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Condel.pm
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Condel.pm
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=head1 LICENSE
Copyright (c) 1999-2011 The European Bioinformatics Institute and
Genome Research Limited. All rights reserved.
This software is distributed under a modified Apache license.
For license details, please see
http://www.ensembl.org/info/about/code_licence.html
=head1 CONTACT
Graham Ritchie <[email protected]>
=cut
=head1 NAME
Condel
=head1 SYNOPSIS
mv Condel.pm ~/.vep/Plugins
perl variant_effect_predictor.pl -i variations.vcf --plugin Condel,/path/to/config/Condel/config,b
=head1 DESCRIPTION
This is a plugin for the Ensembl Variant Effect Predictor (VEP) that calculates
the Consensus Deleteriousness (Condel) score (1) for a missense mutation
based on the pre-calculated SIFT (2) and PolyPhen-2 (3) scores from the Ensembl
API (4). It adds one new entry class to the VEP's Extra column, Condel which is
the calculated Condel score. Condel is developed by the Biomedical Genomics Group
of the Universitat Pompeu Fabra, at the Barcelona Biomedical Research Park
(bg.upf.edu/Condel). The code in this plugin is based on a script provided by this
group and slightly reformatted to fit into the Ensembl API.
The plugin takes 3 command line arguments, the first is the path to a Condel
configuration directory which contains cutoffs and the distribution files etc.,
the second is either "s", "p", or "b" to output the Condel score, prediction or
both (the default is both), and the third argument is either 1 or 2 to use the
original version of Condel (1), or the newer version (2) - 2 is the default and
is recommended to avoid false positive predictions from Condel in some
circumstances.
An example Condel configuration file and a set of distribution files can be found
in the config/Condel directory in this repository. You should edit the
config/Condel/config/condel_SP.conf file and set the 'condel.dir' parameter to
the full path to the location of the config/Condel directory on your system.
References:
(1) Gonzalez-Perez A, Lopez-Bigas N.
Improving the assessment of the outcome of non-synonymous SNVs with a Consensus deleteriousness score (Condel)
Am J Hum Genet 88(4):440-449 (2011)
doi:10.1016/j.ajhg.2011.03.004
(2) Kumar P, Henikoff S, Ng PC.
Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm
Nature Protocols 4(8):1073-1081 (2009)
doi:10.1038/nprot.2009.86
(3) Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR.
A method and server for predicting damaging missense mutations
Nature Methods 7(4):248-249 (2010)
doi:10.1038/nmeth0410-248
(4) Flicek P, et al.
Ensembl 2012
Nucleic Acids Research (2011)
doi: 10.1093/nar/gkr991
=cut
package Condel;
use strict;
use warnings;
use Bio::EnsEMBL::Variation::Utils::BaseVepPlugin;
use base qw(Bio::EnsEMBL::Variation::Utils::BaseVepPlugin);
sub version {
return '2.4';
}
sub feature_types {
return ['Transcript'];
}
sub get_header_info {
return {
Condel => "Consensus deleteriousness score for an amino acid substitution based on SIFT and PolyPhen-2",
};
}
sub new {
my $class = shift;
my $self = $class->SUPER::new(@_);
# parse the config file and distribution files
my $config_dir = $self->params->[0];
$self->{output} = $self->params->[1] || 'b';
$self->{version} = $self->params->[2] || 2;
my $config_file = "$config_dir/condel_SP.conf";
open(CONF, "<$config_file") || die "Could not open $config_file";
my @conf = <CONF>;
my $safe_conf = 0;
for (my $i = 0; $i < @conf; $i++){
if ($conf[$i] =~ /condel\.dir=\'(\S+)\'/){
$self->{config}->{'condel.dir'} = $1;
$safe_conf++;
}
elsif ($conf[$i] =~ /(cutoff\.HumVar\.\w+)=\'(\S+)\'/){
$self->{config}->{$1} = $2;
$safe_conf++;
}
elsif ($conf[$i] =~ /(max\.HumVar\.\w+)=\'(\S+)\'/){
$self->{config}->{$1} = $2;
$safe_conf++;
}
}
if ($safe_conf < 3){
die "Malformed config file!!!\n\n";
}
open(SIFT, $self->{config}->{'condel.dir'}."/methdist/sift.data");
my @sift = <SIFT>;
close SIFT;
for (my $i = 0; $i < @sift; $i++){
if ($sift[$i] =~ /(\S+)\s+(\S+)\s+(\S+)/){
$self->{sift}->{tp}->{$1} = $2;
$self->{sift}->{tn}->{$1} = $3;
}
}
open(POLYPHEN, $self->{config}->{'condel.dir'}."/methdist/polyphen.data");
my @polyphen = <POLYPHEN>;
close POLYPHEN;
for (my $i = 0; $i < @polyphen; $i++){
if ($polyphen[$i] =~ /(\S+)\s+(\S+)\s+(\S+)/){
$self->{polyphen}->{tp}->{$1} = $2;
$self->{polyphen}->{tn}->{$1} = $3;
}
}
return $self;
}
sub run {
my ($self, $tva) = @_;
my $pph_score = $tva->polyphen_score;
my $pph_pred = $tva->polyphen_prediction;
my $sift_score = $tva->sift_score;
my $results = {};
if (defined $pph_score && defined $sift_score && $pph_pred ne 'unknown') {
my ($condel_pred, $condel_score) = $self->compute_condel($sift_score, $pph_score);
$condel_score = sprintf "%.3f", $condel_score;
my $output = "$condel_pred($condel_score)";
$output = $condel_pred if ($self->{output} =~ /^p/);
$output = $condel_score if ($self->{output} =~ /^s/);
$results = {
Condel => $output,
};
}
return $results;
}
sub compute_condel {
my ($self, $sift_score, $polyphen_score) = @_;
my $USE_V2 = $self->{version} == 2;
my $class;
my $base = 0;
my $int_score = 0;
$sift_score = sprintf("%.3f", $sift_score);
$polyphen_score = sprintf("%.3f", $polyphen_score);
if ($sift_score <= $self->{config}->{'cutoff.HumVar.sift'}){
$int_score += sprintf("%.3f", (1 - $sift_score/$self->{config}->{'max.HumVar.sift'})*(1-$self->{sift}->{tn}->{$sift_score}));
$base += $USE_V2 ? 1 : 1-$self->{sift}->{tn}->{$sift_score};
}
else {
$int_score += sprintf("%.3f", (1 - $sift_score/$self->{config}->{'max.HumVar.sift'})*(1-$self->{sift}->{tp}->{$sift_score}));
$base += $USE_V2 ? 1 : 1-$self->{sift}->{tp}->{$sift_score};
}
if ($polyphen_score >= $self->{config}->{'cutoff.HumVar.polyphen'}){
$int_score += sprintf("%.3f", $polyphen_score/$self->{config}->{'max.HumVar.polyphen'}*(1-$self->{polyphen}->{tn}->{$polyphen_score}));
$base += $USE_V2 ? 1 : 1-$self->{polyphen}->{tn}->{$polyphen_score};
}
else {
$int_score += sprintf("%.3f", $polyphen_score/$self->{config}->{'max.HumVar.polyphen'}*(1-$self->{polyphen}->{tp}->{$polyphen_score}));
$base += $USE_V2 ? 1 : 1-$self->{polyphen}->{tp}->{$polyphen_score};
}
if ($base == 0){
$int_score = -1;
$class = 'not_computable_was';
}
else {
$int_score = sprintf("%.3f", $int_score/$base);
}
if ($int_score >= 0.469){
$class = 'deleterious';
}
elsif ($int_score >= 0 && $int_score < 0.469) {
$class = 'neutral';
}
# if the user wants an array, return the class and score, otherwise just return the class
return ($class, $int_score);
}
1;