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Mendeley readers
Chapter title |
Model-Free Linkage Analysis of a Quantitative Trait
|
---|---|
Chapter number | 16 |
Book title |
Statistical Human Genetics
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Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7274-6_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7273-9, 978-1-4939-7274-6
|
Authors |
Nathan J. Morris, Catherine M. Stein |
Abstract |
Model-free methods of linkage analysis for quantitative traits are a class of easily implemented, computationally efficient and statistically robust approaches to searching for linkage to a quantitative trait. By "model-free" we refer to methods of linkage analysis that do not fully specify a genetic model (i.e., the causal allele frequency, and penetrance functions). In this chapter we briefly survey the methods that are available, and then we discuss the necessary steps to implement an analysis using the programs GENIBD, SIBPAL and RELPAL in the S.A.G.E. (Statistical Analysis for Genetic Epidemiology) software suite. |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 8% |
Unknown | 11 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Student > Master | 2 | 17% |
Student > Doctoral Student | 1 | 8% |
Lecturer | 1 | 8% |
Researcher | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Computer Science | 1 | 8% |
Economics, Econometrics and Finance | 1 | 8% |
Psychology | 1 | 8% |
Other | 4 | 33% |
Unknown | 3 | 25% |