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Cited by 226

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Genetic susceptibility to infectious diseases: big is beautiful, but will bigger be even better?

Open access
Burgner, David, Jamieson, Sarra E, Blackwell, Jenefer M·2006·The Lancet Infectious Diseases

Abstract

Genetic epidemiology, including twin studies, provides robust evidence that genetic variation in human populations contributes to susceptibility to infectious disease. One of the major limitations of studies that attempt to identify the genes and mechanisms that underlie this susceptibility has been lack of power caused by small sample size. With the development of novel technologies, burgeoning information on the human genome, the HapMap project, and human genetic diversity, we are at the beginning of a new era in the study of the genetics of complex diseases. This review looks afresh at the epidemiological evidence that supports a role for genetics in susceptibility to infectious disease, examines the somewhat limited achievements to date, and discusses current advances in methodology and technology that will potentially lead to translational data in the future.

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Crossref · 10.1016/s1473-3099(06)70601-6

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Metadata

Authors
Burgner, D., Jamieson, S. E., & Blackwell, J. M.
Venue
The Lancet Infectious Diseases
Publisher
Elsevier BV
Published
2006-10
Volume
6
Issue
10
Pages
653-663
ISSN
1473-3099 (ISSN-L)
OpenAlex
W2142073962
Cited by
226
References
9
FWCI
6.01
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Genetic susceptibility to infectious diseases: big is beautiful, but will bigger be even better? https://app.cochat.ai/papers/10.1016/s1473-3099(06)70601-6
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Burgner, D., Jamieson, S. E., & Blackwell, J. M. (2006). Genetic susceptibility to infectious diseases: big is beautiful, but will bigger be even better? The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(06)70601-6

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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.