Evidence map›Paper›PMID 38079567›Full record

ReviewDatabase : the journal of biological databases and curation2023

Genotype and phenotype data standardization, utilization and integration in the big data era for agricultural sciences.

Cecilia H Deng, Sushma Naithani, Sunita Kumari, Irene Cobo-Simón, Elsa H Quezada-Rodríguez, Maria Skrabisova, Nick Gladman, Melanie J Correll, Akeem Babatunde Sikiru, Olusola O Afuwape and 4 more

Abstract readReview
In one paragraph

Review in Database : the journal of biological databases and curation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The future is FAIR: a community framework for enhanced data management and data sharing.Database : the journal of biological databases and curation · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  11. Article
  12. Article
  13. The Use of AI for Phenotype-Genotype Mapping.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. BreedingFrontiers in plant science · 2024
    Review
  18. Review
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

14 authors.

Cecilia H DengMolecular and Digital Breeding, New Cultivar Innovation, The New Zealand Institute for Plant and Food Research Limited, 120 Mt Albert Road, Auckland 1025, New Zealand.ORCID 0000-0002-2954-762X
Sushma NaithaniDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA.ORCID 0000-0001-7819-4552
Sunita KumariCold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, New York, NY 11724, USA.ORCID 0000-0001-9166-1450
Irene Cobo-SimónDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.
Elsa H Quezada-RodríguezDepartamento de Producción Agrícola y Animal, Universidad Autónoma Metropolitana-Xochimilco, Ciudad de México, México.
Maria SkrabisovaDepartment of Biochemistry, Faculty of Science, Palacky University, Olomouc, Czech Republic.
Nick GladmanCold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, New York, NY 11724, USA.
Melanie J CorrellAgricultural and Biological Engineering Department, University of Florida, 1741 Museum Rd, Gainesville, FL 32611, USA.
Akeem Babatunde SikiruFederal University of Agriculture Zuru, PMB 28, Zuru, Kebbi 872101, Nigeria.ORCID 0000-0003-4956-7094
Olusola O AfuwapeUniversity of Lagos, Nigeria.
Annarita MarranoPhoenix Bioinformatics, 39899 Balentine Drive, Suite 200, Newark, CA 94560, USA.
Ines RebolloUniversidad de la República, Uruguay.
Wentao ZhangNational Research Council Canada, 110 Gymnasium Pl, Saskatoon, Saskatchewan S7N 0W9, Canada.
Sook JungDepartment of Horticulture, Washington State University, 303c Plant Sciences Building, Pullman, WA 99164-6414, USA.ORCID 0000-0003-3968-2769

Funding

National Science Foundation (NSF)Research Coordination Network (RCN) 2126334
6 · The paper itself

Abstract

Large-scale genotype and phenotype data have been increasingly generated to identify genetic markers, understand gene function and evolution and facilitate genomic selection. These datasets hold immense value for both current and future studies, as they are vital for crop breeding, yield improvement and overall agricultural sustainability. However, integrating these datasets from heterogeneous sources presents significant challenges and hinders their effective utilization. We established the Genotype-Phenotype Working Group in November 2021 as a part of the AgBioData Consortium (https://www.agbiodata.org) to review current data types and resources that support archiving, analysis and visualization of genotype and phenotype data to understand the needs and challenges of the plant genomic research community. For 2021-22, we identified different types of datasets and examined metadata annotations related to experimental design/methods/sample collection, etc. Furthermore, we thoroughly reviewed publicly funded repositories for raw and processed data as well as secondary databases and knowledgebases that enable the integration of heterogeneous data in the context of the genome browser, pathway networks and tissue-specific gene expression. Based on our survey, we recommend a need for (i) additional infrastructural support for archiving many new data types, (ii) development of community standards for data annotation and formatting, (iii) resources for biocuration and (iv) analysis and visualization tools to connect genotype data with phenotype data to enhance knowledge synthesis and to foster translational research. Although this paper only covers the data and resources relevant to the plant research community, we expect that similar issues and needs are shared by researchers working on animals. Database URL: https://www.agbiodata.org.

Indexed as

Big DataDatabases, GeneticGenotypePhenotypePlant Breeding

Identifiers

PMID38079567
PMCPMC10712715

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.