EvalAlleleMism: Evaluate mismatched alleles

In hlaR: Tools for HLA Data

Evaluate mismatched alleles

Description

Compare donor and recipient HLA(Human Leukocyte Antigen) typing data to determine mismatched alleles. Input data can be high or low resolution, mismatch is evaluated at the allele level.

Usage

EvalAlleleMism(don_1, don_2, recip_1, recip_2, hmz_cnt = 1)

Arguments

don_1	Donor's alpha1 domain.
don_2	Donor's alpha2 or beta1 domain.
recip_1	Recipient's alpha1 domain.
recip_2	Recipient's alpha2 or beta1 domain.
hmz_cnt	Use hmz_cnt to determine how mismatch at homozygous alleles should be handled. By default, a mismatch at a homozygous allele is considered a single mismatch. Set hmz_cnt = 2 to count homozygous mismatches as double.

Value

A data frame of original input columns followed by mism_cnt of each donor/recipient pair.

Examples

dat <- read.csv(system.file("extdata/example", "HLA_Clean_test.csv", package = "hlaR"))
re <- EvalAlleleMism(dat$donor_a1, dat$donor_a2, dat$recipient_a1, dat$recipient_a2, hmz_cnt = 2)

hlaR documentation built on Feb. 16, 2023, 7:04 p.m.