LOD score exclusion analyses for candidate genes using random population samples

LOD score exclusion analyses for candidate genes using random population samples.

While extensive analyses have been conducted to test for, no formal analyses have been conducted to test against, the importance of candidate genes with random population samples. We develop a LOD score approach for exclusion analyses of candidate genes with random population samples. Under this approach, specific genetic effects and inheritance models at candidate genes can be analysed and if ...

Coproporphyrin Analyses on Random Urine Samples.

The fluorometric procedure of determining coproporphyrin has been adapted to determine coproporphyrin on random urine specimens. This adaptation depends on determining both coproporphyrin and creatinine. A mathematical relationship is established for the amount of coproporphyrin excreted when 1200 mg. of creatinine is excreted. An important advantage of the random procedure is the elimination o...

The power to detect linkage in complex disease by means of simple LOD-score analyses.

Maximum-likelihood analysis (via LOD score) provides the most powerful method for finding linkage when the mode of inheritance (MOI) is known. However, because one must assume an MOI, the application of LOD-score analysis to complex disease has been questioned. Although it is known that one can legitimately maximize the maximum LOD score with respect to genetic parameters, this approach raises ...

Modularized Random Walk with Restart for Candidate Disease Genes Prioritization∗

Identifying disease genes is very important not only for better understanding of gene function and biological process but also for human medical improvement. Many previous methods are based on modular nature of human genetic disease and the similarity between known disease genes and candidate genes. In this paper, we propose the method of Modularized Random Walk with Restart (MRWR) based on the...

Asthma Candidate Genes in the Finnish Population