Author: smoe-guest Date: 2009-08-18 14:28:37 +0000 (Tue, 18 Aug 2009) New Revision: 3789
Modified: trunk/packages/R/r-other-mott-happy/trunk/debian/control Log: Enhanced description with input from task page. Modified: trunk/packages/R/r-other-mott-happy/trunk/debian/control =================================================================== --- trunk/packages/R/r-other-mott-happy/trunk/debian/control 2009-08-18 12:45:33 UTC (rev 3788) +++ trunk/packages/R/r-other-mott-happy/trunk/debian/control 2009-08-18 14:28:37 UTC (rev 3789) @@ -3,7 +3,7 @@ Priority: optional Maintainer: Debian-Med Packaging Team <[email protected]> Uploaders: Steffen Moeller <[email protected]> -Build-Depends: debhelper (>= 5.0.0), cdbs, r-base-dev, r-cran-g.data +Build-Depends: debhelper (>= 5.0.0), cdbs, r-base-dev, r-cran-g.data, quilt Standards-Version: 3.8.1 Homepage: http://www.well.ox.ac.uk/happy/happyR.shtml Vcs-Browser: http://svn.debian.org/wsvn/debian-med/trunk/packages/R/r-other-mott-happy/trunk/?rev=0&sc=0 @@ -13,6 +13,33 @@ Architecture: any Depends: ${shlibs:Depends}, r-base-core, r-cran-g.data Description: GNU R package for fine-mapping complex diseases + Most phenotypes of medical importance can be measured quantitatively, + and in many cases the genetic contribution is substantial, accounting + for 40% or more of the phenotypic variance. Considerable efforts have + been made to isolate the genes responsible for quantitative genetic + variation in human populations, but with little success, mostly + because genetic loci contributing to quantitative traits + (quantitative trait loci, QTL) have only a small effect on the + phenotype. Association studies have been proposed as the most + appropriate method for finding the genes that influence complex + traits. However, family-based studies may not provide the resolution + needed for positional cloning, unless they are very large, while + environmental or genetic differences between cases and controls may + confound population-based association studies. + . + These difficulties have led to the study of animal models of human + traits. Studies using experimental crosses between inbred animal + strains have been successful in mapping QTLs with effects on a number + of different phenotypes, including behaviour, but attempts to + fine-map QTLs in animals have often foundered on the discovery that a + single QTL of large effect was in fact due to multiple loci of small + effect positioned within the same chromosomal region. A further + potential difficulty with detecting QTLs between inbred crosses is + the significant reduction in genetic heterogeneity compared to the + total genetic variation present in animal populations: a QTL + segregating in the wild need not be present in the experimental + cross. + . The idea behind this package is that when multiple strains of animals that differ in their susceptibility to multiple diseases are bread over multiple generations, then one can analyse the @@ -27,8 +54,16 @@ happy is an R interface into the HAPPY C package for fine-mapping Quantitative Trait Loci (QTL) in Heterogenous Stocks (HS). An HS is an advanced intercross between (usually eight) founder inbred strains - of mice. HS are suitable for fine-mapping QTL. The happy package is + of mice. HS are suitable for fine-mapping QTL. It uses a multipoint + analysis which offers significant improvements in statistical power to + detect QTLs over that achieved by single-marker association. + . + The happy package is an extension of the original C program happy; it uses the C code to compute the probability of descent from each of the founders, at each locus position, but the happy packager allows a much richer range of models to be fit to the data. + + Further details can be found in + Proc. Natl. Acad. Sci. USA, 10.1073/pnas.230304397. + _______________________________________________ debian-med-commit mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/debian-med-commit
