Package: plinkQC 0.3.4

Hannah Meyer

plinkQC: Genotype Quality Control with 'PLINK'

Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. 'plinkQC' facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from 'R' and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study.

Authors:Hannah Meyer [aut, cre]

plinkQC_0.3.4.tar.gz
plinkQC_0.3.4.zip(r-4.5)plinkQC_0.3.4.zip(r-4.4)plinkQC_0.3.4.zip(r-4.3)
plinkQC_0.3.4.tgz(r-4.4-any)plinkQC_0.3.4.tgz(r-4.3-any)
plinkQC_0.3.4.tar.gz(r-4.5-noble)plinkQC_0.3.4.tar.gz(r-4.4-noble)
plinkQC_0.3.4.tgz(r-4.4-emscripten)plinkQC_0.3.4.tgz(r-4.3-emscripten)
plinkQC.pdf |plinkQC.html
plinkQC/json (API)
NEWS

# Install 'plinkQC' in R:
install.packages('plinkQC', repos = c('https://meyer-lab-cshl.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/meyer-lab-cshl/plinkqc/issues

On CRAN:

6.71 score 55 stars 47 scripts 353 downloads 25 exports 51 dependencies

Last updated 3 years agofrom:a0337eb0c6. Checks:OK: 3 NOTE: 3 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winERROROct 29 2024
R-4.5-linuxNOTEOct 29 2024
R-4.4-winNOTEOct 29 2024
R-4.4-macNOTEOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:check_ancestrycheck_het_and_misscheck_hwecheck_mafcheck_relatednesscheck_sexcheck_snp_missingnesscheckFilteringcheckPlinkcleanDataevaluate_check_ancestryevaluate_check_het_and_missevaluate_check_relatednessevaluate_check_sexoverviewPerIndividualQCoverviewPerMarkerQCperIndividualQCperMarkerQCrelatednessFilterrun_check_ancestryrun_check_heterozygosityrun_check_missingnessrun_check_relatednessrun_check_sextestNumerics

Dependencies:clicolorspacecowplotcpp11data.tabledplyrfansifarvergenericsgetoptggforceggplot2ggrepelgluegridExtragtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeoptparsepillarpkgconfigplyrpolyclipR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppEigenrlangscalessyssystemfontstibbletidyselecttweenrUpSetRutf8vctrsviridisLitewithr

Processing 1000 Genomes reference data for ancestry estimation

Rendered fromGenomes1000.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2021-02-08
Started: 2018-10-31

Ancestry estimation based on reference samples of known ethnicities

Rendered fromAncestryCheck.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2021-12-04
Started: 2018-10-23

Genotype quality control with plinkQC

Rendered fromplinkQC.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2021-02-08
Started: 2018-10-20

Processing HapMap III reference data for ancestry estimation

Rendered fromHapMap.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2021-02-08
Started: 2018-10-24

Readme and manuals

Help Manual

Help pageTopics
Identification of individuals of divergent ancestrycheck_ancestry
Identification of individuals with outlying missing genotype or heterozygosity ratescheck_het_and_miss
Identification of SNPs showing a significant deviation from Hardy-Weinberg- equilibrium (HWE)check_hwe
Identification of SNPs with low minor allele frequencycheck_maf
Identification of related individualscheck_relatedness
Identification of individuals with discordant sex informationcheck_sex
Identification of SNPs with high missingness ratecheck_snp_missingness
Check and construct PLINK sample and marker filterscheckFiltering
Check PLINK software accesscheckPlink
Check and construct individual IDs to be removedcheckRemoveIDs
Create plink dataset with individuals and markers passing quality controlcleanData
Evaluate results from PLINK PCA on combined study and reference dataevaluate_check_ancestry
Evaluate results from PLINK missing genotype and heterozygosity rate check.evaluate_check_het_and_miss
Evaluate results from PLINK IBD estimation.evaluate_check_relatedness
Evaluate results from PLINK sex check.evaluate_check_sex
Overview of per sample QCoverviewPerIndividualQC
Overview of per marker QCoverviewPerMarkerQC
Quality control for all individuals in plink-datasetperIndividualQC
Quality control for all markers in plink-datasetperMarkerQC
Remove related individuals while keeping maximum number of individualsrelatednessFilter
Run PLINK principal component analysisrun_check_ancestry
Run PLINK heterozygosity rate calculationrun_check_heterozygosity
Run PLINK missingness rate calculationrun_check_missingness
Run PLINK IBD estimationrun_check_relatedness
Run PLINK sexcheckrun_check_sex
Test lists for different properties of numericstestNumerics