The differences emerging from his gene chips are mostly neutral variation, meaning changes to which natural selection is indifferent because they do not affect survival.
This 'selective sweep' temporarily reduces the level of neutral variation in the vicinity of selected sites until it can be replaced by mutation.
We assess the performance of the CMAT and other pooling methods on datasets simulated with population genetic models to contain realistic levels of neutral variation.
Balanced polymorphisms inflate levels of linked neutral variation [27], [28], [29].
It is thus critical to distinguish potential causative variants from neutral variation before performing association tests.
A critical component of evolvability is the presence of neutral variation in a population [43] [46].
The importance of this neutral variation is its effect on the fitness of subsequent mutations.
Sweeps of male-benefit alleles would fix neutral variation across the entire neo-Y chromosome [58].
Our network model illustrates the mechanism of neutral variation in the publish-subscribe view of gene regulation.
In that case, the only loci contributing to heterogeneity are those that do not cause a fitness difference when mutated – i.e., neutral variation.
This was done in order to improve the power of these tests by distinguishing potential causative variants from background neutral variation.
