The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Increasing the power of identifying gene × gene interactions in genome‐wide association studies
Open accessAbstract
In this paper we investigate the power to identify gene × gene interactions in genome‐wide association studies. In our analysis we focus on two‐stage analyses: analyses in which we only test for interactions between single nucleotide polymorphisms that show some marginal effect. We give two algorithms to compute significance levels for such an analyses. One involves a Bonferoni correction on the number of interactions that are actually tested, and one is a resampling procedure similar to the one proposed by [Lin (2006) Am. J. Hum. Genet. 78:505–509]. We also give an algorithm to carry out approximate power calculations for studies that plan to use a two‐stage analysis. We find that for most plausible interaction effects a two‐stage analysis can dramatically increase the power to identify interactions compared to a single‐stage analysis based on simulation studies using known genetic models and data from existing genome‐wide association studies. Genet. Epidemiol. 2008. © 2008 Wiley‐Liss, Inc.
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.
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
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 genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Genome-wide association study identifies novel breast cancer susceptibility loci
Easton, D. F., Pooley, K. A., Dunning, A. M., Pharoah, P. D. P., Thompson, D., Ballinger, D. G., Struewing, J. P., Morrison, J., Field, H., Luben, R., et al. (2007) · Nature · doi:10.1038/nature05887 · Cited by 2,319
Skol, A. D., Scott, L. J., Abecasis, G. R., & Boehnke, M. (2006) · Nature Genetics · doi:10.1038/ng1706 · Cited by 1,286
the CORGI Consortium, Tomlinson, I., Webb, E., Carvajal-Carmona, L., Broderick, P., Kemp, Z., Spain, S., Penegar, S., Chandler, I., Gorman, M., et al. (2007) · Nature Genetics · doi:10.1038/ng2085 · Cited by 808
Metadata
- Authors
- Kooperberg, C., & LeBlanc, M.
- Venue
- Genetic Epidemiology
- Publisher
- Wiley
- Published
- 2008-01-16
- Volume
- 32
- Issue
- 3
- Pages
- 255-263
- ISSN
- 0741-0395 (ISSN-L)
- 1098-2272
- OpenAlex
- W2132039887
- Cited by
- 203
- References
- 5
- FWCI
- 7.03
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Increasing the power of identifying gene × gene interactions in genome‐wide association studies. https://app.cochat.ai/papers/10.1002/gepi.20300
- The paper
- Kooperberg, C., & LeBlanc, M. (2008). Increasing the power of identifying gene × gene interactions in genome‐wide association studies. Genetic Epidemiology. https://doi.org/10.1002/gepi.20300
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
