Your browser doesn't support javascript.
loading
Advances in the discovery and analyses of human tandem repeats.
Chaisson, Mark J P; Sulovari, Arvis; Valdmanis, Paul N; Miller, Danny E; Eichler, Evan E.
Affiliation
  • Chaisson MJP; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, U.S.A.
  • Sulovari A; The Genomic and Epigenomic Regulation Program, USC Norris Cancer Center, University of Southern California, Los Angeles, CA 90089, U.S.A.
  • Valdmanis PN; Computational Biology, Cajal Neuroscience Inc, Seattle, WA 98102, U.S.A.
  • Miller DE; Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, U.S.A.
  • Eichler EE; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, U.S.A.
Emerg Top Life Sci ; 7(3): 361-381, 2023 Dec 14.
Article in En | MEDLINE | ID: mdl-37905568
ABSTRACT
Long-read sequencing platforms provide unparalleled access to the structure and composition of all classes of tandemly repeated DNA from STRs to satellite arrays. This review summarizes our current understanding of their organization within the human genome, their importance with respect to disease, as well as the advances and challenges in understanding their genetic diversity and functional effects. Novel computational methods are being developed to visualize and associate these complex patterns of human variation with disease, expression, and epigenetic differences. We predict accurate characterization of this repeat-rich form of human variation will become increasingly relevant to both basic and clinical human genetics.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA / Tandem Repeat Sequences Limits: Humans Language: En Journal: Emerg Top Life Sci Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA / Tandem Repeat Sequences Limits: Humans Language: En Journal: Emerg Top Life Sci Year: 2023 Document type: Article Affiliation country: United States