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Estimation of significance thresholds for genomewide association scans
Open accessAbstract
The question of what significance threshold is appropriate for genomewide association studies is somewhat unresolved. Previous theoretical suggestions have yet to be validated in practice, whereas permutation testing does not resolve a discrepancy between the genomewide multiplicity of the experiment and the subset of markers actually tested. We used genotypes from the Wellcome Trust Case‐Control Consortium to estimate a genomewide significance threshold for the UK Caucasian population. We subsampled the genotypes at increasing densities, using permutation to estimate the nominal P‐value for 5% family‐wise error. By extrapolating to infinite density, we estimated the genomewide significance threshold to be about 7.2 × 10−8. To reduce the computation time, we considered Patterson's eigenvalue estimator of the effective number of tests, but found it to be an order of magnitude too low for multiplicity correction. However, by fitting a Beta distribution to the minimum P‐value from permutation replicates, we showed that the effective number is a useful heuristic and suggest that its estimation in this context is an open problem. We conclude that permutation is still needed to obtain genomewide significance thresholds, but with subsampling, extrapolation and estimation of an effective number of tests, the threshold can be standardized for all studies of the same population. Genet. Epidemiol. 2008. © 2008 Wiley‐Liss, Inc.
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“This P-value is genome-wide significant at the empirical threshold for European populations29 and was well supported by association of multiple variants in the region (Figure 1 and Supplementary Table 1).”
From Whole-genome sequencing suggests a chemokine gene cluster that modifies age at onset in familial Alzheimer's disease (2015) · cites this paper as [29]
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
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 haplotype map of the human genome
The International HapMap Consortium (2005) · Nature · doi:10.1038/nature04226 · Cited by 5,858
The Future of Genetic Studies of Complex Human Diseases
Risch, N., & Merikangas, K. (1996) · Science · doi:10.1126/science.273.5281.1516 · Cited by 5,355
Population Structure and Eigenanalysis
Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280
Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results
Lander, E. S., & Kruglyak, L. (1995) · Nature Genetics · doi:10.1038/ng1195-241 · Cited by 5,236
Empirical threshold values for quantitative trait mapping.
Churchill, G. A., & Doerge, R. W. (1994) · Genetics · doi:10.1093/genetics/138.3.963 · Cited by 4,935
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702
Rectangular Confidence Regions for the Means of Multivariate Normal Distributions
Šidák, Z. (1967) · Journal of the American Statistical Association · doi:10.1080/01621459.1967.10482935 · Cited by 2,904
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- Clayton DG, 2003, P‐values, false discovery rates, and Bayes factors: how should we assess the “significance” of genetic associations?, Ann Hum Genet, 67, 630
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Zhang, L., Paterson, A. D., & Sun, L. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.17.725730
Takács, S., Skrapits, K., Göcz, B., Rumpler, É., Sárvári, M., Göblyös, B., Biri, D., Póliska, S., Rácz, G., Matolcsy, A., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-76688-w
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Mol, B. V., Janssens, S., Meyermans, R., Chapard, L., Oosterlinck, M., Pille, F., & Buys, N. (2026) · BMC Genomics · doi:10.1186/s12864-026-13364-9
Wang, Q., Zhang, Y., Zhang, D.-K., Zhao, R., Cao, Y., Chen, Y., Wang, K.-K., & Li, J.-T. (2026) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2026.103387
Gudjonsson, J. E., & Elder, J. T. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-383834-6.00176-2
Metadata
- Authors
- Dudbridge, F., & Gusnanto, A.
- Affiliations
- MRC Biostatistics Unit (GB)
- Corresponding author
- Dudbridge, Frank
- Venue
- Genetic Epidemiology
- Publisher
- Wiley
- Published
- 2008-02-25
- Volume
- 32
- Issue
- 3
- Pages
- 227-234
- ISSN
- 0741-0395 (ISSN-L)
- 1098-2272
- PMC
- PMC2573032
- OpenAlex
- W2105239414
- Cited by
- 703
- References
- 26
- Citations by year
- 2026: 18 · 2025: 24 · 2024: 26 · 2023: 30 · 2022: 26 · 2021: 36 · 2020: 45 · 2019: 32 · 2018: 49 · 2017: 32 · 2016: 30 · 2015: 36 · 2014: 47 · 2013: 47 · 2012: 46
- FWCI
- 33.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genetic Epidemiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Funders
- Sixth Framework Programme (LSHM-CT-2004-503485)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- genome-wide association study, permutation tests, family-wise error rate, multiple testing correction, subsampling, beta distribution, Wellcome Trust Case Control Consortium
- MeSH terms
- Genetic Markers, Genotype, United Kingdom, Humans, Genome, Human, Case-Control Studies, Genetic Predisposition to Disease, White People
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