Volume 8 Supplement 5

Proceedings of the 16th European Workshop on QTL Mapping and Marker Assisted Selection (QTL-MAS)

Proceedings

Edited by Antonello Carta, Sara Casu, Giustino Gaspa, Nicolò PP Macciotta and Mario Graziano Usai

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The peer review process was overseen by the Supplement Editors in accordance with BioMed Central's peer review guidelines for supplements. The Supplement Editors declare that they have no competing interests.

16th QTL-MAS Workshop. Go to conference site.

Alghero, Italy24-25 May 2012

XVI^th QTLMAS: simulated dataset and comparative analysis of submitted results for QTL mapping and genomic evaluation

A common dataset was simulated and made available to participants of the XVI^th QTL-MAS workshop. Tasks for the participants were to detect QTLs affecting three traits, to assess their possible pleiotropic effects...

Authors: M Graziano Usai, Giustino Gaspa, Nicolò PP Macciotta, Antonello Carta and Sara Casu

Citation: BMC Proceedings 2014 8(Suppl 5):S1

Content type: Proceedings Published on: 7 October 2014
- View Full Text
- View PDF
Genome wide association analysis of the QTL MAS 2012 data investigating pleiotropy

Different genome wide association methods (GWAS) including multivariate analysis techniques were applied to identify quantitative trait loci (QTL) and pleiotropy in the simulated data set provided by the QTL-M...

Authors: Christine Grosse-Brinkhaus, Sarah Bergfelder and Ernst Tholen

Citation: BMC Proceedings 2014 8(Suppl 5):S2

Content type: Proceedings Published on: 7 October 2014
- View Full Text
- View PDF
Regional Heritability Mapping to identify loci underlying genetic variation of complex traits

Genome-wide association studies can have limited power to identify QTL, partly due to the stringent correction for multiple testing and low linkage-disequilibrium between SNPs and QTL. Regional Heritability Ma...

Authors: Valentina Riggio and Ricardo Pong-Wong

Citation: BMC Proceedings 2014 8(Suppl 5):S3

Content type: Proceedings Published on: 7 October 2014
- View Full Text
- View PDF
Genome wide association analysis of the 16th QTL- MAS Workshop dataset using the Random Forest machine learning approach

Genome wide association studies are now widely used in the livestock sector to estimate the association among single nucleotide polymorphisms (SNPs) distributed across the whole genome and one or more trait. A...

Authors: Giulietta Minozzi, Andrea Pedretti, Stefano Biffani, Ezequiel Luis Nicolazzi and Alessandra Stella

Citation: BMC Proceedings 2014 8(Suppl 5):S4

Content type: Proceedings Published on: 7 October 2014
- View Full Text
- View PDF
A selective genotyping approach identifies QTL in a simulated population

Identification of QTLs for important phenotypic traits, through the use of medium-density genome-wide SNP panels, is one of the most challenging areas in animal genetics, for preventing the time-consuming dire...

Authors: Bianca Moioli, Francesco Napolitano and Gennaro Catillo

Citation: BMC Proceedings 2014 8(Suppl 5):S5

Content type: Proceedings Published on: 7 October 2014
- View Full Text
- View PDF
Estimation of genomic breeding values using the Horseshoe prior

A method for estimating genomic breeding values (GEBV) based on the Horseshoe prior was introduced and used on the analysis of the 16^th QTLMAS workshop dataset, which resembles three milk production traits. The m...

Authors: Ricardo Pong-Wong

Citation: BMC Proceedings 2014 8(Suppl 5):S6

Content type: Proceedings Published on: 7 October 2014
- View Full Text
- View PDF
Regularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD

Genomic prediction is now widely recognized as an efficient, cost-effective and theoretically well-founded method for estimating breeding values using molecular markers spread over the whole genome. The predic...

Authors: Joseph O Ogutu and Hans-Peter Piepho

Citation: BMC Proceedings 2014 8(Suppl 5):S7

Content type: Proceedings Published on: 7 October 2014
- View Full Text
- View PDF

Proceedings of the 16th European Workshop on QTL Mapping and Marker Assisted Selection (QTL-MAS)

Proceedings

XVI^th QTLMAS: simulated dataset and comparative analysis of submitted results for QTL mapping and genomic evaluation

Genome wide association analysis of the QTL MAS 2012 data investigating pleiotropy

Regional Heritability Mapping to identify loci underlying genetic variation of complex traits

Genome wide association analysis of the 16th QTL- MAS Workshop dataset using the Random Forest machine learning approach

A selective genotyping approach identifies QTL in a simulated population

Estimation of genomic breeding values using the Horseshoe prior

Regularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD

Follow

Annual Journal Metrics

BMC Proceedings

Contact us