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lncRNA - Long Non-coding RNAs02:39

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Genetic variations associated with long noncoding RNAs.

Jianjun Luo1,2, Runsheng Chen1,2

  • 1Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.

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|October 9, 2020
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Summary
This summary is machine-generated.

Genetic variations in long noncoding RNA (lncRNA) regions impact gene function and disease development. This review explores how these genetic changes affect lncRNA functions and their roles in various conditions.

Keywords:
Genetic variationsfunctionlong noncoding RNA

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Genetic variations, such as single nucleotide polymorphisms (SNPs) and structural variations, are prevalent across the genome.
  • These variations frequently occur within long noncoding RNA (lncRNA) regions, potentially altering gene expression and function.
  • The functional impact of genetic variations in lncRNAs is an emerging area of research.

Purpose of the Study:

  • To systematically review the effects of genetic variations on lncRNA functions.
  • To discuss the correlation between lncRNA genetic variations and various diseases, including immune disorders and cancers.
  • To highlight the role of bioinformatics tools in analyzing these variations.

Main Methods:

  • Literature review of studies investigating genetic variations in lncRNAs.
  • Analysis of bioinformatics resources and tools for variation detection and functional annotation.
  • Synthesis of findings on the impact of variations on lncRNA structure and function.

Main Results:

  • Genetic variations can significantly alter lncRNA expression levels, stability, and regulatory activities.
  • Specific lncRNA variations are associated with increased susceptibility to immune diseases and cancers.
  • Bioinformatics approaches are crucial for identifying and interpreting the functional consequences of lncRNA genetic variations.

Conclusions:

  • Genetic variations within lncRNA regions have profound effects on cellular processes and disease phenotypes.
  • Understanding these variations is critical for developing novel diagnostic and therapeutic strategies.
  • Further research integrating genetic data with functional lncRNA studies is warranted.