Sentence examples for multifactorial likelihood analysis from inspiring English sources

We have compared the results from multifactorial likelihood analysis with those from several functional analyses for the four BRCA1 sequence variants A1708E, G1738R, R1699Q, and A1708V.

The results provide more-refined LR estimates for downstream multifactorial likelihood analysis and for prediction of BRCA1 and BRCA2 mutation status.

In this scenario, multifactorial likelihood analysis should exclude tumor-pathology information from individuals who had previously contributed to risk prediction used to prioritize families for mutation screening.

In addition, we have extended our previous multifactorial likelihood analysis and now provide convincing evidence for pathogenicity using this approach, with a posterior probability of pathogenicity of 99%.

Our results show that multifactorial likelihood analysis, which incorporates sequence conservation, co-inheritance, segregation, and tumour immunohistochemical analysis, may improve classification of variants.

The estimates will improve BRCA1 and BRCA2 variant classification by using multifactorial likelihood analysis, and inform patient mutation testing and clinical management.

We present our comparison of multifactorial likelihood predictions of pathogenicity and functional analysis of these BRCA1 variants.

(17) Experimental approaches have also been complemented by studies using bioinformatics analysis based on multiple sequence alignment, 22) structure prediction, or multifactorial likelihood modeling in which available genetic data, co-occurrence, and predictive methods are combined.

Thompson BA, et al. A multifactorial likelihood model for MMR gene variant classification incorporating probabilities based on sequence bioinformatics and tumor characteristics: a report from the Colon Cancer Family Registry.

Mattox, J. et al. The likelihood analysis of EGRET data.

There are certain contexts where likelihood analysis is beneficial.