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Linkage testing is a less sensitive method of testing and requires a suitable family structure.
In this event pathway linkage testing is used rather than sequence analysis to identify an APC mutation.
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This was achieved through the application of a genome-wide linkage methodology, testing for linkage between each expression trait and the same 1,011 microsatellite markers in each of the four study tissues.
In order to estimate these quantities, we must compare the number of statistically significant linkage tests with the estimated number of truly null and truly alternative linkage tests.
Thus, approximately 103 true-positive trans-acting QTL are detected in the 5067 random single marker linkage tests.
There were 157 linkages called significant at LOD≥1.37 among the 5067 random marker linkage tests, and the associated FDR was ≈0.342.
For the 1206 linkage tests significant at LOD≥1.37, the FDR estimated by Storey's and Tibshirani's method was 0.026.
First, we estimated the proportion of truly null tests (denoted π0) and truly alternative tests (1−π0) across all 5067 single marker linkage tests performed at the marker closest to the locus of the gene in question.
The estimate of π0 for this set of tests is approximately 0.898, indicating that about 518/5067 of these single marker linkage tests at random loci detect true trans-acting QTL.
Assuming that trans-acting regulatory QTL are distributed randomly with respect to their target genes, we estimated the rate at which these single marker linkage tests detect linked trans-acting regulatory QTL by testing each gene expression trait for linkage to randomly chosen markers in the genome [23].
No pairs of loci were physically linked based on linkage tests.
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