Bayesian QTL mapping using skewed Student-<it>t </it>distributions
<p>Abstract</p> <p>In most QTL mapping studies, phenotypes are assumed to follow normal distributions. Deviations from this assumption may lead to detection of false positive QTL. To improve the robustness of Bayesian QTL mapping methods, the normal distribution for residuals is re...
| Main Authors: | , |
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| Format: | Article |
| Language: | deu |
| Published: |
BMC
2002-01-01
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| Series: | Genetics Selection Evolution |
| Subjects: | |
| Online Access: | http://www.gsejournal.org/content/34/1/1 |
| _version_ | 1819087757704691712 |
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| author | von Rohr Peter Hoeschele Ina |
| author_facet | von Rohr Peter Hoeschele Ina |
| author_sort | von Rohr Peter |
| collection | DOAJ |
| description | <p>Abstract</p> <p>In most QTL mapping studies, phenotypes are assumed to follow normal distributions. Deviations from this assumption may lead to detection of false positive QTL. To improve the robustness of Bayesian QTL mapping methods, the normal distribution for residuals is replaced with a skewed Student-<it>t </it>distribution. The latter distribution is able to account for both heavy tails and skewness, and both components are each controlled by a single parameter. The Bayesian QTL mapping method using a skewed Student-<it>t </it>distribution is evaluated with simulated data sets under five different scenarios of residual error distributions and QTL effects.</p> |
| first_indexed | 2024-12-21T21:41:13Z |
| format | Article |
| id | doaj.art-77eb07b3af874f08b9acea0a7ee77f7c |
| institution | Directory Open Access Journal |
| issn | 0999-193X 1297-9686 |
| language | deu |
| last_indexed | 2024-12-21T21:41:13Z |
| publishDate | 2002-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Genetics Selection Evolution |
| spelling | doaj.art-77eb07b3af874f08b9acea0a7ee77f7c2022-12-21T18:49:21ZdeuBMCGenetics Selection Evolution0999-193X1297-96862002-01-0134112110.1186/1297-9686-34-1-1Bayesian QTL mapping using skewed Student-<it>t </it>distributionsvon Rohr PeterHoeschele Ina<p>Abstract</p> <p>In most QTL mapping studies, phenotypes are assumed to follow normal distributions. Deviations from this assumption may lead to detection of false positive QTL. To improve the robustness of Bayesian QTL mapping methods, the normal distribution for residuals is replaced with a skewed Student-<it>t </it>distribution. The latter distribution is able to account for both heavy tails and skewness, and both components are each controlled by a single parameter. The Bayesian QTL mapping method using a skewed Student-<it>t </it>distribution is evaluated with simulated data sets under five different scenarios of residual error distributions and QTL effects.</p>http://www.gsejournal.org/content/34/1/1Bayesian QTL mappingskewed Student-<it>t </it>distributionMetropolis-Hastings sampling |
| spellingShingle | von Rohr Peter Hoeschele Ina Bayesian QTL mapping using skewed Student-<it>t </it>distributions Genetics Selection Evolution Bayesian QTL mapping skewed Student-<it>t </it>distribution Metropolis-Hastings sampling |
| title | Bayesian QTL mapping using skewed Student-<it>t </it>distributions |
| title_full | Bayesian QTL mapping using skewed Student-<it>t </it>distributions |
| title_fullStr | Bayesian QTL mapping using skewed Student-<it>t </it>distributions |
| title_full_unstemmed | Bayesian QTL mapping using skewed Student-<it>t </it>distributions |
| title_short | Bayesian QTL mapping using skewed Student-<it>t </it>distributions |
| title_sort | bayesian qtl mapping using skewed student it t it distributions |
| topic | Bayesian QTL mapping skewed Student-<it>t </it>distribution Metropolis-Hastings sampling |
| url | http://www.gsejournal.org/content/34/1/1 |
| work_keys_str_mv | AT vonrohrpeter bayesianqtlmappingusingskewedstudentittitdistributions AT hoescheleina bayesianqtlmappingusingskewedstudentittitdistributions |