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DOI: 10.1101/gr.250357.119
¤ OpenAccess: Hybrid
This work has “Hybrid” OA status. This means it is free under an open license in a toll-access journal.

Pediatric Cancer Variant Pathogenicity Information Exchange (PeCanPIE): a cloud-based platform for curating and classifying germline variants

Michael N. Edmonson,Aman Patel,Dale J. Hedges,Zhaoming Wang,Evadnie Rampersaud,Chimene Kesserwan,Xin Zhou,Yanling Liu,Scott Newman,Michael Rusch,Clay McLeod,Mark R. Wilkinson,Stephen V. Rice,Thierry Soussi,J. Paul Taylor,Michael Benatar,Jared Becksfort,Kim E. Nichols,Leslie L. Robison,James R. Downing,Jinghui Zhang

Indel
Biology
Genomics
2019
Variant interpretation in the era of massively parallel sequencing is challenging. Although many resources and guidelines are available to assist with this task, few integrated end-to-end tools exist. Here, we present the Pediatric Cancer Variant Pathogenicity Information Exchange (PeCanPIE), a web- and cloud-based platform for annotation, identification, and classification of variations in known or putative disease genes. Starting from a set of variants in variant call format (VCF), variants are annotated, ranked by putative pathogenicity, and presented for formal classification using a decision-support interface based on published guidelines from the American College of Medical Genetics and Genomics (ACMG). The system can accept files containing millions of variants and handle single-nucleotide variants (SNVs), simple insertions/deletions (indels), multiple-nucleotide variants (MNVs), and complex substitutions. PeCanPIE has been applied to classify variant pathogenicity in cancer predisposition genes in two large-scale investigations involving >4000 pediatric cancer patients and serves as a repository for the expert-reviewed results. PeCanPIE was originally developed for pediatric cancer but can be easily extended for use for nonpediatric cancers and noncancer genetic diseases. Although PeCanPIE's web-based interface was designed to be accessible to non-bioinformaticians, its back-end pipelines may also be run independently on the cloud, facilitating direct integration and broader adoption. PeCanPIE is publicly available and free for research use.
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    Pediatric Cancer Variant Pathogenicity Information Exchange (PeCanPIE): a cloud-based platform for curating and classifying germline variants” is a paper by Michael N. Edmonson Aman Patel Dale J. Hedges Zhaoming Wang Evadnie Rampersaud Chimene Kesserwan Xin Zhou Yanling Liu Scott Newman Michael Rusch Clay McLeod Mark R. Wilkinson Stephen V. Rice Thierry Soussi J. Paul Taylor Michael Benatar Jared Becksfort Kim E. Nichols Leslie L. Robison James R. Downing Jinghui Zhang published in 2019. It has an Open Access status of “hybrid”. You can read and download a PDF Full Text of this paper here.