Abstracts » Biological sciences

Methods of linkage analysis -- and the assumptions underlying them

Article Abstract:

The single-location P value may best indicate the probability that a gene is linked to a trait. Linkage analysis is an estimate of the number of recombinant genes relative to nonrecombinant genes within a genotype. An arbitrary score that describes a ratio of the maximum likelihood of genetic linkage to the likelihood when the recombinant fraction of 50% can be used in linkage analysis. The best analytical models are uncertain when considering complex multigenetic traits. Determination of statistical significance in linkage analysis remains an ongoing debate.

Analysis, Statistics, Gene expression, Genetics, Linkage (Genetics)

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Multiple phenotype modeling in gene-mapping studies of quantitative traits: power advantages

Article Abstract:

Significant increases in loci-mapping power can be achieved through multiple phenotype modeling. This simple statistical model reduces the costs of typical gene-mapping procedures such as those with larger sample sizes, novel subject-ascertainment schemes and greater DNA marker density. It incorporates multiple diagnostic and phenotypic endpoints with quantitative-trait loci to create a gene-mapping analysis.

Research, Models, Genomes, Phenotype, Phenotypes, Genetic research

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