Unconditional two-locus nonparametric linkage analysis
(2005) In Preprint without journal information- Abstract
- We discuss different aspects of unconditional two-locus nonparametric linkage (NPL) analysis with special emphasis on gene-gene interaction. We interpret this as identical-by-descent (IBD) sharing correlation between two disease loci both having marginal effect. We relate this to the concept of two-locus NPL score functions, the possible importance of using a composite rather than a simple null hypothesis and the corresponding calculation of statistical power. Moreover, we define several classes of score functions and give multiple suggestions on how to incorporate a composite null hypothesis into the analysis. The least favourable two-locus IBD-distribution is discussed, resulting in an upper bound of the two-locus p-value.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/930229
- author
- Ängquist, Lars LU ; Anevski, Dragi LU and Luthman, Holger LU
- organization
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- unpublished
- subject
- in
- Preprint without journal information
- issue
- 2005:28
- publisher
- Manne Siegbahn Institute
- ISSN
- 0348-7911
- language
- English
- LU publication?
- yes
- id
- aa7b630b-0a69-418f-9ee2-cbdc39c3491f (old id 930229)
- date added to LUP
- 2016-04-04 09:11:24
- date last changed
- 2018-11-21 20:51:23
@article{aa7b630b-0a69-418f-9ee2-cbdc39c3491f, abstract = {{We discuss different aspects of unconditional two-locus nonparametric linkage (NPL) analysis with special emphasis on gene-gene interaction. We interpret this as identical-by-descent (IBD) sharing correlation between two disease loci both having marginal effect. We relate this to the concept of two-locus NPL score functions, the possible importance of using a composite rather than a simple null hypothesis and the corresponding calculation of statistical power. Moreover, we define several classes of score functions and give multiple suggestions on how to incorporate a composite null hypothesis into the analysis. The least favourable two-locus IBD-distribution is discussed, resulting in an upper bound of the two-locus p-value.}}, author = {{Ängquist, Lars and Anevski, Dragi and Luthman, Holger}}, issn = {{0348-7911}}, language = {{eng}}, number = {{2005:28}}, publisher = {{Manne Siegbahn Institute}}, series = {{Preprint without journal information}}, title = {{Unconditional two-locus nonparametric linkage analysis}}, year = {{2005}}, }