Both linkage and association methods have been used to localise and identify genes related to behaviour and other complex traits. The linkage approach (parametric or non-parametric) can be used for whole genome screens to localise genes of unknown function. The parametric linkage approach is very effective for locating single-gene disorders and is usually based on large family pedigrees. The non-parametric method is useful to detect quantitative trait loci (QTLs) for complex traits and was originally developed for sib pair analyses. Genetic association studies are most often used to test the association of alleles at a candidate gene with a disease or with levels of a quantitative trait. Allelic association between a trait and a marker can ...
Low-penetrance alleles are likely to contribute to inherited susceptibility to many complex traits. ...
Because the genotype-phenotype correlation information is investigated differently by linkage and as...
Motivation: Although population-based association mapping may be subject to the bias caused by popul...
Genetic association studies aim to detect association between one or more genetic polymorphisms and ...
Disease gene mapping is the first step towards our ultimate goal for understanding the etiology of a...
Genetic mapping by linkage analysis has been an invaluable tool in the positional strategy to identi...
Linkage analysis makes use of genetic markers to measure genetic similarity between relatives. By co...
Genes play an important role in the study of hereditary diseases. The human genome contains thousand...
Mapping genes for complex human traits is facilitated by two commonly used analytical methods: linka...
For complex diseases, we often sample and genotype affected sibships to map the disease of interest ...
Statistical approaches used for gene mapping can be divided into two types: linkage and association ...
Quantitative variation underlies normal as well as pathological traits, and large part of this varia...
The spread and clinical manifestations of an infection in human populations depend on a variety of f...
In the 'indirect' method of detecting genetic associations between a trait and a DNA variant, we typ...
The goal of genetic mapping is to locate genes that aect particular traits such as blood pressure, o...
Low-penetrance alleles are likely to contribute to inherited susceptibility to many complex traits. ...
Because the genotype-phenotype correlation information is investigated differently by linkage and as...
Motivation: Although population-based association mapping may be subject to the bias caused by popul...
Genetic association studies aim to detect association between one or more genetic polymorphisms and ...
Disease gene mapping is the first step towards our ultimate goal for understanding the etiology of a...
Genetic mapping by linkage analysis has been an invaluable tool in the positional strategy to identi...
Linkage analysis makes use of genetic markers to measure genetic similarity between relatives. By co...
Genes play an important role in the study of hereditary diseases. The human genome contains thousand...
Mapping genes for complex human traits is facilitated by two commonly used analytical methods: linka...
For complex diseases, we often sample and genotype affected sibships to map the disease of interest ...
Statistical approaches used for gene mapping can be divided into two types: linkage and association ...
Quantitative variation underlies normal as well as pathological traits, and large part of this varia...
The spread and clinical manifestations of an infection in human populations depend on a variety of f...
In the 'indirect' method of detecting genetic associations between a trait and a DNA variant, we typ...
The goal of genetic mapping is to locate genes that aect particular traits such as blood pressure, o...
Low-penetrance alleles are likely to contribute to inherited susceptibility to many complex traits. ...
Because the genotype-phenotype correlation information is investigated differently by linkage and as...
Motivation: Although population-based association mapping may be subject to the bias caused by popul...