Your browser doesn't support javascript.
loading
Variant interpretation using population databases: Lessons from gnomAD.
Gudmundsson, Sanna; Singer-Berk, Moriel; Watts, Nicholas A; Phu, William; Goodrich, Julia K; Solomonson, Matthew; Rehm, Heidi L; MacArthur, Daniel G; O'Donnell-Luria, Anne.
Afiliación
  • Gudmundsson S; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Singer-Berk M; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
  • Watts NA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
  • Phu W; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Goodrich JK; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
  • Solomonson M; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Rehm HL; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • MacArthur DG; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
  • O'Donnell-Luria A; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Hum Mutat ; 43(8): 1012-1030, 2022 08.
Article en En | MEDLINE | ID: mdl-34859531
Reference population databases are an essential tool in variant and gene interpretation. Their use guides the identification of pathogenic variants amidst the sea of benign variation present in every human genome, and supports the discovery of new disease-gene relationships. The Genome Aggregation Database (gnomAD) is currently the largest and most widely used publicly available collection of population variation from harmonized sequencing data. The data is available through the online gnomAD browser (https://gnomad.broadinstitute.org/) that enables rapid and intuitive variant analysis. This review provides guidance on the content of the gnomAD browser, and its usage for variant and gene interpretation. We introduce key features including allele frequency, per-base expression levels, constraint scores, and variant co-occurrence, alongside guidance on how to use these in analysis, with a focus on the interpretation of candidate variants and novel genes in rare disease.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Enfermedades Raras Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Enfermedades Raras Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos