Mind the gap: the relevance of the genome reference to resolve rare and pathogenic inversions.

Both long-read genome sequencing (lrGS) and the recently published Telomere to Telomere (T2T) reference genome provide increased coverage and resolution across repetitive regions promising heightened structural variant detection and improved mapping. Inversions (INV), intrachromosomal segments which are rotated 180° and inserted back into the same chromosome, are a class of structural variants particularly challenging to detect due to their copy-number neutral state and association with repetitive regions. Inversions represent about 1/20 of all balanced structural chromosome aberrations and can lead to disease by gene disruption or altering regulatory regions of dosage sensitive genes in cis . Here we remapped the genome data from six individuals carrying unsolved cytogenetically detected inversions. An INV6 and INV10 were resolved using GRCh38 and T2T-CHM13. Finally, an INV9 required optical genome mapping, de novo assembly of lrGS data and T2T-CHM13. This inversion disrupted intron 25 of EHMT1, confirming a diagnosis of Kleefstra syndrome 1 (MIM#610253). These three inversions, only mappable in specific references, prompted us to investigate the presence and population frequencies of differential reference regions (DRRs) between T2T-CHM13, GRCh37, GRCh38, the chimpanzee and bonobo, and hundreds of megabases of DRRs were identified. Our results emphasize the significance of the chosen reference genome and the added benefits of lrGS and optical genome mapping in solving rearrangements in challenging regions of the genome. This is particularly important for inversions and may impact clinical diagnostics.

Combining VPS34 inhibitors with STING agonists enhances type I interferon signaling and anti-tumor efficacy.

An immunosuppressive tumor microenvironment promotes tumor growth and is one of the main factors limiting the response to cancer immunotherapy. We have previously reported that inhibition of vacuolar protein sorting 34 (VPS34), a crucial lipid kinase in the autophagy/endosomal trafficking pathway, decreases tumor growth in several cancer models, increases infiltration of immune cells and sensitizes tumors to anti-programmed cell death protein 1/programmed cell death 1 ligand 1 therapy by upregulation of C-C motif chemokine 5 (CCL5) and C-X-C motif chemokine 10 (CXCL10) chemokines. The purpose of this study was to investigate the signaling mechanism leading to the VPS34-dependent chemokine increase. NanoString gene expression analysis was applied to tumors from mice treated with the VPS34 inhibitor SB02024 to identify key pathways involved in the anti-tumor response. We showed that VPS34 inhibitors increased the secretion of T-cell-recruitment chemokines in a cyclic GMP-AMP synthase (cGAS)/stimulator of interferon genes protein (STING)-dependent manner in cancer cells. Both pharmacological and small interfering RNA (siRNA)-mediated VPS34 inhibition increased cGAS/STING-mediated expression and secretion of CCL5 and CXCL10. The combination of VPS34 inhibitor and STING agonist further induced cytokine release in both human and murine cancer cells as well as monocytic or dendritic innate immune cells. Finally, the VPS34 inhibitor SB02024 sensitized B16-F10 tumor-bearing mice to STING agonist treatment and significantly improved mice survival. These results show that VPS34 inhibition augments the cGAS/STING pathway, leading to greater tumor control through immune-mediated mechanisms. We propose that pharmacological VPS34 inhibition may synergize with emerging therapies targeting the cGAS/STING pathway.

Discovery of non-reference processed pseudogenes in the Swedish population.

The vast majority of the human genome is non-coding. There is a diversity of non-coding features, some of which have functional importance. Although the non-coding regions constitute the majority of the genome, they remain understudied, and for a long time, these regions have been referred to as junk DNA. Pseudogenes are one of these features. A pseudogene is a non-functional copy of a protein-coding gene. Pseudogenes may arise through a variety of genetic mechanisms. Processed pseudogenes are formed through reverse transcription of mRNA by LINE elements, after which the cDNA is integrated into the genome. Processed pseudogenes are known to be variable across populations; however, the variability and distribution remains unknown. Herein, we apply a custom-designed processed pseudogene pipeline on the whole genome sequencing data of 3,500 individuals; 2,500 individuals from the thousand genomes dataset, as well as 1,000 Swedish individuals. Through these analyses, we discover over 3,000 pseudogenes missing from the GRCh38 reference. Utilising our pipeline, we position 74% of the detected processed pseudogenes-allowing for analyses of formation. Notably, we find that common structural variant callers, such as Delly, classify the processed pseudogenes as deletion events, which are later predicted to be truncating variants. By compiling lists of non-reference processed pseudogenes and their frequencies, we find a great variability of pseudogenes; indicating that non-reference processed pseudogenes may be useful for DNA testing and as population-specific markers. In summary, our findings highlight a great diversity of processed pseudogenes, that processed pseudogenes are actively formed in the human genome; and that our pipeline may be used to reduce false positive structural variation caused by the misalignment and subsequent misclassification of non-reference processed pseudogenes.

Transposable element insertions in 1000 Swedish individuals.

The majority of rare diseases are genetic, and regardless of advanced high-throughput genomics-based investigations, 60% of patients remain undiagnosed. A major factor limiting our ability to identify disease-causing alterations is a poor understanding of the morbid and normal human genome. A major genomic contributor of which function and distribution remain largely unstudied are the transposable elements (TE), which constitute 50% of our genome. Here we aim to resolve this knowledge gap and increase the diagnostic yield of rare disease patients investigated with clinical genome sequencing. To this end we characterized TE insertions in 1000 Swedish individuals from the SweGen dataset and 2504 individuals from the 1000 Genomes Project (1KGP), creating seven population-specific TE insertion databases. Of note, 66% of TE insertions in SweGen were present at >1% in the 1KGP databases, proving that most insertions are common across populations. Focusing on the rare TE insertions, we show that even though ~0.7% of those insertions affect protein coding genes, they rarely affect known disease casing genes (<0.1%). Finally, we applied a TE insertion identification workflow on two clinical cases where disease causing TE insertions were suspected and could verify the presence of pathogenic TE insertions in both. Altogether we demonstrate the importance of TE insertion detection and highlight possible clinical implications in rare disease diagnostics.