Data used for modelling the association between environmental variables and genetic variation measured as probability of each individual (n = 752) to be assigned to Cluster 1 (based on STRUCTURE with K = 2, please see Figure 3 and Table 3)
Gene-environment interaction (G x E) is likely to be a common and important source of variation for ...
This data file contains data from three separate experiments. In each experiment, three traits (Body...
Genome-environment association methods aim to detect genetic markers associated with environmental v...
Environmental data used in our study for climate associations with genetic clustering coefficients
Environmental data used in models associating climate with fine-scale genetic structure (FSGS)
The inclusion of environmental exposure data may be beneficial, in terms of statistical power, to in...
Despite longstanding interest in gene-by-environment (GxE) interactions, the contribution of GxE int...
Biostatistical methodology to accommodate genotype by environment (G-E) interactions in planned bree...
Complex diseases are likely to be caused by the interplay of genetic and environmental factors. Desp...
Gene–environment studies have been motivated by the likely ex-istence of prevalent low-risk genes th...
There has been an increased interest in identifying gene-environment interaction (G × E) in the cont...
<p><b>Estimated genetic correlations extracted from the fitted multi-environment model for individua...
This thesis shows how statistical methods based on logistic regression models canbe used to analyze ...
Adaptation to local environments often occurs through natural selection acting on a large number of ...
The analysis of gene-environment interaction (G×E) may hold the key for further understanding the et...
Gene-environment interaction (G x E) is likely to be a common and important source of variation for ...
This data file contains data from three separate experiments. In each experiment, three traits (Body...
Genome-environment association methods aim to detect genetic markers associated with environmental v...
Environmental data used in our study for climate associations with genetic clustering coefficients
Environmental data used in models associating climate with fine-scale genetic structure (FSGS)
The inclusion of environmental exposure data may be beneficial, in terms of statistical power, to in...
Despite longstanding interest in gene-by-environment (GxE) interactions, the contribution of GxE int...
Biostatistical methodology to accommodate genotype by environment (G-E) interactions in planned bree...
Complex diseases are likely to be caused by the interplay of genetic and environmental factors. Desp...
Gene–environment studies have been motivated by the likely ex-istence of prevalent low-risk genes th...
There has been an increased interest in identifying gene-environment interaction (G × E) in the cont...
<p><b>Estimated genetic correlations extracted from the fitted multi-environment model for individua...
This thesis shows how statistical methods based on logistic regression models canbe used to analyze ...
Adaptation to local environments often occurs through natural selection acting on a large number of ...
The analysis of gene-environment interaction (G×E) may hold the key for further understanding the et...
Gene-environment interaction (G x E) is likely to be a common and important source of variation for ...
This data file contains data from three separate experiments. In each experiment, three traits (Body...
Genome-environment association methods aim to detect genetic markers associated with environmental v...
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