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Cited by 1,589

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium

Open access
Carlson, Christopher S., Eberle, Michael A., Rieder, Mark J., Yi, Qian, Kruglyak, Leonid, Nickerson, Deborah A.·2004·The American Journal of Human Genetics

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Metadata

Authors
Carlson, C. S., Eberle, M. A., Rieder, M. J., Yi, Q., Kruglyak, L., & Nickerson, D. A.
Venue
The American Journal of Human Genetics
Publisher
Elsevier BV
Published
2004-01
Volume
74
Issue
1
Pages
106-120
ISSN
0002-9297 (ISSN-L)
OpenAlex
W2015408724
Cited by
1,589
References
6
FWCI
80.31
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium. https://app.cochat.ai/papers/10.1086/381000
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Carlson, C. S., Eberle, M. A., Rieder, M. J., Yi, Q., Kruglyak, L., & Nickerson, D. A. (2004). Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium. The American Journal of Human Genetics. https://doi.org/10.1086/381000

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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.