Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

The Hereditary and Epigenetic Fusion Gene Signatures of Multiple Myeloma

Ling Fei, Noah Zhuo, View ORCID ProfileDegen Zhuo
doi: https://doi.org/10.1101/2022.12.05.519213
Ling Fei
1Dept of Cardiology, The Affiliated Hospital of North Sichuan, ChengduXinhua Hospital, Cheng Du, 610055, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Noah Zhuo
2SplicinagCodes, BioTailor Inc, 7328 SW 82nd Street, #B114, Miami, FL 33143 USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Degen Zhuo
2SplicinagCodes, BioTailor Inc, 7328 SW 82nd Street, #B114, Miami, FL 33143 USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Degen Zhuo
  • For correspondence: degen.zhuo@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

ABSTRACT

Fusion transcripts are thought to be somatic and associated with cancer. However, they have been observed in healthy tissues at high recurrent frequencies. We have used SCIF (SplicingCodes Identify Fusion Transcripts) to analyze RNA-Seq data from 727 multiple myeloma (MM) patients of the MMRF CoMMpass Study. MTG1-SCART1, SCART1-CYP2E1, and TPM4-KLF2 have been detected in 96.1%, 95.7%, and 92.2% of 727 MM patients and formed fusion gene signatures. MTG1-SCART1 and SCART1-CYP2E1 are read-through from the same locus and the two most recurrent epigenetic fusion genes (EFGs) out of 187 EFGs detected in ≥10% of 727 MM patients. TPM4-KLF2 fusion gene, which was initially thought to be somatic, has been shown by a monozygotic twin genetic model to be a hereditary fusion gene (HFG) and the dominant genetic factor associated with MM. This work provides the first line of evidence that HFGs are the genetic factors and EFGs reflect the consequences between genetics and environments during development.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted December 08, 2022.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
The Hereditary and Epigenetic Fusion Gene Signatures of Multiple Myeloma
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
The Hereditary and Epigenetic Fusion Gene Signatures of Multiple Myeloma
Ling Fei, Noah Zhuo, Degen Zhuo
bioRxiv 2022.12.05.519213; doi: https://doi.org/10.1101/2022.12.05.519213
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
The Hereditary and Epigenetic Fusion Gene Signatures of Multiple Myeloma
Ling Fei, Noah Zhuo, Degen Zhuo
bioRxiv 2022.12.05.519213; doi: https://doi.org/10.1101/2022.12.05.519213

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Cancer Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4235)
  • Biochemistry (9136)
  • Bioengineering (6784)
  • Bioinformatics (24001)
  • Biophysics (12129)
  • Cancer Biology (9534)
  • Cell Biology (13778)
  • Clinical Trials (138)
  • Developmental Biology (7636)
  • Ecology (11702)
  • Epidemiology (2066)
  • Evolutionary Biology (15513)
  • Genetics (10644)
  • Genomics (14326)
  • Immunology (9483)
  • Microbiology (22840)
  • Molecular Biology (9090)
  • Neuroscience (48995)
  • Paleontology (355)
  • Pathology (1482)
  • Pharmacology and Toxicology (2570)
  • Physiology (3846)
  • Plant Biology (8331)
  • Scientific Communication and Education (1471)
  • Synthetic Biology (2296)
  • Systems Biology (6192)
  • Zoology (1301)