Currently, we are studying the relation of gene expression and eQTL of additional samples from additional populations by analyzing the data of the International HapMapIII Project, which contains 1,184 samples from 11 global populations [ 5, 115].
Testing these hypotheses will require samples from additional populations; for now the molecular data are most consistent with an Atlantic LSR for Churchill P. fimbriata.
The value of assessing genome-wide data from additional worldwide populations for signals of recent positive selection is thus amply demonstrated.
The version used here varies from the previous reported model [ 14] in that the model had been refitted using data from two additional population based studies [ 44, 45] and using a much larger number of BRCA1 and BRCA2 mutation-positive families [ 1].
While our research has not fully explored the potential impacts of these changes; it remains an important area for future research to address and to incorporate in future modeling efforts, along with an expanded consideration of data from additional climate models and population projections.
The experimental procedure followed that used by Calosi et al. [ 17], from which we extracted data for three additional populations of three different species (A. brunneus, A. ramblae and A. rufulus).
As more data accumulate from additional mapping populations, linkage disequilibrium analyses and genome sequencing, the number of non-conflicting linear map orders will be reduced, ideally to just one possible order.
Although we have incorporated all available published pharmacogenomic studies of statin efficacy into our combined analysis, this study is probably still underpowered and identification of variants with statistically meaningful association to statin efficacy will require analyses in expanded populations once GWA data from additional trials becomes available.
However, examination of data from additional studies with a greater number of plant populations, such as [1], [2], brought this assumption into question.
