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] 3897
head(pruned)
## [1] 1 6 7 28 35 37
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/3.20/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/Rtmp31zlW3/Rinst3713d347aa36/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 16,103 SNPs (non-autosomes or non-selection)
## Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
## # of samples: 97
## # of SNPs: 3,897
## using 1 thread
## # of principal components: 32
## PCA: the sum of all selected genotypes (0,1,2) = 193415
## CPU capabilities: Double-Precision SSE2
## Wed May 1 17:26:30 2024 (internal increment: 32048)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Wed May 1 17:26:30 2024 Begin (eigenvalues and eigenvectors)
## Wed May 1 17:26:30 2024 Done.
## SNP Loading:
## # of samples: 97
## # of SNPs: 3,897
## using 1 thread
## using the top 32 eigenvectors
## SNP Loading: the sum of all selected genotypes (0,1,2) = 193415
## Wed May 1 17:26:30 2024 (internal increment: 65536)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Wed May 1 17:26:30 2024 Done.
## Sample Loading:
## # of samples: 76
## # of SNPs: 3,897
## using 1 thread
## using the top 32 eigenvectors
## Sample Loading: the sum of all selected genotypes (0,1,2) = 150718
## Wed May 1 17:26:30 2024 (internal increment: 65536)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Wed May 1 17:26:30 2024 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: 2.915 1.74 1.306 1.281 1.277 1.263 1.242 1.239 1.234 1.208 ...
## SNPs Used: 3897
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.