The R package **VarExp** provides functions for the estimating of the
The R package **VarExp** provides functions for the estimating of the percentage of phenotypic variance explained by genetic effects, interaction effects or jointly by both effects. This suite of functions are useful for meta-analysis designs where pooling individual genotype data is challenging. A pre-print article related to this work is available [here](bioRkiv%20link)
percentage of phenotypic variance explained by genetic effects,
interaction effects or jointly by both effects. This suite of functions
are useful for meta-analysis designs where pooling individual genotype
data is challenging. A pre-print article related to this work is
available [here](bioRkiv%20link)
Prerequisite
Prerequisite
------------
------------
Library
Library [**Rcurl**](https://cran.r-project.org/web/packages/RCurl/index.html) is required to run **VarExp**
[**Rcurl**](https://cran.r-project.org/web/packages/RCurl/index.html) is
required to run **VarExp**
Installation
Installation
------------
------------
For now, **VarExp** can be installed only using package source. In R,
For now, **VarExp** can be installed only using package source. In R, after setting your working directory to *VarExp\_0.1.0.tar.gz* location, type:
after setting your working directory to *VarExp\_0.1.0.tar.gz* location,
- A file providing the meta-analysis results with the following
- A file providing the meta-analysis results with the following mandatory columns:
mandatory columns:
- the rs identifier of the variant
- the rs identifier of the variant
- the chromosome number on which the variant is
- the chromosome number on which the variant is
- the physical position of the variant (currently in NCBI Build
- the physical position of the variant (currently in NCBI Build B37)
B37)
- the tested allele of the variant
- the tested allele of the variant
- the frequency of the allele A0
- the frequency of the allele A0
- the regression coefficient of the main genetic effect
- the regression coefficient of the main genetic effect
...
@@ -54,9 +45,7 @@ Two input files are required.
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@@ -54,9 +45,7 @@ Two input files are required.
## rs7538305 1 824398 C 0.15379 0.054950590 -0.04494799
## rs7538305 1 824398 C 0.15379 0.054950590 -0.04494799
## rs28613513 1 1112810 T 0.05358 -0.001334013 0.10294423
## rs28613513 1 1112810 T 0.05358 -0.001334013 0.10294423
- A file providing the summary statistics for the outcome and the
- A file providing the summary statistics for the outcome and the exposure in each individual cohort included in the meta-analysis. Mandatory columns of this file are:
exposure in each individual cohort included in the meta-analysis.
Mandatory columns of this file are:
- the identifier of the cohort
- the identifier of the cohort
- the sample size of the cohort
- the sample size of the cohort
- the phenotype mean in the cohort
- the phenotype mean in the cohort
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@@ -73,15 +62,14 @@ Two input files are required.
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@@ -73,15 +62,14 @@ Two input files are required.
## 4 10000 1.342020 3.151429 1.999943 1.256718
## 4 10000 1.342020 3.151429 1.999943 1.256718
## 5 10000 1.385564 3.153274 2.002401 1.235129
## 5 10000 1.385564 3.153274 2.002401 1.235129
Note that in the case of a binary exposure, the two latter columns can
Note that in the case of a binary exposure, the two latter columns can be replaced by a single column providing the count of exposed individuals in each cohort.
be replaced by a single column providing the count of exposed
individuals in each cohort.
Short tutorial
Short tutorial
--------------
--------------
Data used in this tutorial are included in the ***VarExp*** package.
Data used in this tutorial are included in the ***VarExp*** package.
``` r
# Load the package
# Load the package
library(VarExp)
library(VarExp)
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@@ -111,6 +99,7 @@ Data used in this tutorial are included in the ***VarExp*** package.
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@@ -111,6 +99,7 @@ Data used in this tutorial are included in the ***VarExp*** package.
@@ -120,13 +109,9 @@ Please open an issue if you find a bug.
...
@@ -120,13 +109,9 @@ Please open an issue if you find a bug.
Code of conduct
Code of conduct
---------------
---------------
Please note that this project is released with a [Contributor Code of
Please note that this project is released with a [Contributor Code of Conduct](https://gitlab.pasteur.fr/statistical-genetics/VarExp/blob/master/code-of-conduct.md). By participating in this project you agree to abide by its terms.
By participating in this project you agree to abide by its terms.
License
License
-------
-------
This project is licensed under the MIT License - see the
This project is licensed under the MIT License - see the [LICENSE.md](https://gitlab.pasteur.fr/statistical-genetics/VarExp/blob/master/LICENSE) file for details