We used this linkage to merge LSOA-level data from the Neighbourhood Statistics website to individual BCSP participants (Neighbourhood Statistics website, 2011).
We have demonstrated that it is possible to robustly match patients recruited into the NSCCG into the NCDR and, by using this record linkage, enable genetic data to be related to CRC phenotype, clinical management and outcome.
However, using this approach the linkage between morphological and genetic information gets lost, which may hinder linking new information to the global taxonomic framework and the published ecological and evolutionary literature.
Using this assumption, numerous linkage map and quantitative trait loci studies have been carried out.
Approximately 83% of the B. oleracea genome has been assembled using this high-density linkage map, and the results will be published in a future paper.
Using this second-generation linkage map, Protas et al. (2008) discovered a genetic basis for several cave-associated phenotypic changes including pigmentation regression, reduced rib numbers, slower weight loss, and increased chemical sensitivity.
Using this assumption, numerous linkage map construction and QTL identification studies have been successfully carried out (Burow et al. 2001; Varshney et al. 2009; Hong et al. 2010; Fonceka et al. 2012; Gautami et al. 2012; Qin et al. 2012; Shirasawa et al. 2012, 2013; Sujay et al. 2012; Wang et al. 2012; Zhou et al. 2014).
Using this approach identical linkages to those seen in the 454 data were observed.
In their case, imputation was undertaken using linkage and linkage disequilibrium information.
The advantage of using this measure for assessing linkage equilibrium is that it combines measures over all loci as a single estimate and it allows a robust statistical test for the agreement with the null hypothesis of panmixia.
