Chapter title |
Epigenetics and Control of RNAs
|
---|---|
Chapter number | 9 |
Book title |
Systems Genetics
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6427-7_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6425-3, 978-1-4939-6427-7
|
Authors |
Henrike Maatz, Sebastiaan van Heesch, Franziska Kreuchwig, Allison Faber, Eleonora Adami, Norbert Hubner, Matthias Heinig |
Editors |
Klaus Schughart, Robert W. Williams |
Abstract |
Histone modifications are epigenetic marks that fundamentally impact the regulation of gene expression. Integrating histone modification information in the analysis of gene expression traits (eQTL mapping) has been shown to significantly enhance the prediction of eQTLs. In this chapter, we describe (1) how to perform quantitative trait locus (QTL) analysis using histone modification levels as traits and (2) how to integrate these data with information on RNA expression for the elucidation of the epigenetic control of transcript levels. We will provide a comprehensive introduction into the topic, describe in detail how ChIP-seq data are analyzed and elaborate on how to integrate ChIP-seq and RNA-seq data from a segregating disease animal model for the identification of the epigenetic control of RNA expression. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 29% |
Student > Ph. D. Student | 2 | 14% |
Student > Master | 2 | 14% |
Student > Bachelor | 1 | 7% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 29% |
Agricultural and Biological Sciences | 3 | 21% |
Environmental Science | 1 | 7% |
Computer Science | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 0 | 0% |
Unknown | 4 | 29% |