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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Complex Feline Disease Mapping Using a Dense Genotyping Array.

Isabel Hernandez1, Jessica J Hayward2, Jeff A Brockman3

  • 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States.

Frontiers in Veterinary Science
|July 5, 2022
PubMed
Summary
This summary is machine-generated.

Researchers identified genetic associations for common feline diseases like hyperthyroidism and diabetes using a dense genotyping array. This study advances understanding of complex feline diseases and aids comparative medicine.

Keywords:
Felis catusbiobankcomplex diseasegenome-wide association studygenotyping

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Area of Science:

  • Veterinary Genetics
  • Comparative Genomics
  • Complex Disease Research

Background:

  • Current feline genotyping arrays (63k SNPs) are useful for within-breed mapping and Mendelian traits.
  • Complex feline diseases require denser arrays and larger sample sizes for statistically significant associations, especially in random-bred cats with lower linkage disequilibrium.

Purpose of the Study:

  • To conduct a multi-breed feline genetic association study for common complex diseases.
  • To identify genome-wide associations for prevalent feline diseases using a high-density genotyping array.

Main Methods:

  • A multi-breed cohort of 1,122 cats was studied.
  • Cats were phenotyped for nine common complex diseases at Cornell University Hospital for Animals.
  • A proprietary 340k single nucleotide polymorphism (SNP) mapping array was utilized for genotyping.

Main Results:

  • Significant genome-wide associations were identified for hyperthyroidism, diabetes mellitus, and eosinophilic keratoconjunctivitis.
  • Genomic locations for variant discovery and candidate gene screening were established for these diseases.

Conclusions:

  • The findings provide crucial genomic insights into complex feline diseases.
  • This research supports feline health initiatives and the development of comparative disease models.