Evidence map›Paper›PMID 15579712›Full record

ArticleGenetics2004

Haplotype structure and phenotypic associations in the chromosomal regions surrounding two Arabidopsis thaliana flowering time loci.

Jenny Hagenblad, Chunlao Tang, John Molitor, Jonathan Werner, Keyan Zhao, Honggang Zheng, Paul Marjoram, Detlef Weigel, Magnus Nordborg

Abstract read
In one paragraph

Article in Genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. A Single-Nucleotide Polymorphism in the Promoter of PorcineFrontiers in cell and developmental biology · 2022
    Article
  2. Article
  3. Identification of single nucleotide polymorphisms ofJournal of animal science and biotechnology · 2019
    Article
  4. Article
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  10. Review
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  12. Article
  13. Association mapping of Stagonospora nodorum blotch resistance in modern European winter wheat varieties.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2007
    Article
  14. Review
  15. Article
  16. Article
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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.

Jenny HagenbladMolecular and Computational Biology Program, University of Southern California, Los Angeles, California 90089, USA.
Chunlao Tang
John Molitor
Jonathan Werner
Keyan Zhao
Honggang Zheng
Paul Marjoram
Detlef Weigel
Magnus Nordborg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The feasibility of using linkage disequilbrium (LD) to fine-map loci underlying natural variation in Arabidopsis thaliana was investigated by looking for associations between flowering time and marker polymorphism in the genomic regions containing two candidate genes, FRI and FLC, both of which are known to contribute to natural variation in flowering. A sample of 196 accessions was used, and polymorphism was assessed by sequencing a total of 17 roughly 500-bp fragments. Using a novel Bayesian algorithm based on haplotype similarity, we demonstrate that LD could have been used to fine-map the FRI gene to a roughly 30-kb region and to identify two common loss-of-function alleles. Interestingly, because of genetic heterogeneity, simple single-marker associations would not have been able to map FRI with nearly the same precision. No clear evidence for previously unknown alleles at either locus was found, but the effect of population structure in causing false positives was evident.

Indexed as

ArabidopsisChromosome MappingChromosomesFlowersGenetic LinkageGenetic MarkersHaplotypesMolecular Sequence DataPhenotypePolymorphism, GeneticGenetic Markers

Identifiers

PMID15579712
PMCPMC1448803

What OpenQuestion holds

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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.