GPCards

GPCards aggregates curated individual-level genotype and clinical phenotype data to support interpretation of genotype-phenotype correlations in human genetic diseases.


Key Features:

  • Extensive data compilation: Curated dataset derived from 1,855 publications comprising 8,309 genetic variants across 1,288 genes in 17,738 patients with detailed individual-level clinical phenotypic features.
  • Integration with genomic data sources: Aggregates annotations from 62 genomic data sources including functional predictions, allele frequencies across different populations, and disease-related information.
  • Patient-level genotype-phenotype mapping: Maps clinical phenotypes at the patient level to specific genetic variants to enable genotype-phenotype correlation analyses.
  • Custom analysis and variant prioritization: Supports upload of user genetic data for automatic analysis, comprehensive annotation, and prioritization of candidate functional variants.

Scientific Applications:

  • Variant interpretation: Facilitates interpretation of genetic variants by combining curated clinical phenotypes with multi-source annotations and functional predictions.
  • Subtype classification: Supports clinical and molecular subtype classification through detailed genotype-phenotype correlation data.
  • Candidate gene prioritization: Enables prioritization of candidate genes and variants for human genetic diseases using integrated annotations and patient-level phenotype associations.
  • Mechanistic insights and precision medicine: Provides data to inform mechanistic studies and personalized medicine approaches by linking variants to specific clinical manifestations.

Methodology:

Compilation of a curated dataset from 1,855 publications (8,309 variants, 1,288 genes, 17,738 patients); integration of 62 genomic data sources including functional predictions, allele frequencies, and disease annotations; automatic analysis, comprehensive annotation, and prioritization of candidate functional variants; mapping of patient-level clinical phenotypes to specific genetic variants.

Topics

Details

Tool Type:
web application
Added:
9/20/2021
Last Updated:
9/20/2021

Operations

Publications

Li B, Wang Z, Chen Q, Li K, Wang X, Wang Y, Zeng Q, Han Y, Lu B, Zhao Y, Zhang R, Jiang L, Pan H, Luo T, Zhang Y, Fang Z, Xiao X, Zhou X, Wang R, Zhou L, Wang Y, Yuan Z, Xia L, Guo J, Tang B, Xia K, Zhao G, Li J. GPCards: An integrated database of genotype–phenotype correlations in human genetic diseases. Computational and Structural Biotechnology Journal. 2021;19:1603-1611. doi:10.1016/j.csbj.2021.03.011. PMID:33868597. PMCID:PMC8042245.

Documentation

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