GAW20: Methods and strategies for the new frontiers of epigenetics and pharmacogenomics

Nathan L. Tintle; David W. Fardo; Mariza De Andrade; Stella Aslibekyan; Julia N. Bailey; Justo Lorenzo Bermejo; Rita M. Cantor; Saurabh Ghosh; Philip Melton; Xuexia Wang; Jean W. MacCluer; Laura Almasy

doi:10.1186/s12919-018-0113-1

GAW20: Methods and strategies for the new frontiers of epigenetics and pharmacogenomics

Nathan L. Tintle, David W. Fardo, Mariza De Andrade, Stella Aslibekyan, Julia N. Bailey, Justo Lorenzo Bermejo, Rita M. Cantor, Saurabh Ghosh, Philip Melton, Xuexia Wang, Jean W. MacCluer, Laura Almasy

Quantitative Health Sciences

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English (US)
Article number	26
Journal	BMC Proceedings
Volume	12
DOIs	https://doi.org/10.1186/s12919-018-0113-1
State	Published - Sep 17 2018

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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10.1186/s12919-018-0113-1

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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.",

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doi = "10.1186/s12919-018-0113-1",

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AU - Tintle, Nathan L.

AU - Fardo, David W.

AU - De Andrade, Mariza

AU - Aslibekyan, Stella

AU - Bailey, Julia N.

AU - Bermejo, Justo Lorenzo

AU - Cantor, Rita M.

AU - Ghosh, Saurabh

AU - Melton, Philip

AU - Wang, Xuexia

AU - MacCluer, Jean W.

AU - Almasy, Laura

PY - 2018/9/17

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GAW20: Methods and strategies for the new frontiers of epigenetics and pharmacogenomics

Abstract

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