Impact of Normalization Strategies on Gene Expression Heritability
Author Information
Author(s): Ma Jun, Qin Zhaohui
Primary Institution: University of Michigan
Hypothesis
Noise associated with microarray experiments tends to eliminate or weaken the expression profile pattern of heritable genes such that heritability will be difficult to detect without proper normalization.
Conclusion
Different normalization strategies significantly influence the identification of heritable genes in gene expression studies.
Supporting Evidence
- RMA identified 43.1% more heritable genes than MAS 5.0.
- dChip identified 13.6% more heritable genes than MAS 5.0.
- RMA showed the lowest type I error rate among the three methods.
Takeaway
This study shows that how we process gene data can change what we find about heredity, and some methods work better than others.
Methodology
The study used three normalization strategies (MAS 5.0, RMA, and dChip) to analyze gene expression data from lymphoblastoid cells.
Potential Biases
The study indicates that all three methods produce conservative results in terms of heritability estimates.
Limitations
The study suggests that more research is needed to draw general conclusions about normalization methods.
Participant Demographics
The study analyzed gene expression data from 14 families with three generations each.
Statistical Information
P-Value
0.05
Statistical Significance
p<0.05
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