The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Meta-analysis of discovery and Ji County data showed consistent directions of effect: β = 24.82, SE = 4.80, P = 2.29x10-7 by inverse-variance-weighted method, and P = 7.03x10-8 by weighted sum of Z-scores.
“Meta-analysis of discovery stage and Ji County data showed consistent directions of effect: β = 24.82, SE = 4.80, P = 2.29x10-7 utilizing inverse-variance-weighted method, and P = 7.03x10-8 by employing a weighted sum of Z-scores method [35].”
From Genetic variation in CCDC93 is associated with elevated central systolic blood pressure, impaired arterial relaxation, and mitochondrial dysfunction (2024) · cites this paper as [35]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
A basic introduction to fixed-effect and random-effects models for meta-analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.12 · Cited by 6,793
The combination of estimates from different experiments
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001666 · Cited by 5,380
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
International Parkinson's Disease Genomics Consortium (IPDGC), Nalls, M. A., Parkinson's Study Group (PSG) Parkinson's Research: The Organized GENetics Initiative (PROGENI), 23andMe, GenePD, NeuroGenetics Research Consortium (NGRC), Hussman Institute of Human Genomics (HIHG), Investigator, T. A. J. D., (CHARGE), C. F. H. A. A. R. I. G. E., North American Brain Expression Consortium (NABEC), et al. (2014) · Nature Genetics · doi:10.1038/ng.3043 · Cited by 1,895
Self-citationIdentification of a Common Neurobiological Substrate for Mental Illness
Goodkind, M., Eickhoff, S. B., Oathes, D. J., Jiang, Y., Chang, A., Jones-Hagata, L. B., Ortega, B. N., Zaiko, Y. V., Roach, E. L., Korgaonkar, M. S., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2206 · Cited by 1,404
Han, B., & Eskin, E. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.04.014 · Cited by 680
Self-citationMeta-analysis methods for genome-wide association studies and beyond
Evangelou, E., & Ioannidis, J. P. A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3472 · Cited by 596
Practical aspects of imputation-driven meta-analysis of genome-wide association studies
de Bakker, P. I. W., Ferreira, M. A. R., Jia, X., Neale, B. M., Raychaudhuri, S., & Voight, B. F. (2008) · Human Molecular Genetics · doi:10.1093/hmg/ddn288 · Cited by 531
Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes
Raj, T., Rothamel, K., Mostafavi, S., Ye, C., Lee, M. N., Replogle, J. M., Feng, T., Lee, M., Asinovski, N., Frohlich, I., et al. (2014) · Science · doi:10.1126/science.1249547 · Cited by 506
Flagged first, then by citations
Research works printed but not linked: 18
- Zeggini, 2009, Pharmacogenomics, 10, 191, 10.2217/14622416.10.2.191 · DOI
- Cantor, 2010, Am J Hum Genet, 86, 6, 10.1016/j.ajhg.2009.11.017 · DOI
- Traylor, 2014, PLoS Genet, 10, e1004469, 10.1371/journal.pgen.1004469 · DOI
- Lee, 2014, Science, 343, 1246980, 10.1126/science.1246980 · DOI · Paper page
- Zaitlen, 2010, Genet Epidemiol, 34, 537, 10.1002/gepi.20507 · DOI
- Zeggini, 2008, Nat Genet, 40, 638, 10.1038/ng.120 · DOI · Paper page
- Furlotte, 2012, Genetics, 191, 959, 10.1534/genetics.112.140277 · DOI
- Sul, 2013, PLoS Genet, 9, e1003491, 10.1371/journal.pgen.1003491 · DOI
- Fisher, 1925, Statistical Methods for Research Workers
- Fleiss, 1993, Stat Methods Med Res, 2, 121, 10.1177/096228029300200202 · DOI
- Liptak, 1958, Magyar Tud Akad Mat Kutato Int Kozl, 3, 171
- Zaykin, 2011, J Evol Biol, 24, 1836, 10.1111/j.1420-9101.2011.02297.x · DOI
- Zhou, 2011, Genet Epidemiol, 35, 581, 10.1002/gepi.20603 · DOI
- Mantel, 1959, J Natl Cancer Inst, 22, 719
- Won, 2009, Stat Med, 28, 1537, 10.1002/sim.3569 · DOI
- Birch, 1964, J R Stat Soc Series B, 26, 313, 10.1111/j.2517-6161.1964.tb00564.x · DOI
- Pereira, 2009, Am J Epidemiol, 170, 1197, 10.1093/aje/kwp262 · DOI
- Greene, 2011, Econometric Analysis
Cited by
Sorted by citations
Global etiology of bacterial meningitis: A systematic review and meta-analysis.
Oordt-Speets, A. M., Bolijn, R., van Hoorn, R. C., Bhavsar, A., & Kyaw, M. H. (2018) · PloS One · doi:10.1371/journal.pone.0198772 · Cited by 288
Waqas, S. A., Ali, D., Afridi, M. K., Siddiqui, H. F., Nazir, A., Greene, S. J., & Khan, M. S. (2025) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2025.105981 · Cited by 11
The hidden genetic and microbial networks connecting neuropsychiatric and digestive disorders
Xiong, J., Xu, T., Wang, Z., Huang, Y., Zhang, S., Yang, G., Yang, J., Gao, S., Wang, T., Jian, X., et al. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.07.029 · Cited by 4
“…effects and assess robustness to potential assumption violations, particularly horizontal pleiotropy (violation of assumption 3), five complementary MR methods were applied, including inverse-variance weighted (IVW), weighted median, weighted mode, simple mode, and MR-Egger regression[30 – 32].”
Kumar, N., Yang, M.-L., Sun, P., Hunker, K. L., Li, J., Jia, J., Fan, F., Wang, J., Ning, X., Gao, W., et al. (2024) · PLOS Genetics · doi:10.1371/journal.pgen.1011151 · Cited by 1
Metadata
- Authors
- Lee, C. H., Cook, S., Lee, J. S., & Han, B.
- Affiliations
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.
- Venue
- Genomics & Informatics
- Publisher
- Korea Genome Organization
- Published
- 2016
- Volume
- 14
- Issue
- 4
- Pages
- 173
- ISSN
- 2234-0742
- PMC
- PMC5287121
- Cited by
- 308
- References
- 11
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review