Using VAAST to Identify Disease-Associated Variants in Next-Generation Sequencing Data.

Kennedy, Brett; Kronenberg, Zev; Hu, Hao; Moore, Barry; Flygare, Steven; Reese, Martin G; Jorde, Lynn B; Yandell, Mark; Huff, Chad

Kennedy, Brett; Kronenberg, Zev; Hu, Hao; Moore, Barry; Flygare, Steven; Reese, Martin G; Jorde, Lynn B; Yandell, Mark; Huff, Chad.

Afiliação

Kennedy B; Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah.
Kronenberg Z; These authors collectively are the first authors of the unit.
Hu H; Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah.
Moore B; These authors collectively are the first authors of the unit.
Flygare S; Department of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas.
Reese MG; These authors collectively are the first authors of the unit.
Jorde LB; Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah.
Yandell M; Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah.
Huff C; Omicia, Inc, Emeryville, California.

Curr Protoc Hum Genet ; 81: 6.14.1-6.14.25, 2014 Apr 24.

Article em En | MEDLINE | ID: mdl-24763993

Assuntos

Variação Genética; Sequenciamento de Nucleotídeos em Larga Escala; Estudos de Casos e Controles; Feminino; Humanos; Masculino; Linhagem

Palavras-chave

VAAST; bioinformatics; computational genomics; disease-gene identification; genome-wide association studies; genomics; human disease; next-generation sequencing; rare-variant association test; variant classification

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2014 Tipo de documento: Article

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