Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores |
Lee, Cue Hyunkyu
(Asan Institute for Life Sciences, Asan Medical Center)
Cook, Seungho (Asan Institute for Life Sciences, Asan Medical Center) Lee, Ji Sung (Asan Institute for Life Sciences, Asan Medical Center) Han, Buhm (Asan Institute for Life Sciences, Asan Medical Center) |
1 | Evangelou E, Ioannidis JP. Meta-analysis methods for genome-wide association studies and beyond. Nat Rev Genet 2013;14:379-389. DOI |
2 | de Bakker PI, Ferreira MA, Jia X, Neale BM, Raychaudhuri S, Voight BF. Practical aspects of imputation-driven meta-analysis of genome-wide association studies. Hum Mol Genet 2008; 17:R122-R128. DOI |
3 | Zeggini E, Ioannidis JP. Meta-analysis in genome-wide association studies. Pharmacogenomics 2009;10:191-201. DOI |
4 | Cantor RM, Lange K, Sinsheimer JS. Prioritizing GWAS results: a review of statistical methods and recommendations for their application. Am J Hum Genet 2010;86:6-22. DOI |
5 | Borenstein M, Hedges LV, Higgins JP, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods 2010;1:97-111. DOI |
6 | Zeggini E, Weedon MN, Lindgren CM, Frayling TM, Elliott KS, Lango H, et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 2007;316:1336-1341. DOI |
7 | Traylor M, Makela KM, Kilarski LL, Holliday EG, Devan WJ, Nalls MA, et al. A novel MMP12 locus is associated with large artery atherosclerotic stroke using a genome-wide age-at-onset informed approach. PLoS Genet 2014;10:e1004469. DOI |
8 | Lee MN, Ye C, Villani AC, Raj T, Li W, Eisenhaure TM, et al. Common genetic variants modulate pathogen-sensing responses in human dendritic cells. Science 2014;343:1246980. DOI |
9 | Zaitlen N, Eskin E. Imputation aware meta-analysis of genome-wide association studies. Genet Epidemiol 2010;34:537-542. DOI |
10 | Raj T, Rothamel K, Mostafavi S, Ye C, Lee MN, Replogle JM, et al. Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes. Science 2014;344: 519-523. DOI |
11 | Zeggini E, Scott LJ, Saxena R, Voight BF, Marchini JL, Hu T, et al. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet 2008;40:638-645. DOI |
12 | Furlotte NA, Kang EY, Van Nas A, Farber CR, Lusis AJ, Eskin E. Increasing association mapping power and resolution in mouse genetic studies through the use of meta-analysis for structured populations. Genetics 2012;191:959-967. DOI |
13 | Fleiss JL. The statistical basis of meta-analysis. Stat Methods Med Res 1993;2:121-145. DOI |
14 | Nalls MA, Pankratz N, Lill CM, Do CB, Hernandez DG, Saad M, et al. Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease. Nat Genet 2014;46:989-993. DOI |
15 | Goodkind M, Eickhoff SB, Oathes DJ, Jiang Y, Chang A, Jones-Hagata LB, et al. Identification of a common neurobiological substrate for mental illness. JAMA Psychiatry 2015;72:305-315. DOI |
16 | Sul JH, Han B, Ye C, Choi T, Eskin E. Effectively identifying eQTLs from multiple tissues by combining mixed model and meta-analytic approaches. PLoS Genet 2013;9:e1003491. DOI |
17 | Fisher RA. Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd, 1925. |
18 | Han B, Eskin E. Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. Am J Hum Genet 2011;88:586-598. DOI |
19 | Liptak T. On the combination of independent events. Magyar Tud Akad Mat Kutato Int Kozl 1958;3:171-197. |
20 | Zaykin DV. Optimally weighted Z-test is a powerful method for combining probabilities in meta-analysis. J Evol Biol 2011;24:1836-1841. DOI |
21 | Zhou B, Shi J, Whittemore AS. Optimal methods for metaanalysis of genome-wide association studies. Genet Epidemiol 2011;35:581-591. DOI |
22 | Cochran WG. The combination of estimates from different experiments. Biometrics 1954;10:101-129. DOI |
23 | Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 1959;22:719-748. |
24 | Won S, Morris N, Lu Q, Elston RC. Choosing an optimal method to combine P-values. Stat Med 2009;28:1537-1553. DOI |
25 | Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 2007;447:661-678. DOI |
26 | Birch MW. The detection of partial association, I: the 2 2 case. J R Stat Soc Series B 1964;26:313-324. |
27 | Pereira TV, Patsopoulos NA, Salanti G, Ioannidis JP. Discovery properties of genome-wide association signals from cumulatively combined data sets. Am J Epidemiol 2009;170:1197-1206. DOI |
28 | Greene WH. Econometric Analysis. Harlow: Pearson Education, 2011. |