The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Impact of Violations and Deviations in Hardy-Weinberg Equilibrium on Postulated Gene-Disease Associations
Abstract
The authors evaluated whether statistically significant violations of Hardy-Weinberg equilibrium (HWE) or the magnitude of deviations from HWE may contribute to the problem of replicating postulated gene-disease associations across different studies. Forty-two gene-disease associations assessed in meta-analyses of 591 studies were examined. Studies with disease-free controls in which HWE was violated gave significantly different results from HWE-conforming studies in five instances. Exclusion of the former studies resulted in loss of statistical significance of the overall meta-analysis in three instances and more than a 10% change in the summary odds ratio in six. Exclusion of HWE-violating studies changed the formal significance of the estimated between-study heterogeneity in three instances. After adjustment for the magnitude of the deviation from HWE for the controls, formal significance was lost in another three instances. Studies adjusted for the magnitude of deviation from HWE tended to become more heterogeneous among themselves, and, for seven gene-disease associations, between-study heterogeneity became significant, while it was not so in the unadjusted analyses. Gene-disease association studies and meta-analyses thereof should routinely scrutinize the potential impact of HWE violations as well as nonsignificant deviations from the exact frequencies expected under HWE. Postulated genetic associations with modest-sized odds ratios and borderline statistical significance may not be robust in such sensitivity analyses.
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Cites
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Self-citationWhy Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702 · cited 1×
“Alternatively, inferences should take into consideration not only the p value but also the prestudy probability that a postulated association is true and the potential for bias (64, 65).”
BackgroundSelf-citationPublication bias in clinical research
Easterbrook, P. J., Gopalan, R., Berlin, J. A., & Matthews, D. R. (1991) · The Lancet · doi:10.1016/0140-6736(91)90201-y · Cited by 3,109 · cited 1×
“Various reasons have been proposed for this phenomenon, including, among others, exaggerated early results (3), publication bias and time-lag bias against ‘‘negative’’ studies (3, 6), differences between small and larger studies (7), and population stratification and ‘‘racial/ethnic’’ heterogeneity (8).”
BackgroundQuantitative Synthesis in Systematic Reviews
Lau, J., Ioannidis, J. P. A., & Schmid, C. H. (1997) · Annals of Internal Medicine · doi:10.7326/0003-4819-127-9-199711010-00008 · Cited by 2,517 · cited 1×
“10) (18), and we estimated its extent with the I(2) statistic (19).”
BackgroundSelf-citationLohmueller, K. E., Pearce, C. L., Pike, M., Lander, E. S., & Hirschhorn, J. N. (2003) · Nature Genetics · doi:10.1038/ng1071 · Cited by 1,900
A comprehensive review of genetic association studies
Hirschhorn, J. N., Lohmueller, K., Byrne, E., & Hirschhorn, K. (2002) · Genetics in Medicine · doi:10.1097/00125817-200203000-00002 · Cited by 1,674
Anguelova, M., Benkelfat, C., & Turecki, G. (2003) · Molecular Psychiatry · doi:10.1038/sj.mp.4001336 · Cited by 421
Large Trials vs Meta-analysis of Smaller Trials: How Do Their Results Compare?
Cappelleri, J. C. (1996) · JAMA · doi:10.1001/jama.1996.03540160054033 · Cited by 336
TGFBR1*6A and Cancer: A Meta-Analysis of 12 Case-Control Studies
Pasche, B., Kaklamani, V., Hou, N., Young, T., Rademaker, A., Peterlongo, P., Ellis, N., Offit, K., Caldes, T., Reiss, M., et al. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.99.271 · Cited by 88
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Little, J., Higgins, J. P. T., Ioannidis, J. P. A., Moher, D., Gagnon, F., von Elm, E., Khoury, M. J., Cohen, B., Davey-Smith, G., Grimshaw, J., et al. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000022 · Cited by 811
Self-citationGratacòs, M., González, J. R., Mercader, J. M., de Cid, R., Urretavizcaya, M., & Estivill, X. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.08.025 · Cited by 428
Chen, S.-W., Zhong, X.-S., Jiang, L.-N., Zheng, X.-Y., Xiong, Y.-Q., Ma, S.-J., Qiu, M., Huo, S.-T., Ge, J., & Chen, Q. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.08.035 · Cited by 194
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Varvarigou, V., Dahabreh, I. J., Malhotra, A., & Kales, S. N. (2011) · Sleep · doi:10.5665/sleep.1376 · Cited by 106
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Pesch, B., Gawrych, K., Rabstein, S., Weiss, T., Casjens, S., Rihs, H.-P., Ding, H., Angerer, J., Illig, T., Klopp, N., et al. (2013) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-13-0119-t · Cited by 35
Metadata
- Authors
- Trikalinos, T. A., Salanti, G., Khoury, M. J., & Ioannidis, J. P. A.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-01-12
- Volume
- 163
- Issue
- 4
- Pages
- 300-309
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2136222333
- Cited by
- 278
- References
- 9
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- closed
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