Two-Locus Nonparametric Linkage Analysis for
Handledare: Ola Hössjer
Centre for Mathematical Sciences
Lund Institute of Technology,
Disorders such as diabetes, cardiovascular disease, asthma, psoriasis, cancer,
and schizophrenia all appear to have inheritable components (Cox et al. 1999
and Risch 1990).
In Many genetic diseases have complex modes of inheritance (Ploughmann 1989).
This thesis the utility of a two-locus nonparametric linkage (NPL) approach
is compared to the one-locus NPL analysis. Recent studies show that by taking
correlation between one-locus NPL-scores at two loci into account in the
analysis of diabetes more information can be extracted when two-locus score
functions upweighting positive correlation are used (Cox et al. 1999). In
particular focus in this thesis is on finding a disease model giving positive
correlation between the one-locus NPL-scores at the two disease loci considered.
The pedigree structure used consists of two parents with unknown affection
status and two affected offspring, i.e. an affected sib-pair. In the NPL
analysis allele sharing identical by decent is considered and to simulate
genotypes for the pedigree members additive, multiplicative, and heterogenic
disease models among others are used.