We are therefore undertaking work to examine differences in gene expression between the population extremes for biomass yield.
Step 3 sometimes compares gene expression on congenic and background strains (Congenic design) or between animals with extreme phenotypes from a segregating population (Extremes design).
To identify novel disease genes, this approach would need to be extended to perform WGS or WES in the population extremes of a trait.
Since it excluded population extremes, the selection of Generation 0 of the RB line was only partially random, but the selection of subsequent generations was entirely random.
We discuss historical and contemporary approaches to disease gene identification, focusing on novel opportunities such as the use of population extremes and the identification of rare variants.
Gene frequencies are also altered as part of the design of traditional mapping panels, which typically involve some level of inbreeding, combined with crosses between a few individuals representing phenotypic or even population extremes.
Studies of anaemia prevalence in specific disease groups (diabetes, rheumatoid arthritis, renal disease) or in "extreme" populations (extreme poverty, poor nutrition) were excluded.
By simulating the interaction in virtual populations, extreme cases can also be evaluated by identifying the characteristics of the most susceptible individuals.
