Discovery of a polymorphic gene fusion via bottom-up chimeric RNA prediction

Author:

Elfman Justin1ORCID,Goins Lynette2,Heller Tessa1,Singh Sandeep13,Wang Yuh-Hwa1ORCID,Li Hui14ORCID

Affiliation:

1. Department of Biochemistry and Molecular Genetics, University of Virginia , Charlottesville, VA  22903 , USA

2. Department of Biological Sciences, Clemson University , Clemson, SC  29631 , USA

3. Computational Toxicology Facility, CSIR-Indian Institute of Toxicology Research , Lucknow, 226001, Uttar Pradesh ,  India

4. Department of Pathology, University of Virginia , Charlottesville, VA  22903 , USA

Abstract

Abstract Gene fusions and their chimeric products are commonly linked with cancer. However, recent studies have found chimeric transcripts in non-cancer tissues and cell lines. Large-scale efforts to annotate structural variations have identified gene fusions capable of generating chimeric transcripts even in normal tissues. In this study, we present a bottom-up approach targeting population-specific chimeric RNAs, identifying 58 such instances in the GTEx cohort, including notable cases such as SUZ12P1–CRLF3, TFG–ADGRG7 and TRPM4–PPFIA3, which possess distinct patterns across different ancestry groups. We provide direct evidence for an additional 29 polymorphic chimeric RNAs with associated structural variants, revealing 13 novel rare structural variants. Additionally, we utilize the All of Us dataset and a large cohort of clinical samples to characterize the association of the SUZ12P1–CRLF3-causing variant with patient phenotypes. Our study showcases SUZ12P1–CRLF3 as a representative example, illustrating the identification of elusive structural variants by focusing on those producing population-specific fusion transcripts.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

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