Description
GnomAD 4 used the whole-genome data from gnomAD 3 and added more exomes.
The current v4.1 release includes a fix for the allele number
issue.
The v4.1 track shows variants from 807,162 individuals, including 730,947
exomes and 76,215 genomes. This includes the 76,156 genomes from the gnomAD v3.1.2 release as well
as new exome data from 416,555 UK Biobank individuals. For more detailed information on gnomAD
v4.1, see the related blog post.
Display Conventions and Configuration
Following the conventions on the gnomAD browser, items are shaded according to their Annotation
type:
| pLoF | |
| Missense | |
| Synonymous | |
| Other | |
Mouse hover on an item will display the following details about each variant:
- Position
- Total Allele Frequency (TotalAF)
- Genes
- Annotation
- FILTER tags from VCF (FILTER)
- Population with maximum AF (PopMaxAF)
- Homozygous Individuals
- Homozygous Individuals in XX samples (chrX and chrY only)
- Hemizygous Individuals (chrX and chrY only)
Clicking on an item will display additional details on the variant, including a population frequency
table showing allele count in each sub-population.
Label Options
To maintain consistency with the gnomAD website, variants are by default labeled according
to their chromosomal start position followed by the reference and alternate alleles,
for example "chr1-1234-T-CAG". dbSNP rsID's are also available as an additional
label, if the variant is present in dbSnp.
Filtering Options
Three filters are available for this track:
- FILTER: Used to exclude/include variants that failed Random Forest
(RF), Inbreeding Coefficient (Inbreeding Coeff), or Allele Count (AC0) filters. The
PASS option is used to include/exclude variants that pass all of the RF,
InbreedingCoeff, and AC0 filters, as denoted in the original VCF.
- Annotation type: Used to exclude/include variants that are annotated as
Probability Loss of Function (pLoF), Missense, Synonymous, or Other, as
annotated by VEP.
- Variant Type: Used to exclude/include variants according to the type of
variation, as annotated by VEP.
There is one additional configurable filter on the minimum minor allele frequency.
UCSC Methods
The gnomAD v4.1 data is unfiltered.
For the full steps used to create the gnomAD tracks at UCSC, please see the
hg38 gnomad makedoc.
Data Access
The raw data can be explored interactively with the
Table Browser, or the Data Integrator. For
automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that
can be downloaded from our download server, subject
to the conditions set forth by the gnomAD consortium (see below).
The underlying bigBed only contains enough information necessary to use the track in the browser.
The extra data like VEP annotations and CADD scores are available in the
same directory
as the bigBed but in the files details.tab.gz and details.tab.gz.gzi. The
details.tab.gz contains the gzip compressed extra data in JSON format, and the .gzi file is
available to speed searching of this data. Each variant has an associated md5sum in the name field
of the bigBed which can be used along with the _dataOffset and _dataLen fields to get the
associated external data. For example:
# find an item of interest, the last two fields are _dataOffset and _dataLen:
bigBedToBed genomes.bb stdout | head -4 | tail -1
chr1 12416 12417 854246d79dc5d02dcdbd5f5438542b6e [..omitted..] 67293 902
# use _dataOffset and _dataLen (add one to _dataLen for the newline character):
bgzip -b 67293 -s 903 gnomad.v4.1.genomes.details.tab.gz
854246d79dc5d02dcdbd5f5438542b6e {"DDX11L1": {"cons": ["non_coding_transcript_variant"...
The data can also be found directly from the gnomAD downloads page. Please refer to
our mailing list archives for questions, or our Data Access FAQ for more information.
Credits
Thanks to the Genome Aggregation
Database Consortium for making these data available. The data are released under the Creative Commons Zero Public Domain Dedication as described here.
Please note that some annotations within the provided files may have restrictions on usage. See here for more information.
References
Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
Gauthier LD et al.
A genomic mutational constraint map using variation in 76,156 human genomes.
Nature. 2024 Jan;625(7993):92-100.
PMID: 38057664
Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, Collins RL, Laricchia KM, Ganna
A, Birnbaum DP et al.
The mutational constraint spectrum quantified from variation in 141,456 humans.
Nature. 2020 May;581(7809):434-443.
PMID: 32461654; PMC: PMC7334197
Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O'Donnell-Luria AH, Ware JS, Hill
AJ, Cummings BB et al.
Analysis of protein-coding
genetic variation in 60,706 humans. Nature. 2016 Aug 17;536(7616):285-91.
PMID: 27535533;
PMC: PMC5018207