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Cited by 243

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Genome-wide association studies in cancer

Easton, D. F., Eeles, R. A.·2008·Human Molecular Genetics

Abstract

Genome-wide association studies (GWAS) provide a powerful approach to identify common, low-penetrance disease loci without prior knowledge of location or function. GWAS have been conducted in five of the commonest cancer types: breast, prostate, colorectal and lung, and melanoma, and have identified more than 20 novel disease loci, confirming that susceptibility to these diseases is polygenic. Many of these loci were detected at low power, indicating that many further loci will probably be detected with larger studies. For the most part, the loci were not previously suspected to be related to carcinogenesis, and point to new disease mechanisms. The risks conferred by the susceptibility alleles are low, generally 1.3-fold or less. The combined effects may, however, be sufficiently large to be useful for risk prediction, and targeted screening and prevention, particularly as more loci are identified.

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Crossref · 10.1093/hmg/ddn287

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Metadata

Authors
Easton, D. F., & Eeles, R. A.
Venue
Human Molecular Genetics
Published
2008-10-15
Volume
17
Issue
R2
Pages
R109-R115
ISSN
  • 0964-6906 (ISSN-L)
  • 1460-2083
OpenAlex
W2097247977
Cited by
243
References
15
FWCI
20.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genome-wide association studies in cancer. https://app.cochat.ai/papers/10.1093/hmg/ddn287
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Easton, D. F., & Eeles, R. A. (2008). Genome-wide association studies in cancer. Human Molecular Genetics. https://doi.org/10.1093/hmg/ddn287

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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.