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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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2018
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| Subjects: | |
| Online Access: | https://doaj.org/article/dfa5b2fb1569404aba5d6649c5e52604 |
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