Genome-wide Analysis of Large-scale Longitudinal Outcomes using Penalization —GALLOP algorithm

Genome-wide Analysis of Large-scale Longitudinal Outcomes using Penalization —GALLOP algorithm

Abstract Genome-wide association studies (GWAS) with longitudinal phenotypes provide opportunities to identify genetic variations associated with changes in human traits over time. Mixed models are used to correct for the correlated nature of longitudinal data. GWA studies are notorious for their co...

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Bibliographic Details
Main Authors: Karolina Sikorska, Emmanuel Lesaffre, Patrick J. F. Groenen, Fernando Rivadeneira, Paul H. C. Eilers
Format: article
Language:EN
Published: Nature Portfolio 2018
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/dfa5b2fb1569404aba5d6649c5e52604
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