Natural selection of protein properties through SNP analysis
Author Information
Author(s): Liu Jinfeng, Zhang Yan, Lei Xingye, Zhang Zemin
Primary Institution: Genentech Inc.
Hypothesis
The SNP A/S ratio can serve as a reliable measure for selective constraints on protein evolution.
Conclusion
The study confirms that the SNP A/S ratio is a robust measure for selective constraints and provides insights into the evolutionary selection of various protein properties.
Supporting Evidence
- The SNP A/S ratio correlates positively with Ka/Ks ratios from inter-species alignments.
- Highly expressed genes tend to have lower SNP A/S ratios.
- Proteins with paralogs evolve under weaker selective pressure than those without.
Takeaway
This study looks at tiny changes in our genes to see how they affect proteins and how proteins evolve over time. It finds that some proteins change more than others based on their roles in the body.
Methodology
The study conducted a large-scale survey of SNP A/S ratios using data from the dbSNP database, analyzing correlations with various protein features.
Potential Biases
Potential biases may arise from the selection of genes based on their popularity in sequencing efforts.
Limitations
The analysis was limited to validated SNPs, which may not represent all genetic variations.
Participant Demographics
The study focused on human genes with at least one validated coding SNP.
Statistical Information
P-Value
<1e-04
Confidence Interval
[0.38, 0.58]
Statistical Significance
p<1e-04
Digital Object Identifier (DOI)
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