|27 September 2023||v1.6.1||
Update 1: Two human pancreatic islet eQTL datasets were added (TIGER and InsPIRE) .
Update 2: The GENE2FUNC button on the SNP2GENE job page was updated so that SNP2GENE jobs that do not run MAGMA will use GTEx v8 data in the GENE2FUNC tissue expression analyses when the GENE2FUNC button is pressed. Prior to this update no tissue expression analyses were run and a minor bug prevented the gene table from being dislayed.
Update 3: A minor bug with the ANNOVAR enrichment analysis in the SNP2GENE pipeline was fixed. Now if candidate SNPs do not map to a gene but are annotated by ANNOVAR, they will be included in the ANNOVAR enrichment analyses. Previous versions of FUMA excluded variants which were not mapped to a nearest gene by ANNOVAR in the enrichment analysis.
Update 4: A downloads page was added where some reference data used by FUMA can be downloaded.
Update 5: Variant-gene connections in the eQTL catalogue datasets that had unadjusted P-values >=0.05 were removed. Now only nominally significant variant-gene connections in the eQTL catalogue are available for variant annotation in the SNP2GENE pipeline.
|7 September 2023||v1.6.0||As of v1.6.0, FUMA SNP2GENE allows input data on build GRCh38 if the input contains chromosome, position, effect allele, and noneffect allele columns. FUMA SNP2GENE previously worked with input data on build GRCh38 if rsIDs were present and chromosome and position columns were not present. This update now allows for input data on build GRCh38 when chromosome, position, effect allele, and noneffect allele columns are present by annotating variants with rsIDs using dbSNP v150 data. To reduce computational time, only variants that are present in any of the FUMA SNP2GENE reference panels will be annotated with rsIDs. Variants that could not be successfully annotated with rsIDs can be downloaded with the rest of the job results.|
|02 August 2023||v1.5.6||The MSigDB version was updated to v2023.1.Hs in the SNP2GENE and GENE2FUNC modules. The GWAScatalog version was updated to e110_r2023-07-20 in the SNP2GENE and GENE2FUNC modules. The SNP2GENE geneset file and the GENE2FUNC geneset files from FUMA version 1.3.5d to 1.5.5 are downloadable in the tutorial sections. The new version of these geneset files can also be downloaded in the tutorial sections.|
|27 July 2023||v1.5.5||Ensembl v102 and v110 added and Ensembl v92 removed. v92 is no longer available in the BioMart databases.|
|12 May 2023||v1.5.4||User roles and permissions added.|
|06 April 2023||v1.5.3||Registration vulnerability fixed.|
|26 February 2023||v1.5.2||Added an FAQ page.|
|03 February 2023||v1.5.1||MAGMA will no longer run by default in the SNP2GENE module. If you would like the MAGMA gene, gene-set, and tissue analysis results or to use the SNP2GENE output as input for the Cell Type module, please select 'Perform MAGMA' (in step 6) on the submission page.|
|20 December 2022||v1.5.0||Updated FUMA Cell Type user interphase and added scRNAseq data for human prefrontal cortex from Herring et al. 2022.|
|02 December 2022||v1.4.2||Updated the GWAS catalog to e0_r2022-11-29 in the SNP2GENE analysis.|
|07 September 2022||v1.4.1||Fixed a bug that caused chromosome 23 variants to be excluded from genomic risk loci when the 1KG EUR reference panel was used. This bug started on February 28 2022 and was fixed on August 30 2022. If, during this period, you have used the 1KG EUR reference panel and your data included chromosome 23, please re-run your analyses.|
|27 July 2022||v1.4.0||Major update 1: Ensembl v85 genes have been removed from the job options for SNP2GENE and GENE2FUNC. v85 is no longer available in the BioMart databases.|
|5 July 2022||v1.3.9||Fixed a bug where circos plots with more than 10k CI interactions would return an error. Now an arbitrary selection of 10k interactions is visualised. Fixed another bug where sorting genomic positions as strings would result in wrong Risk Loci boundaries in rare occasions.|
|31 March 2022||v1.3.8||Fixed a bug which caused one annotation to be dropped when filtering variants based on annotations for gene-mapping. Analyses which relied on filtering variants by annotation for gene-mapping should re-submit their jobs.|
|06 October 2021||v1.3.7||Added EyeGEx eQTL data.|
|18 September 2021||v1.3.6d||Updated GWAScatalog to e104_2021-09-15.|
|10 September 2021||v1.3.6c||Fixed a minor bug to allow for transparent regional plot backgrounds. Fixed a minor bug to allow for analysis of chr23 using UKB 10k reference panel.|
|04 July 2021||v1.3.6b||Fixed a minor bug in the calculation of annotation enrichment p-values. We re-analyzed results from existing jobs, and the 99th percentile absolute difference between old and new p-values was 0.00000458. However, jobs in which more than 100,000 variants were selected for further analysis may encounter larger differences, and these analyses should be re-run.|
|09 September 2020||v1.3.6a||Update MAGMA to v1.08. Bug fix for gene2func (DrugBank annotation).|
|23 March 2020||v1.3.6||Datasets in the eQTL Catalogue which were not already present in FUMA were added as options for eQTL mapping.|
|4 Nov 2019||v1.3.5e||There was an error during mapping hg38 to hg19 for eQTLs of GTEx v8, which caused some missing significant eQTLs. It has been fixed in the current version. If you have any SNP2GENE jobs with eQTL mapping using GTEx v8, it is strongly recommended to re-do gene-mapping.|
|14 Oct 2019||v1.3.5d||
Update 1: GTEx v8 eQTLs and gene expression data were added to SNP2GENE and GENE2FUNC.
Due to the limited storage space on the server, GTEx eQTLs for all versions (v6/v7/v8) are now limited to
SNP-gene pairs with nominal P-value < 0.05 (before all tested SNP-gene pairs were available).
This does not affect your results if you used only significant SNP-gene pairs (with gene Q-value < 0.05)
Update 2: MsigDB was updated to v7.0.
Update 3: GWAS catalog was updated to e96_2019-09-24.
Update 4: Wikipathway was updated to v20191010.
Update 5: DrugBank was updated to v5.1.4.
Update 6: There was a bug in the script to process PsychENCODE eQTL data. This bug caused to filter all PsychENCODE eQTLs during gene mapping. If you used this data, it is strongly advised to re-run gene mapping (you might get more eQTLs but not less).
|5 Aug 2019||v1.3.5b||Minor bugs in the main scripts are fixed.|
|27 May 2019||v1.3.5||
Major update 1: Reference panels were updated to include as much as variants possible.
For 1000 Genome, new reference panel "ALL" was added.
UK Biobank reference panel was updated to release 2b (based on genotype data released in May 2018).
UK Biobank release 1 and release 2 reference panels are no longer available.
Please check Tutorial for more details.
Major update 2: New options for additional SNP annotations (genome based annotations provided as bed files) were added. Annotations can be selected for each mapping separately. Options can be selected to either only annotate SNPs or also filter based on the overlap of selected annotations.
Major update 3: For GENE2FUNC, users can now provide custom gene sets in GMT format.
Minor update 1: A threshold of r2 for the second clumping to define lead SNPs was added as input parameter.
Minor update 2: Additional data sets were added to eQTLs and chromatin interaction mappings.
Minor update 3: Additional data sets were added to cell type analyses.
Minor update 4: Enrichments of functional consequence of candidate SNPs are now tested against SNPs in the user selected reference panel.
Minor update 5: GWAS catalog was updated to e96 2019-05-03.
Minor update 6: Gene window size for MAGMA gene analysis can be specified for up- and downstream separately.
|26 Apr 2019||v1.3.4d||Script for cell type specificity analysis has been optimised and minor bugs are fixed.|
|26 Mar 2019||v1.3.4c||Minor bug update on GENE2FUNC gene set enrichment test. It has been testing P(X>x), but now it tests P(X≥x). This change will affect the results of "Tissue specificity" and "Gene sets" in GENE2FUNC process. If you wish to update the existing job, please contact developer.|
|28 Feb 2019||v1.3.4b||MAGMA reference panels were modified. There were mil-filtering of some SNPs in the pre-process (only for UK biobank references). This might cause different results of MAGMA gene, gene-set and gene-property analyses.|
|17 Feb 2019||v1.3.4||
Major update 1: Cell type specificity analysis was updated to 3 step workflow.
The workflow consist of 1) per dataset cell type analysis, 2) within dataset conditional analysis and
3) across datasets conditional analysis.
Additional datasets were curated in addition to ones available from v1.3.3.
Please check Tutorial for details.
Minor update 1: MAGMA was updated to v1.07 to facilitate conditional analyses in cell type specificity analysis. This does not affect results of SNP2GENE MAGMA analyses, however the extension of gene-set/gene-property analysis has been changed to XXX.gsa.out.
Minor update 2: GWAS catalog was updated to e93 2019-01-11.
Minor update 3: MsigDB was updated to v6.2.
Minor update 4: WikiPathways was updated to v20190110.
Minor update 5: Additional HiC datasets (adult and fetal cortex samples) were added to the chromatin interaction mapping.
|19 Dec 2018||v1.3.3d||Minor bugs have been fixed. Bugs include mis-alignment of alleles in ANNOVAR and mis-count of SNPs in LD per independent significant SNPs.|
|22 Oct 2018||v1.3.3c||Cis- and trans-eQTLs from eQTLGen are now available for eQTL mapping. The eQTLGen is a meta-analysis of 37 datasets with in total of 31,684 individuals. To annotate new eQTLs for your existing SNP2GENE jobs, you can use "re-do gene mapping" option.|
|11 Sep 2018||v1.3.3b||As requested, addition options for window size of MAGMA gene analysis have been added. In the new version, 0, 1, 5, 10, 15, 20, 25, 30, 40 and 50kb (both sides) are available.|
|22 July 2018||v1.3.3||Cell type specificity analysis based on scRNA-seq datasets using MAGMA is now available. This is currently a beta version, further improvement of plots and additional info will be available soon.|
|29 May 2018||v1.3.2||Some scripts have been optimized. Chromatin interaction mapping with large number of SNPs is now much faster than before.|
|2 May 2018||v1.3.1b||Minor bug in chromatin interaction mapping has been fixed. This missed some promoter annotations in region2 which might has caused over filtering of chromatin interactions. This affects the mapped genes only when you activate the filtering based on promoter in chromatin interaction mapping.|
|27 Apr 2018||v1.3.1||
Major update 1: UK Biobank reference panel has been added.
There are three types of reference panels are avilable for UKB;
release 1 white british, release 2 white british and release 2 European.
Each reference panel consists of randomly selected 10,000 subjects.
MAGMA reference was created for each of these population by further randomly selected 1,000 subject
since the run time is very long by using 10K subjects.
Please check Tutorial for details.
Major update 2: You can now publish your FUMA results to public to allow other users can browse your results. The browse page does not require users to login which makes it possible to share your results to larger population in an easy way!! Please check Tutorial for details.
Minor update 1: Emsemble v92 genes are now available for both SNP2GENE and GENE2FUNC. Ensembl v85 can be selected from the option, but the default is updated to v92.
Minor update 2: MsigDB is updated to v6.1 and WikiPathways is updated to 20180410.
Minor update 3: An info tab is added to the header (). You can check the current version of FUMA and how many jobs are currently running/queued.
|21 Feb 2018||v1.3.0||Major update 1: The following 4 eQTL data sets are added, GTEx v7, MuTHER, CommonMind Consortium and xQTLServer.
Each data set has different description for tested allele, P-value and FDR.
Please check Tutorial for details before start using these new data sets.
To be able to replicate previous results, GTEx v6 eQTLs are also kept as options.
Because of this, when "all" is selected for eQTL mapping, both GTEx v6 and GTEx v7 are going to be used.
To avoid this, please manually check data sets.
Major update 2: Indels are now included in the 1000 genome reference. Note that only bi-allelic SNPs and indels are available in FUMA.
Major update 3: GTEx v7 and BrainSpan gene expression data sets were added to MAGMA gene expression analysis in SNP2GENE and DEG enrichment analysis in GENE2FUNC.
Major update 4: For existing SNP2GENE jobs, it is possible to re-perform gene mapping with different parameters from v1.3.0. Please check Tutorial for details.
Minor update 1: For SNP2GENE job submission, previous parameter setting can be loaded by selecting job ID.
Minor update 2: A summary page is added to the GENE2FUNC results page.
Minor update 3: GWAS catalog is updated to version e91_2018-02-06.
|20 Dec 2017||v1.2.8||Positional mapping based on distance between SNPs and genes has been improved. It was purely based on the distance annotated by ANNOVAR until v1.2.7, however, ANNOVAR only annotate intergenic SNPs to two closet genes. From v1.2.8, distance between SNPs to genes are checked independently from ANNOVAR. This change more likely to affect your results when positional mapping was performed with distance much larger than 10kb. There must be no effect if positional mapping was performed based on the functional consequence of SNPs annotated by ANNOVAR.|
|11 Dec 2017||v1.2.7||Filtering of chromatin interactions in circos plot has been updated. Only chromatin interactions (orange links) and eQTLs (green links) used for mapping are displayed in circos plot from this version. If you wish to update circos plot of existing SNP2GENE job, please contact developer with your jobID.|
|1 Sep 2017||v1.2.4||Minor bug in chromatin interaction mapping was fixed. Chromatin interaction mapping has been missed some interactions that are overlapping with risk loci. If you have any SNP2GENE job with chromatin interaction mapping submitted before 1st of September 2017, it's strongly recommended to re-submit jobs or please contact developer to update the results.|
|22 Aug 2017||v1.2.3||GWAScatalog has been updated to release e89 2017-08-15. Please be aware that jobs submitted to SNP2GENE before 22th August 2017 used previous version (e85 2016-09-27). If you wish to update GWAScatalog results for your SNP2GENE jobs, please contact developer with jobID.|
|25 June 2017||v1.2.0||Major update 1: Chromatin interaction mapping is newly added into SNP2GENE process which utilize 3D genome data such as Hi-C, ChIA-PET and so on.
Build in Hi-C data is obtained from GSE87112 and user can also provide custom chromatin interaction data.
Tutorial for details.
Major update 2: "Browse examples" page is newly added which does not require registration/login. In the page, pre-computed results can be browsed with full features (e.g. interactive plots and download).
Minor updates: SNP2GENE process is improved. eQTLs are aligned with the risk increasing alleles in the input GWAS file (see Tutorial for details). To avoid confusion, allele names in the SNPs table were updated to non_efefct_allele/effect_allele from ref/alt.
|27 Apr 2017||v1.1.2||Two gene scores (pLI and ncRVIS) are added to the gene table. See links for detail information of each score.|
|27 Apr 2017||v1.1.2||The speed of SNP2GENE process is improved.|
|24 Mar 2017||v1.1.1||SNPs filtering with functional annotation for gene mapping is now reflected in the regional plot with annotations. Details are described at the bottom of the page of regional plot with annotations.|
|17 Mar 2017||v1.1.0||In SNP2GENE, MAGMA tissue expression analyses was added to "Genome wide plot". Details are in the SNP2GENE Outputs section of the tutorial.|
|21 Feb 2017||v1.0.0||The first version was freezed.|