Update

Release 2.2 (2022-10-15)

This release includes the following major features:

• Associated gene(s): lists candidate target gene(s) of the query variant, including the host gene(s), the nearest gene(s), the QTL gene(s) and the Hi-C interacted gene(s);
• Provides an intuitive table to summarize the number of QTL records in each tissue/cell types across different molecular phenotypes in "Comparison Viewer".

Release 2.1 (2022-09-08)

This release includes the following major features:

• Comparison viewer: visualizes and compares xQTLs across different molecular phenotypes and biological conditions in track-based locus viewer;
• New curated data: adds 124 genome-wide QTL summary statistics from 7 independent studies.

Release 2.0 (2022-06-30)

This release includes the following major features:

• Curated QTL studies and summary statistics: newly collects 836 genome-wide QTL summary statistics from 139 independent studies;
• Introduce new QTL types: adds 12 new QTL types compared to last major version, including bQTL, tuQTL, vQTL, circQTL, apaQTL, m6AQTL, puQTL, eaQTL, pieQTL, TF-eQTL, stQTL and eRNA-QTL;
• Search by variant: expands the variant query scope to fit 195 QTL datasets based on whole genome sequencing;
• More annotation: links the query variant to our latest annotation portal VannoPortal;
• Filter by biological conditions: supports QTL filtering on different biological conditions, such as stimulation type, disease state, drug treatment and differentiation process from 30 independent QTL studies;
• Linkage disequilibrium (LD) viewer: incorporates a new LD viewer to facilitate QTLs comparison across tissue/cell types and QTL types;
• Download all significant xQTLs: provides all significant QTL information (both GRCh37/hg19 and GRCh38/hg38).

Release 1.3 (2021-11-26)

• Update new data of 11 QTL studies for existing QTL types, including 51 eQTL, 10 sQTL, 17 mQTL, 5 pQTL, 3 caQTL, 1 edQTL, 1 hQTL, 1 lncRNAQTL, 1 m6AQTL, 1 metaQTL, 1 apaQTL.
• Incorporate new data for 2 new QTL types, including pieQTL and TF-eQTL.

Release 1.2 (2020-09-22)

• Update new data of 11 QTL studies for existing QTL types, including 4 caQTL,1 edQTL, 2 reQTL, 4 pQTL.
• Incorporate new data of 12 QTL studies for new QTL types, including 2 bQTL, 1 puQTL, 1 eaQTL, 1 tuQTL, 1 vQTL, 2 circQTL, 4 apaQTL,1 m6AQTL.
• Fix some bugs for trait name, sample size, population information.

Release 1.1 (2019-09-08)

• Allow to adjust focused region: By clicking ‘Setting’ button in Tissue-wise or Variant-wise plots, users can adjust their interested region size or maximal -log10(P).
• xQTL comparison: Clicking on ‘Compare xQTL’ button in the Tissue-wise or Variant-wise plots, users can select desired tissues and QTL types for intuitive comparison. Users can adjust focused regions and decorate the plots by several advanced options. The original 'Group by Tissue' mode was removed.
• Download vector diagram (.svg): Most of plots in QTLbase can be download as vector diagram (.svg) for further editing.
• Download all significant xQTLs in different categories: QTLbase now provides advanced download functions, a). Download by study; b). Download by tissue; c). Download by QTL category; d). Download all xQTL data.

Release 1.0 (2019-07-28)

This release includes the following features described in details in the documentation:

• Curated QTL studies and summary statistics: collected 233 independent genome-wide QTL studies which contains 712 unique QTL summary statistics across 13 different molecular phenotypes and 78 tissue/cell types.
• Search by variant: accepts variant-level query by either dbSNP ID or genomic position.
• Search by trait: accepts trait-level query by either trait name or genomic position.
• Zoomable heatmap plot: visualizes the distribution of associated traits or variants across tissue/cell types.
• Trait-wise plot: visualizes the genomic distribution of QTL-associated traits with their significance and gene annotations for query variant.
• Variant-wise plot: visualizes the genomic distribution of trait-associated variants with their significance and gene annotations for query trait.
• Tissue-wise plot: visualizes the significance of QTLs across related tissue/cell types for query variant or trait.
• 'Show trans-QTL' mode: users can switch to trans-xQTL result page for query variant.
• 'Group by Tissue' mode: users can switch to tissue-oriented viewer in the result page.
• Annotation panel: users can retrieve the functional annotation by click ‘Show Annotation’.
• Summary statistics table: users can check, sort and download summary statistics information of QTLs in the table for query variant or trait.
• Summary of curated studies: users can browse studies information of curated in a table.
• Download all significant xQTLs: users can download significant QTL information by clicking the 'DOWNLOAD' button on the navigation bar.