Chapter title |
Trace Elements and Healthcare: A Bioinformatics Perspective
|
---|---|
Chapter number | 4 |
Book title |
Translational Informatics in Smart Healthcare
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-981-10-5717-5_4 |
Pubmed ID | |
Book ISBNs |
978-9-81-105716-8, 978-9-81-105717-5
|
Authors |
Yan Zhang |
Abstract |
Biological trace elements are essential for human health. Imbalance in trace element metabolism and homeostasis may play an important role in a variety of diseases and disorders. While the majority of previous researches focused on experimental verification of genes involved in trace element metabolism and those encoding trace element-dependent proteins, bioinformatics study on trace elements is relatively rare and still at the starting stage. This chapter offers an overview of recent progress in bioinformatics analyses of trace element utilization, metabolism, and function, especially comparative genomics of several important metals. The relationship between individual elements and several diseases based on recent large-scale systematic studies such as genome-wide association studies and case-control studies is discussed. Lastly, developments of ionomics and its recent application in human health are also introduced. |
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Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 4 | 13% |
Researcher | 4 | 13% |
Student > Master | 3 | 10% |
Lecturer | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Other | 4 | 13% |
Unknown | 12 | 39% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 5 | 16% |
Biochemistry, Genetics and Molecular Biology | 4 | 13% |
Business, Management and Accounting | 2 | 6% |
Agricultural and Biological Sciences | 2 | 6% |
Nursing and Health Professions | 2 | 6% |
Other | 3 | 10% |
Unknown | 13 | 42% |