ClinGen Pathogenicity Calculator: a configurable system for assessing pathogenicity of genetic variants

被引:46
作者
Patel, Ronak Y. [1 ]
Shah, Neethu [1 ]
Jackson, Andrew R. [1 ]
Ghosh, Rajarshi [1 ]
Pawliczek, Piotr [1 ]
Paithankar, Sameer [1 ]
Baker, Aaron [1 ]
Riehle, Kevin [1 ]
Chen, Hailin [1 ]
Milosavljevic, Sofia [1 ]
Bizon, Chris [2 ]
Rynearson, Shawn [3 ]
Nelson, Tristan [4 ]
Jarvik, Gail P. [10 ]
Rehm, Heidi L. [5 ,6 ,7 ]
Harrison, Steven M. [5 ]
Azzariti, Danielle [5 ]
Powell, Bradford [8 ]
Babb, Larry [9 ]
Plon, Sharon E. [1 ]
Milosavljevic, Aleksandar [1 ]
机构
[1] Baylor Coll Med, Houston, TX 77030 USA
[2] Univ N Carolina, Renaissance Comp Inst, Chapel Hill, NC 27517 USA
[3] Univ Utah, Univ Utah Hosp & Clin, Salt Lake City, UT 84112 USA
[4] Geisinger Autism & Dev Med, Lewisburg, PA 17837 USA
[5] Mol Med Lab, Partners HealthCare Personalized Med, Cambridge, MA 02139 USA
[6] Brigham & Womens Hosp, Boston, MA 02115 USA
[7] Harvard Med Sch, Boston, MA 02115 USA
[8] Univ N Carolina, Dept Genet, Chapel Hill, NC 27514 USA
[9] Genelnsight, Sunquest Informat Syst, Boston, MA 02210 USA
[10] Univ Washington, Dept Med, Div Med Genet, Seattle, WA 98195 USA
关键词
Genome sequencing; Exome sequencing; Clinical genome sequencing; Clinical exome sequencing; ACMG guidelines; ClinVar; ClinGen; Clinical Genome Resource; Knowledge commons; Data commons; Data sharing; Linked Data; Big Data; SEQUENCE VARIANTS; GUIDELINES; CLASSIFICATION; LABORATORIES; PERFORMANCE; STANDARDS;
D O I
10.1186/s13073-016-0391-z
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: The success of the clinical use of sequencing based tests (from single gene to genomes) depends on the accuracy and consistency of variant interpretation. Aiming to improve the interpretation process through practice guidelines, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) have published standards and guidelines for the interpretation of sequence variants. However, manual application of the guidelines is tedious and prone to human error. Web-based tools and software systems may not only address this problem but also document reasoning and supporting evidence, thus enabling transparency of evidence-based reasoning and resolution of discordant interpretations. Results: In this report, we describe the design, implementation, and initial testing of the Clinical Genome Resource (ClinGen) Pathogenicity Calculator, a configurable system and web service for the assessment of pathogenicity of Mendelian germline sequence variants. The system allows users to enter the applicable ACMG/AMP-style evidence tags for a specific allele with links to supporting data for each tag and generate guideline-based pathogenicity assessment for the allele. Through automation and comprehensive documentation of evidence codes, the system facilitates more accurate application of the ACMG/AMP guidelines, improves standardization in variant classification, and facilitates collaborative resolution of discordances. The rules of reasoning are configurable with gene-specific or disease-specific guideline variations (e.g. cardiomyopathy-specific frequency thresholds and functional assays). The software is modular, equipped with robust application program interfaces (APIs), and available under a free open source license and as a cloud-hosted web service, thus facilitating both stand-alone use and integration with existing variant curation and interpretation systems. The Pathogenicity Calculator is accessible at http://calculator.clinicalgenome. org. Conclusions: By enabling evidence-based reasoning about the pathogenicity of genetic variants and by documenting supporting evidence, the Calculator contributes toward the creation of a knowledge commons and more accurate interpretation of sequence variants in research and clinical care.
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页数:9
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