SNP Detection and Prediction of Variability Between Chicken Lines
Author Information
Author(s): Marklund Stefan, Carlborg Örjan
Primary Institution: Swedish University of Agricultural Sciences
Hypothesis
Can genome resequencing of DNA pools effectively detect SNP variability between chicken lines selected for body weight?
Conclusion
Genome resequencing with limited coverage identified 50 - 67% of the SNPs with a non-reference allele frequency larger than 0.5.
Supporting Evidence
- Genotyping revealed polymorphisms for 31,363 SNPs, with 48% also detected using resequencing.
- SNP detection was more effective for positions with larger differences in allele frequency.
- On average, ~3.7 SNPs/kb were detected by resequencing.
Takeaway
The study looked at chicken DNA to find differences in their genes. They found that using a special method, they could see many of these differences even with less data.
Methodology
The study used genome resequencing with pooled DNA samples from two chicken lines and compared results with SNP chip genotyping.
Potential Biases
Random sampling effects may have influenced SNP detection rates.
Limitations
The limited depth coverage (~5X) restricted the sensitivity of SNP detection.
Participant Demographics
Pooled samples from two chicken lines divergently selected for body weight.
Statistical Information
P-Value
<10-15
Statistical Significance
p<10-15
Digital Object Identifier (DOI)
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