Chapter title |
Alzheimer’s Disease and Histone Code Alterations
|
---|---|
Chapter number | 17 |
Book title |
Neuroepigenomics in Aging and Disease
|
Published in |
Advances in experimental medicine and biology, May 2017
|
DOI | 10.1007/978-3-319-53889-1_17 |
Pubmed ID | |
Book ISBNs |
978-3-31-953888-4, 978-3-31-953889-1, 978-3-31-953888-4, 978-3-31-953889-1
|
Authors |
Narayan, Pritika, Dragunow, Mike, Pritika Narayan B.M.Sc., P.G.Dip.Sci., Ph.D., Mike Dragunow Ph.D., Pritika Narayan, Mike Dragunow |
Editors |
Raul Delgado-Morales |
Abstract |
Substantial progress has been made in identifying Alzheimer's disease (AD) risk-associated variants using genome-wide association studies (GWAS). The majority of these risk variants reside in noncoding regions of the genome making their functional evaluation difficult; however, they also infer the presence of unconventional regulatory regions that may reside at these locations. We know from these studies that rare familial cases of AD account for less than 5% of all AD cases and autosomal dominant mutations in APP, PSEN1 and PSEN2 account for less than 10% of the genetic basis of these familial cases [1]. The sporadic form of AD, while more complex, still has a substantial genetic component evidenced by observational studies where 30-48% of AD patients have a first degree relative who is also affected [2]. In addition, the strongest risk factor after age is the APOE E4 polymorphism, and more than 20 other risk variants have been identified to date, reviewed in two recent papers [3, 4]. Monozygotic twin studies have revealed a discordance for AD, implicating that a combination of epigenetic and genetic factors are likely involved in the development of AD [5]. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
France | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 20% |
Student > Bachelor | 6 | 17% |
Researcher | 4 | 11% |
Student > Ph. D. Student | 3 | 9% |
Student > Doctoral Student | 1 | 3% |
Other | 3 | 9% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 5 | 14% |
Biochemistry, Genetics and Molecular Biology | 5 | 14% |
Neuroscience | 4 | 11% |
Psychology | 3 | 9% |
Medicine and Dentistry | 3 | 9% |
Other | 3 | 9% |
Unknown | 12 | 34% |