QTL Map Information |
Chromosome: | SEX |
QTL Peak Location: | n/a |
QTL Span: | 10.8-7.2 (cM)
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Upper, "Suggestive": | OMM1118 |
Upper, "Significant": | n/a |
Peak: | |
Lower, "Significant": | n/a |
Lower, "Suggestive": | OMM1405 |
Marker type: | Microsatellites |
Analysis type: | QTL |
Model tested: | n/a |
Test base: | Chromosome-wise |
Threshold significance level: | Suggestive |
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LikelihoodR | 14.6 | F_Stat | 3.01 | VARIANCE | 0.18 | Dominance effect: | n/a |
Additive effect: | n/a |
Associated Gene: | n/a |
Cis/Trans acting type: |  |
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Extended information: |
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QTL Experiment in Brief |
Animals: | Seven full-sib families including 222 offspring from a broodstock population at the NCCCWA in Leetown, West Virginia, USA, were used for QTL mapping. |
Breeds associated:
n/a
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Design: | Two stress response phenotypes were used for QTL analyses. First, we estimated animal breeding value (EBV) using four repeated measurements of plasma cortisol and fitting a mixed inheritance linear model under a Bayesian framework with software iBay version 1.46. We also estimated an animal effect using best linear unbiased prediction (BLUP) and fitting four repeated measurements of plasma cortisol in a multivariate mixed model with the software ASReml version 2.0. |
Analysis: | We performed combined sire-family (five HS (half-sib) families) and dam-family (seven HS families) HS regression analysis, separately. We also performed a genome scan for genetic loci linked to stress response phenotypes (animal BLUP index and EBV for plasma cortisol) using a variance components (VARCOMP) method. |
Software: | GridQTL and SOLAR version 4.0 |
Notes: | |
Links: | Edit |
Reference |
Authors: | Rexroad Caird E, Vallejo Roger L, Liu Sixin, Palti Yniv, Weber Gregory M, |
Affiliation: | USDA/ARS National Center for Cool and Cold Water Aquaculture, Leetown, WV, USA. |
Title: | QTL affecting stress response to crowding in a rainbow trout broodstock population. |
Journal: | BMC genetics, 2012, 13 (): 97 |
Links: |
PubMed | Abstract | List all data
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Additional Information |
Comments: | EBV, Sire, GridQTL |

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