PedMiner

PedMiner performs linkage analysis and variant annotation to identify disease-associated genetic variants from family-based whole-exome sequencing (WES) data for studies of Mendelian inherited disorders, including autosomal recessive inheritance.


Key Features:

  • Linkage Analysis: Performs linkage analysis on family-based whole-exome sequencing (WES) data.
  • Integration of Analyses: Integrates linkage analysis with variant annotation and prioritization into an automated pipeline.
  • Variant and Gene Annotation: Provides detailed annotation of variants and genes within linked genomic regions.
  • Visualization of Linked Regions: Generates graphical visualization of linked genomic regions to support interpretation of linkage results.
  • Default Filtration Process: Applies a default filtration process to prioritize candidate variants from WES datasets.
  • Inheritance Model Support: Tailored for analyses under an autosomal recessive inheritance pattern.

Scientific Applications:

  • Mendelian disease gene discovery: Identification of candidate disease-causing variants in studies of Mendelian inherited disorders using family-based WES.
  • Autosomal recessive studies: Detection and prioritization of variants consistent with autosomal recessive inheritance.
  • Candidate variant prioritization: Reduction of candidate variant lists from complex family WES datasets for downstream investigation.
  • Support for functional follow-up: Provision of annotated variants and genes to inform subsequent functional analyses.

Methodology:

Performs linkage analysis on family-based WES data; integrates linkage results with variant annotation and prioritization in an automated pipeline; generates graphical visualizations of linked genomic regions; annotates variants and genes within linked regions; applies a default filtration process to prioritize candidate variants.

Topics

Details

Added:
1/18/2021
Last Updated:
11/24/2024

Operations

Publications

Zhou J, Gao J, Zhang H, Zhao D, Li A, Iqbal F, Shi Q, Zhang Y. PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data. Briefings in Bioinformatics. 2020;22(3). doi:10.1093/bib/bbaa077. PMID:32393981. PMCID:PMC8138824.

PMID: 32393981
PMCID: PMC8138824
Funding: - National Natural Science Foundation of China: 31630050, 31771668, 31890780 - National Key Research and Developmental Program of China: 2016YFC1000600, 2017YFC1001500 - Chinese Academy of Sciences: XDB19010200

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