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Cited by 271

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Genetic linkage studies

Dawn Teare, M, Barrett, Jennifer H·2005·The Lancet

Abstract

Linkage analysis is used to map genetic loci by use of observations of related individuals. We provide an introduction to methods commonly used to map loci that predispose to disease. Linkage analysis methods can be applied to both major gene disorders (parametric linkage) and complex diseases (model-free or non-parametric linkage). Evidence for linkage is most commonly expressed as a logarithm of the odds score. We provide a framework for interpretation of these scores and discuss the role of simulation in assessment of statistical significance and estimation of power. Genetic and phenotypic heterogeneity can also affect the success of a study, and several methods exist to address such problems.

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Metadata

Authors
Dawn Teare, M., & Barrett, J. H.
Venue
The Lancet
Publisher
Elsevier BV
Published
2005-09
Volume
366
Issue
9490
Pages
1036-1044
ISSN
  • 0099-5355 (ISSN-L)
  • 0140-6736
OpenAlex
W2013376909
Cited by
271
References
48
FWCI
9.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genetic linkage studies. https://app.cochat.ai/papers/10.1016/s0140-6736(05)67382-5
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Dawn Teare, M., & Barrett, J. H. (2005). Genetic linkage studies. The Lancet. https://doi.org/10.1016/s0140-6736(05)67382-5

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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.