Evidence map›Paper›PMID 30549178›Full record

ArticlePlant biotechnology journal2019

Integrating a genome-wide association study with a large-scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice.

Roslen Anacleto, Saurabh Badoni, Sabiha Parween, Vito M Butardo, Gopal Misra, Rosa Paula Cuevas, Markus Kuhlmann, Trinidad P Trinidad, Aida C Mallillin, Cecilia Acuin and 3 more

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Unlocking Low-glycemic Potential in Rice: Genetic Insights and Breeding Strategies.Plant foods for human nutrition (Dordrecht, Netherlands) · 2026
    Review
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  8. Creating a SuperiorFoods (Basel, Switzerland) · 2025
    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

13 authors at 4 institutions in 3 countries.

Roslen AnacletoInternational Rice Research Institute, Los Baños, Philippines.
Saurabh BadoniInternational Rice Research Institute, Los Baños, Philippines.
Sabiha ParweenInternational Rice Research Institute, Los Baños, Philippines.
Vito M ButardoInternational Rice Research Institute, Los Baños, Philippines.
Gopal MisraInternational Rice Research Institute, Los Baños, Philippines.
Rosa Paula CuevasInternational Rice Research Institute, Los Baños, Philippines.
Markus KuhlmannThe Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Trinidad P TrinidadFood and Nutrition Research Institute (FNRI), Taguig City, Philippines.
Aida C MallillinFood and Nutrition Research Institute (FNRI), Taguig City, Philippines.
Cecilia AcuinInternational Rice Research Institute, Los Baños, Philippines.
Anthony R BirdCSIRO Health and Biosecurity, Adelaide, SA, Australia.
Matthew K MorellInternational Rice Research Institute, Los Baños, Philippines.
Nese SreenivasuluInternational Rice Research Institute, Los Baños, Philippines.ORCID 0000-0002-3998-038X
International Rice Research Institute · PHNutrition Center of the Philippines · PHCSIRO Health and Biosecurity · AULeibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliably generating rice varieties with low glycaemic index (GI) is an important nutritional intervention given the high rates of Type II diabetes incidences in Asia where rice is staple diet. We integrated a genome-wide association study (GWAS) with a transcriptome-wide association study (TWAS) to determine the genetic basis of the GI in rice. GWAS utilized 305 re-sequenced diverse indica panel comprising ~2.4 million single nucleotide polymorphisms (SNPs) enriched in genic regions. A novel association signal was detected at a synonymous SNP in exon 2 of LOC_Os05g03600 for intermediate-to-high GI phenotypic variation. Another major hotspot region was predicted for contributing intermediate-to-high GI variation, involves 26 genes on chromosome 6 (GI6.1). These set of genes included GBSSI, two hydrolase genes, genes involved in signalling and chromatin modification. The TWAS and methylome sequencing data revealed cis-acting functionally relevant genetic variants with differential methylation patterns in the hot spot GI6.1 region, narrowing the target to 13 genes. Conversely, the promoter region of GBSSI and its alternative splicing allele (G allele of Wx

Indexed as

Glycemic IndexTranscriptomeAnimalsDigestionGene Expression ProfilingGenetic Association StudiesHaplotypesHumansMendelian Randomization AnalysisOryzaPhenotypePolymorphism, Single NucleotidePromoter Regions, GeneticSwinefinal viscositygene-regulatory network analysisgenome-wide association studyglycaemic indextranscriptome-wide association studywhole-genome bisulfite sequencing

Identifiers

PMID30549178
PMCPMC6575982
OpenAlexW2903637251

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.