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HapMap filter 1.0: A tool to preprocess the HapMap genotypic data for association studies

 

Authors

Wei Zhang1, Shiwei Duan1 and M. Eileen Dolan1, 2, 3, *

 

Affiliation

1Section of Hematology/Oncology, Department of Medicine; 2Committee onClinical Pharmacology and Pharmacogenomics; 3Cancer Research Center, The University of Chicago, IL 60637, USA

 

Email

edolan@medicine.bsd.uchicago.edu

 

Phone

773 702 4441

 

Fax

773 702 0963; * Corresponding author

 

Article Type

Software

 

Date

received April 29, 2008; accepted May 06, 2008; published May 13, 2008

Abstract

The International HapMap Project provides a resource of genotypic data on single nucleotide polymorphisms (SNPs), which can be used in various association studies to identify the genetic determinants for phenotypic variations. Prior to the association studies, the HapMap dataset should be preprocessed in order to reduce the computation time and control the multiple testing problem. The less informative SNPs including those with very low genotyping rate and SNPs with rare minor allele frequencies to some extent in one or more population are removed. Some research designs only use SNPs in a subset of HapMap cell lines. Although the HapMap website and other association software packages have provided some basic tools for optimizing these datasets, a fast and user-friendly program to generate the output for filtered genotypic data would be beneficial for association studies. Here, we present a flexible, straight-forward bioinformatics program that can be useful in preparing the HapMap genotypic data for association studies by specifying cell lines and two common filtering criteria: minor allele frequencies and genotyping rate. The software was developed for Microsoft Windows and written in C++.

 

Availability

The Windows executable and source code in Microsoft Visual C++ are available at Google Code (http://hapmap-filter-v1.googlecode.com/) or upon request. Their distribution is subject to GNU General Public License v3.

 

Keywords

HapMap; genotype; single nucleotide polymorphism; minor allele frequency; genotyping rate

 

Citation

W. Zhang et al., Bioinformation 2(8): 322-324 (2008)

 

Edited by

P. Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics Publishing Group

 

Copyright

Publisher

 

Copyright Transfer Agreement

The authors of published articles in Bioinformation automatically transfer the copyright to the publisher upon formal acceptance. However, the authors reserve right to use the information contained in the article for non commercial purposes.

 

License

This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.