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We investigated the genetic basis of this difference in 4464 African Americans from the Jackson Heart Study (JHS) using a panel of up to 1447 ancestry informative markers, allowing us to accurately estimate the African ancestry proportion of each individual at each position in the genome.

Under the admixture model, the posterior probability approximates the proportion of each individual's genome that is derived from each species [62].

A model-based clustering method implemented in the program STRUCTURE version 2.2 [62] [64] was used to determine the probability of each individual (non-admixture models) or the proportion of each individual's genome (admixture model) from homogenous clusters without consideration of sampling locations for both the SSR and the AFLP data sets.

The proportion of each individual amino acid was estimated for each sequence.

The proportion of each individual in each population assigned into two sub-clusters (Clusters I and II) (Fig.  2), resulted in agreement with UPGMA dendrogram [see Supporting Information— Fig. S5 ].

Acceptability was explored by consideration of the overall response rate (percentage of questionnaires returned) and the completeness of each question (proportion of each individual question with a valid response).

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One approach to incorporating niche variability into this model would be to treat the dietary proportions of each individual as independent Dirichlet distributions.

Structure is a mixture model-based Bayesian clustering method that groups individuals into K populations or species and assigns admixture proportions of each individual to these groups.

We run structure on each set of genotypes with the number of populations set to two to learn the admixing proportions of each individual.

We then added, one at the time, the interaction terms between PM2.5 and the monthly average species-to-PM2.5 proportions of each individual species (Valdes et al. 2012).

To determine the K number of ancestral populations and the ancestry membership proportions of each individual in each population, the algorithm was run 20 times for each defined number of groups (K value) from 1 to 10.

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