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LD2SNPing: linkage disequilibrium plotter and RFLP enzyme mining for tag SNPs

Hsueh-Wei Chang1,2,3 email, Li-Yeh Chuang4 email, Yan-Jhu Chang6 email, Yu-Huei Cheng6 email, Yu-Chen Hung1 email, Hsiang-Chi Chen5 email and Cheng-Hong Yang6 email

1Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan

2Graduate Institute of Natural Products, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan

3Center of Excellence for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan

4Department of Chemical Engineering, I-Shou University, Kaohsiung, Taiwan

5Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu, Taiwan

6Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

author email corresponding author email

BMC Genetics 2009, 10:26doi:10.1186/1471-2156-10-26

Published: 6 June 2009

Abstract

Background

Linkage disequilibrium (LD) mapping is commonly used to evaluate markers for genome-wide association studies. Most types of LD software focus strictly on LD analysis and visualization, but lack supporting services for genotyping.

Results

We developed a freeware called LD2SNPing, which provides a complete package of mining tools for genotyping and LD analysis environments. The software provides SNP ID- and gene-centric online retrievals for SNP information and tag SNP selection from dbSNP/NCBI and HapMap, respectively. Restriction fragment length polymorphism (RFLP) enzyme information for SNP genotype is available to all SNP IDs and tag SNPs. Single and multiple SNP inputs are possible in order to perform LD analysis by online retrieval from HapMap and NCBI. An LD statistics section provides D, D', r2, δQ, ρ, and the P values of the Hardy-Weinberg Equilibrium for each SNP marker, and Chi-square and likelihood-ratio tests for the pair-wise association of two SNPs in LD calculation. Finally, 2D and 3D plots, as well as plain-text output of the results, can be selected.

Conclusion

LD2SNPing thus provides a novel visualization environment for multiple SNP input, which facilitates SNP association studies. The software, user manual, and tutorial are freely available at http://bio.kuas.edu.tw/LD2NPing webcite.


© 1999-2009 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.