The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A comparison of sib‐pair linkage tests for disease susceptibility loci
Abstract
An analytical study is conducted of the properties of statistical tests to detect linkage between a disease locus and a very polymorphic marker locus when data on sib pairs are available. In most instances the most powerful test is the test based on the mean number of marker alleles shared identical by descent by the two members of a sib pair, and the most efficient sampling strategy is almost always to sample only pairs with both sibs affected. We show it is valid to use the information from all possible sib pairs as though they came from separate families when data on sibships of size three or larger are available, though more power may be obtained if different weights are given to the different sibship sizes.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Cited by
Genetics and hypertension: is it time to change my practice?
Delles, C., & Padmanabhan, S. (2012) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2012.02.004 · Cited by 23
Metadata
- Authors
- Blackwelder, W. C., Elston, R. C., & Rao, D. C.
- Venue
- Genetic Epidemiology
- Publisher
- Wiley
- Published
- 1985-01
- Volume
- 2
- Issue
- 1
- Pages
- 85-97
- ISSN
- 0741-0395 (ISSN-L)
- 1098-2272
- OpenAlex
- W2123869079
- Cited by
- 395
- References
- 1
- FWCI
- 2.18
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
