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Population Epigenetics

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Attention for Chapter 263: Determining Epigenetic Targets: A Beginner's Guide to Identifying Genome Functionality Through Database Analysis.
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Chapter title
Determining Epigenetic Targets: A Beginner's Guide to Identifying Genome Functionality Through Database Analysis.
Chapter number 263
Book title
Population Epigenetics
Published in
Methods in molecular biology, May 2015
DOI 10.1007/7651_2015_263
Pubmed ID
Book ISBNs
978-1-4939-6901-2, 978-1-4939-6903-6
Authors

Hay, Elizabeth A, Cowie, Philip, MacKenzie, Alasdair, Elizabeth A. Hay, Philip Cowie, Alasdair MacKenzie, Hay, Elizabeth A.

Abstract

There can now be little doubt that the cis-regulatory genome represents the largest information source within the human genome essential for health. In addition to containing up to five times more information than the coding genome, the cis-regulatory genome also acts as a major reservoir of disease-associated polymorphic variation. The cis-regulatory genome, which is comprised of enhancers, silencers, promoters, and insulators, also acts as a major functional target for epigenetic modification including DNA methylation and chromatin modifications. These epigenetic modifications impact the ability of cis-regulatory sequences to maintain tissue-specific and inducible expression of genes that preserve health. There has been limited ability to identify and characterize the functional components of this huge and largely misunderstood part of the human genome that, for decades, was ignored as "Junk" DNA. In an attempt to address this deficit, the current chapter will first describe methods of identifying and characterizing functional elements of the cis-regulatory genome at a genome-wide level using databases such as ENCODE, the UCSC browser, and NCBI. We will then explore the databases on the UCSC genome browser, which provides access to DNA methylation and chromatin modification datasets. Finally, we will describe how we can superimpose the huge volume of study data contained in the NCBI archives onto that contained within the UCSC browser in order to glean relevant in vivo study data for any locus within the genome. An ability to access and utilize these information sources will become essential to informing the future design of experiments and subsequent determination of the role of epigenetics in health and disease and will form a critical step in our development of personalized medicine.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Student > Master 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 31%
Agricultural and Biological Sciences 4 31%
Nursing and Health Professions 1 8%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 May 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from Methods in molecular biology
#9,906
of 13,118 outputs
Outputs of similar age
#223,290
of 267,111 outputs
Outputs of similar age from Methods in molecular biology
#19
of 24 outputs
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So far Altmetric has tracked 13,118 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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