ArticleBMC genomics2014
Microarray-based ultra-high resolution discovery of genomic deletion mutations.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- Genetic Variations in Vesicoureteral Reflux Sequelae.Pathogens (Basel, Switzerland) · 2016Review
- Gene Overexpression Resources in Cereals for Functional Genomics and Discovery of Useful Genes.Frontiers in plant science · 2016Review
- Microarray-based optimization to detect genomic deletion mutations.Genomics data · 2014Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundOligonucleotide microarray-based comparative genomic hybridization (CGH) offers an attractive possible route for the rapid and cost-effective genome-wide discovery of deletion mutations. CGH typically involves comparison of the hybridization intensities of genomic DNA samples with microarray chip representations of entire genomes, and has widespread potential application in experimental research and medical diagnostics. However, the power to detect small deletions is low.
resultsHere we use a graduated series of Arabidopsis thaliana genomic deletion mutations (of sizes ranging from 4 bp to ~5 kb) to optimize CGH-based genomic deletion detection. We show that the power to detect smaller deletions (4, 28 and 104 bp) depends upon oligonucleotide density (essentially the number of genome-representative oligonucleotides on the microarray chip), and determine the oligonucleotide spacings necessary to guarantee detection of deletions of specified size.
conclusionsOur findings will enhance a wide range of research and clinical applications, and in particular will aid in the discovery of genomic deletions in the absence of a priori knowledge of their existence.
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