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Analyzing Copy Number Variation with Droplet Digital PCR.
Bell, Avery Davis; Usher, Christina L; McCarroll, Steven A.
Affiliation
  • Bell AD; Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Usher CL; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • McCarroll SA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Methods Mol Biol ; 1768: 143-160, 2018.
Article in En | MEDLINE | ID: mdl-29717442
Many genomic segments vary in copy number among individuals of the same species, or between cancer and normal cells within the same person. Correctly measuring this copy number variation is critical for studying its genetic properties, its distribution in populations and its relationship to phenotypes. Droplet digital PCR (ddPCR) enables accurate measurement of copy number by partitioning a PCR reaction into thousands of nanoliter-scale droplets, so that a genomic sequence of interest-whose presence or absence in a droplet is determined by end-point fluorescence-can be digitally counted. Here, we describe how we analyze copy number variants using ddPCR and review the design of effective assays, the performance of ddPCR with those assays, the optimization of reactions, and the interpretation of data.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA / Polymerase Chain Reaction / DNA Copy Number Variations Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2018 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA / Polymerase Chain Reaction / DNA Copy Number Variations Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2018 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos