Misexpression of inactive genes in whole blood is associated with nearby rare structural variants
Abstract Gene misexpression is the aberrant transcription of a gene in a context where it is usually inactive. Despite its known pathological consequences in specific rare diseases, we have a limited understanding of its wider prevalence and mechanisms in humans. To address this, we analyzed gene misexpression in 4,568 whole blood bulk RNA sequencing samples from INTERVAL study blood donors. We found that while individual misexpression events occur rarely, in aggregate they were found in almost all samples and over half of inactive genes. Using 2,821 paired whole genome and RNA sequencing samples, we identified that misexpression events are enriched incisfor rare structural variants. We established putative mechanisms through which a subset of SVs lead to gene misexpression, including transcriptional readthrough, transcript fusions and gene inversion. Overall, we develop misexpression as a novel type of transcriptomic outlier analysis and extend our understanding of the variety of mechanisms by which genetic variants can influence gene expression..
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Preprint| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
bioRxiv.org - (2023) vom: 22. Nov. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Vanderstichele, Thomas [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.1101/2023.11.17.567537 |
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| PPN (Katalog-ID): |
XBI041587006 |
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| 245 | 1 | 0 | |a Misexpression of inactive genes in whole blood is associated with nearby rare structural variants |
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| 520 | |a Abstract Gene misexpression is the aberrant transcription of a gene in a context where it is usually inactive. Despite its known pathological consequences in specific rare diseases, we have a limited understanding of its wider prevalence and mechanisms in humans. To address this, we analyzed gene misexpression in 4,568 whole blood bulk RNA sequencing samples from INTERVAL study blood donors. We found that while individual misexpression events occur rarely, in aggregate they were found in almost all samples and over half of inactive genes. Using 2,821 paired whole genome and RNA sequencing samples, we identified that misexpression events are enriched incisfor rare structural variants. We established putative mechanisms through which a subset of SVs lead to gene misexpression, including transcriptional readthrough, transcript fusions and gene inversion. Overall, we develop misexpression as a novel type of transcriptomic outlier analysis and extend our understanding of the variety of mechanisms by which genetic variants can influence gene expression. | ||
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| 700 | 1 | |a Burnham, Katie L |4 aut | |
| 700 | 1 | |a de Klein, Niek |4 aut | |
| 700 | 1 | |a Tardaguila, Manuel |4 aut | |
| 700 | 1 | |a Howell, Brittany |4 aut | |
| 700 | 1 | |a Walter, Klaudia |4 aut | |
| 700 | 1 | |a Kundu, Kousik |4 aut | |
| 700 | 1 | |a Koeppel, Jonas |4 aut | |
| 700 | 1 | |a Lee, Wanseon |4 aut | |
| 700 | 1 | |a Tokolyi, Alex |4 aut | |
| 700 | 1 | |a Persyn, Elodie |4 aut | |
| 700 | 1 | |a Nath, Artika P |4 aut | |
| 700 | 1 | |a Marten, Jonathan |4 aut | |
| 700 | 1 | |a Petrovski, Slavé |4 aut | |
| 700 | 1 | |a Roberts, David J |4 aut | |
| 700 | 1 | |a Di Angelantonio, Emanuele |4 aut | |
| 700 | 1 | |a Danesh, John |4 aut | |
| 700 | 1 | |a Berton, Alix |4 aut | |
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| 700 | 1 | |a Butterworth, Adam S |4 aut | |
| 700 | 1 | |a Soranzo, Nicole |4 aut | |
| 700 | 1 | |a Parts, Leopold |4 aut | |
| 700 | 1 | |a Inouye, Michael |4 aut | |
| 700 | 1 | |a Paul, Dirk S |4 aut | |
| 700 | 1 | |a Davenport, Emma E |4 aut | |
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