from HIV database at Los Alamos National Laboratory. Fisher's exact test, Benjamini and Hochberg approaches were applied to test the associations between CTL immune escape and HIV-drug resistance mutations. Thirty association mutation pairs in Protease region (PR) region and 52 association mutation pairs in reverse transcriptase (RT) region were identified. Several statistical methods were combined together to illustrate that CTL immune escape mutations are related to HIV drug-resistance mutations, which imply that selection pressures from HLA-restricted CTL response and anti-HIV drugs may work together to shape HIV evolution.


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

Back to the full JSM 2014 program




2014 JSM Online Program Home

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

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

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

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.