| Literature DB >> 21718521 |
Gonzalo Rincon1, Katarina Tengvall, Janelle M Belanger, Laetitia Lagoutte, Juan F Medrano, Catherine André, Anne Thomas, Cynthia Taylor Lawley, Mark St Hansen, Kerstin Lindblad-Toh, Anita M Oberbauer.
Abstract
BACKGROUND: The availability of array-based genotyping platforms for single nucleotide polymorphisms (SNPs) for the canine genome has expanded the opportunities to undertake genome-wide association (GWA) studies to identify the genetic basis for Mendelian and complex traits. Whole blood as the source of high quality DNA is undisputed but often proves impractical for collection of the large numbers of samples necessary to discover the loci underlying complex traits. Further, many countries prohibit the collection of blood from dogs unless medically necessary thereby restricting access to critical control samples from healthy dogs. Alternate sources of DNA, typically from buccal cytobrush extractions, while convenient, have been suggested to have low yield and perform poorly in GWA. Yet buccal cytobrushes provide a cost-effective means of collecting DNA, are readily accepted by dog owners, and represent a large resource base in many canine genetics laboratories. To increase the DNA quantities, whole genome amplification (WGA) can be performed. Thus, the present study assessed the utility of buccal-derived DNA as well as whole genome amplification in comparison to blood samples for use on the most recent iteration of the canine HD SNP array (Illumina).Entities:
Year: 2011 PMID: 21718521 PMCID: PMC3145587 DOI: 10.1186/1756-0500-4-226
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Call rates for blood and buccal cytobrush samples (total number of SNPs = 173,662) as determined using SVS7 and PLINK software programs.
| N | Mean Call Rate | SNP with Call Rate = 0 | SNP with Call Rate <0.5 | SNP with Call Rate >0.5 < 0.8 | SNP with Call Rate >0.8 | |
|---|---|---|---|---|---|---|
| Blood | 146 | 0.98 ± 0.10 | 1547 (0.9%) | 279 (0.16%) | 1101 (0.63%) | 170735 (98.3%) |
| Buccal | 82 | 0.97 ± 0.11 | 1548 (0.9%) | 672 (0.38%) | 2773 (1.60%) | 168669 (97.1%) |
| Blood | 146 | 0.98 ± 0.04 | 1547 (0.9%) | 257 (0.15%) | 1152 (0.66%) | 170706 (98.3%) |
| Buccal | 82 | 0.97 ± 0.14 | 1548 (0.9%) | 635 (0.37%) | 2789 (1.61%) | 168690 (97.1%) |
Comparison of three DNA sources (native blood, WGA blood-derived DNA and WGA buccal-derived DNA) on SNP differences observed after genotyping nine dogs on the canine HD SNP array (Illumina).
| Total number of dogs | Average number of SNP differences per dog | |||
|---|---|---|---|---|
| SNP discrepancies | 9 | 21 SNPs | 37 SNPs | 20 SNPs |
| Average differences between SNPs | 9 | (0.012%) | (0.020%) | 0.012% |
| Average concordances between SNPs | 9 | 99.988% | 99.980% | 99.988% |
| English Bull terrier | 4 | 24 SNPs | 42 SNPs | 18 SNPs |
| Czechoslovakian wolf dog | 1 | 9 SNPs | 34 SNPs | 41 SNPs |
| Tibetan terrier | 1 | 63 SNPs | 39 SNPs | 15 SNPs |
| Yorkshire terrier | 1 | 11 SNPs | 41 SNPs | 28 SNPs |
| Standard poodles | 2 | 4 SNPs | 29 SNPs | 12 SNPs |
Figure 1Plot of full vs. reduced model (-log10 P values). X-axis reduced model including DNA source as covariate. Y-axis full model. 173,662 markers were sorted by (-log10 P values). The r = 0.95 indicates the equivalence of the buccal and blood derived DNA in the generation of SNP genotypes.