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.
Highlights
This supplement to BMC Proceedings contains the proceedings of the GAW20 that was held March 4–8, 2017, in San Diego, CA, USA
These data sets are chosen by the Genetic Analysis Workshop (GAW) Advisory Committee, taking into consideration the suggestions and concerns of attendees
Complete data set details are provided in Aslibekyan et al [1], we provide a brief overview of the data set as an introduction to this volume
Summary
This supplement to BMC Proceedings contains the proceedings of the GAW20 that was held March 4–8, 2017, in San Diego, CA, USA. * Correspondence: nathan.tintle@dordt.edu 1Department of Mathematics and Statistics, Dordt College, 498 4th Ave. NE, Sioux Center, IA 51250, USA Full list of author information is available at the end of the article upon request prior to the Workshop. After the GAW organizers release the data sets, researchers analyze the data and prepare a manuscript to submit to the Workshop.
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