Statistical methods for linkage analysis of complex traits from high-resolution maps of identity by descent.
Open Access
- 1 June 1995
- journal article
- research article
- Published by Oxford University Press (OUP) in Genetics
- Vol. 140 (2) , 843-856
- https://doi.org/10.1093/genetics/140.2.843
Abstract
A multilocus model for complex traits is described that generalizes the additive and multiplicative models and hence allows simultaneously for both heterogeneity and gene interaction (epistasis). Statistical methods of linkage analysis are discussed under the assumption that identity by descent data from a dense set of polymorphic markers are available. Three methods, single locus search, simultaneous search and conditional search, are described and compared.Keywords
This publication has 12 references indexed in Scilit:
- Two-locus disease models with two marker loci: the power of affected-sib-pair tests.1994
- Genetic Dissection of Complex TraitsScience, 1994
- Identity-by-descent and association mapping of a recessive gene for Hirschsprung disease on human chromosome 13q22Human Molecular Genetics, 1994
- Gaussian models for genetic linkage analysis using complete high-resolution maps of identity by descent.1993
- Genomic mismatch scanning: a new approach to genetic linkage mappingNature Genetics, 1993
- A simple regression method for mapping quantitative trait loci in line crosses using flanking markersHeredity, 1992
- LINKAGE STRATEGIES FOR GENETICALLY COMPLEX TRAITS .2. THE POWER OF AFFECTED RELATIVE PAIRS1990
- Homozygosity Mapping: A Way to Map Human Recessive Traits with the DNA of Inbred ChildrenScience, 1987
- SOME EPISTATIC 2-LOCUS MODELS OF DISEASE .1. RELATIVE RISKS AND IDENTITY-BY-DESCENT DISTRIBUTIONS IN AFFECTED SIB PAIRS1981
- Frequency in relatives for an all‐or‐none traitAnnals of Human Genetics, 1971