Version 8 (modified by 4 months ago) ( diff ) | ,
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How to use the Variant Search extension
Introduction
The current search functionality is integrated directly in BASE. Go to the raw bioassays list page and add one or more of the columns mentioned below to the table using the Columns... dialog, or right-click on the title row and enable them from the popup menu.
By default, the columns display Yes or No depending on if the VCF file has been indexed or not. If Yes, the number of variants is also displayed.
Variants for the RNAseq pipeline
The following indexes are for the RNAseq pipeline. Set a filter on the Pipeline annotation to RNAseq/Hisat/VariantCall as a baseline for selecting bioassays that are included in the variant indexes.
- Variants (all): This index contain all variants found in the variant calling pipeline. There are typically several thousands for each rawbioassay.
- Variants (filtered): This index contain the variants that survived the filtering step in the variant calling pipeline. There are typically less than 100 variants for each raw bioassay.
- Variants (targeted): This index contain the results from the targeted genotyping and include results for both when a variant is found and when it is not found. There are currently 3 sets of targeted genotyping:
- ESR1 (13 resistance mutations related to standard hormone therapy)
- PIK3CA (11 variants related to Alpelisib treatment)
- DPYD (6 variants related to fluoropyrimidine-associated toxicity)
Variants for the WGS pipeline
The following indexes are for the WGS pipeline. Set a filter on the Pipeline annotation to DNA/Paired/VariantCall as a baseline for selecting bioassays that are included in the variant indexes.
- Variants (WGS): This index contain the variants that are considered to be somatic by the WGS variant calling pipeline.
Variants for the genotyping pipeline
The following indexes are for the OncoArray genotyping pipeline. Set a filter on the Pipeline annotation to DNA/Genotyping as a baseline for selecting bioassays that are included in the variant indexes.
- Genotyping (OncoArray500K): This index contains genotypes measured on the OncoArray 500K chip.
- Genotyping (Imputed): This index contains genotypes that have been imputed from the OncoArray data. There is information about ~84 million variants.
Searching
The variant database uses Apache Lucene instead of PostgreSQL. Thus, the search field for this column behaves differently from other search fields in BASE.
It is possible to search for raw bioassays that have been indexed or not and the number of variants:
%
: Find all indexed raw bioassays<>%
or=
: Find all raw bioassays that are not indexed=0
: Find indexed raw bioassays with 0 variants>=500
: Find indexed raw bioassays with at least 500 variants
Note! This syntax is similar to the regular BASE syntax, but is for example, not possible to use a list of values: =1|2
(will not work)
Searching for variants
A typical search in a Lucene database consists of a field name and query string separated by a colon (:). Here are a few examples:
gene:TP53
: Find variants in the TP53 genechr17:7675189
: Find variants at the specified genomic locationc:423C>G
: Find variants at the given transcript positionp:C141W
: Find variants causing the specified protein changecosmic:COSV52706449
: Find variants for the COSMIC IDrsid:rs1057519977
: Find variants for the dbSNP IDgt:1/1
: Find variants that are homozygousdp:>=100
: Find variants that has been sequenced to a depth 100 or morevd:>=100
: Find variants where at least 100 alternate alleles have been foundaf:>0.8
: Find variants where the alternate allele frequency is larger than 0.8effect:synonymous
: Find variants where the predicted effect is synonymous
Tip! The prefix can in many cases be skipped since it is almost always possible to automatically make an educated guess about the field with some pattern matching on the query string. The gene: field is the default and will be used if a field can't be automatically guessed. Here are the same examples as above:
TP53
: Since gene: is the default field423C>G
: Numbers followed by [ACGT] and >C141W
: Single-letter with numbers in-betweenCOSV52706449
: 'COSV' follwed by numbersrs1057519977
: 'rs' followed by numbers1/1
: 0 or 1 with forward slash in-between
Note! If a query don't return the expected result always try again with explicit field prefixes. The following fields are never auto-detected:
dp
vd
af
effect
It is possible to specify multiple conditions with AND and OR.
TP53 AND 423C>G
TP53 AND (423C>G OR 742C>T)
The AND and OR keywords are case-sensitive and OR is implicit if not specified. Thus, the query string TP53 and 423C>G
will not return the expected results since it is interpreted as: gene:TP53 OR gene:and OR c:423C>G
.
For more information about Lucene query syntax see https://lucene.apache.org/core/8_8_0/queryparser/org/apache/lucene/queryparser/classic/package-summary.html#package.description
Indexed fields
The variant database currently contains the following indexed fields:
gene:
Gene name from the ncbiRefSeq annotation the SnpEff Gene_Name column. Case-insensitive.type:
Type of variant. Can be one of SNV, Insertion, Deletion, Complex.cosmic:
ID of the variant in the COSMIC database.rsid:
ID of variant in the dbSNP database.c:
Transcript change. Taken from the cosmic_CDS annotation and SnpEff HGVS.c column.p:
Expected amino-acid change in the protein. Taken from cosmic_AA annotation and SnpEff HGVS.p column. Note! COSMIC uses single-letter notation for amino acids, while SnpEff uses three-letter notation. To make things simple, all values have been converted to single-letter notation in the index. See https://www.hgvs.org/mutnomen/codon.html for a table with translations.ref:
Reference allelealt:
Alternate allelechrom:
Name of chromosome (eg. chr1, chr2, ..., chr22, chrX, chrY and chrM)pos:
Location within the chromosome. The location is also indexed using the chromsome name as a field name. Thus, the query stringchrom:chr17 AND pos:7675189
can be written aschr17:7675189
(recommended).effect:
Expected effect of the variant as determined by SnpEff. There is a table with a list of possible values. The_variant
suffix is ignored for those values that have it.gt:
: Genotype of the variant. Can be one of0/1
,1/0
or1/1
.dp:
: Depth at the variant location.vd:
: Depth of the alternate allele at the variant location.af:
: Allele frequency of the alternate allele.
Notes about the targeted genotyping variants
The targeted genotyping index behaves a bit differently than the other indexes since it also contain information where the genotype is 0/0
. When searching this index, the default is to automatically exclude entries where the genotype is 0/0
. Otherwise, for example, a search for a gene would return results for all raw bioassays.
The exception is when the query string is searching on fields that are related to the genotype: gt
, dp
, vd
and af
. In this case the 0/0
entries are not excluded.
Notes about the OncoArray and imputed genotyping indexes
These two indexes also behaves differently than the other indexes. Since there are several thousands and millions of variants variants that have been genotyped for each raw bioassay it is not possible to create a single index with all information. It has to be split into one index for the "design" that contain information and gene annotations about the variants, and one index sample-specific information. The index doesn't contain any information information that is per raw bioassay and variant.
Thus, gt
is the only genotype-related field that is searchable and it is only possible to use it once in the query.
The imputed index has some extra fields that are searchable:
dr2:
: Dosage R-Squared which is a value between 0 and 1 that indicate how good the imputation results are for a variant across all samples.svtype:
: Used for structural variants.
Timeouts
The query against the Lucene database has a default timeout of 30 seconds. If complete results and information about the variants can't be loaded in that timeout the query will stop and only the results that have been gathered so far are used when matching against raw bioassays. A message is displayed in the column header:
The query did not finish within 30 seconds. Showing results based on 4.3M hits out of 56.1M total hits.
It is possible to change the timeout by appending #TT
to the query string, where TT
is the desired timeout. For example: chr1#120
will increase the timeout to 120 seconds when searching for all variants in chromosome 1. The timeout is not allowed to be longer than 600 seconds.