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ClinGen Allele Registry links information about genetic variants.
Pawliczek, Piotr; Patel, Ronak Y; Ashmore, Lillian R; Jackson, Andrew R; Bizon, Chris; Nelson, Tristan; Powell, Bradford; Freimuth, Robert R; Strande, Natasha; Shah, Neethu; Paithankar, Sameer; Wright, Matt W; Dwight, Selina; Zhen, Jimmy; Landrum, Melissa; McGarvey, Peter; Babb, Larry; Plon, Sharon E; Milosavljevic, Aleksandar.
Affiliation
  • Pawliczek P; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Patel RY; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Ashmore LR; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Jackson AR; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Bizon C; Renaissance Computing Institute, University of North Carolina, Chapel Hill, North Carolina.
  • Nelson T; Geisinger's Autism and Developmental Medicine, Lewisburg, Pennsylvania.
  • Powell B; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina.
  • Freimuth RR; Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
  • Strande N; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina.
  • Shah N; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Paithankar S; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Wright MW; Department of Biomedical Data Sciences, Stanford University School of Medicine, Palo Alto, California.
  • Dwight S; Department of Biomedical Data Sciences, Stanford University School of Medicine, Palo Alto, California.
  • Zhen J; Department of Biomedical Data Sciences, Stanford University School of Medicine, Palo Alto, California.
  • Landrum M; National Center for Biotechnology Information, National Institutes of Health, Bethesda, Maryland.
  • McGarvey P; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, District of Columbia.
  • Babb L; Sunquest Information Systems Company, Boston, Massachusetts.
  • Plon SE; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Milosavljevic A; Department of Pediatrics, Baylor College of Medicine,  Houston, Texas.
Hum Mutat ; 39(11): 1690-1701, 2018 11.
Article in En | MEDLINE | ID: mdl-30311374
Effective exchange of information about genetic variants is currently hampered by the lack of readily available globally unique variant identifiers that would enable aggregation of information from different sources. The ClinGen Allele Registry addresses this problem by providing (1) globally unique "canonical" variant identifiers (CAids) on demand, either individually or in large batches; (2) access to variant-identifying information in a searchable Registry; (3) links to allele-related records in many commonly used databases; and (4) services for adding links to information about registered variants in external sources. A core element of the Registry is a canonicalization service, implemented using in-memory sequence alignment-based index, which groups variant identifiers denoting the same nucleotide variant and assigns unique and dereferenceable CAids. More than 650 million distinct variants are currently registered, including those from gnomAD, ExAC, dbSNP, and ClinVar, including a small number of variants registered by Registry users. The Registry is accessible both via a web interface and programmatically via well-documented Hypertext Transfer Protocol (HTTP) Representational State Transfer Application Programming Interface (REST-APIs). For programmatic interoperability, the Registry content is accessible in the JavaScript Object Notation for Linked Data (JSON-LD) format. We present several use cases and demonstrate how the linked information may provide raw material for reasoning about variant's pathogenicity.
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Full text: 1 Database: MEDLINE Main subject: Genetic Variation / Databases, Genetic Limits: Humans Language: En Journal: Hum Mutat Journal subject: GENETICA MEDICA Year: 2018 Type: Article

Full text: 1 Database: MEDLINE Main subject: Genetic Variation / Databases, Genetic Limits: Humans Language: En Journal: Hum Mutat Journal subject: GENETICA MEDICA Year: 2018 Type: Article