scholarly journals Human-specific tandem repeat expansion and differential gene expression during primate evolution

2019 ◽  
Vol 116 (46) ◽  
pp. 23243-23253 ◽  
Author(s):  
Arvis Sulovari ◽  
Ruiyang Li ◽  
Peter A. Audano ◽  
David Porubsky ◽  
Mitchell R. Vollger ◽  
...  
Keyword(s):  
Tandem Repeat ◽  
Tandem Repeats ◽  
Sequence Data ◽  
Variable Number ◽  
Specific Expression ◽  
Sequence Composition ◽  
Transcription Profiles ◽  
Long Read ◽  
Repeat Expansions ◽  
Human Specific

Short tandem repeats (STRs) and variable number tandem repeats (VNTRs) are important sources of natural and disease-causing variation, yet they have been problematic to resolve in reference genomes and genotype with short-read technology. We created a framework to model the evolution and instability of STRs and VNTRs in apes. We phased and assembled 3 ape genomes (chimpanzee, gorilla, and orangutan) using long-read and 10x Genomics linked-read sequence data for 21,442 human tandem repeats discovered in 6 haplotype-resolved assemblies of Yoruban, Chinese, and Puerto Rican origin. We define a set of 1,584 STRs/VNTRs expanded specifically in humans, including large tandem repeats affecting coding and noncoding portions of genes (e.g., MUC3A, CACNA1C). We show that short interspersed nuclear element–VNTR–Alu (SVA) retrotransposition is the main mechanism for distributing GC-rich human-specific tandem repeat expansions throughout the genome but with a bias against genes. In contrast, we observe that VNTRs not originating from retrotransposons have a propensity to cluster near genes, especially in the subtelomere. Using tissue-specific expression from human and chimpanzee brains, we identify genes where transcript isoform usage differs significantly, likely caused by cryptic splicing variation within VNTRs. Using single-cell expression from cerebral organoids, we observe a strong effect for genes associated with transcription profiles analogous to intermediate progenitor cells. Finally, we compare the sequence composition of some of the largest human-specific repeat expansions and identify 52 STRs/VNTRs with at least 40 uninterrupted pure tracts as candidates for genetically unstable regions associated with disease.

scholarly journals Robust detection of tandem repeat expansions from long DNA reads

2018 ◽  
Author(s):  
Satomi Mitsuhashi ◽  
Martin C Frith ◽  
Takeshi Mizuguchi ◽  
Satoko Miyatake ◽  
Tomoko Toyota ◽  
...  
Keyword(s):  
Tandem Repeat ◽  
Tandem Repeats ◽  
Genetic Diseases ◽  
Error Rates ◽  
Robust Detection ◽  
Sequencing Errors ◽  
Tandem Repeat Sequences ◽  
Long Read ◽  
Repeat Expansions ◽  
The Many

AbstractTandemly repeated sequences are highly mutable and variable features of genomes. Tandem repeat expansions are responsible for a growing list of human diseases, even though it is hard to determine tandem repeat sequences with current DNA sequencing technology. Recent long-read technologies are promising, because the DNA reads are often longer than the repetitive regions, but are hampered by high error rates. Here, we report robust detection of human repeat expansions from careful alignments of long (PacBio and nanopore) reads to a reference genome. Our method (tandem-genotypes) is robust to systematic sequencing errors, inexact repeats with fuzzy boundaries, and low sequencing coverage. By comparing to healthy controls, we can prioritize pathological expansions within the top 10 out of 700000 tandem repeats in the genome. This may help to elucidate the many genetic diseases whose causes remain unknown.

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

2018 ◽  
Author(s):  
Devika Ganesamoorthy ◽  
Minh Duc Cao ◽  
Tania Duarte ◽  
Wenhan Chen ◽  
Lachlan Coin
Keyword(s):  
High Throughput ◽  
Tandem Repeat ◽  
Copy Number ◽  
Tandem Repeats ◽  
High Throughput Sequencing ◽  
Sequence Data ◽  
Complex Diseases ◽  
Sequencing Analysis ◽  
Reference Dataset ◽  
Long Read

ABSTRACTBackgroundTandem 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.MethodsWe 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.ResultsWe 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.ConclusionsThe 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.

scholarly journals Slipped-Strand Mispairing at Noncontiguous Repeats in Poecilia reticulata: A Model for Minisatellite Birth

Genetics ◽  
2000 ◽  
Vol 155 (3) ◽  
pp. 1313-1320 ◽  
Author(s):  
John S Taylor ◽  
Felix Breden
Keyword(s):  
Tandem Repeat ◽  
Poecilia Reticulata ◽  
Tandem Repeats ◽  
Phylogenetic Reconstruction ◽  
Variable Number ◽  
Repeat Motif ◽  
Raw Material ◽  
Direct Repeats ◽  
Mt Dna ◽  
Variable Number Tandem Repeats

Abstract The standard slipped-strand mispairing (SSM) model for the formation of variable number tandem repeats (VNTRs) proposes that a few tandem repeats, produced by chance mutations, provide the “raw material” for VNTR expansion. However, this model is unlikely to explain the formation of VNTRs with long motifs (e.g., minisatellites), because the likelihood of a tandem repeat forming by chance decreases rapidly as the length of the repeat motif increases. Phylogenetic reconstruction of the birth of a mitochondrial (mt) DNA minisatellite in guppies suggests that VNTRs with long motifs can form as a consequence of SSM at noncontiguous repeats. VNTRs formed in this manner have motifs longer than the noncontiguous repeat originally formed by chance and are flanked by one unit of the original, noncontiguous repeat. SSM at noncontiguous repeats can therefore explain the birth of VNTRs with long motifs and the “imperfect” or “short direct” repeats frequently observed adjacent to both mtDNA and nuclear VNTRs.

scholarly journals Characterizing nucleotide variation and expansion dynamics in human-specific variable number tandem repeats

2021 ◽  
pp. gr.275560.121
Author(s):  
Meredith M Course ◽  
Arvis Sulovari ◽  
Kathryn Gudsnuk ◽  
Evan E Eichler ◽  
Paul N Valdmanis
Keyword(s):  
Tandem Repeats ◽  
Variable Number ◽  
Nucleotide Variation ◽  
Specific Variable ◽  
Variable Number Tandem Repeats ◽  
Human Specific

scholarly journals Comprehensive genetic diagnosis of tandem repeat expansion disorders with programmable targeted nanopore sequencing

2021 ◽  
Author(s):  
Igor Stevanovski ◽  
Sanjog R. Chintalaphani ◽  
Hasindu Gamaarachchi ◽  
James M. Ferguson ◽  
Sandy S. Pineda ◽  
...  
Keyword(s):  
Tandem Repeat ◽  
Tandem Repeats ◽  
Fragile X ◽  
Genetic Diagnosis ◽  
Neuromuscular Diseases ◽  
Nanopore Sequencing ◽  
Molecular Tests ◽  
Genetic Landscape ◽  
Long Read ◽  
Short Tandem

ABSTRACTShort-tandem repeat (STR) expansions are an important class of pathogenic genetic variants. Over forty neurological and neuromuscular diseases are caused by STR expansions, with 37 different genes implicated to date. Here we describe the use of programmable targeted long-read sequencing with Oxford Nanopore’s ReadUntil function for parallel genotyping of all known neuropathogenic STRs in a single, simple assay. Our approach enables accurate, haplotype-resolved assembly and DNA methylation profiling of expanded and non-expanded STR sites. In doing so, the assay correctly diagnoses all individuals in a cohort of patients (n = 27) with various neurogenetic diseases, including Huntington’s disease, fragile X syndrome and cerebellar ataxia (CANVAS) and others. Targeted long-read sequencing solves large and complex STR expansions that confound established molecular tests and short-read sequencing, and identifies non-canonical STR motif conformations and internal sequence interruptions. Even in our relatively small cohort, we observe a wide diversity of STR alleles of known and unknown pathogenicity, suggesting that long-read sequencing will redefine the genetic landscape of STR expansion disorders. Finally, we show how the flexible inclusion of pharmacogenomics (PGx) genes as secondary ReadUntil targets can identify clinically actionable PGx genotypes to further inform patient care, at no extra cost. Our study addresses the need for improved techniques for genetic diagnosis of STR expansion disorders and illustrates the broad utility of programmable long-read sequencing for clinical genomics.One sentence summaryThis study describes the development and validation of a programmable targeted nanopore sequencing assay for parallel genetic diagnosis of all known pathogenic short-tandem repeats (STRs) in a single, simple test.

Variable Number of Tandem Repeats in Zygosity Diagnosis in Twins

1990 ◽  
Vol 39 (4) ◽  
pp. 473-477 ◽  
Author(s):  
S. Costanzi Porrini ◽  
A. Sciarra ◽  
N. Sulli ◽  
M. Piane ◽  
R. Gualtieri ◽  
...  
Keyword(s):  
Population Genetics ◽  
Tandem Repeat ◽  
Tandem Repeats ◽  
Variable Number ◽  
Hla Typing ◽  
Blood Group Antigens ◽  
Length Polymorphisms ◽  
Dna Restriction ◽  
Restriction Fragment Length

AbstractThe use of DNA restriction fragment length polymorphisms (RFLP) to analyze variable number of tandem repeat (VNTR) sequences dispersed in the human genome, has become a powerful tool for the study of population genetics due to the very substantial polymorphism involved. Because the markers usually employed for twin zygosity determination (such as sex combination, placentation, HLA typing, blood group antigens, etc) may not be uniformly informative, we propose the use of synthetic olygonucleotides, representing VNTR “core” sequences, for the determination of zygosity in twins.

scholarly journals NanoSatellite: accurate characterization of expanded tandem repeat length and sequence through whole genome long-read sequencing on PromethION

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Arne De Roeck ◽  
Wouter De Coster ◽  
Liene Bossaerts ◽  
Rita Cacace ◽  
Tim De Pooter ◽  
...  
Keyword(s):  
Tandem Repeat ◽  
Large Scale ◽  
Tandem Repeats ◽  
Current Data ◽  
Flip Flop ◽  
Base Calling ◽  
Oxford Nanopore ◽  
Long Read ◽  
Technological Limitations ◽  
Repeat Assessment

AbstractTechnological limitations have hindered the large-scale genetic investigation of tandem repeats in disease. We show that long-read sequencing with a single Oxford Nanopore Technologies PromethION flow cell per individual achieves 30× human genome coverage and enables accurate assessment of tandem repeats including the 10,000-bp Alzheimer’s disease-associated ABCA7 VNTR. The Guppy “flip-flop” base caller and tandem-genotypes tandem repeat caller are efficient for large-scale tandem repeat assessment, but base calling and alignment challenges persist. We present NanoSatellite, which analyzes tandem repeats directly on electric current data and improves calling of GC-rich tandem repeats, expanded alleles, and motif interruptions.

scholarly journals Improved assembly and variant detection of a haploid human genome using single-molecule, high-fidelity long reads

2019 ◽  
Author(s):  
Mitchell R. Vollger ◽  
Glennis A. Logsdon ◽  
Peter A. Audano ◽  
Arvis Sulovari ◽  
David Porubsky ◽  
...  
Keyword(s):  
Human Genome ◽  
Single Molecule ◽  
Tandem Repeats ◽  
De Novo ◽  
Sequence Data ◽  
Gene Annotation ◽  
Hydatidiform Mole ◽  
High Fidelity ◽  
Human Genomes ◽  
Long Read

AbstractThe sequence and assembly of human genomes using long-read sequencing technologies has revolutionized our understanding of structural variation and genome organization. We compared the accuracy, continuity, and gene annotation of genome assemblies generated from either high-fidelity (HiFi) or continuous long-read (CLR) datasets from the same complete hydatidiform mole human genome. We find that the HiFi sequence data assemble an additional 10% of duplicated regions and more accurately represent the structure of tandem repeats, as validated with orthogonal analyses. As a result, an additional 5 Mbp of pericentromeric sequences are recovered in the HiFi assembly, resulting in a 2.5-fold increase in the NG50 within 1 Mbp of the centromere (HiFi 480.6 kbp, CLR 191.5 kbp). Additionally, the HiFi genome assembly was generated in significantly less time with fewer computational resources than the CLR assembly. Although the HiFi assembly has significantly improved continuity and accuracy in many complex regions of the genome, it still falls short of the assembly of centromeric DNA and the largest regions of segmental duplication using existing assemblers. Despite these shortcomings, our results suggest that HiFi may be the most effective stand-alone technology for de novo assembly of human genomes.

scholarly journals Finding Long Tandem Repeats In Long Noisy Reads

2020 ◽  
Author(s):  
Shinichi Morishita ◽  
Kazuki Ichikawa ◽  
Gene Myers
Keyword(s):  
Tandem Repeat ◽  
Error Rate ◽  
Tandem Repeats ◽  
Repeat Unit ◽  
Error Rates ◽  
De Bruijn Graph ◽  
Frequency Distributions ◽  
Sequencing Technologies ◽  
Long Reads ◽  
Repeat Expansions

Abstract Motivation Long tandem repeat expansions of more than 1000 nt have been suggested to be associated with diseases, but remain largely unexplored in individual human genomes because read lengths have been too short. However, new long-read sequencing technologies can produce single reads of 10,000 nt or more that can span such repeat expansions, although these long reads have high error rates, of 10%-20%, which complicates the detection of repetitive elements. Moreover, most traditional algorithms for finding tandem repeats are designed to find short tandem repeats (< 1000 nt) and cannot effectively handle the high error rate of long reads in a reasonable amount of time. Results Here, we report an efficient algorithm for solving this problem that takes advantage of the length of the repeat. Namely, a long tandem repeat has hundreds or thousands of approximate copies of the repeated unit, so despite the error rate, many short k-mers will be error-free in many copies of the unit. We exploited this characteristic to develop a method for first estimating regions that could contain a tandem repeat, by analyzing the k-mer frequency distributions of fixed-size windows across the target read, followed by an algorithm that assembles the k-mers of a putative region into the consensus repeat unit by greedily traversing a de Bruijn graph. Experimental results indicated that the proposed algorithm largely outperformed Tandem Repeats Finder (TRF), a widely used program for finding tandem repeats, in terms of sensitivity. Software availability https://github.com/morisUtokyo/mTR

scholarly journals CaBagE: A Cas9-based Background Elimination strategy for targeted, long-read DNA sequencing

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0241253
Author(s):  
Amelia D. Wallace ◽  
Thomas A. Sasani ◽  
Jordan Swanier ◽  
Brooke L. Gates ◽  
Jeff Greenland ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Tandem Repeats ◽  
Short Read ◽  
Background Elimination ◽  
Sequencing Technologies ◽  
Long Reads ◽  
Long Read ◽  
Repeat Expansions ◽  
Sequencing Platforms ◽  
Als Patients

A substantial fraction of the human genome is difficult to interrogate with short-read DNA sequencing technologies due to paralogy, complex haplotype structures, or tandem repeats. Long-read sequencing technologies, such as Oxford Nanopore’s MinION, enable direct measurement of complex loci without introducing many of the biases inherent to short-read methods, though they suffer from relatively lower throughput. This limitation has motivated recent efforts to develop amplification-free strategies to target and enrich loci of interest for subsequent sequencing with long reads. Here, we present CaBagE, a method for target enrichment that is efficient and useful for sequencing large, structurally complex targets. The CaBagE method leverages the stable binding of Cas9 to its DNA target to protect desired fragments from digestion with exonuclease. Enriched DNA fragments are then sequenced with Oxford Nanopore’s MinION long-read sequencing technology. Enrichment with CaBagE resulted in a median of 116X coverage (range 39–416) of target loci when tested on five genomic targets ranging from 4-20kb in length using healthy donor DNA. Four cancer gene targets were enriched in a single reaction and multiplexed on a single MinION flow cell. We further demonstrate the utility of CaBagE in two ALS patients with C9orf72 short tandem repeat expansions to produce genotype estimates commensurate with genotypes derived from repeat-primed PCR for each individual. With CaBagE there is a physical enrichment of on-target DNA in a given sample prior to sequencing. This feature allows adaptability across sequencing platforms and potential use as an enrichment strategy for applications beyond sequencing. CaBagE is a rapid enrichment method that can illuminate regions of the ‘hidden genome’ underlying human disease.

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