geneXplore: An Interactive Browser for X Chromosome-Wide Association Study Results
Cook, N.; Boulais-Richard, J.; Zeng, Y.; Yang, C.; Budde, J.; Taliun, D.; Gagliano Taliun, S. A.; Cruchaga, C.; Belloy, M. E.
Show abstract
Summary: The X chromosome comprises approximately 5% of the human genome and encodes over 800 protein-coding genes, many of which exhibit sex-differentiated expression patterns due to escape from X chromosome inactivation (XCI) mechanisms. Despite its relevance to sex differences in complex traits, the X chromosome is routinely excluded from genome-wide association studies due to analytical challenges, and when analyzed, the impact of escape from XCI or sex is limitedly explored. No dedicated, publicly accessible browser for X chromosome-wide association study (XWAS) summary statistics currently exists, creating a barrier to systematic investigation of X-linked contributions to human traits. Here, we present geneXplore, an interactive web browser based on the PheWeb2 implementation, tailored for XWAS summary statistics across 1,944 phenotypes while distinguishing random XCI (rXCI), escape from XCI (eXCI), and sex-stratified analyses. Users can explore results via interactive plots (Manhattan and Miami, PheWAS and LocusZoom), searchable tables and access to cross-database lookup, with full summary statistics available for download. Availability and Implementation: geneXplore is freely available at https://genexplore.wustl.edu/ with no registration required and will be maintained for a minimum of two years following publication. Source code is available at https://github.com/Belloy-Lab/geneXplore_XWAS_Browser under an MIT license.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- p53motifDB: integration of genomic information and tumor suppressor p53 binding motifs 91%
- HeartBioPortal2.0: new developments and updates for genetic ancestry and cardiometabolic quantitative traits in diverse human populations 90%
- DISEASES 2.0: a weekly updated database of disease-gene associations from text mining and data integration 90%
Similar papers in this journal
- SparkINFERNO: A scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants 96%
- echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipeline 96%
- flashfm-ivis: interactive visualisation for fine-mapping of multiple quantitative traits 96%
Similar papers in this journal
Similar papers in this journal
- The Great Genotyper: A Graph-Based Method for Population Genotyping of Small and Structural Variants 92%
- Identifying, understanding, and correcting technical biases on the sex chromosomes in next-generation sequencing data 91%
- CNVpytor: a tool for CNV/CNA detection and analysis from read depth and allele imbalance in whole genome sequencing 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.