Year: 2018
Type: article
Abstract: 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.
Source: BMC Proceedings
Institutions: Dordt University, University of Kentucky, Mayo Clinic, University of Alabama at Birmingham, University of California, Los Angeles, Heidelberg University, Indian Statistical Institute, The University of Western Australia, Curtin University, University of North Texas, Texas Biomedical Research Institute, Children's Hospital of Philadelphia, University of Pennsylvania
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,290
Funders: Children's Hospital of Philadelphia, University of Pennsylvania, University of North Texas, Texas Biomedical Research Institute, Universität Heidelberg, Curtin University of Technology, Indian Statistical Institute, National Institutes of Health, Perelman School of Medicine, University of Pennsylvania, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Institute of General Medical Sciences, David Geffen School of Medicine, University of California, Los Angeles
OpenAlex ID: W2889707013