The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Genetic association studies: Design, analysis and interpretation
Abstract
This paper provides a review of the design and analysis of genetic association studies. In case control studies, the different contingency tables and their relationships to the underlying genetic model are defined. Population stratification is discussed, with suggested methods to identify and correct for the effect. The transmission disequilibrium test is provided as an alternative family-based test, which is robust to population stratification. The relative benefits of each analysis are summarised.
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
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162
Cited by
Chapter 11: Genome-wide association studies
Bush, W. S., & Moore, J. H. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002822 · Cited by 1,171
The Future of Association Studies: Gene-Based Analysis and Replication
Neale, B. M., & Sham, P. C. (2004) · The American Journal of Human Genetics · doi:10.1086/423901 · Cited by 606
Smart Engineering of Genetic Resources for Enhanced Salinity Tolerance in Crop Plants
Arzani, A., & Ashraf, M. (2016) · Critical Reviews in Plant Sciences · doi:10.1080/07352689.2016.1245056 · Cited by 286
Taylor, S. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.76 · Cited by 264
Genes and human elite athletic performance
MacArthur, D. G., & North, K. N. (2005) · Human Genetics · doi:10.1007/s00439-005-1261-8 · Cited by 229
Metadata
- Authors
- Lewis, C. M.
- Venue
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-06-01
- Volume
- 3
- Issue
- 2
- Pages
- 146-153
- ISSN
- 1467-5463 (ISSN-L)
- 1477-4054
- OpenAlex
- W2036144540
- Cited by
- 471
- References
- 1
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- closed
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: Genetic association studies: Design, analysis and interpretation. https://app.cochat.ai/papers/10.1093/bib/3.2.146
- The paper
- Lewis, C. M. (2002). Genetic association studies: Design, analysis and interpretation. Briefings in Bioinformatics. https://doi.org/10.1093/bib/3.2.146
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.
