| Chapter title |
Interactions Between Genetics, Lifestyle, and Environmental Factors for Healthcare
|
|---|---|
| Chapter number | 8 |
| 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_8 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-105716-8, 978-9-81-105717-5
|
| Authors |
Yuxin Lin, Jiajia Chen, Bairong Shen |
| Abstract |
The occurrence and progression of diseases are strongly associated with a combination of genetic, lifestyle, and environmental factors. Understanding the interplay between genetic and nongenetic components provides deep insights into disease pathogenesis and promotes personalized strategies for people healthcare. Recently, the paradigm of systems medicine, which integrates biomedical data and knowledge at multidimensional levels, is considered to be an optimal way for disease management and clinical decision-making in the era of precision medicine. In this chapter, epigenetic-mediated genetics-lifestyle-environment interactions within specific diseases and different ethnic groups are systematically discussed, and data sources, computational models, and translational platforms for systems medicine research are sequentially presented. Moreover, feasible suggestions on precision healthcare and healthy longevity are kindly proposed based on the comprehensive review of current studies. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Researcher | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 18 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 11% |
| Medicine and Dentistry | 3 | 8% |
| Social Sciences | 3 | 8% |
| Immunology and Microbiology | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 6 | 16% |
| Unknown | 18 | 47% |