[med-svn] r3789 - trunk/packages/R/r-other-mott-happy/trunk/debian
Steffen Möller
smoe-guest at alioth.debian.org
Tue Aug 18 14:28:37 UTC 2009
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 <debian-med-packaging at lists.alioth.debian.org>
Uploaders: Steffen Moeller <moeller at debian.org>
-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.
+
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