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Animal genetics1988; 19(4); 409-415; doi: 10.1111/j.1365-2052.1988.tb00832.x

Equine disease association studies: a clinician’s perspective.

Abstract: Diagnostic criteria should be carefully defined and described in disease association studies to allow (1) comparison among studies from different laboratories evaluating the same disease, (2) critical evaluation of selection procedures of patients, and (3) to strengthen genuine associations with any genetic marker system. Factors to consider include age at onset of disease, specialized diagnostic methods necessary to diagnose or eliminate patients with a selected disease, ranges of affectedness and differences in sex expression.
Publication Date: 1988-01-01 PubMed ID: 2906790DOI: 10.1111/j.1365-2052.1988.tb00832.xGoogle Scholar: Lookup
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Summary

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The research article discusses the importance of clearly defined diagnostic criteria in equine disease association studies to enhance comparability among various studies, improve patient selection procedures, and strengthen associations with genetic markers.

Importance of Defining Diagnostic Criteria:

  • The researchers emphasize the need for clearly defined and described diagnostic criteria in disease association studies. This is crucial because it allows for the comparison of studies across different labs, all of which might be examining the same disease.
  • Clearly defined diagnostic criteria also facilitate a critical evaluation of the methods used to select patients. Researchers can look at these criteria and assess whether the procedures are appropriate and robust.
  • Finally, well-defined criteria strengthen genuine associations with any genetic marker system. This matters because it can reinforce the findings, making them more reliable and incredibly useful in planning further studies or therapeutic strategies.

Key Factors to Consider:

  • The researchers also highlight key factors that should be taken into account when defining diagnostic criteria. First among these is the age at the onset of the disease. This could impact the disease’s progression and the patient’s response to treatment, thus affecting the study’s overall findings.
  • Another factor is the specialized diagnostic methods that are necessary to diagnose or exclude patients with the selected disease. If the methods aren’t reliable, they could lead to incorrect diagnoses, which would compromise the study’s accuracy.
  • Researchers must also look at ranges of affectedness. A varied range might suggest different stages or subtypes of the disease, which should be considered when analyzing study results.
  • Lastly, differences in sex expression are important to consider, as diseases often differ significantly between sexes. This might influence the disease’s impact and the effectiveness of various treatments.

Cite This Article

APA
McClure JJ. (1988). Equine disease association studies: a clinician’s perspective. Anim Genet, 19(4), 409-415. https://doi.org/10.1111/j.1365-2052.1988.tb00832.x

Publication

ISSN: 0268-9146
NlmUniqueID: 8605704
Country: England
Language: English
Volume: 19
Issue: 4
Pages: 409-415

Researcher Affiliations

McClure, J J
  • Louisiana State University, School of Veterinary Medicine, Department of Veterinary Clinical Sciences, Baton Rouge 70803.

MeSH Terms

  • Animals
  • Arytenoid Cartilage
  • Bone Diseases / diagnosis
  • Bone Diseases / veterinary
  • Cartilage Diseases / diagnosis
  • Cartilage Diseases / veterinary
  • Cryptorchidism / diagnosis
  • Cryptorchidism / veterinary
  • Diagnosis, Differential
  • Hernia, Umbilical / diagnosis
  • Hernia, Umbilical / veterinary
  • Horse Diseases / classification
  • Horse Diseases / diagnosis
  • Horses
  • Lung Diseases, Obstructive / diagnosis
  • Lung Diseases, Obstructive / veterinary
  • Male
  • Paralysis / diagnosis
  • Paralysis / veterinary
  • Research Design
  • Skin Neoplasms / diagnosis
  • Skin Neoplasms / veterinary

Citations

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