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Our study supports the hypothesis that platelet phenotypes in response to ASA likely have genetic control and the combined approach of linkage and association offers an alternative approach to prioritizing regions of interest for subsequent follow-up.
Because of the suggested additive effects of different genetic variants predisposing to longevity, the combined approach of linkage analysis in affected sib pairs (ASP) in candidate regions for high frequent variants and Genome Wide Association for less frequent polymorphisms [ 1] is considered promising for the identification of the genetic component of human longevity.
A two-step approach of linkage analysis using single nucleotide polymorphism (SNP) microarrays to detect high logarithm of odds (LOD) score regions and subsequent targeted re-sequencing of regions of interest has been utilized in many genomic studies to intensify the power of detection [ 7].
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The contrasting genetic approaches of linkage and association are complementary and normally explore competing hypotheses regarding the underlying genetic architecture of disease progression.
In light of these two limitations, we have implemented several novel approaches to best search for susceptibility loci, implementing the principal component approach to first find factors that represent the underlying biological correlation between the multitude of measured phenotypes and the combined approaches of linkage and association with two sets of marker data.
These methods follow the broad spectrum of genetic approaches for dissecting complex traits, from general mixed models, use of covariances between relatives and identification of parent of origin effects in phenotype inheritance for traits without genotypic information available; to the marker-based approaches of linkage mapping, association studies and QTL mapping.
The results of this study indicate that a combined approach of deterministic linkage using an SLK-581 and probabilistic linkage of APD records provides more accurate results than using the SLK-581 alone.
We believe our simulations establish LOCate as a valuable complementary approach for linkage analysis of categorical traits, particularly nominal traits.
Multivariate analysis can also improve the ability to detect susceptible genetic variants whose effects are too small to be detected in univariate analysis [38], and the literature contains multiple applications of this approach to linkage studies [37] [42].
Here we validate the X-QTL approach for linkage analysis of a biomedically important trait (oxamniquine (OXA) resistance) in the human blood fluke Schistosoma mansoni for which the causative gene (Smp_089320 on chromosome 6) is now known [ 10].
Rowland, G. F., O'Neill, G. J. & Davies, D. A. L. Suppression of tumour growth in mice by a drug antibody conjugate using a novel approach to linkage.
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