Chapter title |
Methods for Polygenic Traits
|
---|---|
Chapter number | 10 |
Book title |
Genetic Epidemiology
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7868-7_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7867-0, 978-1-4939-7868-7
|
Authors |
Raha Pazoki, Pazoki, Raha |
Abstract |
An important aspect of public health is disease prediction and health promotion through better targeting of preventive strategies. Well-targeted preventive strategies will eventually decrease burden of diseases and thus precise prediction plays a crucial role in public health. Many investigators put efforts into finding models that improve prediction using known risk factors of diseases. Recently with the overwhelming load of genetic loci discovered for complex diseases through genome-wide association studies (GWAS), much of attention has been focused on the role of these genetic loci to improve prediction models. Genetic loci in solo explain little variance of diseases. It is thus necessary to create new genetic parameters that combine the effect of as many genetic loci as possible. Such new parameters aim to better distinguish individuals who will develop a disease from those who will not. In this chapter, various polygenic methods that use multiple genetic loci to directly or indirectly improve precision of genetic prediction are discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Doctoral Student | 3 | 19% |
Other | 1 | 6% |
Student > Bachelor | 1 | 6% |
Professor | 1 | 6% |
Student > Ph. D. Student | 1 | 6% |
Other | 3 | 19% |
Unknown | 6 | 38% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 5 | 31% |
Arts and Humanities | 1 | 6% |
Unspecified | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 38% |