fst.hudson: Calculate the average fixation index (Fst) between two groups...

In kridsadakorn/kris: Keen and Reliable Interface Subroutines for Bioinformatic Analysis

Calculate the average fixation index (Fst) between two groups of individuals from Single-nucleotide polymorphism (SNP)

Description

Fixation index (Fst) calculation was implemented using Hudson method as in Bhatia (2013) and Hudson (1992).

Usage

fst.hudson(X, idx.p1, idx.p2)

Arguments

X	A matrix contains the number 0, 1, and 2 representing SNP in additive coding. Rows represent individuals and columns represent SNP.
idx.p1	An integer vector contains the row indices of first population in the matrix X.
idx.p2	An integer vector contains the row indices of second population in the matrix X.

Value

The function returns an average Fst value between 2 specified groups.

References

Bhatia, G., Patterson, N., Sankararaman, S., and Price, A.L. (2013). Estimating and interpreting FST: The impact of rare variants. Genome Res. 23, 1514-1521.

Hudson, R.R., Slatkin, M., and Maddison, W.P. (1992). Estimation of levels of gene flow from DNA sequence data. Genetics 132, 583-589.

See Also

fst.each.snp.hudson

Examples

#Load simulated dataset
data(example_SNP)

idx1 <- which(sample_labels == 'pop1')
idx2 <- which(sample_labels == 'pop2')
fst <- fst.hudson(simsnp$snp, idx1, idx2)

#Print out the Fst value between 'pop1' and 'pop2'
print(fst)

kridsadakorn/kris documentation built on April 28, 2022, 4:23 a.m.