4.0 Article

VEGAS2: Software for More Flexible Gene-Based Testing

期刊

TWIN RESEARCH AND HUMAN GENETICS
卷 18, 期 1, 页码 86-91

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/thg.2014.79

关键词

GWAS; 1, 000 genomes; X chromosome; VEGAS2; VEGAS

资金

  1. ANZ Trustees PhD scholarship
  2. Australian National Health and Research Council
  3. Australian Research Council
  4. trans-NIH Genes, Environment, and Health Initiative (GEI)
  5. NIH [R01CA100264, P30CA016672, R01CA133996]
  6. UTMDACC NIH SPORE in Melanoma [2P50CA093459]
  7. Marit Peterson Fund for Melanoma Research
  8. [HHSN268200782096C]

向作者/读者索取更多资源

Gene-based tests such as versatile gene-based association study (VEGAS) are commonly used following per-single nucleotide polymorphism (SNP) GWAS (genome-wide association studies) analysis. Two limitations of VEGAS were that the HapMap2 reference set was used to model the correlation between SNPs and only autosomal genes were considered. HapMap2 has now been superseded by the 1,000 Genomes reference set, and whereas early GWASs frequently ignored the X chromosome, it is now commonly included. Here we have developed VEGAS2, an extension that uses 1,000 Genomes data to model SNP correlations across the autosomes and chromosome X. VEGAS2 allows greater flexibility when defining gene boundaries. VEGAS2 offers both a user-friendly, web-based front end and a command line Linux version. The online version of VEGAS2 can be accessed through https://vegas2.qimrberghofer.edu.au/. The command line version can be downloaded from https://vegas2.qimrberghofer.edu.au/zVEGAS2offline.tgz. The command line version is developed in Perl, R and shell scripting languages; source code is available for further development.

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