ReviewTrends in genetics : TIG2013
Finding the lost treasures in exome sequencing data.
Review in Trends in genetics : TIG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
80 citing papers in PubMed, 133 citations in OpenAlex.
- Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population.PloS one · 2018Trial
- Article
- Comparative mitogenomics of marine angelfishes (F: Pomacanthidae).Ecology and evolution · 2024Article
- Nucleic acid degradation after long-term dried blood spot storage.Molecular ecology resources · 2024Article
- Detection of elusive DNA copy-number variations in hereditary disease and cancer through the use of noncoding and off-target sequencing reads.American journal of human genetics · 2024Article
- The effect of missing data on evolutionary analysis of sequence capture bycatch, with application to an agricultural pest.Molecular genetics and genomics : MGG · 2024Article
- Transcriptional and functional predictors of potato virus Y-induced tuber necrosis in potato (Frontiers in plant science · 2024Article
- Whole-Exome and Transcriptome Sequencing Expands the Genotype of Majewski Osteodysplastic Primordial Dwarfism Type II.International journal of molecular sciences · 2023Article
- Evaluating the Transition from Targeted to Exome Sequencing: A Guide for Clinical Laboratories.International journal of molecular sciences · 2023Article
- Comparative analysis between highFrontiers in oncology · 2023Article
- hgtseq: A Standard Pipeline to Study Horizontal Gene Transfer.International journal of molecular sciences · 2022Article
- Fishing for DNA? Designing baits for population genetics in target enrichment experiments: Guidelines, considerations and the new tool supeRbaits.Molecular ecology resources · 2022Article
- Integrated bioinformatic pipeline using whole-exome and RNAseq data to identify germline variants correlated with cancer.STAR protocols · 2022Article
- Glycosyltransferases: Mining, engineering and applications in biosynthesis of glycosylated plant natural products.Synthetic and systems biotechnology · 2022Article
- SavvyCNV: Genome-wide CNV calling from off-target reads.PLoS computational biology · 2022Article
- Structural and functional analysis of somatic coding and UTR indels in breast and lung cancer genomes.Scientific reports · 2021Article
- Distinct genetic landscape and a low response to doxorubicin in a luminal-A breast cancer cell line of Pakistani origin.Molecular biology reports · 2021Article
- Cross-species Exon Capture and Whole Exome Sequencing: Application, Utility and Challenges for Genomic Resource Development in Non-model Species.Marine biotechnology (New York, N.Y.) · 2021Article
- Mitochondrial DNA Analysis from Exome Sequencing Data Improves Diagnostic Yield in Neurological Diseases.Annals of neurology · 2021Article
- A novel cause ofEJHaem · 2021Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Exome sequencing is one of the most cost-efficient sequencing approaches for conducting genome research on coding regions. However, significant portions of the reads obtained in exome sequencing come from outside of the designed target regions. These additional reads are generally ignored, potentially wasting an important source of genomic data. There are three major types of unintentionally sequenced read that can be found in exome sequencing data: reads in introns and intergenic regions, reads in the mitochondrial genome, and reads originating in viral genomes. All of these can be used for reliable data mining, extending the utility of exome sequencing. Large-scale exome sequencing data repositories, such as The Cancer Genome Atlas (TCGA), the 1000 Genomes Project, National Heart, Lung, and Blood Institute (NHLBI) Exome Sequencing Project, and The Sequence Reads Archive, provide researchers with excellent secondary data-mining opportunities to study genomic data beyond the intended target regions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.