Accession Number:

ADA555235

Title:

Genome-Wide Association Mapping for Intelligence in Military Working Dogs: Canine Cohort, Canine Intelligence Assessment Regimen, Genome-Wide Single Nucleotide Polymorphism (SNP) Typing, and Unsupervised Classification Algorithm for Genome-Wide Association Data Analysis

Descriptive Note:

Final rept. Apr 2009-Sep 2011

Corporate Author:

AIR FORCE RESEARCH LAB WRIGHT-PATTERSON AFB OH HUMAN PERFORMANCE WING (711TH) BIOSCIENCES AND PERFORMANCE DIV/APPLIED BIOTECHNOLOGY BRANCH

Report Date:

2011-09-01

Pagination or Media Count:

39.0

Abstract:

This seedling project aimed to genetically map intelligence in the military working dog MWD population. A total of 199 canine subjects were recruited from United States working dog contractors. Of the recruited subjects, 153 were tested using the Canine Intelligence Testing Protocol CITP, developed by Dr. Karen Overall UPENN to specifically analyze canine intelligence. CITP allows quantitative assessment of intelligence in individual dogs using a scoring system based on the latency to response, success-in-effort time, attentiveness, interest in novelty exploration, response to signaling and showing, observational learning, problem solvingboldness, and handedness. Blood samples were collected from the canines, and genomic DNA prepared. A total of 117 dogs, belonging to three breeds German Shepherds, Belgian Malinois, Labrador Retrievers were down-selected and successfully genotyped for whole genome WG single nucleotide polymorphism SNP markers by means of the Affymetrix Canine SNP Array v2. A proof-of-concept advanced data mining algorithm for unsupervised analysis of the genome-wide association study GWAS dataset was successfully developed. Using this algorithm, canine subjects were successfully clustered into the correct breeds with an accuracy ranging from 89 - 100, solely based on the WG SNP profiles. The details of the algorithm are described in the Technical Report AFRL-RH-WP-TR-2011-0081, entitled Development of Advanced Classification Algorithm for Genome-Wide Single Nucleotide Polymorphism SNP Data Analysis. While not initially part of the seedling proposal, this project did receive IACUC permission to test DoD MWDs for follow-on studies, a unique and significant accomplishment.

Subject Categories:

  • Psychology
  • Genetic Engineering and Molecular Biology
  • Biology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE