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Mendeley readers
| Chapter title |
Adjusting for Familial Relatedness in the Analysis of GWAS Data.
|
|---|---|
| Chapter number | 10 |
| Book title |
Bioinformatics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6613-4_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6611-0, 978-1-4939-6613-4
|
| Authors |
Russell Thomson, Rebekah McWhirter |
| Editors |
Jonathan M. Keith |
| Abstract |
Relatedness within a sample can be of ancient (population stratification) or recent (familial structure) origin, and can either be known (pedigree data) or unknown (cryptic relatedness). All of these forms of familial relatedness have the potential to confound the results of genome-wide association studies. This chapter reviews the major methods available to researchers to adjust for the biases introduced by relatedness and maximize power to detect associations. The advantages and disadvantages of different methods are presented with reference to elements of study design, population characteristics, and computational requirements. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 30% |
| Researcher | 3 | 30% |
| Student > Bachelor | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 40% |
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Veterinary Science and Veterinary Medicine | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 1 | 10% |