Rare and Common Regulatory Variation in Population-Scale Sequenced Human Genomes
Author Information
Author(s): Montgomery Stephen B., Lappalainen Tuuli, Gutierrez-Arcelus Maria, Dermitzakis Emmanouil T., Barsh Gregory S.
Primary Institution: Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
Hypothesis
How do rare and common genetic variants influence gene expression patterns?
Conclusion
The study demonstrates that population-scale sequencing reveals a significant number of novel regulatory variants that influence gene expression.
Supporting Evidence
- 80% of the top expression quantitative trait variants discovered from 1000 genomes data are novel.
- 46.2% of nonsynonymous variants are differentially expressed in at least one individual.
- Individuals with outlier expression values have an excess of rare variants.
Takeaway
Scientists looked at how different genetic changes affect how genes work in people, finding many new changes that can affect gene activity.
Methodology
The study used RNA sequencing data and genetic variants from the 1000 Genomes Project to analyze gene expression.
Limitations
The study may not capture all regulatory variants due to the complexity of gene regulation.
Participant Demographics
The study included individuals from African and European populations.
Statistical Information
P-Value
p≤0.05
Statistical Significance
p≤0.05
Digital Object Identifier (DOI)
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