EXPOLDB: A Database for Gene Expression and Polymorphism Analysis
Author Information
Author(s): Vineet K Sharma, Anu Sharma, Naveen Kumar, Mamta Khandelwal, Kiran Kumar Mandapati, Shirley Horn-Saban, Liora Strichman-Almashanu, Doron Lancet, Samir K Brahmachari, Srinivasan Ramachandran
Primary Institution: Institute of Genomics and Integrative Biology, Delhi, India
Hypothesis
The study aims to associate genome-wide transcription patterns with potential cis modifiers of gene expression.
Conclusion
EXPOLDB uniquely facilitates the association of transcription variations with polymorphic repeats and allows for comprehensive querying of gene expression data.
Supporting Evidence
- EXPOLDB provides information on gene expression variability across individuals.
- The database includes expression data for monozygotic twins to identify non-genetic influences.
- It allows users to query gene expression patterns by various attributes.
Takeaway
This study created a database that helps scientists understand how certain DNA sequences affect gene expression in humans.
Methodology
The database was constructed using GeneChip expression data from blood leukocytes of 13 healthy individuals, including 5 pairs of monozygotic twins.
Limitations
Limited data on monozygotic twins and polymorphic status of several repeats and gene expression data from different populations.
Participant Demographics
13 normal healthy human individuals, including 5 pairs of monozygotic twins.
Statistical Information
P-Value
p<0.006
Statistical Significance
p<0.006
Digital Object Identifier (DOI)
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