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SOLAR is a flexible and extensive software
package for genetic variance components analysis, including
linkage analysis, quantitative genetic analysis, SNP
association analysis (QTN and QTLD), and covariate screening.
Operations are included for calculation of marker-specific or
multipoint identity-by-descent (IBD) matrices in pedigrees of
arbitrary size and complexity, and for linkage analysis of
multiple quantitative and/or discrete traits which may
involve multiple loci (oligogenic analysis), dominance
effects, household effects, and interactions. SOLAR
stands for
Sequential
Oligogenic Linkage Analysis
Routines
Please be aware that SOLAR is under continuous
development, and subject to modification including the
removal or replacement of currently supported operations.
Please click here go to the current SOLAR webpage for
the latest release information. It is also recommended that
you download SOLAR from there.
However, you can also download SOLAR
here.
For further information about
SOLAR (or technical support), please send your
questions to solar@sfbrgenetics.org.
Authors of
the current release include John Blangero, Kenneth Lange,
Tom Dyer, Laura Almasy, Harald Göring, Jeff Williams,
Michael Boehnke, and Charles Peterson. Parts of SOLAR
comprise software developed by others; a complete list is
included with the package.
SOLAR is
Copyright © 1995-2008, Southwest Foundation for
Biomedical Research.
References
The main
reference for SOLAR, including theoretical explanations
of the variance component linkage method and the approximate
multipoint IBD calculations in pedigrees, is:
Almasy
L, Blangero J (1998) Multipoint quantitative trait
linkage analysis in general pedigrees. Am J Hum
Genet 62:1198-1211.
Bivariate
Quantitative trait linkage is described in the following
papers:
Almasy
L, Dyer TD, Blangero J (1997) Bivariate quantitative
trait linkage analysis: Pleiotropy versus co-incident
linkages. Genet Epidemiol 14:953-958.
Williams JT,
Van Eerdewegh P, Almasy L, Blangero J (1999) Joint
Multipoint Linkage Analysis of Multivariate Qualitative
and Quantitative Traits. I. Likelihood Formulation and
Simulation Results. Am J Hum Genet 65:1134-1147
The
Liability Threshold model for discrete traits is described
in the preceding paper as well as the following one:
Duggirala
R, Williams JT, Williams-Blangero S, and Blangero J
(1997) A variance component approach to dichotomous trait
linkage analysis using a threshold model. Genet
Epidemiol 14:987-992.
Gene By
Environment Interaction is discussed in:
Towne B,
Siervogel RM, Blangero J (1997) Effects of
genotype-by-sex interaction on quantitative trait linkage
analysis. Genet Epidemiol 14:1053-1058.
Blangero J
(1993) Statistical Genetic Approaches to Human
Adaptability. Hum Biol 65:941-966.
An examination of LOD adjustment is given in:
Blangero J, Williams JT, Almasy L (2000) Robust LOD scores for
variance component-based linkage analysis. Genet Epidemiol 19
Suppl 1:S8-14.
Blangero J, Williams JT, Almasy L (2001) Variance component
methods for detecting complex trait loci. Adv Genet
42:151-81.
Additional references include:
Blangero J,
Almasy L (1997) Multipoint oligogenic linkage analysis of
quantitative traits. Genet Epidemiol
14:959-964.
Mitchell
BD, Ghosh S, Schneider JL, Birznieks G, Blangero J (1997)
Power of variance component linkage analysis to detect
epistasis. Genet Epidemiol
14:1017-1022.
Williams JT, Blangero J (1999) Power of variance component
linkage analysis to detect quantitative trait loci.
Ann Hum Genet 63(6):545-563.
Williams JT,
Blangero J (1999) Comparison of variance components and
sibpair-based approaches to quantitative trait linkage
analysis in unselected samples. Genet Epidemiol
16(2):113-134.
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