Supplemental data to publication "A Fitted Sparse-Group Lasso for Genome-Based Evaluations"

DOI

A simulation study has been conducted to analyse the association between genetic and phenotypic variation with grouped penalization approaches. The study design resembles a breeding population consisting of several half-sib families which is typical, for example, in livestock or crop. Genotypes and phenotypes have been simulated with publicly available software. Two strategies have been followed to generate genetic effects captured by markers: effects have been sampled independently (option a) or in groups (option b). The dataset includes a detailed description of the simulation design and comprises phased genotypes of parents and progeny, progeny phenotypes and marker effect sizes. The simulation has been repeated 100 times.

Identifier
DOI https://doi.org/10.22000/432
Related Identifier https://doi.org/10.1109/TCBB.2022.3156805
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.22000/432
Provenance
Creator Klosa, Jan ORCID logo; Wittenburg, Dörte ORCID logo
Publisher Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Contributor RADAR
Publication Year 2021
Funding Reference Deutsche Forschungsgemeinschaft DFG Other DFG WI 4450/2-1 Multicollinearity in the statistical genomics era: Proposals to account for dependencies between molecular covariates with application to animal breeding
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type phenotypic and genetic data; Dataset
Format application/x-tar
Discipline Biology; Life Sciences