Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores
The meta-analysis has become a widely used tool for many applications in bioinformatics, including genome-wide association studies. A commonly used approach for meta-analysis is the fixed effects model approach, for which there are two popular methods: the inverse variance-weighted average method an...
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| Format: | Article |
| Language: | English |
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BioMed Central
2016-12-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gni-14-173.pdf |
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| author | Cue Hyunkyu Lee Seungho Cook Ji Sung Lee Buhm Han |
| author_facet | Cue Hyunkyu Lee Seungho Cook Ji Sung Lee Buhm Han |
| author_sort | Cue Hyunkyu Lee |
| collection | DOAJ |
| description | The meta-analysis has become a widely used tool for many applications in bioinformatics, including genome-wide association studies. A commonly used approach for meta-analysis is the fixed effects model approach, for which there are two popular methods: the inverse variance-weighted average method and weighted sum of z-scores method. Although previous studies have shown that the two methods perform similarly, their characteristics and their relationship have not been thoroughly investigated. In this paper, we investigate the optimal characteristics of the two methods and show the connection between the two methods. We demonstrate that the each method is optimized for a unique goal, which gives us insight into the optimal weights for the weighted sum of z-scores method. We examine the connection between the two methods both analytically and empirically and show that their resulting statistics become equivalent under certain assumptions. Finally, we apply both methods to the Wellcome Trust Case Control Consortium data and demonstrate that the two methods can give distinct results in certain study designs. |
| format | Article |
| id | doaj-art-f99eb213f72b4b4ba811ea9d460b03bf |
| institution | Kabale University |
| issn | 1598-866X 2234-0742 |
| language | English |
| publishDate | 2016-12-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-f99eb213f72b4b4ba811ea9d460b03bf2025-02-03T02:16:53ZengBioMed CentralGenomics & Informatics1598-866X2234-07422016-12-0114417318010.5808/GI.2016.14.4.173176Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-ScoresCue Hyunkyu Lee0Seungho Cook1Ji Sung Lee2Buhm Han3Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.The meta-analysis has become a widely used tool for many applications in bioinformatics, including genome-wide association studies. A commonly used approach for meta-analysis is the fixed effects model approach, for which there are two popular methods: the inverse variance-weighted average method and weighted sum of z-scores method. Although previous studies have shown that the two methods perform similarly, their characteristics and their relationship have not been thoroughly investigated. In this paper, we investigate the optimal characteristics of the two methods and show the connection between the two methods. We demonstrate that the each method is optimized for a unique goal, which gives us insight into the optimal weights for the weighted sum of z-scores method. We examine the connection between the two methods both analytically and empirically and show that their resulting statistics become equivalent under certain assumptions. Finally, we apply both methods to the Wellcome Trust Case Control Consortium data and demonstrate that the two methods can give distinct results in certain study designs.http://genominfo.org/upload/pdf/gni-14-173.pdffixed effects modelgenome-wide association studyinverse variance-weighted averagemeta-analysisoptimalityweighted sum of z-scores |
| spellingShingle | Cue Hyunkyu Lee Seungho Cook Ji Sung Lee Buhm Han Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores Genomics & Informatics fixed effects model genome-wide association study inverse variance-weighted average meta-analysis optimality weighted sum of z-scores |
| title | Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores |
| title_full | Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores |
| title_fullStr | Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores |
| title_full_unstemmed | Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores |
| title_short | Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores |
| title_sort | comparison of two meta analysis methods inverse variance weighted average and weighted sum of z scores |
| topic | fixed effects model genome-wide association study inverse variance-weighted average meta-analysis optimality weighted sum of z-scores |
| url | http://genominfo.org/upload/pdf/gni-14-173.pdf |
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