Evidence map›Paper›PMID 10407782›Full record

ReviewJournal of inherited metabolic disease1999

Automated mutation analysis.

D Ravine

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of inherited metabolic disease, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Diagnostic uses of DNA analysis: powerful but problematic.Journal of inherited metabolic disease · 1999
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

D RavineInstitute of Medical Genetics, University of Wales College of Medicine, Cardiff, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated mutation analysis brings with it a vastly increased capacity in the number of test samples that can be processed at a time, as well as much improved test reproducibility. Until now, the introduction of automation into this field had been restricted to the use of semiautomated sequencing systems to make the most of the sequence information extractable from a single lane in an electrophoretic gel or in a polymer-filled glass capillary. Much effort is now being directed into harnessing the potential of DNA microarrays (DNA chips) and there is increasing interest in the potential of matrix-assisted mass spectrometry for determining the detail of large nucleic acid molecules. Meanwhile, there are other important recent developments already available, including robotic workstations, the further development of the allele-specific oligonucleotide assay into microtitre formats, and its use with fluorescence for real-time quantitative PCR analysis. Implementation of these developments in appropriate settings can further streamline the routine of molecular diagnostic laboratories, allowing them to take greater advantage of the recent surge of gene discoveries and their associated disease-causing mutations.

Indexed as

AutomationDNA Mutational AnalysisHumansMutationSequence Analysis, DNA

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.