Nonparametric longitudinal allele-sharing model
2003 | conference paper. A publication with affiliation to the University of Göttingen.
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Nonparametric longitudinal allele-sharing model
Kulle, B.; Kohler, K.; Rosenberger, A. ; Loesgen, S. & Bickeboeller, H. (2003)
BMC Genetics, 4 13th Genetic Analysis Workshop, NEW ORLEANS, LOUISIANA.
London: Biomed Central Ltd. DOI: https://doi.org/10.1186/1471-2156-4-S1-S85
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Details
- Authors
- Kulle, Bettina; Kohler, K.; Rosenberger, Albert ; Loesgen, S.; Bickeboeller, Heike
- Abstract
- Basically no methods are available for the analysis of quantitative traits in longitudinal genetic epidemiological studies. We introduce a nonparametric factorial design for longitudinal data on independent sib pairs, modelling the phenotypic quadratic differences as the dependent variable. Factors are the number of alleles shared identically by descent (IBD) and the age categories at which the dependent variable is measured, allowing for dependence due to age. To identify a linked marker a rank statistic tests the influence of IBD group on phenotypic quadratic differences. No assumptions are made on normality or variances of the dependent variable. We apply our method to 71 sib pairs from the Framingham Heart Study data provided at the Genetic Analysis Workshop 13. For all 15 available markers on chromosome 17 we analyzed the influence on systolic blood pressure. In addition, different selection strategies to sample from the whole data are discussed.
- Issue Date
- 2003
- Status
- published
- Publisher
- Biomed Central Ltd
- Journal
- BMC Genetics
- Conference
- 13th Genetic Analysis Workshop
- Conference Place
- NEW ORLEANS, LOUISIANA
- ISSN
- 1471-2156