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Mendeley readers
| Title |
Association mapping via a class of haplotype-sharing statistics
|
|---|---|
| Published in |
BMC Proceedings, December 2007
|
| DOI | 10.1186/1753-6561-1-s1-s123 |
| Pubmed ID | |
| Authors |
Andrew S Allen, Glen A Satten |
| Abstract |
We present a class of haplotype-sharing statistics useful for association mapping in case-parent trio data. The framework presented allows derivation of novel tests as well as new simplified variance estimators for previously proposed tests. We give an overview of this framework and apply four such tests to the simulated data of Genetic Analysis Workshop 15. We find that these haplotype-based statistics result in greater power and better risk locus localization than the single locus single-nucleotide polymorphism analysis. |
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 % |
|---|---|---|
| Researcher | 5 | 50% |
| Student > Ph. D. Student | 3 | 30% |
| Professor > Associate Professor | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 60% |
| Medicine and Dentistry | 2 | 20% |
| Unknown | 2 | 20% |