Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 56 min ago
Peer-reviewedCC BY-NC 4.0Nucleic Acids Research

PhenX Toolkit: a knowledgebase that enables consistent data collection and facilitates cross-study analysis and data reuse

1 more authors
  1. 1Data Analytics & Digital Solutions, RTI International, Research Triangle Park, NC 27709 ,
  2. 2Oral Biology, University of Pittsburgh School of Dental Medicine, Pittsburgh, PA 15261 ,
  3. 3Lab Sciences & Technology Development, RTI International, Research Triangle Park, NC 27709 ,

Abstract

The PhenX (consensus measures for Phenotypes and eXposures) Toolkit (https://www.phenxtoolkit.org/) is a publicly available knowledgebase of well-established, broadly validated measurement protocols recommended for use in genomic, clinical, translational, and epidemiological research involving human participants. Consistent use of PhenX protocols, including questionnaires, bioassays, and physical assessments, improves the rigor, transparency, reproducibility, and comparability of research data. The Toolkit was recently highlighted in the National Institutes of Health (NIH) implementation plan, “Leading in Gold Standard Science,” as an example of efforts to advance reproducible biomedical research. The Toolkit currently includes 1010 protocols spanning a wide range of diseases, exposures, and study designs. Content development is guided by the scientific community through a consensus-based process involving expert Working Groups, community input, and strategic oversight from the PhenX Steering Committee. Collaborations with NIH Institutes have expanded Toolkit content in priority areas, including substance use and cardiovascular disease. The PhenX Toolkit enhances study design and supports implementation of selected protocols. PhenX also collaborates with resources that facilitate data collection (REDCap), data standards (LOINC), and data repositories to promote interoperability and cross-study analyses. To date, the Toolkit has been recommended in 711 NIH funding opportunities and cited in >1300 publications. Future directions are discussed.

Related

  1. Eight quick tips for using the reactome knowledgebase
    Nancy T. Li, Marija Milacic, Karen Rothfels +1
    PLOS Computational BiologyPeer-reviewedCC BY 4.0Full textEnzymology & metabolismMolecular biology & gene regulationPLOSPMC
  2. LncRNAfunc 2.0: an evidence-integrated knowledgebase for regulatory and functional interpretation of lncRNAs in cancer
    Mengyuan Yang, Jiawei Li, Xingzheng Lu +5
    Nucleic Acids ResearchPeer-reviewedCC BY-NC 4.0Full textMolecular biology & gene regulationCrossref
  3. Omni-ARMD: an integrated genomic and clinical knowledgebase bridging clinical phenotypes and molecular determinants of antimicrobial resistance
    Hai Tang, Xiaoying Xie, Shikang Zheng +5
    Nucleic Acids ResearchPeer-reviewedCC BY-NC 4.0Full textMolecular biology & gene regulationCrossref
  4. PROTAC-DB 4.0: an expanded knowledgebase of targeted protein degradation modalities with AI-powered knowledge discovery
    Jingxuan Ge, Chen Yin, Yurong Li +13
    Nucleic Acids ResearchPeer-reviewedCC BY-NC 4.0Full textMolecular biology & gene regulationCrossref
  5. BacMap 3.0: a comprehensive knowledgebase of annotated bacterial genomes
    Ray Kruger, Megane Kyes, Eponine Oler +12
    Nucleic Acids ResearchPeer-reviewedCC BY-NC 4.0Full textMolecular biology & gene regulationCrossref
BibTeX
@article{huggins2026phenx,
  title = {{PhenX Toolkit: a knowledgebase that enables consistent data collection and facilitates cross-study analysis and data reuse}},
  author = {Wayne Huggins and Tabitha P Hendershot and Mary L Marazita and Vesselina D Bakalov and Patricia Ceger and Bethany Cook and Lisa A Cox and Cataia Ives and Mark D Nelms and Wes Quattrone and Tanya C Reeve and David N Williams and Carol M Hamilton},
  journal = {Nucleic Acids Research},
  year = {2026},
  month = nov,
  doi = {10.1093/nar/gkag1093},
  url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1093/9010719},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - PhenX Toolkit: a knowledgebase that enables consistent data collection and facilitates cross-study analysis and data reuse
AU  - Wayne Huggins
AU  - Tabitha P Hendershot
AU  - Mary L Marazita
AU  - Vesselina D Bakalov
AU  - Patricia Ceger
AU  - Bethany Cook
AU  - Lisa A Cox
AU  - Cataia Ives
AU  - Mark D Nelms
AU  - Wes Quattrone
AU  - Tanya C Reeve
AU  - David N Williams
AU  - Carol M Hamilton
PY  - 2026
DA  - 2026/11/03
JO  - Nucleic Acids Research
DO  - 10.1093/nar/gkag1093
UR  - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1093/9010719
AB  - The PhenX (consensus measures for Phenotypes and eXposures) Toolkit (https://www.phenxtoolkit.org/) is a publicly available knowledgebase of well-established, broadly validated measurement protocols recommended for use in genomic, clinical, translational, and epidemiological research involving human participants. Consistent use of PhenX protocols, including questionnaires, bioassays, and physical assessments, improves the rigor, transparency, reproducibility, and comparability of research data. The Toolkit was recently highlighted in the National Institutes of Health (NIH) implementation plan, “Leading in Gold Standard Science,” as an example of efforts to advance reproducible biomedical research. The Toolkit currently includes 1010 protocols spanning a wide range of diseases, exposures, and study designs. Content development is guided by the scientific community through a consensus-based process involving expert Working Groups, community input, and strategic oversight from the PhenX Steering Committee. Collaborations with NIH Institutes have expanded Toolkit content in priority areas, including substance use and cardiovascular disease. The PhenX Toolkit enhances study design and supports implementation of selected protocols. PhenX also collaborates with resources that facilitate data collection (REDCap), data standards (LOINC), and data repositories to promote interoperability and cross-study analyses. To date, the Toolkit has been recommended in 711 NIH funding opportunities and cited in >1300 publications. Future directions are discussed.
SN  - 0305-1048
SN  - 1362-4962
ER  -