Genomic risk models improve prediction of longitudinal lipid levels in children and young adults

Genomic risk models improve prediction of longitudinal lipid levels in children and young adults

In clinical medicine, lipids are commonly measured biomarkers used to assess an individual’s risk for cardiovascular disease, heart attack, and stroke. Accurately predicting longitudinal lipid levels based on genomic information can inform therapeutic practices and decrease cardiovascular risk by id...

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Bibliographic Details
Main Authors:	Nathan E. Wineinger, Andrew eHarper, Ondrej eLibiger, Sathanur R. Srinivasan, Wei eChen, Gerald S. Berenson, Nicholas J. Schork
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2013-05-01
Series:	Frontiers in Genetics
Subjects:	Cardiovascular Diseases Lipids prediction statistical methods polygenic model
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00086/full

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