Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies

Expression quantitative trait loci (eQTL) mapping is a tool that can systematically identify genetic variation affecting gene expression. eQTL mapping studies have shown that certain genomic locations, referred to as regulatory hotspots, may affect the expression levels of many genes. Recently, stud...

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Bibliographic Details
Published in:Genome biology 2014-04, Vol.15 (4), p.r61-r61, Article r61
Main Authors: J Joo, Jong Wha, Sul, Jae Hoon, Han, Buhm, Ye, Chun, Eskin, Eleazar
Format: Article
Language:English
Subjects:
Algorithms
data collection
gene expression
Gene Expression Profiling - methods
genes
genetic variation
Method
Polymorphism, Single Nucleotide
Quantitative Trait Loci
Regulatory Sequences, Nucleic Acid - genetics
Sensitivity and Specificity
Yeasts - genetics
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Summary:Expression quantitative trait loci (eQTL) mapping is a tool that can systematically identify genetic variation affecting gene expression. eQTL mapping studies have shown that certain genomic locations, referred to as regulatory hotspots, may affect the expression levels of many genes. Recently, studies have shown that various confounding factors may induce spurious regulatory hotspots. Here, we introduce a novel statistical method that effectively eliminates spurious hotspots while retaining genuine hotspots. Applied to simulated and real datasets, we validate that our method achieves greater sensitivity while retaining low false discovery rates compared to previous methods.
ISSN:1465-6906
1474-760X
1465-6914
1474-760X
DOI:10.1186/gb-2014-15-4-r61