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At least 19 recordsLinked to original sources

The reading Miscue Inventory. A promising approach to diagnosis of the reading-disabled.

Reading Miscue Inventory--RMI--opens avenues of dealing with the reading process in a scientific and process-oriented fashion which can lead to further refining of the theoretical base upon which reading is founded as well as providing diagnostic information for use by reading specialists. From such information, reading specialists are able to develop remediation on an individualized basis. Appropriate materials, procedures, and practices are developed from the qualitative analysis of miscues rather than from the information provided by standardized achievement or diagnostic reading tests. In sights are gained regarding a child's ability to use the complex process of reading. Remediation of disability, at the appropriate place in the process, is based on assumptions regarding the interrelationship of thought and language. Reading specialists are looking to psycholinguists for theoretical bases upon which to build models of the reading process. Qualitative miscue analysis is based upon recently proposed notions of the psycholinguistic nature of reading. Common concepts and understanding regarding reading and assessment of reading disability may facilitate learning disability teams in their diagnostic and remedial procedures. Until recently, these discussions have occurred mainly in reading-related research and in education circles, but learing disabilities teams are beginning to participate in the refining and clarifying of these notions of assessment and remediation. Regardless of the eventual outcome, the necessity for considering these views is basic to a fuller understanding of ways in which learning-disabled children may be helped.

Child

Blended Length Genome Sequencing (blend-seq): Combining Short Reads with Low-Coverage Long Reads to Maximize Variant Discovery.

We introduce blend-seq, a workflow for combining data from traditional short-read sequencing pipelines with low-coverage long reads, to improve variant discovery for single samples without the full cost of high-coverage long reads. We demonstrate that with only 4x long-read coverage augmenting 30x short reads, we can improve SNP discovery across the genome, exceeding performance beyond even high-coverage short reads (60x). For genotype-agnostic discovery of structural variants, we see a threefold improvement in recall while maintaining precision by using the low-coverage long reads on their own, and show how we can improve genotyping accuracy by adding in the short-read data. In addition, we demonstrate how the long reads can better phase these variants, incorporating long-context information in the genome to substantially outperform phasing with short reads alone. Our experiments highlight the complementary nature of short- and long-read technologies: the former contributing higher depth for genotyping and the latter better resolution of larger events or those in difficult regions.

cost optimization

"Paired reading" tuition: a preliminary report on a technique for cases of reading deficit.

A simple and flexible reading tuition procedure is described, incorporating simultaneous reading and verbally reinforced individual reading, utilizing any reading material of the child's choice, and maximizing continuous adaptation to individual reading behaviour. Three reading-deficient children tutored by "paired reading" are presented, indicating a clear increase in the percentage of words correctly read and reaching statistical significance over twelve hours of tuition.

Anxiety

Amaranth: enhanced single-cell transcript assembly via discriminative modelling of UMI reads and internal reads.

MOTIVATION: Single-cell RNA sequencing (scRNA-seq) has transformed transcriptome profiling at cellular resolution, yet accurate reconstruction of full-length transcripts for individual cells remains a central challenge. Emerging scRNA-seq protocols can produce reads that span entire transcripts, enabling isoform-level expression analysis. For example, Smart-seq protocols combine unique molecular identifier (UMI)-linked reads that index and stitch together multiple reads from the same molecule, with internal reads filling coverage gaps. We demonstrate that these read types exhibit markedly different biological and statistical properties in strandness, 5'/3' coverage bias, and genomic locality. Existing assemblers fail to leverage these distinctions, yielding suboptimal assembly. RESULTS: We developed Amaranth, a novel single-cell assembler that discriminatively models UMI and internal reads. Amaranth implements heuristics specifically designed to address the distinct biases of UMI-linked and internal reads, enabling accurate strandness assignment for internal reads, reliable splicing graph refinement, and precise transcript start site determination. We also developed Amaranth-meta, which integrates information across cells to enhance individual cell assemblies. Benchmarked on Smart-seq3 datasets from human HEK293T and mouse fibroblast cells, Amaranth outperformed other state-of-the-art assemblers in assembling individual cells and in meta-assembly. Amaranth advances isoform-level analysis in single-cell transcriptomics, facilitating detailed studies at cellular resolution. AVAILABILITY AND IMPLEMENTATION: Amaranth is implemented in C++ and is freely available at https://github.com/Shao-Group/amaranth under the BSD-3-Clause license. Scripts, documentation, and data for reproducing experiments in this manuscript are available at https://github.com/Shao-Group/amaranth-test.

Single-Cell Gene Expression Analysis

Integrative Genotyping and Analysis of Canine Structural Variation Using Long-read and Short-read Data.

Structural variation makes an important contribution to canine evolution and phenotypic differences. Although recent advances in long-read sequencing have enabled the generation of multiple canine genome assemblies, most prior analyses of structural variation have relied on short-read sequencing. To offer a more complete assessment of structural variation in canines, we performed an integrative analysis of structural variants present in 12 canine samples with available long-read and short-read sequencing data along with genome assemblies. Use of long-reads permits the discovery of heterozygous variation that is absent in existing haploid assembly representations while offering a marked increase in the ability to identify insertion variants relative to short-read approaches. Examination of the size spectrum of structural variants shows that dimorphic LINE-1 and SINE variants account for over 45% of all deletions and identified 1,410 LINE-1s with intact open reading frames that show presence-absence dimorphism. Using a graph-based approach, we genotype newly discovered structural variants in an existing collection of 1,879 resequenced dogs and wolves, generating a variant catalog containing a 56.5% increase in the number of deletions and 705% increase in the number of insertions previously found in the analyzed samples. Examination of allele frequencies across admixture components present across breed clades identified 283 structural variants evolving with a signature of selection.

Animals

Long-read sequencing reveals putatively mobilizable resistance genes and multi-drug resistance plasmids underestimated by short-read metagenomics.

While shotgun metagenomics is often used to profile antibiotic resistome in gut microbial communities, few studies have investigated if the choice of sequencing platform and assembly strategy affect what mobile genetic elements and antimicrobial resistance genes are recovered. In this study, we compared three platforms (Illumina, Oxford Nanopore, and PacBio HiFi) and seven assembly strategies on gut metagenomes from cattle, pig, and human as case studies. Long-read assemblies recovered 5- to 7-fold more plasmid sequence than Illumina in cattle and pig (mean 17.0 Mb vs. 3.1 Mb), while Illumina performed comparably in the less diverse human gut where high per-species coverage enabled effective short-read plasmid assembly. Long reads also detected more resistance genes on plasmid contigs. Hybrid assembly results depended on the algorithm: scaffolding-based OPERA-MS preserved long-read contiguity and recovered more plasmid-borne resistance genes, while the short-read-centric metaSPAdes hybrid mode produced fragmented assemblies. After collapsing haplotype redundancy, PacBio HiFi identified 2 and 49 unique multi-drug resistance plasmid lineages in cattle and pig, respectively. On the other hand, only 2 and 4 were identified from Illumina. Long reads also placed far more ARGs in a putative mobilization context (50-73%) compared to 14-21% for short reads. Platform and assembly strategy are thus key variables in mobilome and resistome characterization and should be accounted for in antimicrobial resistance surveillance.

Animals

Functional Reading Activities to Motivate and Empower: Maintenance of Reading Outcomes for Young Adults With Intellectual and Developmental Disabilities Following a Randomized Controlled Trial.

PURPOSE: This study examined whether the effects of Functional Reading Activities to Motivate and Empower (FRAME), a functional, strategy-based reading comprehension intervention for young adults with intellectual and developmental disabilities (IDDs), were maintained 6 months following the completion of the intervention and explored participants' perceptions of the intervention's feasibility, relevance, and perceived impact. METHOD: Participants were 44 young adults with IDDs (ages 18-26 years) who participated in a previously reported randomized controlled trial (FRAME participants: n = 23; controls: n = 21). Trial outcomes were assessed via telepractice at pretest, posttest, and 6-month follow-up. Six-month maintenance analyses focused on outcomes that demonstrated significant posttest group differences: use of (a) reading comprehension strategies (proximal) and (b) reading comprehension questions (distal). Participant perceptions (social validity) were collected post-intervention from FRAME participants using a structured interview protocol with closed- and open-ended items. RESULTS: At the 6-month follow-up, FRAME participants demonstrated sustained but reduced improvements in strategy use relative to controls (p = .040). Between-groups differences were not maintained for reading comprehension questions (p = .091). Participants reported high acceptability and perceived relevance of FRAME, with qualitative themes reflecting perceived improvements in comprehension, self-improvement, and increased independence. CONCLUSION: Findings suggest that FRAME supports sustainable gains in reading comprehension strategy use and is perceived as meaningful and feasible for young adults with IDDs, although additional supports may be needed to promote sustained improvements in distal comprehension outcomes. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.33307218.

Humans

Comparison of a long-read amplicon sequencing approach to short-read amplicons for microbiome analysis.

Most microbiome studies to date rely on sequencing short amplicons of the 16S rRNA gene on Illumina's platforms. Because of the short read length, sequences often can be identified reliably only to the family or genus levels. Long read sequencing with whole-length 16S rRNA sequencing can improve taxonomic resolution, but often only to the species level. StrainID is an alternative approach that amplifies a large segment of the ribosomal operon, including the entire 16S rRNA gene, internal transcribed spacer, and a portion of the 23S rRNA gene. This longer amplicon is designed to allow ribotype-level classification. Although studies have demonstrated the utility of StrainID for several sample types, it has not yet been validated for saliva. Here, we compared the performance of StrainID to short read amplicons with saliva samples as well as a synthetic mock DNA community and human and mouse fecal samples. Short reads were amplified with primer pairs appropriate for the corresponding sample type, and were classified with two different taxonomic databases. For both saliva and fecal samples, we found that StrainID performed similarly to short reads overall and demonstrated a key benefit with phylogenetic-based beta diversity tests and taxonomic classification. Our results further build on establishing StrainID as a valid method and specifically validate its use with saliva samples.

Journal Article

Structural variant discovery and diagnostic impact in rare diseases from short-read and long-read sequencing.

Rare diseases collectively affect 1 in 10 individuals, yet current genetic testing fails to identify a causal variant for most cases. At present, cytogenetic methods and/or sequencing approaches such as exome (ES) or short-read genome sequencing (srGS) represent the state-of-the-art for comprehensive clinical discovery of sequence and structural variants (SVs), including copy number variants, balanced SVs, complex SVs, and tandem repeats (TRs). Recently, long-read genome sequencing (lrGS), coupled with multiomics data, has presented great promise to resolve variation in genomic regions recalcitrant to characterization by srGS such as highly repetitive simple repeat sequences and segmental duplications. However, there are few guidelines to enable clinical interpretation of genetic variation in these highly repetitive genomic regions, and the enthusiasm of the field in adopting lrGS has made it difficult to assess the true added diagnostic yield of this technology due to widely variable and inconsistently applied analytic pipelines and variable degrees of pre-screening by ES or srGS. Here, we investigated the contribution of SVs to rare diseases using srGS as a front-line strategy when paired with highly sensitive SV discovery and evaluate the added diagnostic yield of incorporating lrGS for a subset of cases. Our srGS analysis encompassed 1,462 families (3,450 individuals) recruited through the Broad Institute Center for Mendelian Genetics and the Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) programs. Diagnostic SVs were identified in 5.4% of cases (79/1,462), of which 80% were uniquely detectable by srGS compared to standard cytogenetic techniques. For 96 families (including 10 families with a heterozygous variant observed in a known recessive gene of clinical relevance), we performed lrGS with methylation profiling, as well as long-read transcriptomic analyses in a subset of 20 trios. Analyses with lrGS yielded over 25,000 SVs per genome, 63% of which were not captured by srGS, along with an additional ~200 rare SNV/indels per genome not previously captured and 12 differentially methylated regions per genome. Among these, we identified only one diagnostic variant not interpreted by srGS, an apparently mosaic de novo SNV in CASK that was absent in the srGS callset due to allelic imbalance. No new diagnoses were supported by long-read transcriptomics or episignatures. In this well characterized rare disease cohort, the added diagnostic yield was thus 1.04% (1/96 families). Following a systematic literature review of prior lrGS studies, we find that most reported diagnoses were detectable by srGS and that our added diagnostic yield is consistent with those prior studies. These studies emphasize the significant impact of comprehensive SV discovery in rare disease cases and further demonstrate the power for increased discovery of novel genomic variation and episignatures from lrGS. Nonetheless, they also serve to temper expectations of dramatic diagnostic advances in rare disease patients until there is more extensive annotation of the functional and clinical impact of all coding and noncoding variation uniquely accessible to lrGS with extensive reference databases spanning highly repetitive genomic sequencing that could be enabled by this transformative technology.

Journal Article

Neural efficiency analyzer scores of reading disabled, normally reading and academically superior children.

Usefulness, under field-testing conditions, of one version of a Neural Efficiency Analygated. The equipment was said to measure efficiency of information processing as reflected in time between alternate EEG falling zero-crossing points. Special emphasis was placed on the difference score, a measure of right-left hemisphere "efficiency" differences. Contrary to earlier reports, no significant differences were found between such scores of groups of reading disabled, normally reading, and academically superior children. Possible reasons for the negative findings are explored.

Achievement

Is the Autorefractor reading closest to manifest refraction? A comparison of the patient's previous spectacles and the 6600 Autorefractor reading.

In a study of 56 patients, the old glasses of a previously refracted individual were as close to the final subjective refraction as the reading obtained with a 6600 Autorefractor. Therefore, the previous spectacle correction might logically be used for the starting point of a subjective refraction, with retinoscopy or automatic refractor results being used for this purpose in patients whose previous spectacle refraction is unknown or in the first refraction of an aphakic patients.

Computers