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| Beta-Meta: a meta-analysis application considering heterogeneity among genome-wide association studies |
| Gyungbu Kim, Yoonsuk Lee, Jeong Ho Park, Dongmin Kim, Wonseok Lee |
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Genomics Inform. 2022;20(4):e49 Published online December 30, 2022 DOI: https://doi.org/10.5808/gi.22046 |
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Beta-Meta: a meta-analysis application considering heterogeneity among genome-wide association studies Genomics & Informatics. 2022;20(4):e49  P105 CORONARY ARTERY DISEASE GENOME-WIDE REPLICATION AND META-ANALYSIS (CARDIOGRAM) – DESIGN OF A PROSPECTIVE META-ANALYSIS OF 14 GENOME-WIDE ASSOCIATION STUDIES Atherosclerosis Supplements. 2010;11(2):38 Meta-Analysis of Genome-Wide Association Studies: A Practical Guide Integrating Omics Data. 2015;9-38 Data Integration, Imputation, and Meta-analysis for Genome-Wide Association Studies Genome-Wide Association Studies. 2022;173-183 Meta-analysis of genome-wide association studies for litter size in sheep . 2021; Imputation aware meta-analysis of genome-wide association studies Genetic Epidemiology. 2010;34(6):537-542 Meta-analysis of genome-wide association studies for litter size in sheep Theriogenology. 2022;180:103-112 Genetic determinants of common epilepsies: a meta-analysis of genome-wide association studies The Lancet Neurology. 2014;13(9):893-903 Heterogeneity in Meta-Analyses of Genome-Wide Association Investigations PLoS ONE. 2007;2(9):e841 Optimal methods for meta-analysis of genome-wide association studies Genetic Epidemiology. 2011;35(7):581-591 |
