Chapter title |
Epigenome-Wide Association Studies (EWAS): Past, Present, and Future
|
---|---|
Chapter number | 3 |
Book title |
Cancer Epigenetics
|
Published in |
Methods in molecular biology, November 2014
|
DOI | 10.1007/978-1-4939-1804-1_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-1803-4, 978-1-4939-1804-1
|
Authors |
James M Flanagan, Flanagan, James M., James M. Flanagan |
Abstract |
Just as genome-wide association studies (GWAS) grew from the field of genetic epidemiology, so too do epigenome-wide association studies (EWAS) derive from the burgeoning field of epigenetic epidemiology, with both aiming to understand the molecular basis for disease risk. While genetic risk of disease is currently unmodifiable, there is hope that epigenetic risk may be reversible and or modifiable. This review will take a look back at the origins of this field and revisit the past early efforts to conduct EWAS using the 27k Illumina methylation beadarrays, to the present where most investigators are using the 450k Illumina beadarrays and finally to the future where next generation sequencing based methods beckon. There have been numerous diseases, exposures and lifestyle factors investigated with EWAS, with several significant associations now identified. However, much like the GWAS studies, EWAS are likely to require large international consortium-based approaches to reach the numbers of subjects, and statistical and scientific rigor, required for robust findings. |
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France | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | <1% |
Luxembourg | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 125 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 35 | 27% |
Researcher | 20 | 16% |
Student > Master | 15 | 12% |
Student > Doctoral Student | 12 | 9% |
Student > Bachelor | 10 | 8% |
Other | 11 | 9% |
Unknown | 25 | 20% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 41 | 32% |
Agricultural and Biological Sciences | 22 | 17% |
Medicine and Dentistry | 11 | 9% |
Neuroscience | 7 | 5% |
Immunology and Microbiology | 3 | 2% |
Other | 14 | 11% |
Unknown | 30 | 23% |