Speed
40 days from acceptance to publication
Citation Impact
1.80 - Cite Score
0.304 - Source Normalized Impact per Paper (SNIP)
0.347 - SCImago Journal Rank (SJR)
Usage
468,191 downloads
53 Altmetric mentions
Volume 5 Supplement 3
Edited by Maciej Szydlowski
Publication of this supplement was supported by Animal Breeding and Inseminating Centre Ltd, Bydgoszcz, Poland.
14th QTL-MAS Workshop. Go to conference site.
Poznan, Poland17-18 May 2010
For the XIV QTLMAS workshop, a dataset for traits with complex genetic architecture has been simulated and released for analyses by participants. One of the tasks was to estimate direct genomic values for indi...
Citation: BMC Proceedings 2011 5(Suppl 3):S1
A quantitative and a binary trait for the 14th QTLMAS 2010 workshop were simulated under a model which combined additive inheritance, epistasis and imprinting. This paper aimed to compare results submitted by the...
Citation: BMC Proceedings 2011 5(Suppl 3):S2
Objective was to simulate the data for the QTLMAS 2010 Workshop under a model that includes major additive, epistatic and parent-of-origin effects.
Citation: BMC Proceedings 2011 5(Suppl 3):S3
We analyzed simulated data from the 14th QTL-MAS workshop using a Bayesian approach implemented in the program iBay. The data contained individuals genotypes for 10,031 SNPs and phenotyped for a quantitative and ...
Citation: BMC Proceedings 2011 5(Suppl 3):S4
Genomic selection is particularly beneficial for difficult or expensive to measure traits. Since multi-trait selection is an important tool to deal with such cases, an important question is what the added valu...
Citation: BMC Proceedings 2011 5(Suppl 3):S5
There is wide interest in calculating genomic breeding values (GEBVs) in livestock using dense, genome-wide SNP data. The general framework for genomic selection assumes all individuals are genotyped at high-d...
Citation: BMC Proceedings 2011 5(Suppl 3):S6
Partial least square regression (PLSR) was used to analyze the data of the QTLMAS 2010 workshop to identify genomic regions affecting either one of the two traits and to estimate breeding values. PLSR was appr...
Citation: BMC Proceedings 2011 5(Suppl 3):S7
It has been shown that if genetic relationships among individuals are not taken into account for genome wide association studies, this may lead to false positives. To address this problem, we used Genome-wide ...
Citation: BMC Proceedings 2011 5(Suppl 3):S8
With the availability of high throughput genotyping, genomic selection, the evaluation of animals based on dense SNP genotyping, is receiving more and more attention. Several statistical methods have been sugg...
Citation: BMC Proceedings 2011 5(Suppl 3):S9
We have previously demonstrated an approach for efficient computation of genotype probabilities, and more generally probabilities of allele inheritance in inbred as well as outbred populations. That work also ...
Citation: BMC Proceedings 2011 5(Suppl 3):S10
Genomic selection (GS) involves estimating breeding values using molecular markers spanning the entire genome. Accurate prediction of genomic breeding values (GEBVs) presents a central challenge to contemporar...
Citation: BMC Proceedings 2011 5(Suppl 3):S11
Accurate prediction of genomic breeding values (GEBVs) requires numerous markers. However, predictive accuracy can be enhanced by excluding markers with no effects or with inconsistent effects among crosses th...
Citation: BMC Proceedings 2011 5(Suppl 3):S12
Bayesian methods allow prediction of genomic breeding values (GEBVs) using high-density single nucleotide polymorphisms (SNPs) covering the whole genome with effective shrinkage of SNP effects using appropriat...
Citation: BMC Proceedings 2011 5(Suppl 3):S13
Genome-wide dense markers have been used to detect genes and estimate relative genetic values. Among many methods, Bayesian techniques have been widely used and shown to be powerful in genome-wide breeding val...
Citation: BMC Proceedings 2011 5(Suppl 3):S14
The genomic estimated breeding values (GEBV) of the young individuals in the XIV QTL-MAS workshop dataset were predicted by three methods: best linear unbiased prediction with a trait-specific marker-derived r...
Citation: BMC Proceedings 2011 5(Suppl 3):S15
Speed
40 days from acceptance to publication
Citation Impact
1.80 - Cite Score
0.304 - Source Normalized Impact per Paper (SNIP)
0.347 - SCImago Journal Rank (SJR)
Usage
468,191 downloads
53 Altmetric mentions