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Mixed-effects models for GAW18 longitudinal blood pressure data
In this paper, we propose two mixed-effects models for Genetic Analysis Workshop 18 (GAW18) longitudinal blood pressure data. The first method extends EMMA, an efficient mixed-model association-mapping algorithm. EMMA corrects for population structure and genetic relatedness using a kinship similari...
Tallennettuna:
| Päätekijät: | , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4143717/ https://ncbi.nlm.nih.gov/pubmed/25519345 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1753-6561-8-S1-S87 |
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