False cis eQTLs Caused by Sequence Polymorphisms
Author Information
Author(s): Alberts Rudi, Terpstra Peter, Li Yang, Breitling Rainer, Nap Jan-Peter, Jansen Ritsert C.
Primary Institution: University of Groningen
Hypothesis
Many mapped local eQTLs do not reflect actual expression differences caused by sequence polymorphisms.
Conclusion
The study demonstrates that many local eQTLs are falsely reported and can be detected and eliminated using a novel statistical approach.
Supporting Evidence
- Many local eQTLs do not reflect actual expression differences.
- Sequence polymorphisms in probe regions can mislead gene expression data interpretation.
- The statistical method successfully identified and eliminated problematic probes.
Takeaway
Sometimes, when scientists think they find differences in gene expression, it might just be because of tiny changes in the DNA that don't really affect how much gene is made.
Methodology
The study used a statistical approach to analyze eQTL data from human and mouse samples, focusing on the effects of sequence polymorphisms in probe regions.
Potential Biases
Potential bias due to reliance on specific SNPs and microarray designs that may not represent broader genetic diversity.
Limitations
The study primarily focuses on specific microarray designs and may not generalize to all types of gene expression studies.
Participant Demographics
The study analyzed samples from 57 CEPH individuals and 30 BXD recombinant inbred lines.
Statistical Information
P-Value
p<0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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