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PGRNseq: a targeted capture sequencing panel for pharmacogenetic research and implementation.
Gordon, Adam S; Fulton, Robert S; Qin, Xiang; Mardis, Elaine R; Nickerson, Deborah A; Scherer, Steve.
Afiliação
  • Gordon AS; aDepartment of Genome Sciences, University of Washington, Seattle, Washington bThe Baylor College of Medicine Human Genome Sequencing Center, Houston, Texas cThe Genome Institute at Washington University, St Louis, Missouri, USA.
Pharmacogenet Genomics ; 26(4): 161-168, 2016 Apr.
Article em En | MEDLINE | ID: mdl-26736087
ABSTRACT

OBJECTIVES:

Although the costs associated with whole-genome and whole-exome next-generation sequencing continue to decline, they remain prohibitively expensive for large-scale studies of genetic variation. As an alternative, custom-target sequencing has become a common methodology on the basis of its favorable balance between cost, throughput, and deep coverage.

METHODS:

We have developed PGRNseq, a custom-capture panel of 84 genes with associations to pharmacogenetic phenotypes, as a tool to explore the relationship between drug response and genetic variation, both common and rare. We utilized a set of 32 diverse HapMap trios and two clinical cohorts to assess platform performance, accuracy, and ability to discover novel variation.

RESULTS:

We found that PGRNseq generates ultra-deep coverage data (mean=496x) that are over 99.8% concordant with orthogonal datasets. In addition, in our testing sets, PGRNseq identified many novel, rare variants of interest, underscoring its value in both research and clinical settings.

CONCLUSION:

PGRNseq is an ideal platform for carrying out sequencing-based analyses of pharmacogenetic variation in large cohorts. In addition, the high accuracy associated with genotypes from PGRNseq highlight its utility as a clinical test.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Pharmacogenet Genomics Assunto da revista: FARMACOLOGIA / GENETICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Pharmacogenet Genomics Assunto da revista: FARMACOLOGIA / GENETICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos