bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/246108

GtTR: Bayesian estimation of absolute tandem repeat copy number using sequence capture and high throughput sequencing

Ganesamoorthy, D.·Cao, M. D.·Duarte, T.·Chen, W.·Coin, L. J. M.
View original source ↗Export metadata ↓

Abstract

BackgroundTandem repeats comprise significant proportion of the human genome including coding and regulatory regions. They are highly prone to repeat number variation and nucleotide mutation due to their repetitive and unstable nature, making them a major source of genomic variation between individuals. Despite recent advances in high throughput sequencing, analysis of tandem repeats in the context of complex diseases is still hindered by technical limitations.\n\nMethodsWe report a novel targeted sequencing approach, which allows simultaneous analysis of hundreds of repeats. We developed a Bayesian algorithm, namely - GtTR - which combines information from a reference long-read dataset with a short read counting approach to genotype tandem repeats at population scale. PCR sizing analysis was used for validation.\n\nResultsWe used a PacBio long-read sequenced sample to generate a reference tandem repeat genotype dataset with on average 13% absolute deviation from PCR sizing results. Using this reference dataset GtTR generated estimates of VNTR copy number with accuracy within 95% high posterior density (HPD) intervals of 68% and 83% for capture sequence data and 200X WGS data respectively, improving to 87% and 94% with use of a PCR reference. We show that the genotype resolution increases as a function of depth, such that the median 95% HPD interval lies within 25%, 14%, 12% and 8% of the its midpoint copy number value for 30X, 200X WGS, 395X and 800X capture sequence data respectively. We validated nine targets by PCR sizing analysis and genotype estimates from sequencing results correlated well with PCR results.\n\nConclusionsThe novel genotyping approach described here presents a new cost-effective method to explore previously unrecognized class of repeat variation in GWAS studies of complex diseases at the population level. Further improvements in accuracy can be obtained by improving accuracy of the reference dataset.

Source connections

Explore related subjects

genomicsPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ganesamoorthy, D., Cao, M. D., Duarte, T., Chen, W., Coin, L. J. M.. 2018-01-10. GtTR: Bayesian estimation of absolute tandem repeat copy number using sequence capture and high throughput sequencing. https://doi.org/10.1101/246108

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Shared and divergent features of the immune response to acute and chronic Trypanosoma cruzi infection in mice revealed by cardiac transcriptomics

Chagas disease is caused by infection with Trypanosoma cruzi and can result in chronic cardiomyopathy. However, the molecular programmes that define infected cardiac tissue, and how they change as the host-parasite relationship moves from acute pathogenic infection to long-term persistence, remain incompletely understood. Here, we used RNA sequencing to characterise host transcriptional responses in cardiac tissue during both acute and chronic infection in a mouse model. Cardiac parasite distribution was defined using bioluminescence imaging and histology, and RNA sequencing was performed on anatomically standardised cardiac tissue samples collected at both stages. Acute infection was associated with a broad interferon-driven immune activation, whereas during chronic infection this network contracted, with preservation of a tightly connected antigen presentation core centred on major histocompatibility complex genes and immunoproteasome components. Genes associated with extracellular matrix remodelling and fibrosis were not broadly activated. These findings indicate that reduced, but sustained immune activation, rather than widespread fibrotic transcriptional remodelling, represents a prominent feature of cardiac tissue in chronically infected mice. They identify a transition from an overtly inflammatory, pathogen-driven acute response to a more restricted chronic host-parasite equilibrium in which immune surveillance remains transcriptionally active despite very low and spatially intermittent cardiac infection. We identified a conserved 20-gene signature shared between acute and chronic stages. This overlap is consistent with continued or episodic parasite-derived stimulation and/or intrinsic host mechanisms that maintain cardiac immune surveillance. Thus, chronic T. cruzi infection can be viewed as a persistent host-parasite association in which biological coexistence does not imply benignity: immune containment and parasite persistence can occur alongside cumulative cardiac injury.

genomics↗
bioRxiv2026

Recurrent mitotic error and purifying selection shape chromosomal mosaicism across human tissues

Mosaic chromosomal alterations (mCAs) have been extensively studied in cancer and clonal hematopoiesis but less so in healthy solid tissues. Here, we characterized mCAs in 19 tissues across 25 donors (aged 42-89+ years) by analyzing >200x whole-genome sequencing data generated by the Somatic Mosaicism across Human Tissues (SMaHT) Network. Across 722 tissue samples, we identified 1,008 autosomal mCAs >1 Mb in length and ubiquitous losses of sex chromosomes. Surprisingly, the highest levels of Y chromosome loss in males (5-10% cell fraction in elderly donors) were observed in the lung, adrenal gland, and heart. These tissues also tended to experience more X loss in females, revealing a gradient of mitotic error burden across human tissues. Autosomal aneuploidies displayed distinct tissue-specific patterns indicative of negative selection against most events, except in the adrenal gland, in which low-level aneuploidy was pervasive. In contrast to the adrenal gland, testis rarely harbored aneuploidies but frequently experienced low-level copy-neutral loss of heterozygosity (CN-LOH), suggesting increased mitotic recombination in spermatogonial stem cells. Recurrent X chromosome losses within tissues of female donors exhibited allelic skews explained by a combination of genetic and epigenetic effects. Together, these results show that the chromosomal landscape of aging human tissues is shaped by genetics and recurrent mutations, most but not all of which are held in check by purifying selection.

genomics↗
bioRxiv2026

Multi-modal in situ profiling of human cells using the AVITI24 platform characterizes single-cell responses to acute stress

Cells begin to respond to stress within minutes, but how this early response depends on cell type, neighboring cells, or cell cycle phase has been difficult to determine, because bulk assays average across cells and synchronization can induce stress. We measured 338 transcripts, 48 proteins and phosphoproteins, and six cell paint stains in situ in 1.18 million single cells from four human cell lines exposed to H2O2, alone and in co-culture, and in A549 cells exposed to TNF-, cadmium, dithiothreitol or lipopolysaccharide. In A549 cells, five distinct stressors changed the same targets in the same direction within 15 min, differing mainly in magnitude, and modestly increased JNK phosphorylation. By 30 min of H2O2 treatment, immediate-early genes (FOS, JUN, DDIT3, DUSP1, NR4A1) were induced most strongly in HCT116 and A549 cells. These changes occurred across the whole cell population rather than in a responsive subset. Cell line-specific differences persisted in co-culture, and the response of MCF7 cells did not increase with the number of adjacent, strongly-responding A549 cells. Ordering cells along the cell cycle from the same measurements identified 106 cycle-associated transcripts, and the response varied more between cell lines than among cell cycle phases. Overall, the measured regulators respond to stress within 30 minutes through a largely shared program whose magnitude depends more on cell identity than on cell cycle state or neighboring cell type.

genomics↗