MetaGenyo: a web tool for meta-analysis of genetic association studies
Abstract Background Genetic association studies (GAS) aims to evaluate the association between genetic variants and phenotypes. In the last few years, the number of this type of study has increased exponentially, but the results are not always reproducible due to experimental designs, low sample siz...
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| Format: | Article |
| Language: | English |
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BMC
2017-12-01
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| Series: | BMC Bioinformatics |
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| Online Access: | http://link.springer.com/article/10.1186/s12859-017-1990-4 |
| _version_ | 1818007905667907584 |
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| author | Jordi Martorell-Marugan Daniel Toro-Dominguez Marta E. Alarcon-Riquelme Pedro Carmona-Saez |
| author_facet | Jordi Martorell-Marugan Daniel Toro-Dominguez Marta E. Alarcon-Riquelme Pedro Carmona-Saez |
| author_sort | Jordi Martorell-Marugan |
| collection | DOAJ |
| description | Abstract Background Genetic association studies (GAS) aims to evaluate the association between genetic variants and phenotypes. In the last few years, the number of this type of study has increased exponentially, but the results are not always reproducible due to experimental designs, low sample sizes and other methodological errors. In this field, meta-analysis techniques are becoming very popular tools to combine results across studies to increase statistical power and to resolve discrepancies in genetic association studies. A meta-analysis summarizes research findings, increases statistical power and enables the identification of genuine associations between genotypes and phenotypes. Meta-analysis techniques are increasingly used in GAS, but it is also increasing the amount of published meta-analysis containing different errors. Although there are several software packages that implement meta-analysis, none of them are specifically designed for genetic association studies and in most cases their use requires advanced programming or scripting expertise. Results We have developed MetaGenyo, a web tool for meta-analysis in GAS. MetaGenyo implements a complete and comprehensive workflow that can be executed in an easy-to-use environment without programming knowledge. MetaGenyo has been developed to guide users through the main steps of a GAS meta-analysis, covering Hardy-Weinberg test, statistical association for different genetic models, analysis of heterogeneity, testing for publication bias, subgroup analysis and robustness testing of the results. Conclusions MetaGenyo is a useful tool to conduct comprehensive genetic association meta-analysis. The application is freely available at http://bioinfo.genyo.es/metagenyo/ . |
| first_indexed | 2024-04-14T05:22:52Z |
| format | Article |
| id | doaj.art-cec4d14eea7b423cb788df0714577848 |
| institution | Directory Open Access Journal |
| issn | 1471-2105 |
| language | English |
| last_indexed | 2024-04-14T05:22:52Z |
| publishDate | 2017-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Bioinformatics |
| spelling | doaj.art-cec4d14eea7b423cb788df07145778482022-12-22T02:10:08ZengBMCBMC Bioinformatics1471-21052017-12-011811610.1186/s12859-017-1990-4MetaGenyo: a web tool for meta-analysis of genetic association studiesJordi Martorell-Marugan0Daniel Toro-Dominguez1Marta E. Alarcon-Riquelme2Pedro Carmona-Saez3Bioinformatics Unit, Centre for Genomics and Oncological Research (GENYO)Bioinformatics Unit, Centre for Genomics and Oncological Research (GENYO)Medical Genomics, Centre for Genomics and Oncological Research (GENYO)Bioinformatics Unit, Centre for Genomics and Oncological Research (GENYO)Abstract Background Genetic association studies (GAS) aims to evaluate the association between genetic variants and phenotypes. In the last few years, the number of this type of study has increased exponentially, but the results are not always reproducible due to experimental designs, low sample sizes and other methodological errors. In this field, meta-analysis techniques are becoming very popular tools to combine results across studies to increase statistical power and to resolve discrepancies in genetic association studies. A meta-analysis summarizes research findings, increases statistical power and enables the identification of genuine associations between genotypes and phenotypes. Meta-analysis techniques are increasingly used in GAS, but it is also increasing the amount of published meta-analysis containing different errors. Although there are several software packages that implement meta-analysis, none of them are specifically designed for genetic association studies and in most cases their use requires advanced programming or scripting expertise. Results We have developed MetaGenyo, a web tool for meta-analysis in GAS. MetaGenyo implements a complete and comprehensive workflow that can be executed in an easy-to-use environment without programming knowledge. MetaGenyo has been developed to guide users through the main steps of a GAS meta-analysis, covering Hardy-Weinberg test, statistical association for different genetic models, analysis of heterogeneity, testing for publication bias, subgroup analysis and robustness testing of the results. Conclusions MetaGenyo is a useful tool to conduct comprehensive genetic association meta-analysis. The application is freely available at http://bioinfo.genyo.es/metagenyo/ .http://link.springer.com/article/10.1186/s12859-017-1990-4Genetic association studyMeta-analysisWeb toolShiny |
| spellingShingle | Jordi Martorell-Marugan Daniel Toro-Dominguez Marta E. Alarcon-Riquelme Pedro Carmona-Saez MetaGenyo: a web tool for meta-analysis of genetic association studies BMC Bioinformatics Genetic association study Meta-analysis Web tool Shiny |
| title | MetaGenyo: a web tool for meta-analysis of genetic association studies |
| title_full | MetaGenyo: a web tool for meta-analysis of genetic association studies |
| title_fullStr | MetaGenyo: a web tool for meta-analysis of genetic association studies |
| title_full_unstemmed | MetaGenyo: a web tool for meta-analysis of genetic association studies |
| title_short | MetaGenyo: a web tool for meta-analysis of genetic association studies |
| title_sort | metagenyo a web tool for meta analysis of genetic association studies |
| topic | Genetic association study Meta-analysis Web tool Shiny |
| url | http://link.springer.com/article/10.1186/s12859-017-1990-4 |
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