The package provides a set of functions which aim is to propose four measures of linkage disequilibrium:
- Measure.R2: the usual \(r^2\) measure.
- Measure.R2S: \(r^2\) corrected by the structure of the sample (\(r^2_S\)).
- Measure.R2V: \(r^2\) corrected by the relatedness of genotyped individuals (\(r^2_V\)).
- Measure.R2VS: \(r^2\) corrected by both the relatedness of genotyped individuals and the structure of the sample (\(r^2_VS\)).
- LD.Measures: this function computes the four measures of linkage disequilibrium (\(r^2\), \(r^2_V\),
\(r^2_S\) and \(r^2_{VS}\)) for a set of loci and gives extra information about them.
David Desrousseaux, Florian Sandron, Aurélie Siberchicot, Christine Cierco-Ayrolles and Brigitte Mangin
Maintainer: aurelie.siberchicot@univ-lyon1.fr
Mangin, B., Siberchicot, A., Nicolas, S., Doligez, A., This, P., Cierco-Ayrolles, C. (2012). Novel measures of linkage disequilibrium that correct the bias due to population structure and relatedness. Heredity, 108 (3), 285-291. DOI: 10.1038/hdy.2011.73