--------------------------------------------------------------- hg38.trackDb.html : Differences exist between hgwbeta and hgw2 (RR fields taken from public MySql server, not individual machine) 28822,28832d28821 < gnomadConstraint | With the gnomAD v4.1 data release, the v4 Pre-Release track has been replaced with the gnomAD v4.1 < gnomadConstraint | track. The v4.1 release includes a fix for the allele number < gnomadConstraint | < gnomadConstraint | issue. The v4.1 track shows variants from 807,162 individuals, including 730,947 < gnomadConstraint | exomes and 76,215 genomes. This includes the 76,156 genomes from the gnomAD v3.1.2 release as well < gnomadConstraint | as new exome data from 416,555 UK Biobank individuals. For more detailed information on gnomAD < gnomadConstraint | v4.1, see the related blog post. < gnomadConstraint | < gnomadConstraint |
28885,28895d28873 < gnomadConstraint |
On hg38 only, a subtrack "Gnomad mutational constraint" aka "Genome < gnomadConstraint | non-coding constraint of haploinsufficient variation (Gnocchi)" captures the < gnomadConstraint | depletion of variation caused by purifying natural selection. < gnomadConstraint | This is similar to negative selection on loss-of-function (LoF) for genes, but < gnomadConstraint | can be calculated for non-coding regions, too. Briefly, for any 1kbp window in < gnomadConstraint | the genome, a model based on trinucleotide sequence context, base-level < gnomadConstraint | methylation, and regional genomic features predicts expected number of mutations, < gnomadConstraint | and compares this number to the observed number of mutations using a Z-score (see Chen et al 2024 < gnomadConstraint | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadConstraint | as there are no mutations available for chrX, they are more speculative than the ones on the autosomes.
< gnomadConstraint | 28904,28920d28881 < gnomadConstraint |< gnomadConstraint | The gnomAD v4.1 track version follows the same conventions and configuration as the v3.1.1 track, < gnomadConstraint | except for mouse hovering items. Mouse hover on an item will display the following details about < gnomadConstraint | each variant:
< gnomadConstraint |
< gnomadConstraint | Please note that some annotations within the provided files may have restrictions on usage. See here for more information.
---
> gnomadConstraint | href="https://opendatacommons.org/licenses/odbl/1.0/" target="_blank">ODC Open Database License
> gnomadConstraint | (ODbL) as described here.
29119,29125c29078,29080
< gnomadConstraint | Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
< gnomadConstraint | Gauthier LD et al.
< gnomadConstraint |
< gnomadConstraint | A genomic mutational constraint map using variation in 76,156 human genomes.
< gnomadConstraint | Nature. 2024 Jan;625(7993):92-100.
< gnomadConstraint | PMID: 38057664
< gnomadConstraint | (We added the data in 2021, then later referenced the 2022 Biorxiv preprint, in which the track was not called "Gnocchi" yet)
---
> gnomadConstraint | Chen S, Francioli L, Goodrich J, Collins R, Wang Q, Alfoldi J, Watts N, Vittal C, Gauthier L, Poterba T, Wilson M
> gnomadConstraint |
> gnomadConstraint | A genome-wide mutational constraint map quantified from variation in 76,156 human genomes. Biorxiv 2022
29130,29438d29084
< gnomadExomesVariantsV4_1 | html
< gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | With the gnomAD v4.1 data release, the v4 Pre-Release track has been replaced with the gnomAD v4.1 < gnomadExomesVariantsV4_1 | track. The v4.1 release includes a fix for the allele number < gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 | issue. The v4.1 track shows variants from 807,162 individuals, including 730,947 < gnomadExomesVariantsV4_1 | exomes and 76,215 genomes. This includes the 76,156 genomes from the gnomAD v3.1.2 release as well < gnomadExomesVariantsV4_1 | as new exome data from 416,555 UK Biobank individuals. For more detailed information on gnomAD < gnomadExomesVariantsV4_1 | v4.1, see the related blog post. < gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | The gnomAD v3.1 track shows variants from 76,156 whole genomes (and no exomes), all mapped to the < gnomadExomesVariantsV4_1 | GRCh38/hg38 reference sequence. 4,454 genomes were added to the number of genomes in the previous < gnomadExomesVariantsV4_1 | v3 release. For more detailed information on gnomAD v3.1, see the related blog post.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | The gnomAD v3.1.1 track contains the same underlying data as v3.1, but < gnomadExomesVariantsV4_1 | with minor corrections to the VEP annotations and dbSNP rsIDs. On the UCSC side, we have now < gnomadExomesVariantsV4_1 | included the mitochondrial chromosome data that was released as part of gnomAD v3.1 (but after < gnomadExomesVariantsV4_1 | the UCSC version of the track was released). For more information about gnomAD v3.1.1, please < gnomadExomesVariantsV4_1 | see the related < gnomadExomesVariantsV4_1 | changelog.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |GnomAD Genome Mutational Constraint is based on v3.1.2 and is available only on hg38. < gnomadExomesVariantsV4_1 | It shows the reduced variation caused by purifying < gnomadExomesVariantsV4_1 | natural selection. This is similar to negative selection on loss-of-function < gnomadExomesVariantsV4_1 | (LoF) for genes, but can be calculated for non-coding regions too. < gnomadExomesVariantsV4_1 | Positive values are red and reflect stronger mutation constraint (and less variation), indicating < gnomadExomesVariantsV4_1 | higher natural selection pressure in a region. Negative values are green and < gnomadExomesVariantsV4_1 | reflect lower mutation constraint < gnomadExomesVariantsV4_1 | (and more variation), indicating less selection pressure and less functional effect. < gnomadExomesVariantsV4_1 | Briefly, for any 1kbp window in < gnomadExomesVariantsV4_1 | the genome, a model based on trinucleotide sequence context, base-level < gnomadExomesVariantsV4_1 | methylation, and regional genomic features predicts expected number of mutations, < gnomadExomesVariantsV4_1 | and compares this number to the observed number of mutations using a Z-score (see preprint < gnomadExomesVariantsV4_1 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadExomesVariantsV4_1 | as there are no de novo mutation data available on chrX (for estimating the effects of regional < gnomadExomesVariantsV4_1 | genomic features on mutation rates), they are more speculative than the ones on the autosomes.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | The gnomAD Predicted Constraint Metrics track contains metrics of pathogenicity per-gene as < gnomadExomesVariantsV4_1 | predicted for gnomAD v2.1.1 and identifies genes subject to strong selection against various < gnomadExomesVariantsV4_1 | classes of mutation. This includes data on both the gene and transcript level.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | The gnomAD v2 tracks show variants from 125,748 exomes and 15,708 whole genomes, all mapped to < gnomadExomesVariantsV4_1 | the GRCh37/hg19 reference sequence and lifted to the GRCh38/hg38 assembly. The data originate < gnomadExomesVariantsV4_1 | from 141,456 unrelated individuals sequenced as part of various population-genetic and < gnomadExomesVariantsV4_1 | disease-specific studies < gnomadExomesVariantsV4_1 | collected by the Genome Aggregation Database (gnomAD), release 2.1.1. < gnomadExomesVariantsV4_1 | Raw data from all studies have been reprocessed through a unified pipeline and jointly < gnomadExomesVariantsV4_1 | variant-called to increase consistency across projects. For more information on the processing < gnomadExomesVariantsV4_1 | pipeline and population annotations, see the following blog post < gnomadExomesVariantsV4_1 | and the 2.1.1 README.
< gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | gnomAD v2 data are based on the GRCh37/hg19 assembly. These tracks display the < gnomadExomesVariantsV4_1 | GRCh38/hg38 lift-over provided by gnomAD on their downloads site. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |On hg38 only, a subtrack "Gnomad mutational constraint" aka "Genome < gnomadExomesVariantsV4_1 | non-coding constraint of haploinsufficient variation (Gnocchi)" captures the < gnomadExomesVariantsV4_1 | depletion of variation caused by purifying natural selection. < gnomadExomesVariantsV4_1 | This is similar to negative selection on loss-of-function (LoF) for genes, but < gnomadExomesVariantsV4_1 | can be calculated for non-coding regions, too. Briefly, for any 1kbp window in < gnomadExomesVariantsV4_1 | the genome, a model based on trinucleotide sequence context, base-level < gnomadExomesVariantsV4_1 | methylation, and regional genomic features predicts expected number of mutations, < gnomadExomesVariantsV4_1 | and compares this number to the observed number of mutations using a Z-score (see Chen et al 2024 < gnomadExomesVariantsV4_1 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadExomesVariantsV4_1 | as there are no mutations available for chrX, they are more speculative than the ones on the autosomes.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | For questions on the gnomAD data, also see the gnomAD FAQ.
< gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | More details on the Variant type(s) can be found on the Sequence Ontology page.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | The gnomAD v4.1 track version follows the same conventions and configuration as the v3.1.1 track, < gnomadExomesVariantsV4_1 | except for mouse hovering items. Mouse hover on an item will display the following details about < gnomadExomesVariantsV4_1 | each variant:
< gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | The gnomAD v3.1.1 track version follows the same conventions and configuration as the v3.1 track, < gnomadExomesVariantsV4_1 | except as noted below.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | By default, a maximum of 50,000 variants can be displayed at a time (before applying the filters < gnomadExomesVariantsV4_1 | described below), before the track switches to dense display mode. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Mouse hover on an item will display many details about each variant, including the affected gene(s), < gnomadExomesVariantsV4_1 | the variant type, and annotation (missense, synonymous, etc). < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Clicking on an item will display additional details on the variant, including a population frequency < gnomadExomesVariantsV4_1 | table showing allele count in each sub-population. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Following the conventions on the gnomAD browser, items are shaded according to their Annotation < gnomadExomesVariantsV4_1 | type: < gnomadExomesVariantsV4_1 |
pLoF | |
Missense | |
Synonymous | |
Other |
< gnomadExomesVariantsV4_1 | To maintain consistency with the gnomAD website, variants are by default labeled according < gnomadExomesVariantsV4_1 | to their chromosomal start position followed by the reference and alternate alleles, < gnomadExomesVariantsV4_1 | for example "chr1-1234-T-CAG". dbSNP rsID's are also available as an additional < gnomadExomesVariantsV4_1 | label, if the variant is present in dbSnp. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Three filters are available for these tracks: < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | The gnomAD v2.1.1 track follows the standard display and configuration options available for < gnomadExomesVariantsV4_1 | VCF tracks, briefly explained below. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Four filters are available for these tracks, the same as the underlying VCF: < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | There are two additional filters available, one for the minimum minor allele frequency, and a configurable filter on the QUAL score. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | The gnomAD v3.1.1 and v4.1 data is unfiltered.
< gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | For the v3.1 update only, in order to cut < gnomadExomesVariantsV4_1 | down on the amount of displayed data, the following variant < gnomadExomesVariantsV4_1 | types have been filtered out, but are still viewable in the gnomAD browser: < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | For the full steps used to create the gnomAD tracks at UCSC, please see the < gnomadExomesVariantsV4_1 | hg38 gnomad makedoc. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | The raw data can be explored interactively with the < gnomadExomesVariantsV4_1 | Table Browser, or the Data Integrator. For < gnomadExomesVariantsV4_1 | automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that < gnomadExomesVariantsV4_1 | can be downloaded from our download server, subject < gnomadExomesVariantsV4_1 | to the conditions set forth by the gnomAD consortium (see below). Variant VCFs can be found in the < gnomadExomesVariantsV4_1 | vcf < gnomadExomesVariantsV4_1 | subdirectory. The < gnomadExomesVariantsV4_1 | v3.1, < gnomadExomesVariantsV4_1 | v3.1.1, and < gnomadExomesVariantsV4_1 | v4.1 variants can < gnomadExomesVariantsV4_1 | be found in a special directory as they have been transformed from the underlying VCF.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | For the v3.1.1 and v4.1 variants in particular, the underlying bigBed only contains enough information < gnomadExomesVariantsV4_1 | necessary to use the track in the browser. The extra data like VEP annotations and CADD scores are < gnomadExomesVariantsV4_1 | available in the same directory < gnomadExomesVariantsV4_1 | as the bigBed but in the files details.tab.gz and details.tab.gz.gzi. The < gnomadExomesVariantsV4_1 | details.tab.gz contains the gzip compressed extra data in JSON format, and the .gzi file is < gnomadExomesVariantsV4_1 | available to speed searching of this data. Each variant has an associated md5sum in the name field < gnomadExomesVariantsV4_1 | of the bigBed which can be used along with the _dataOffset and _dataLen fields to get the < gnomadExomesVariantsV4_1 | associated external data, as show below: < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | # find item of interest: < gnomadExomesVariantsV4_1 | bigBedToBed genomes.bb stdout | head -4 | tail -1 < gnomadExomesVariantsV4_1 | chr1 12416 12417 854246d79dc5d02dcdbd5f5438542b6e [..omitted for brevity..] chr1-12417-G-A 67293 902 < gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 | # use the final two fields, _dataOffset and _dataLen (add one to _dataLen to include a newline), to get the extra data: < gnomadExomesVariantsV4_1 | bgzip -b 67293 -s 903 gnomad.v3.1.1.details.tab.gz < gnomadExomesVariantsV4_1 | 854246d79dc5d02dcdbd5f5438542b6e {"DDX11L1": {"cons": ["non_coding_transcript_variant", [..omitted for brevity..] < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | The data can also be found directly from the gnomAD downloads page. Please refer to < gnomadExomesVariantsV4_1 | our mailing list archives for questions, or our Data Access FAQ for more information.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |The mutational constraints score was updated in October 2022 from a previous, < gnomadExomesVariantsV4_1 | now deprecated, pre-publication version. The old version can be found in our < gnomadExomesVariantsV4_1 | archive < gnomadExomesVariantsV4_1 | directory on the download server. It can be loaded by copying the URL into < gnomadExomesVariantsV4_1 | our "Custom tracks" input box.
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Thanks to the Genome Aggregation < gnomadExomesVariantsV4_1 | Database Consortium for making these data available. The data are released under the Creative Commons Zero Public Domain Dedication as described here. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Please note that some annotations within the provided files may have restrictions on usage. See here for more information. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | < gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alfoldi J, Wang Q, Collins RL, Laricchia KM, < gnomadExomesVariantsV4_1 | Ganna A, Birnbaum DP et al. < gnomadExomesVariantsV4_1 | Variation across < gnomadExomesVariantsV4_1 | 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human < gnomadExomesVariantsV4_1 | protein-coding genes. doi: https://doi.org/10.1101/531210. < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 |< gnomadExomesVariantsV4_1 | Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O'Donnell-Luria AH, Ware JS, Hill < gnomadExomesVariantsV4_1 | AJ, Cummings BB et al. < gnomadExomesVariantsV4_1 | Analysis of protein-coding < gnomadExomesVariantsV4_1 | genetic variation in 60,706 humans. Nature. 2016 Aug 17;536(7616):285-91. < gnomadExomesVariantsV4_1 | PMID: 27535533; < gnomadExomesVariantsV4_1 | PMC: PMC5018207 < gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
< gnomadExomesVariantsV4_1 | Gauthier LD et al.
< gnomadExomesVariantsV4_1 |
< gnomadExomesVariantsV4_1 | A genomic mutational constraint map using variation in 76,156 human genomes.
< gnomadExomesVariantsV4_1 | Nature. 2024 Jan;625(7993):92-100.
< gnomadExomesVariantsV4_1 | PMID: 38057664
< gnomadExomesVariantsV4_1 | (We added the data in 2021, then later referenced the 2022 Biorxiv preprint, in which the track was not called "Gnocchi" yet)
< gnomadExomesVariantsV4_1 |
> gnomadGenomesVariantsV3 | The gnomAD v3 track shows variants and derived information from 71,702 whole genomes (and no exomes), all mapped to the > gnomadGenomesVariantsV3 | GRCh38/hg38 reference sequence. Most of the genomes from v2 are included in v3. For more detailed > gnomadGenomesVariantsV3 | information on gnomAD v3, see the related gnomadGenomesVariantsV3 | href="https://macarthurlab.org/2019/10/16/gnomad-v3-0/">blog post.
> gnomadGenomesVariantsV3 | > gnomadGenomesVariantsV3 |> gnomadGenomesVariantsV3 | The gnomAD v2 tracks show variants from 125,748 exomes and 15,708 whole genomes, all mapped to > gnomadGenomesVariantsV3 | the GRCh37/hg19 reference sequence and lifted to the GRCh38/hg38 assembly. The data originate > gnomadGenomesVariantsV3 | from 141,456 unrelated individuals sequenced as part of various population-genetic and > gnomadGenomesVariantsV3 | disease-specific studies > gnomadGenomesVariantsV3 | collected by the gnomadGenomesVariantsV3 | href="https://gnomad.broadinstitute.org/">Genome Aggregation Database (gnomAD), release 2.1.1. > gnomadGenomesVariantsV3 | Raw data from all studies have been reprocessed through a unified pipeline and jointly > gnomadGenomesVariantsV3 | variant-called to increase consistency across projects. For more information on the processing > gnomadGenomesVariantsV3 | pipeline and population annotations, see the following gnomadGenomesVariantsV3 | href="https://macarthurlab.org/2017/02/27/the-genome-aggregation-database-gnomad">blog post > gnomadGenomesVariantsV3 | and the 2.1.1 gnomadGenomesVariantsV3 | target="_blank">README.
> gnomadGenomesVariantsV3 |> gnomadGenomesVariantsV3 | gnomAD v2 data are based on the GRCh37/hg19 assembly. These tracks display the > gnomadGenomesVariantsV3 | GRCh38/hg38 lift-over provided by gnomAD on their downloads site. > gnomadGenomesVariantsV3 |
> gnomadGenomesVariantsV3 | > gnomadGenomesVariantsV3 |On hg38 only, a subtrack "Gnomad mutational constraint" aka "Genome > gnomadGenomesVariantsV3 | non-coding constraint of haploinsufficient variation (Gnocchi)" captures the > gnomadGenomesVariantsV3 | depletion of variation caused by purifying natural selection. > gnomadGenomesVariantsV3 | This is similar to negative selection on loss-of-function (LoF) for genes, but > gnomadGenomesVariantsV3 | can be calculated for non-coding regions, too. Briefly, for any 1kbp window in > gnomadGenomesVariantsV3 | the genome, a model based on trinucleotide sequence context, base-level > gnomadGenomesVariantsV3 | methylation, and regional genomic features predicts expected number of mutations, > gnomadGenomesVariantsV3 | and compares this number to the observed number of mutations using a Z-score (see Chen et al 2024 > gnomadGenomesVariantsV3 | in the Reference section for details). The chrX scores were added as received from the authors, > gnomadGenomesVariantsV3 | as there are no mutations available for chrX, they are more speculative than the ones on the autosomes.
> gnomadGenomesVariantsV3 | > gnomadGenomesVariantsV3 |> gnomadGenomesVariantsV3 | For questions on the gnomAD data, also see the gnomadGenomesVariantsV3 | href="https://gnomad.broadinstitute.org/faq">gnomAD FAQ.
> gnomadGenomesVariantsV3 | > gnomadGenomesVariantsV3 |> gnomadGenomesVariantsV3 | The raw data can be explored interactively with the > gnomadGenomesVariantsV3 | Table Browser, or the Data Integrator. For > gnomadGenomesVariantsV3 | automated analysis, the data may be queried from our gnomadGenomesVariantsV3 | href="/goldenPath/help/api.html">REST API, and the genome annotations are stored in files that > gnomadGenomesVariantsV3 | can be downloaded from our gnomadGenomesVariantsV3 | href="http://hgdownload.soe.ucsc.edu/gbdb/hg38/gnomAD/" target="_blank">download server, subject > gnomadGenomesVariantsV3 | to the conditions set forth by the gnomAD consortium (see below). Coverage values > gnomadGenomesVariantsV3 | and constraint scores for the genome are in bigWig files in > gnomadGenomesVariantsV3 | the coverage/ subdirectory. Variant VCFs can be found in the vcf/ subdirectory.
> gnomadGenomesVariantsV3 |> gnomadGenomesVariantsV3 | The data can also be found directly from the gnomAD gnomadGenomesVariantsV3 | href="https://gnomad.broadinstitute.org/downloads">downloads page. Please refer to > gnomadGenomesVariantsV3 | our gnomadGenomesVariantsV3 | target="_blank">mailing list archives for questions, or our gnomadGenomesVariantsV3 | href="../FAQ/FAQdownloads.html#download36">Data Access FAQ for more information.
> gnomadGenomesVariantsV3 | > gnomadGenomesVariantsV3 |The mutational constraints score ("Gnocchi") was updated in October 2022 from a previous, > gnomadGenomesVariantsV3 | now deprecated, pre-publication version. The old version can be found in our > gnomadGenomesVariantsV3 | archive > gnomadGenomesVariantsV3 | directory on the download server. It can be loaded by copying the URL into > gnomadGenomesVariantsV3 | our "Custom tracks" input box.
> gnomadGenomesVariantsV3 | > gnomadGenomesVariantsV3 |> gnomadGenomesVariantsV3 | Thanks to the Genome Aggregation > gnomadGenomesVariantsV3 | Database Consortium for making these data available. The data are released under the gnomadGenomesVariantsV3 | href="https://opendatacommons.org/licenses/odbl/1.0/" target="_blank">ODC Open Database License > gnomadGenomesVariantsV3 | (ODbL) as described here. > gnomadGenomesVariantsV3 |
> gnomadGenomesVariantsV3 | > gnomadGenomesVariantsV3 |> gnomadGenomesVariantsV3 | Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alfoldi J, Wang Q, Collins RL, Laricchia KM, > gnomadGenomesVariantsV3 | Ganna A, Birnbaum DP et al. > gnomadGenomesVariantsV3 | Variation across > gnomadGenomesVariantsV3 | 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human > gnomadGenomesVariantsV3 | protein-coding genes. doi: https://doi.org/10.1101/531210. > gnomadGenomesVariantsV3 |
> gnomadGenomesVariantsV3 |> gnomadGenomesVariantsV3 | Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O'Donnell-Luria AH, Ware JS, Hill > gnomadGenomesVariantsV3 | AJ, Cummings BB et al. > gnomadGenomesVariantsV3 | Analysis of protein-coding > gnomadGenomesVariantsV3 | genetic variation in 60,706 humans. Nature. 2016 Aug 17;536(7616):285-91. > gnomadGenomesVariantsV3 | PMID: 27535533; > gnomadGenomesVariantsV3 | PMC: PMC5018207 > gnomadGenomesVariantsV3 |
> gnomadGenomesVariantsV3 |
> gnomadGenomesVariantsV3 | Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
> gnomadGenomesVariantsV3 | Gauthier LD et al.
> gnomadGenomesVariantsV3 |
> gnomadGenomesVariantsV3 | A genomic mutational constraint map using variation in 76,156 human genomes.
> gnomadGenomesVariantsV3 | Nature. 2024 Jan;625(7993):92-100.
> gnomadGenomesVariantsV3 | PMID: 38057664
> gnomadGenomesVariantsV3 | (We added the data in 2021, then later referenced the 2022 Biorxiv preprint, in which the track was not called "Gnocchi" yet)
> gnomadGenomesVariantsV3 |
29509,29519d29253 < gnomadGenomesVariantsV3_1 |
On hg38 only, a subtrack "Gnomad mutational constraint" aka "Genome < gnomadGenomesVariantsV3_1 | non-coding constraint of haploinsufficient variation (Gnocchi)" captures the < gnomadGenomesVariantsV3_1 | depletion of variation caused by purifying natural selection. < gnomadGenomesVariantsV3_1 | This is similar to negative selection on loss-of-function (LoF) for genes, but < gnomadGenomesVariantsV3_1 | can be calculated for non-coding regions, too. Briefly, for any 1kbp window in < gnomadGenomesVariantsV3_1 | the genome, a model based on trinucleotide sequence context, base-level < gnomadGenomesVariantsV3_1 | methylation, and regional genomic features predicts expected number of mutations, < gnomadGenomesVariantsV3_1 | and compares this number to the observed number of mutations using a Z-score (see Chen et al 2024 < gnomadGenomesVariantsV3_1 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadGenomesVariantsV3_1 | as there are no mutations available for chrX, they are more speculative than the ones on the autosomes.
< gnomadGenomesVariantsV3_1 | 29528,29544d29261 < gnomadGenomesVariantsV3_1 |< gnomadGenomesVariantsV3_1 | The gnomAD v4.1 track version follows the same conventions and configuration as the v3.1.1 track, < gnomadGenomesVariantsV3_1 | except for mouse hovering items. Mouse hover on an item will display the following details about < gnomadGenomesVariantsV3_1 | each variant:
< gnomadGenomesVariantsV3_1 |
< gnomadGenomesVariantsV3_1 | Please note that some annotations within the provided files may have restrictions on usage. See here for more information.
---
> gnomadGenomesVariantsV3_1 | href="https://opendatacommons.org/licenses/odbl/1.0/" target="_blank">ODC Open Database License
> gnomadGenomesVariantsV3_1 | (ODbL) as described here.
29743,29749c29458,29460
< gnomadGenomesVariantsV3_1 | Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
< gnomadGenomesVariantsV3_1 | Gauthier LD et al.
< gnomadGenomesVariantsV3_1 |
< gnomadGenomesVariantsV3_1 | A genomic mutational constraint map using variation in 76,156 human genomes.
< gnomadGenomesVariantsV3_1 | Nature. 2024 Jan;625(7993):92-100.
< gnomadGenomesVariantsV3_1 | PMID: 38057664
< gnomadGenomesVariantsV3_1 | (We added the data in 2021, then later referenced the 2022 Biorxiv preprint, in which the track was not called "Gnocchi" yet)
---
> gnomadGenomesVariantsV3_1 | Chen S, Francioli L, Goodrich J, Collins R, Wang Q, Alfoldi J, Watts N, Vittal C, Gauthier L, Poterba T, Wilson M
> gnomadGenomesVariantsV3_1 |
> gnomadGenomesVariantsV3_1 | A genome-wide mutational constraint map quantified from variation in 76,156 human genomes. Biorxiv 2022
29755,29765d29465
< gnomadGenomesVariantsV3_1_1 | With the gnomAD v4.1 data release, the v4 Pre-Release track has been replaced with the gnomAD v4.1
< gnomadGenomesVariantsV3_1_1 | track. The v4.1 release includes a fix for the allele number
< gnomadGenomesVariantsV3_1_1 |
< gnomadGenomesVariantsV3_1_1 | issue. The v4.1 track shows variants from 807,162 individuals, including 730,947
< gnomadGenomesVariantsV3_1_1 | exomes and 76,215 genomes. This includes the 76,156 genomes from the gnomAD v3.1.2 release as well
< gnomadGenomesVariantsV3_1_1 | as new exome data from 416,555 UK Biobank individuals. For more detailed information on gnomAD
< gnomadGenomesVariantsV3_1_1 | v4.1, see the related blog post.
< gnomadGenomesVariantsV3_1_1 |
< gnomadGenomesVariantsV3_1_1 |
29818,29828d29517 < gnomadGenomesVariantsV3_1_1 |
On hg38 only, a subtrack "Gnomad mutational constraint" aka "Genome < gnomadGenomesVariantsV3_1_1 | non-coding constraint of haploinsufficient variation (Gnocchi)" captures the < gnomadGenomesVariantsV3_1_1 | depletion of variation caused by purifying natural selection. < gnomadGenomesVariantsV3_1_1 | This is similar to negative selection on loss-of-function (LoF) for genes, but < gnomadGenomesVariantsV3_1_1 | can be calculated for non-coding regions, too. Briefly, for any 1kbp window in < gnomadGenomesVariantsV3_1_1 | the genome, a model based on trinucleotide sequence context, base-level < gnomadGenomesVariantsV3_1_1 | methylation, and regional genomic features predicts expected number of mutations, < gnomadGenomesVariantsV3_1_1 | and compares this number to the observed number of mutations using a Z-score (see Chen et al 2024 < gnomadGenomesVariantsV3_1_1 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadGenomesVariantsV3_1_1 | as there are no mutations available for chrX, they are more speculative than the ones on the autosomes.
< gnomadGenomesVariantsV3_1_1 | 29837,29853d29525 < gnomadGenomesVariantsV3_1_1 |< gnomadGenomesVariantsV3_1_1 | The gnomAD v4.1 track version follows the same conventions and configuration as the v3.1.1 track, < gnomadGenomesVariantsV3_1_1 | except for mouse hovering items. Mouse hover on an item will display the following details about < gnomadGenomesVariantsV3_1_1 | each variant:
< gnomadGenomesVariantsV3_1_1 |
< gnomadGenomesVariantsV3_1_1 | Please note that some annotations within the provided files may have restrictions on usage. See here for more information.
---
> gnomadGenomesVariantsV3_1_1 | href="https://opendatacommons.org/licenses/odbl/1.0/" target="_blank">ODC Open Database License
> gnomadGenomesVariantsV3_1_1 | (ODbL) as described here.
30052,30058c29722,29724
< gnomadGenomesVariantsV3_1_1 | Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
< gnomadGenomesVariantsV3_1_1 | Gauthier LD et al.
< gnomadGenomesVariantsV3_1_1 |
< gnomadGenomesVariantsV3_1_1 | A genomic mutational constraint map using variation in 76,156 human genomes.
< gnomadGenomesVariantsV3_1_1 | Nature. 2024 Jan;625(7993):92-100.
< gnomadGenomesVariantsV3_1_1 | PMID: 38057664
< gnomadGenomesVariantsV3_1_1 | (We added the data in 2021, then later referenced the 2022 Biorxiv preprint, in which the track was not called "Gnocchi" yet)
---
> gnomadGenomesVariantsV3_1_1 | Chen S, Francioli L, Goodrich J, Collins R, Wang Q, Alfoldi J, Watts N, Vittal C, Gauthier L, Poterba T, Wilson M
> gnomadGenomesVariantsV3_1_1 |
> gnomadGenomesVariantsV3_1_1 | A genome-wide mutational constraint map quantified from variation in 76,156 human genomes. Biorxiv 2022
30061,30369d29726
< gnomadGenomesVariantsV4_1 | html
< gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | With the gnomAD v4.1 data release, the v4 Pre-Release track has been replaced with the gnomAD v4.1 < gnomadGenomesVariantsV4_1 | track. The v4.1 release includes a fix for the allele number < gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 | issue. The v4.1 track shows variants from 807,162 individuals, including 730,947 < gnomadGenomesVariantsV4_1 | exomes and 76,215 genomes. This includes the 76,156 genomes from the gnomAD v3.1.2 release as well < gnomadGenomesVariantsV4_1 | as new exome data from 416,555 UK Biobank individuals. For more detailed information on gnomAD < gnomadGenomesVariantsV4_1 | v4.1, see the related blog post. < gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | The gnomAD v3.1 track shows variants from 76,156 whole genomes (and no exomes), all mapped to the < gnomadGenomesVariantsV4_1 | GRCh38/hg38 reference sequence. 4,454 genomes were added to the number of genomes in the previous < gnomadGenomesVariantsV4_1 | v3 release. For more detailed information on gnomAD v3.1, see the related blog post.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | The gnomAD v3.1.1 track contains the same underlying data as v3.1, but < gnomadGenomesVariantsV4_1 | with minor corrections to the VEP annotations and dbSNP rsIDs. On the UCSC side, we have now < gnomadGenomesVariantsV4_1 | included the mitochondrial chromosome data that was released as part of gnomAD v3.1 (but after < gnomadGenomesVariantsV4_1 | the UCSC version of the track was released). For more information about gnomAD v3.1.1, please < gnomadGenomesVariantsV4_1 | see the related < gnomadGenomesVariantsV4_1 | changelog.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |GnomAD Genome Mutational Constraint is based on v3.1.2 and is available only on hg38. < gnomadGenomesVariantsV4_1 | It shows the reduced variation caused by purifying < gnomadGenomesVariantsV4_1 | natural selection. This is similar to negative selection on loss-of-function < gnomadGenomesVariantsV4_1 | (LoF) for genes, but can be calculated for non-coding regions too. < gnomadGenomesVariantsV4_1 | Positive values are red and reflect stronger mutation constraint (and less variation), indicating < gnomadGenomesVariantsV4_1 | higher natural selection pressure in a region. Negative values are green and < gnomadGenomesVariantsV4_1 | reflect lower mutation constraint < gnomadGenomesVariantsV4_1 | (and more variation), indicating less selection pressure and less functional effect. < gnomadGenomesVariantsV4_1 | Briefly, for any 1kbp window in < gnomadGenomesVariantsV4_1 | the genome, a model based on trinucleotide sequence context, base-level < gnomadGenomesVariantsV4_1 | methylation, and regional genomic features predicts expected number of mutations, < gnomadGenomesVariantsV4_1 | and compares this number to the observed number of mutations using a Z-score (see preprint < gnomadGenomesVariantsV4_1 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadGenomesVariantsV4_1 | as there are no de novo mutation data available on chrX (for estimating the effects of regional < gnomadGenomesVariantsV4_1 | genomic features on mutation rates), they are more speculative than the ones on the autosomes.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | The gnomAD Predicted Constraint Metrics track contains metrics of pathogenicity per-gene as < gnomadGenomesVariantsV4_1 | predicted for gnomAD v2.1.1 and identifies genes subject to strong selection against various < gnomadGenomesVariantsV4_1 | classes of mutation. This includes data on both the gene and transcript level.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | The gnomAD v2 tracks show variants from 125,748 exomes and 15,708 whole genomes, all mapped to < gnomadGenomesVariantsV4_1 | the GRCh37/hg19 reference sequence and lifted to the GRCh38/hg38 assembly. The data originate < gnomadGenomesVariantsV4_1 | from 141,456 unrelated individuals sequenced as part of various population-genetic and < gnomadGenomesVariantsV4_1 | disease-specific studies < gnomadGenomesVariantsV4_1 | collected by the Genome Aggregation Database (gnomAD), release 2.1.1. < gnomadGenomesVariantsV4_1 | Raw data from all studies have been reprocessed through a unified pipeline and jointly < gnomadGenomesVariantsV4_1 | variant-called to increase consistency across projects. For more information on the processing < gnomadGenomesVariantsV4_1 | pipeline and population annotations, see the following blog post < gnomadGenomesVariantsV4_1 | and the 2.1.1 README.
< gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | gnomAD v2 data are based on the GRCh37/hg19 assembly. These tracks display the < gnomadGenomesVariantsV4_1 | GRCh38/hg38 lift-over provided by gnomAD on their downloads site. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |On hg38 only, a subtrack "Gnomad mutational constraint" aka "Genome < gnomadGenomesVariantsV4_1 | non-coding constraint of haploinsufficient variation (Gnocchi)" captures the < gnomadGenomesVariantsV4_1 | depletion of variation caused by purifying natural selection. < gnomadGenomesVariantsV4_1 | This is similar to negative selection on loss-of-function (LoF) for genes, but < gnomadGenomesVariantsV4_1 | can be calculated for non-coding regions, too. Briefly, for any 1kbp window in < gnomadGenomesVariantsV4_1 | the genome, a model based on trinucleotide sequence context, base-level < gnomadGenomesVariantsV4_1 | methylation, and regional genomic features predicts expected number of mutations, < gnomadGenomesVariantsV4_1 | and compares this number to the observed number of mutations using a Z-score (see Chen et al 2024 < gnomadGenomesVariantsV4_1 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadGenomesVariantsV4_1 | as there are no mutations available for chrX, they are more speculative than the ones on the autosomes.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | For questions on the gnomAD data, also see the gnomAD FAQ.
< gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | More details on the Variant type(s) can be found on the Sequence Ontology page.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | The gnomAD v4.1 track version follows the same conventions and configuration as the v3.1.1 track, < gnomadGenomesVariantsV4_1 | except for mouse hovering items. Mouse hover on an item will display the following details about < gnomadGenomesVariantsV4_1 | each variant:
< gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | The gnomAD v3.1.1 track version follows the same conventions and configuration as the v3.1 track, < gnomadGenomesVariantsV4_1 | except as noted below.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | By default, a maximum of 50,000 variants can be displayed at a time (before applying the filters < gnomadGenomesVariantsV4_1 | described below), before the track switches to dense display mode. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Mouse hover on an item will display many details about each variant, including the affected gene(s), < gnomadGenomesVariantsV4_1 | the variant type, and annotation (missense, synonymous, etc). < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Clicking on an item will display additional details on the variant, including a population frequency < gnomadGenomesVariantsV4_1 | table showing allele count in each sub-population. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Following the conventions on the gnomAD browser, items are shaded according to their Annotation < gnomadGenomesVariantsV4_1 | type: < gnomadGenomesVariantsV4_1 |
pLoF | |
Missense | |
Synonymous | |
Other |
< gnomadGenomesVariantsV4_1 | To maintain consistency with the gnomAD website, variants are by default labeled according < gnomadGenomesVariantsV4_1 | to their chromosomal start position followed by the reference and alternate alleles, < gnomadGenomesVariantsV4_1 | for example "chr1-1234-T-CAG". dbSNP rsID's are also available as an additional < gnomadGenomesVariantsV4_1 | label, if the variant is present in dbSnp. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Three filters are available for these tracks: < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | The gnomAD v2.1.1 track follows the standard display and configuration options available for < gnomadGenomesVariantsV4_1 | VCF tracks, briefly explained below. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Four filters are available for these tracks, the same as the underlying VCF: < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | There are two additional filters available, one for the minimum minor allele frequency, and a configurable filter on the QUAL score. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | The gnomAD v3.1.1 and v4.1 data is unfiltered.
< gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | For the v3.1 update only, in order to cut < gnomadGenomesVariantsV4_1 | down on the amount of displayed data, the following variant < gnomadGenomesVariantsV4_1 | types have been filtered out, but are still viewable in the gnomAD browser: < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | For the full steps used to create the gnomAD tracks at UCSC, please see the < gnomadGenomesVariantsV4_1 | hg38 gnomad makedoc. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | The raw data can be explored interactively with the < gnomadGenomesVariantsV4_1 | Table Browser, or the Data Integrator. For < gnomadGenomesVariantsV4_1 | automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that < gnomadGenomesVariantsV4_1 | can be downloaded from our download server, subject < gnomadGenomesVariantsV4_1 | to the conditions set forth by the gnomAD consortium (see below). Variant VCFs can be found in the < gnomadGenomesVariantsV4_1 | vcf < gnomadGenomesVariantsV4_1 | subdirectory. The < gnomadGenomesVariantsV4_1 | v3.1, < gnomadGenomesVariantsV4_1 | v3.1.1, and < gnomadGenomesVariantsV4_1 | v4.1 variants can < gnomadGenomesVariantsV4_1 | be found in a special directory as they have been transformed from the underlying VCF.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | For the v3.1.1 and v4.1 variants in particular, the underlying bigBed only contains enough information < gnomadGenomesVariantsV4_1 | necessary to use the track in the browser. The extra data like VEP annotations and CADD scores are < gnomadGenomesVariantsV4_1 | available in the same directory < gnomadGenomesVariantsV4_1 | as the bigBed but in the files details.tab.gz and details.tab.gz.gzi. The < gnomadGenomesVariantsV4_1 | details.tab.gz contains the gzip compressed extra data in JSON format, and the .gzi file is < gnomadGenomesVariantsV4_1 | available to speed searching of this data. Each variant has an associated md5sum in the name field < gnomadGenomesVariantsV4_1 | of the bigBed which can be used along with the _dataOffset and _dataLen fields to get the < gnomadGenomesVariantsV4_1 | associated external data, as show below: < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | # find item of interest: < gnomadGenomesVariantsV4_1 | bigBedToBed genomes.bb stdout | head -4 | tail -1 < gnomadGenomesVariantsV4_1 | chr1 12416 12417 854246d79dc5d02dcdbd5f5438542b6e [..omitted for brevity..] chr1-12417-G-A 67293 902 < gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 | # use the final two fields, _dataOffset and _dataLen (add one to _dataLen to include a newline), to get the extra data: < gnomadGenomesVariantsV4_1 | bgzip -b 67293 -s 903 gnomad.v3.1.1.details.tab.gz < gnomadGenomesVariantsV4_1 | 854246d79dc5d02dcdbd5f5438542b6e {"DDX11L1": {"cons": ["non_coding_transcript_variant", [..omitted for brevity..] < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | The data can also be found directly from the gnomAD downloads page. Please refer to < gnomadGenomesVariantsV4_1 | our mailing list archives for questions, or our Data Access FAQ for more information.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |The mutational constraints score was updated in October 2022 from a previous, < gnomadGenomesVariantsV4_1 | now deprecated, pre-publication version. The old version can be found in our < gnomadGenomesVariantsV4_1 | archive < gnomadGenomesVariantsV4_1 | directory on the download server. It can be loaded by copying the URL into < gnomadGenomesVariantsV4_1 | our "Custom tracks" input box.
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Thanks to the Genome Aggregation < gnomadGenomesVariantsV4_1 | Database Consortium for making these data available. The data are released under the Creative Commons Zero Public Domain Dedication as described here. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Please note that some annotations within the provided files may have restrictions on usage. See here for more information. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | < gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alfoldi J, Wang Q, Collins RL, Laricchia KM, < gnomadGenomesVariantsV4_1 | Ganna A, Birnbaum DP et al. < gnomadGenomesVariantsV4_1 | Variation across < gnomadGenomesVariantsV4_1 | 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human < gnomadGenomesVariantsV4_1 | protein-coding genes. doi: https://doi.org/10.1101/531210. < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 |< gnomadGenomesVariantsV4_1 | Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O'Donnell-Luria AH, Ware JS, Hill < gnomadGenomesVariantsV4_1 | AJ, Cummings BB et al. < gnomadGenomesVariantsV4_1 | Analysis of protein-coding < gnomadGenomesVariantsV4_1 | genetic variation in 60,706 humans. Nature. 2016 Aug 17;536(7616):285-91. < gnomadGenomesVariantsV4_1 | PMID: 27535533; < gnomadGenomesVariantsV4_1 | PMC: PMC5018207 < gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
< gnomadGenomesVariantsV4_1 | Gauthier LD et al.
< gnomadGenomesVariantsV4_1 |
< gnomadGenomesVariantsV4_1 | A genomic mutational constraint map using variation in 76,156 human genomes.
< gnomadGenomesVariantsV4_1 | Nature. 2024 Jan;625(7993):92-100.
< gnomadGenomesVariantsV4_1 | PMID: 38057664
< gnomadGenomesVariantsV4_1 | (We added the data in 2021, then later referenced the 2022 Biorxiv preprint, in which the track was not called "Gnocchi" yet)
< gnomadGenomesVariantsV4_1 |
31009,31019d30342 < gnomadVariantsV2 |
On hg38 only, a subtrack "Gnomad mutational constraint" aka "Genome < gnomadVariantsV2 | non-coding constraint of haploinsufficient variation (Gnocchi)" captures the < gnomadVariantsV2 | depletion of variation caused by purifying natural selection. < gnomadVariantsV2 | This is similar to negative selection on loss-of-function (LoF) for genes, but < gnomadVariantsV2 | can be calculated for non-coding regions, too. Briefly, for any 1kbp window in < gnomadVariantsV2 | the genome, a model based on trinucleotide sequence context, base-level < gnomadVariantsV2 | methylation, and regional genomic features predicts expected number of mutations, < gnomadVariantsV2 | and compares this number to the observed number of mutations using a Z-score (see Chen et al 2024 < gnomadVariantsV2 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadVariantsV2 | as there are no mutations available for chrX, they are more speculative than the ones on the autosomes.
< gnomadVariantsV2 | 31028,31044d30350 < gnomadVariantsV2 |< gnomadVariantsV2 | The gnomAD v4.1 track version follows the same conventions and configuration as the v3.1.1 track, < gnomadVariantsV2 | except for mouse hovering items. Mouse hover on an item will display the following details about < gnomadVariantsV2 | each variant:
< gnomadVariantsV2 |
< gnomadVariantsV2 | Please note that some annotations within the provided files may have restrictions on usage. See here for more information.
---
> gnomadVariantsV2 | href="https://opendatacommons.org/licenses/odbl/1.0/" target="_blank">ODC Open Database License
> gnomadVariantsV2 | (ODbL) as described here.
31243,31249c30547,30549
< gnomadVariantsV2 | Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
< gnomadVariantsV2 | Gauthier LD et al.
< gnomadVariantsV2 |
< gnomadVariantsV2 | A genomic mutational constraint map using variation in 76,156 human genomes.
< gnomadVariantsV2 | Nature. 2024 Jan;625(7993):92-100.
< gnomadVariantsV2 | PMID: 38057664
< gnomadVariantsV2 | (We added the data in 2021, then later referenced the 2022 Biorxiv preprint, in which the track was not called "Gnocchi" yet)
---
> gnomadVariantsV2 | Chen S, Francioli L, Goodrich J, Collins R, Wang Q, Alfoldi J, Watts N, Vittal C, Gauthier L, Poterba T, Wilson M
> gnomadVariantsV2 |
> gnomadVariantsV2 | A genome-wide mutational constraint map quantified from variation in 76,156 human genomes. Biorxiv 2022
31252,31560d30551
< gnomadVariantsV4.1 | html
< gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | With the gnomAD v4.1 data release, the v4 Pre-Release track has been replaced with the gnomAD v4.1 < gnomadVariantsV4.1 | track. The v4.1 release includes a fix for the allele number < gnomadVariantsV4.1 | < gnomadVariantsV4.1 | issue. The v4.1 track shows variants from 807,162 individuals, including 730,947 < gnomadVariantsV4.1 | exomes and 76,215 genomes. This includes the 76,156 genomes from the gnomAD v3.1.2 release as well < gnomadVariantsV4.1 | as new exome data from 416,555 UK Biobank individuals. For more detailed information on gnomAD < gnomadVariantsV4.1 | v4.1, see the related blog post. < gnomadVariantsV4.1 | < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | The gnomAD v3.1 track shows variants from 76,156 whole genomes (and no exomes), all mapped to the < gnomadVariantsV4.1 | GRCh38/hg38 reference sequence. 4,454 genomes were added to the number of genomes in the previous < gnomadVariantsV4.1 | v3 release. For more detailed information on gnomAD v3.1, see the related blog post.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | The gnomAD v3.1.1 track contains the same underlying data as v3.1, but < gnomadVariantsV4.1 | with minor corrections to the VEP annotations and dbSNP rsIDs. On the UCSC side, we have now < gnomadVariantsV4.1 | included the mitochondrial chromosome data that was released as part of gnomAD v3.1 (but after < gnomadVariantsV4.1 | the UCSC version of the track was released). For more information about gnomAD v3.1.1, please < gnomadVariantsV4.1 | see the related < gnomadVariantsV4.1 | changelog.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |GnomAD Genome Mutational Constraint is based on v3.1.2 and is available only on hg38. < gnomadVariantsV4.1 | It shows the reduced variation caused by purifying < gnomadVariantsV4.1 | natural selection. This is similar to negative selection on loss-of-function < gnomadVariantsV4.1 | (LoF) for genes, but can be calculated for non-coding regions too. < gnomadVariantsV4.1 | Positive values are red and reflect stronger mutation constraint (and less variation), indicating < gnomadVariantsV4.1 | higher natural selection pressure in a region. Negative values are green and < gnomadVariantsV4.1 | reflect lower mutation constraint < gnomadVariantsV4.1 | (and more variation), indicating less selection pressure and less functional effect. < gnomadVariantsV4.1 | Briefly, for any 1kbp window in < gnomadVariantsV4.1 | the genome, a model based on trinucleotide sequence context, base-level < gnomadVariantsV4.1 | methylation, and regional genomic features predicts expected number of mutations, < gnomadVariantsV4.1 | and compares this number to the observed number of mutations using a Z-score (see preprint < gnomadVariantsV4.1 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadVariantsV4.1 | as there are no de novo mutation data available on chrX (for estimating the effects of regional < gnomadVariantsV4.1 | genomic features on mutation rates), they are more speculative than the ones on the autosomes.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | The gnomAD Predicted Constraint Metrics track contains metrics of pathogenicity per-gene as < gnomadVariantsV4.1 | predicted for gnomAD v2.1.1 and identifies genes subject to strong selection against various < gnomadVariantsV4.1 | classes of mutation. This includes data on both the gene and transcript level.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | The gnomAD v2 tracks show variants from 125,748 exomes and 15,708 whole genomes, all mapped to < gnomadVariantsV4.1 | the GRCh37/hg19 reference sequence and lifted to the GRCh38/hg38 assembly. The data originate < gnomadVariantsV4.1 | from 141,456 unrelated individuals sequenced as part of various population-genetic and < gnomadVariantsV4.1 | disease-specific studies < gnomadVariantsV4.1 | collected by the Genome Aggregation Database (gnomAD), release 2.1.1. < gnomadVariantsV4.1 | Raw data from all studies have been reprocessed through a unified pipeline and jointly < gnomadVariantsV4.1 | variant-called to increase consistency across projects. For more information on the processing < gnomadVariantsV4.1 | pipeline and population annotations, see the following blog post < gnomadVariantsV4.1 | and the 2.1.1 README.
< gnomadVariantsV4.1 |< gnomadVariantsV4.1 | gnomAD v2 data are based on the GRCh37/hg19 assembly. These tracks display the < gnomadVariantsV4.1 | GRCh38/hg38 lift-over provided by gnomAD on their downloads site. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |On hg38 only, a subtrack "Gnomad mutational constraint" aka "Genome < gnomadVariantsV4.1 | non-coding constraint of haploinsufficient variation (Gnocchi)" captures the < gnomadVariantsV4.1 | depletion of variation caused by purifying natural selection. < gnomadVariantsV4.1 | This is similar to negative selection on loss-of-function (LoF) for genes, but < gnomadVariantsV4.1 | can be calculated for non-coding regions, too. Briefly, for any 1kbp window in < gnomadVariantsV4.1 | the genome, a model based on trinucleotide sequence context, base-level < gnomadVariantsV4.1 | methylation, and regional genomic features predicts expected number of mutations, < gnomadVariantsV4.1 | and compares this number to the observed number of mutations using a Z-score (see Chen et al 2024 < gnomadVariantsV4.1 | in the Reference section for details). The chrX scores were added as received from the authors, < gnomadVariantsV4.1 | as there are no mutations available for chrX, they are more speculative than the ones on the autosomes.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | For questions on the gnomAD data, also see the gnomAD FAQ.
< gnomadVariantsV4.1 |< gnomadVariantsV4.1 | More details on the Variant type(s) can be found on the Sequence Ontology page.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | The gnomAD v4.1 track version follows the same conventions and configuration as the v3.1.1 track, < gnomadVariantsV4.1 | except for mouse hovering items. Mouse hover on an item will display the following details about < gnomadVariantsV4.1 | each variant:
< gnomadVariantsV4.1 |< gnomadVariantsV4.1 | The gnomAD v3.1.1 track version follows the same conventions and configuration as the v3.1 track, < gnomadVariantsV4.1 | except as noted below.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | By default, a maximum of 50,000 variants can be displayed at a time (before applying the filters < gnomadVariantsV4.1 | described below), before the track switches to dense display mode. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Mouse hover on an item will display many details about each variant, including the affected gene(s), < gnomadVariantsV4.1 | the variant type, and annotation (missense, synonymous, etc). < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Clicking on an item will display additional details on the variant, including a population frequency < gnomadVariantsV4.1 | table showing allele count in each sub-population. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Following the conventions on the gnomAD browser, items are shaded according to their Annotation < gnomadVariantsV4.1 | type: < gnomadVariantsV4.1 |
pLoF | |
Missense | |
Synonymous | |
Other |
< gnomadVariantsV4.1 | To maintain consistency with the gnomAD website, variants are by default labeled according < gnomadVariantsV4.1 | to their chromosomal start position followed by the reference and alternate alleles, < gnomadVariantsV4.1 | for example "chr1-1234-T-CAG". dbSNP rsID's are also available as an additional < gnomadVariantsV4.1 | label, if the variant is present in dbSnp. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Three filters are available for these tracks: < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 |< gnomadVariantsV4.1 | The gnomAD v2.1.1 track follows the standard display and configuration options available for < gnomadVariantsV4.1 | VCF tracks, briefly explained below. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Four filters are available for these tracks, the same as the underlying VCF: < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | There are two additional filters available, one for the minimum minor allele frequency, and a configurable filter on the QUAL score. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | The gnomAD v3.1.1 and v4.1 data is unfiltered.
< gnomadVariantsV4.1 |< gnomadVariantsV4.1 | For the v3.1 update only, in order to cut < gnomadVariantsV4.1 | down on the amount of displayed data, the following variant < gnomadVariantsV4.1 | types have been filtered out, but are still viewable in the gnomAD browser: < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | For the full steps used to create the gnomAD tracks at UCSC, please see the < gnomadVariantsV4.1 | hg38 gnomad makedoc. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | The raw data can be explored interactively with the < gnomadVariantsV4.1 | Table Browser, or the Data Integrator. For < gnomadVariantsV4.1 | automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that < gnomadVariantsV4.1 | can be downloaded from our download server, subject < gnomadVariantsV4.1 | to the conditions set forth by the gnomAD consortium (see below). Variant VCFs can be found in the < gnomadVariantsV4.1 | vcf < gnomadVariantsV4.1 | subdirectory. The < gnomadVariantsV4.1 | v3.1, < gnomadVariantsV4.1 | v3.1.1, and < gnomadVariantsV4.1 | v4.1 variants can < gnomadVariantsV4.1 | be found in a special directory as they have been transformed from the underlying VCF.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | For the v3.1.1 and v4.1 variants in particular, the underlying bigBed only contains enough information < gnomadVariantsV4.1 | necessary to use the track in the browser. The extra data like VEP annotations and CADD scores are < gnomadVariantsV4.1 | available in the same directory < gnomadVariantsV4.1 | as the bigBed but in the files details.tab.gz and details.tab.gz.gzi. The < gnomadVariantsV4.1 | details.tab.gz contains the gzip compressed extra data in JSON format, and the .gzi file is < gnomadVariantsV4.1 | available to speed searching of this data. Each variant has an associated md5sum in the name field < gnomadVariantsV4.1 | of the bigBed which can be used along with the _dataOffset and _dataLen fields to get the < gnomadVariantsV4.1 | associated external data, as show below: < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | # find item of interest: < gnomadVariantsV4.1 | bigBedToBed genomes.bb stdout | head -4 | tail -1 < gnomadVariantsV4.1 | chr1 12416 12417 854246d79dc5d02dcdbd5f5438542b6e [..omitted for brevity..] chr1-12417-G-A 67293 902 < gnomadVariantsV4.1 | < gnomadVariantsV4.1 | # use the final two fields, _dataOffset and _dataLen (add one to _dataLen to include a newline), to get the extra data: < gnomadVariantsV4.1 | bgzip -b 67293 -s 903 gnomad.v3.1.1.details.tab.gz < gnomadVariantsV4.1 | 854246d79dc5d02dcdbd5f5438542b6e {"DDX11L1": {"cons": ["non_coding_transcript_variant", [..omitted for brevity..] < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | The data can also be found directly from the gnomAD downloads page. Please refer to < gnomadVariantsV4.1 | our mailing list archives for questions, or our Data Access FAQ for more information.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |The mutational constraints score was updated in October 2022 from a previous, < gnomadVariantsV4.1 | now deprecated, pre-publication version. The old version can be found in our < gnomadVariantsV4.1 | archive < gnomadVariantsV4.1 | directory on the download server. It can be loaded by copying the URL into < gnomadVariantsV4.1 | our "Custom tracks" input box.
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Thanks to the Genome Aggregation < gnomadVariantsV4.1 | Database Consortium for making these data available. The data are released under the Creative Commons Zero Public Domain Dedication as described here. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Please note that some annotations within the provided files may have restrictions on usage. See here for more information. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | < gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alfoldi J, Wang Q, Collins RL, Laricchia KM, < gnomadVariantsV4.1 | Ganna A, Birnbaum DP et al. < gnomadVariantsV4.1 | Variation across < gnomadVariantsV4.1 | 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human < gnomadVariantsV4.1 | protein-coding genes. doi: https://doi.org/10.1101/531210. < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 |< gnomadVariantsV4.1 | Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O'Donnell-Luria AH, Ware JS, Hill < gnomadVariantsV4.1 | AJ, Cummings BB et al. < gnomadVariantsV4.1 | Analysis of protein-coding < gnomadVariantsV4.1 | genetic variation in 60,706 humans. Nature. 2016 Aug 17;536(7616):285-91. < gnomadVariantsV4.1 | PMID: 27535533; < gnomadVariantsV4.1 | PMC: PMC5018207 < gnomadVariantsV4.1 |
< gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C,
< gnomadVariantsV4.1 | Gauthier LD et al.
< gnomadVariantsV4.1 |
< gnomadVariantsV4.1 | A genomic mutational constraint map using variation in 76,156 human genomes.
< gnomadVariantsV4.1 | Nature. 2024 Jan;625(7993):92-100.
< gnomadVariantsV4.1 | PMID: 38057664
< gnomadVariantsV4.1 | (We added the data in 2021, then later referenced the 2022 Biorxiv preprint, in which the track was not called "Gnocchi" yet)
< gnomadVariantsV4.1 |