Abstract
In 1860, the benchmark experiments of the monk Gregor Mendel led him to propose the existence of genes. The results of Mendel’s pea data were astoundingly close to those predicted by his theory. When we recently looked into Mendel’s pea data and performed a chi-square test, we had to conclude the chi-square value was too small not to reject the null-hypothesis. This would mean that Mendel’s reported data were so close to what he expected that we could only conclude that he had somewhat fudged the data (Table 40.1).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alizadeh AA et al (2000) Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403:503–511
Claverie JM (2001) Computational methods for the identification of differential and coordinated gene expression. Hum Mol Genet 8(10):1821–1832
Cornelisse CJ, Cornelis RS, Devilee P (1996) Genes responsible for familial breast cancer. Pathol Res Pract 192(7):684–693
Eisen M et al (1998) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 95:14863–14867
Jordan B (ed) (2001) DNA microarrays: gene expression applications. Springer, Berlin
McLachlan G (2001) Mixture.model clustering of microarray expression data. Australian Biometrics and New Zealand Statistical Association Joint Conference. Christchurch, New Zealand
Tamayo P et al (1999) Interpreting patterns of gene-expression with self-organizing maps. Proc Natl Acad Sci USA 96:2907–2912
Tavazoie S et al (1999) Systematic determination of genetic network architecture. Nat Genet 22:281–285
Tibshirani R et al (1999) Clustering methods for the analysis of DNA microarray data. Technical report. Stanford University, Dept of Statistics, Stanford
Wijnen JT, Vasen HF, Khan PM, Zwinderman AH, van der Klift H, Mulder A, Tops C, Moller P, Fodde R (1998) Clinical findings with implications for genetic testing in families with clustering of colorectal cancer. N Engl J Med 339(8):511–518
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Cleophas, T.J., Zwinderman, A.H. (2012). Statistical Analysis of Genetic Data. In: Statistics Applied to Clinical Studies. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2863-9_40
Download citation
DOI: https://doi.org/10.1007/978-94-007-2863-9_40
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-2862-2
Online ISBN: 978-94-007-2863-9
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)