Show simple item record

dc.contributor.authorTintle, N.
dc.contributor.authorFardo, D.
dc.contributor.authorDe Andrade, M.
dc.contributor.authorAslibekyan, S.
dc.contributor.authorBailey, J.
dc.contributor.authorBermejo, J.
dc.contributor.authorCantor, R.
dc.contributor.authorGhosh, S.
dc.contributor.authorMelton, Phillip
dc.contributor.authorWang, X.
dc.contributor.authorMacCluer, J.
dc.contributor.authorAlmasy, L.
dc.date.accessioned2018-12-13T09:14:10Z
dc.date.available2018-12-13T09:14:10Z
dc.date.created2018-12-12T02:47:04Z
dc.date.issued2018
dc.identifier.citationTintle, N. and Fardo, D. and De Andrade, M. and Aslibekyan, S. and Bailey, J. and Bermejo, J. and Cantor, R. et al. 2018. GAW20: Methods and strategies for the new frontiers of epigenetics and pharmacogenomics. BMC Proceedings. 12 (Suppl. 9): 26.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/72679
dc.identifier.doi10.1186/s12919-018-0113-1
dc.description.abstract

© 2018 The Author(s). GAW20 provided a platform for developing and evaluating statistical methods to analyze human lipid-related phenotypes, DNA methylation, and single-nucleotide markers in a study involving a pharmaceutical intervention. In this article, we present an overview of the data sets and the contributions analyzing these data. The data, donated by the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) investigators, included data from 188 families (N = 1105) which included genome-wide DNA methylation data before and after a 3-week treatment with fenofibrate, single-nucleotide polymorphisms, metabolic syndrome components before and after treatment, and a variety of covariates. The contributions from individual research groups were extensively discussed prior, during, and after the Workshop in groups based on discussion themes, before being submitted for publication.

dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleGAW20: Methods and strategies for the new frontiers of epigenetics and pharmacogenomics
dc.typeJournal Article
dcterms.source.volume12
dcterms.source.issn1753-6561
dcterms.source.titleBMC Proceedings
curtin.note

Genetic Analysis Workshop 20: envisioning the future of statistical genetics by exploring methods for epigenetic and pharmacogenomic data

curtin.departmentSchool of Pharmacy and Biomedical Sciences
curtin.accessStatusOpen access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/