LD pruning
Before running PCA, we use LD pruning to select a set of independent SNPs for analysis. We use the snpgdsLDpruning
in the SNPRelate package, which returns a list of snp IDs.
library(SNPRelate)
# read in GDS data
gds <- snpgdsOpen(gdsfile)
snpset <- snpgdsLDpruning(gds, method="corr", slide.max.bp=10e6,
ld.threshold=sqrt(0.1), verbose=FALSE)
pruned <- unlist(snpset, use.names=FALSE)
length(pruned)
## [1] 3826
head(pruned)
## [1] 6 7 15 17 22 31
snpgdsClose(gds)
Pairwise Measures of Ancestry Divergence
It is possible to identify a subset of mutually unrelated individuals in a sample based solely on pairwise measures of genetic relatedness (i.e. kinship coefficients). However, in order to obtain accurate population structure inference for the entire sample, it is important that the ancestries of all individuals in the sample are represented by at least one individual in this subset. In order to identify a mutually unrelated and ancestry representative subset of individuals, PC-AiR also utilizes measures of ancestry divergence. These measures are calculated using the KING-robust kinship coefficient estimator (Manichaikul et al., 2010), which provides systematically negative estimates for unrelated pairs of individuals with different ancestry. The number of negative pairwise estimates that an individual has provides information regarding how different that individual’s ancestry is from the rest of the sample, which helps to prioritize individuals that should be kept in the ancestry representative subset.
The relevant output from the KING software is two text files with the file extensions .kin0 and .kin. The kingToMatrix
function can be used to extract the kinship coefficients (which we use as divergence measures) from this output and create a matrix usable by the *[GENESIS](https://bioconductor.org/packages/3.12/GENESIS)*
functions.
# create matrix of KING estimates
library(GENESIS)
KINGmat <- kingToMatrix(
c(system.file("extdata", "MXL_ASW.kin0", package="GENESIS"),
system.file("extdata", "MXL_ASW.kin", package="GENESIS")),
estimator = "Kinship")
KINGmat[1:5,1:5]
## 5 x 5 Matrix of class "dsyMatrix"
## NA19625 NA19649 NA19650 NA19651 NA19652
## NA19625 0.5000 -0.0761 -0.0656 -0.0497 -0.0486
## NA19649 -0.0761 0.5000 0.2513 -0.0187 -0.0141
## NA19650 -0.0656 0.2513 0.5000 -0.0037 -0.0033
## NA19651 -0.0497 -0.0187 -0.0037 0.5000 0.0112
## NA19652 -0.0486 -0.0141 -0.0033 0.0112 0.5000
The column and row names of the matrix are the individual IDs, and each off-diagonal entry is the KING-robust estimate for the specified pair of individuals.
Alternative to running the KING software, the snpgdsIBDKING
function from the SNPRelate package can be used to calculate the KING-robust estimates directly from a GDS file. The ouput of this function contains a matrix of pairwise estimates, which can be used by the GENESIS functions.
Running PC-AiR
The PC-AiR algorithm requires pairwise measures of both kinship and ancestry divergence in order to partition the sample into an “unrelated subset” and a “related subset.” The kinship coefficient estimates are used to identify relatives, as only one individual from a set of relatives can be included in the “unrelated subset,” and the rest must be assigned to the “related subset.” The ancestry divergence measures calculated from KING-robust are used to help select which individual from a set of relatives has the most unique ancestry and should be given priority for inclusion in the “unrelated subset.”
The KING-robust estimates read in above are always used as measures of ancestry divergence for unrelated pairs of individuals, but they can also be used as measures of kinship for relatives (NOTE: they may be biased measures of kinship for admixed relatives with different ancestry). The pcair
function performs the PC-AiR analysis.
We use the GWASTools package to create the GenotypeData object needed by GENESIS.
library(GWASTools)
HapMap_geno <- GdsGenotypeReader(filename = gdsfile)
# create a GenotypeData class object
HapMap_genoData <- GenotypeData(HapMap_geno)
HapMap_genoData
## An object of class GenotypeData
## | data:
## File: /tmp/RtmpEIQKq1/Rinst3f991dc87fd7/GENESIS/extdata/HapMap_ASW_MXL_geno.gds (901.8K)
## + [ ] *
## |--+ sample.id { Int32,factor 173 ZIP(40.9%), 283B } *
## |--+ snp.id { Int32 20000 ZIP(34.6%), 27.1K }
## |--+ snp.position { Int32 20000 ZIP(34.6%), 27.1K }
## |--+ snp.chromosome { Int32 20000 ZIP(0.13%), 103B }
## \--+ genotype { Bit2 20000x173, 844.7K } *
## | SNP Annotation:
## NULL
## | Scan Annotation:
## NULL
# run PC-AiR on pruned SNPs
mypcair <- pcair(HapMap_genoData, kinobj = KINGmat, divobj = KINGmat,
snp.include = pruned)
## Principal Component Analysis (PCA) on genotypes:
## Excluding 16,174 SNPs (non-autosomes or non-selection)
## Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
## # of samples: 97
## # of SNPs: 3,826
## using 1 thread
## # of principal components: 32
## PCA: the sum of all selected genotypes (0,1,2) = 185850
## CPU capabilities: Double-Precision SSE2
## Thu Jan 28 19:34:23 2021 (internal increment: 33400)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Thu Jan 28 19:34:23 2021 Begin (eigenvalues and eigenvectors)
## Thu Jan 28 19:34:23 2021 Done.
## SNP Loading:
## # of samples: 97
## # of SNPs: 3,826
## using 1 thread
## using the top 32 eigenvectors
## SNP Loading: the sum of all selected genotypes (0,1,2) = 185850
## Thu Jan 28 19:34:23 2021 (internal increment: 65536)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Thu Jan 28 19:34:23 2021 Done.
## Sample Loading:
## # of samples: 76
## # of SNPs: 3,826
## using 1 thread
## using the top 32 eigenvectors
## Sample Loading: the sum of all selected genotypes (0,1,2) = 144468
## Thu Jan 28 19:34:23 2021 (internal increment: 65536)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Thu Jan 28 19:34:23 2021 Done.
genoData
is a GenotypeData
class object
kinobj
is a matrix of pairwise kinship coefficient estimates
divobj
is a matrix of pairwise measures of ancestry divergence (KING-robust estimates)
snp.include
is a vector of snp IDs
If better estimates of kinship coefficients are available, then the kinobj
input can be replaced with a similar matrix of these estimates. The divobj
input should always remain as the KING-robust estimates.
Reference Population Samples
As PCA is an unsupervised method, it is often difficult to identify what population structure each of the top PCs represents. In order to provide some understanding of the inferred structure, it is sometimes recommended to include reference population samples of known ancestry in the analysis. If the data set contains such reference population samples, we may want to make sure that these reference population samples are included in the “unrelated subset.” This can be accomplished by setting the input unrel.set
equal to a vector, IDs
, of the individual IDs for the reference population samples.
mypcair <- pcair(HapMap_genoData, kinobj = KINGmat, divobj = KINGmat,
snp.include = pruned, unrel.set = IDs)
This will force individuals specified with unrel.set
into the “unrelated subset,” move any of their relatives into the “related subset,” and then perform the PC-AiR partitioning algorithm on the remaining samples.
Partition a Sample without Running PCA
It may be of interest to partition a sample into an ancestry representative “unrelated subset” of individuals and a “related subset” of individuals without performing a PCA. The pcairPartition
function, which is called within the pcair
function, enables the user to do this.
part <- pcairPartition(kinobj = KINGmat, divobj = KINGmat)
The output contains two vectors that give the individual IDs for the “unrelated subset” and the “related subset.”
head(part$unrels); head(part$rels)
## [1] "NA19708" "NA19711" "NA19712" "NA19737" "NA19740" "NA19741"
## [1] "NA19686" "NA20346" "NA20345" "NA20347" "NA19664" "NA19677"
As with the pcair
function, the input unrel.set
can be used to specify certain individuals that must be part of the “unrelated subset.”
Output from PC-AiR
An object returned from the pcair
function has class pcair
. A summary
method for an object of class pcair
is provided to obtain a quick overview of the results.
summary(mypcair)
## Call:
## .pcair(gdsobj = gdsobj, kinobj = kinobj, divobj = divobj, kin.thresh = kin.thresh,
## div.thresh = div.thresh, unrel.set = unrel.set, sample.include = sample.include,
## snp.include = snp.include, num.cores = num.cores, verbose = verbose)
##
## PCA Method: PC-AiR
##
## Sample Size: 173
## Unrelated Set: 97 Samples
## Related Set: 76 Samples
##
## Kinship Threshold: 0.02209709
## Divergence Threshold: -0.02209709
##
## Principal Components Returned: 32
## Eigenvalues: 2.946 1.717 1.326 1.292 1.277 1.255 1.242 1.223 1.219 1.201 ...
## SNPs Used: 3826
The output provides the total sample size along with the number of individuals assigned to the unrelated and related subsets, as well as the threshold values used for determining which pairs of individuals were related or ancestrally divergent. The eigenvalues for the top PCs are also shown, which can assist in determining the number of PCs that reflect structure. The minor allele frequency (MAF) filter used for excluding SNPs is also specified, along with the total number of SNPs analyzed after this filtering. Details describing how to modify the analysis parameters and the available output of the function can be found with the command help(pcair)
.
Plotting PC-AiR PCs
The GENESIS package also provides a plot
method for an object of class pcair
to quickly visualize pairs of PCs. Each point in one of these PC pairs plots represents a sample individual. These plots help to visualize population structure in the sample and identify clusters of individuals with similar ancestry.
# plot top 2 PCs
plot(mypcair)
# plot PCs 3 and 4
plot(mypcair, vx = 3, vy = 4)
![](data:image/png;base64,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)
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)
The default is to plot PC values as black dots and blue pluses for individuals in the “unrelated subset” and “related subsets” respectively. The plotting colors and characters, as well as other standard plotting parameters, can be changed with the standard input to the plot
function.