Evidence map›Paper›PMID 19884313›Full record

ArticleGenetics2010

High-throughput genetic mapping of mutants via quantitative single nucleotide polymorphism typing.

Sanzhen Liu, Hsin D Chen, Irina Makarevitch, Rebecca Shirmer, Scott J Emrich, Charles R Dietrich, W Brad Barbazuk, Nathan M Springer, Patrick S Schnable

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

34 citing papers in PubMed, 82 citations in OpenAlex.

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  6. MaizeThe Plant cell · 2017
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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

9 authors at 6 institutions in 3 countries.

Sanzhen LiuBiology and the Genetics Institute, University of Florida, Gainesville, Florida 32610, USA.
Hsin D Chen
Irina Makarevitch
Rebecca Shirmer
Scott J Emrich
Charles R Dietrich
W Brad Barbazuk
Nathan M Springer
Patrick S Schnable
University of Minnesota · USGenomics (United Kingdom) · GBInstitut thématique Génétique, génomique et bioinformatique · FRIowa State University · USUniversity of Florida · USUniversity of Notre Dame · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in next-generation sequencing technology have facilitated the discovery of single nucleotide polymorphisms (SNPs). Sequenom-based SNP-typing assays were developed for 1359 maize SNPs identified via comparative next-generation transcriptomic sequencing. Approximately 75% of these SNPs were successfully converted into genetic markers that can be scored reliably and used to generate a SNP-based genetic map by genotyping recombinant inbred lines from the intermated B73 x Mo17 population. The quantitative nature of Sequenom-based SNP assays led to the development of a time- and cost-efficient strategy to genetically map mutants via quantitative bulked segregant analysis. This strategy was used to rapidly map the loci associated with several dozen recessive mutants. Because a mutant can be mapped using as few as eight multiplexed sets of SNP assays on a bulk of as few as 20 mutant F(2) individuals, this strategy is expected to be widely adopted for mapping in many species.

Indexed as

MutationBreedingChromosome MappingDNA Mutational AnalysisGene FrequencyGenetic MarkersHigh-Throughput Screening AssaysPhenotypePolymorphism, Single NucleotideReproducibility of ResultsZea maysGenetic Markers

Identifiers

PMID19884313
PMCPMC2815916
OpenAlexW2163098039

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.