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Scalable Functional Assays for the Interpretation of Human Genetic Variation.
Tabet, Daniel; Parikh, Victoria; Mali, Prashant; Roth, Frederick P; Claussnitzer, Melina.
Affiliation
  • Tabet D; Donnelly Centre, Department of Molecular Genetics, and Department of Computer Science, University of Toronto, Toronto, Ontario, Canada; email: fritz.roth@utoronto.ca.
  • Parikh V; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada.
  • Mali P; Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Roth FP; Department of Bioengineering, University of California, San Diego, California, USA.
  • Claussnitzer M; Donnelly Centre, Department of Molecular Genetics, and Department of Computer Science, University of Toronto, Toronto, Ontario, Canada; email: fritz.roth@utoronto.ca.
Annu Rev Genet ; 56: 441-465, 2022 11 30.
Article in En | MEDLINE | ID: mdl-36055970
Scalable sequence-function studies have enabled the systematic analysis and cataloging of hundreds of thousands of coding and noncoding genetic variants in the human genome. This has improved clinical variant interpretation and provided insights into the molecular, biophysical, and cellular effects of genetic variants at an astonishing scale and resolution across the spectrum of allele frequencies. In this review, we explore current applications and prospects for the field and outline the principles underlying scalable functional assay design, with a focus on the study of single-nucleotide coding and noncoding variants.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Genome, Human Limits: Humans Language: En Journal: Annu Rev Genet Year: 2022 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Genome, Human Limits: Humans Language: En Journal: Annu Rev Genet Year: 2022 Type: Article