Evidence map›Paper›PMID 27322545›Full record

ArticleNature genetics2016

Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice.

Kenji Yano, Eiji Yamamoto, Koichiro Aya, Hideyuki Takeuchi, Pei-Ching Lo, Li Hu, Masanori Yamasaki, Shinya Yoshida, Hidemi Kitano, Ko Hirano and 1 more

Abstract read
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In one paragraph

Article in Nature genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 377 papers.

0numbers the graph read from it
0cells of the map it votes in
377citing papers in PubMed
52.5field-weighted citation impact, top 1% 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

377 citing papers in PubMed, 688 citations in OpenAlex.

  1. SNP Discovery of 3 K RICE Panel for Specific Traits.Methods in molecular biology (Clifton, N.J.) · 2027
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  7. Genotypic Characterization and Evaluation ofCurrent issues in molecular biology · 2026
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  13. Review
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  18. A genome-wide association analysis identifies a key candidate gene controlling plant growth habit in chickpea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  19. Genomic selection for tar content inFrontiers in plant science · 2026
    Article
  20. Article

317 more citing papers are in PubMed but not listed here.

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

11 authors at 4 institutions in 1 country.

Kenji YanoBioscience and Biotechnology Center, Nagoya University, Nagoya, Japan.
Eiji YamamotoNARO Institute of Vegetable and Tea Science, Tsu, Japan.
Koichiro AyaBioscience and Biotechnology Center, Nagoya University, Nagoya, Japan.
Hideyuki TakeuchiBioscience and Biotechnology Center, Nagoya University, Nagoya, Japan.
Pei-Ching LoBioscience and Biotechnology Center, Nagoya University, Nagoya, Japan.
Li HuBioscience and Biotechnology Center, Nagoya University, Nagoya, Japan.
Masanori YamasakiFood Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai, Hyogo, Japan.
Shinya YoshidaHyogo Prefectural Research Center for Agriculture, Forestry and Fisheries, Kasai, Hyogo, Japan.
Hidemi KitanoBioscience and Biotechnology Center, Nagoya University, Nagoya, Japan.
Ko HiranoBioscience and Biotechnology Center, Nagoya University, Nagoya, Japan.
Makoto MatsuokaBioscience and Biotechnology Center, Nagoya University, Nagoya, Japan.
Nagoya University · JPHyogo Prefectural Hyogo Agricultural University · JPInstitute of Vegetable and Floriculture Science · JPKobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A genome-wide association study (GWAS) can be a powerful tool for the identification of genes associated with agronomic traits in crop species, but it is often hindered by population structure and the large extent of linkage disequilibrium. In this study, we identified agronomically important genes in rice using GWAS based on whole-genome sequencing, followed by the screening of candidate genes based on the estimated effect of nucleotide polymorphisms. Using this approach, we identified four new genes associated with agronomic traits. Some genes were undetectable by standard SNP analysis, but we detected them using gene-based association analysis. This study provides fundamental insights relevant to the rapid identification of genes associated with agronomic traits using GWAS and will accelerate future efforts aimed at crop improvement.

Indexed as

Gene Expression Regulation, PlantGenome, PlantGenome-Wide Association StudyChromosomes, PlantCrops, AgriculturalGenes, PlantGenotypeOryzaPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID27322545
OpenAlexW2462342490

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.