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Multivariate variance-components analysis of longitudinal blood pressure measurements from the Framingham Heart Study

Multivariate variance-components analysis provides several advantages over univariate analysis when studying correlated traits. It can test for pleiotropy or (in the longitudinal context) gene × age interaction. It can also have more power than univariate analyses to detect a quantitative trait locu...

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主要な著者: Kraft, Peter, Bauman, Lara, Yuan, Jin Ying, Horvath, Steve
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2003
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC1866492/
https://ncbi.nlm.nih.gov/pubmed/14975123
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-4-S1-S55
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