Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Diabetes mellitus.

J A Todd1

  • 1Department of Surgery, Oxford University, John Radcliffe Hospital, Headington, UK.

Current Opinion in Genetics & Development
|June 1, 1992
PubMed
Summary
This summary is machine-generated.

Advances in genetic mapping, animal models, disease phenotype understanding, and statistical methods have significantly progressed the study of diabetes. These developments offer new insights into complex, non-Mendelian diabetes traits.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Real-world Effectiveness and Safety of Vedolizumab for the Treatment of Inflammatory Bowel Disease: The Scottish Vedolizumab Cohort.

Journal of Crohn's & colitis·2019
Same author

CHiCP: a web-based tool for the integrative and interactive visualization of promoter capture Hi-C datasets.

Bioinformatics (Oxford, England)·2016
Same author

β-cell specific T-lymphocyte response has a distinct inflammatory phenotype in children with Type 1 diabetes compared with adults.

Diabetic medicine : a journal of the British Diabetic Association·2016
Same author

Primary prevention of beta-cell autoimmunity and type 1 diabetes - The Global Platform for the Prevention of Autoimmune Diabetes (GPPAD) perspectives.

Molecular metabolism·2016
Same author

Multi-parametric flow cytometric and genetic investigation of the peripheral B cell compartment in human type 1 diabetes.

Clinical and experimental immunology·2014
Same author

HLA class II gene associations in African American type 1 diabetes reveal a protective HLA-DRB1*03 haplotype.

Diabetic medicine : a journal of the British Diabetic Association·2013
Same journal

Temporal trajectories underlying adult neuronal diversity.

Current opinion in genetics & development·2026
Same journal

Transcription regulation of cell fate plasticity - from embryonic development to tissue regeneration.

Current opinion in genetics & development·2026
Same journal

Shared molecular and cellular programs during regeneration of glandular epithelia.

Current opinion in genetics & development·2026
Same journal

Lineage tracing in human cortical development.

Current opinion in genetics & development·2026
Same journal

Cis-regulatory strategies in developmental patterning.

Current opinion in genetics & development·2026
Same journal

GABAergic neuron fate specification and lineage allocation: from development to disorder.

Current opinion in genetics & development·2026
See all related articles

Area of Science:

  • Endocrinology and Metabolic Diseases
  • Genetics and Genomics
  • Translational Medicine

Background:

  • Diabetes mellitus is a complex metabolic disorder with significant global health implications.
  • Understanding the genetic and phenotypic basis of diabetes is crucial for developing effective treatments.
  • Traditional research methods have limitations in addressing the complexity of non-Mendelian traits.

Purpose of the Study:

  • To highlight key recent advancements in diabetes research.
  • To underscore the importance of integrating multiple research approaches.
  • To provide an overview of progress in understanding diabetes etiology and phenotype.

Main Methods:

  • Molecular genetic mapping to identify susceptibility genes.
  • Analysis of established and novel animal models of diabetes.

Related Experiment Videos

  • Detailed characterization of diabetes disease phenotypes.
  • Application of advanced statistical methods for complex trait analysis.

    • Main Results:

    • Significant progress in identifying genetic loci associated with diabetes risk.
    • Enhanced understanding of disease mechanisms through comparative studies in animal models.
    • Improved classification and understanding of diverse diabetes phenotypes.
    • Development of sophisticated statistical tools for dissecting genetic contributions to complex traits.

    Conclusions:

    • The convergence of genetic, phenotypic, and statistical approaches is accelerating diabetes research.
    • These integrated advancements provide a robust foundation for future therapeutic strategies.
    • Continued interdisciplinary research is essential for unraveling the complexities of diabetes.