Abstract #301332

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


Back to main JSM 2003 Program page



JSM 2003 Abstract #301332
Activity Number: 288
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #301332
Title: Identifying Essential Genes in M. tuberculosis by Random Transposon Mutagenesis
Author(s): Karl W. Broman*+ and Natalie J. Blades
Companies: Johns Hopkins University and Johns Hopkins University
Address: Dept. of Biostatistics, Baltimore, MD, 21205-2103,
Keywords: Bayesian statistics ; MCMC ; genetics ; genomics ; bioinformatics
Abstract:

Mycobacterium tuberculosis (Mtb) is the organism which causes tuberculosis. Its circular genome of 4.4 Mbp has been completely sequenced and contains 4250 genes. In random transposon mutagenesis, one creates a library of mutants, each of which contains a single insertion of a transposon. Here we consider the Himar1 transposon, which inserts at random at a dinucleotide TA. The Mtb genome contains 74,403 such TA sites. We consider data on a library of 1425 transposon insertion mutants; for each mutant, the particular TA site at which insertion occurred has been determined. That a mutant with transposon insertion within a particular gene is viable indicates that the gene is not essential for the viability of the organism. Genes that are essential for the viability of the organism will never show up in such a library of insertion mutants. We describe a Bayesian method for estimating the proportion of essential genes in the Mtb genome and for identifying genes likely to be essential, on the basis of such data. The prior distribution for the number of essential genes was taken to be uniform. A Gibbs sampler was used to estimate the posterior distribution.


  • 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 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003