DataGPh: Simulated genetic data

In CroteauCRIUSMQ/EMQLS.test: Extension of MQLS test

Description

Data frame that contains genetic variants with two alleles such as single nucleotide polymorphisms (SNPs) at two independent loci and Two phenotypes Y1 and Y2.

Usage

data(DataGPh)

Format

Data frame contains 100 families of 16 members and 11 variables.

fam.id

a numeric vector represents the family identifying.

subject.id

a numeric vector represents the individual identifying within the family.

father.id

a numeric vector represents the father identifying.

mother.id

a numeric vector represents the mother variable.

sex

a numeric vector represents the sex variable.

Y1

a numeric vector of the endophenotype variable

Y2

a numeric vector of the phenotype variable

X1

a numeric vector of first loci variable

X2

a numeric vector of the second loci variable

V14

a numeric vector the allele 1 for X2

V15

a numeric vector the allele 2 for X2

Details

Data frame comes from the works of A.Bureau et al., (2014). The database contains 100 families of 16 members and 10 variables. It contains genetic variants with two alleles such as single nucleotide polymorphisms (SNPs). The genotypes founders were sampled under Hardy-Weinberg equilibrium using risk allele frequencies (RAFs) of 0.1 at locus 1 and 0.3 at locus 2. The transmission of alleles to their descendants was then simulated following the rules of mendelien inheritance. Two independent loci and two phenotypes Y1 and Y2. For the details, see the simulation section of the article of A.Bureau et al., (2014).

References

Alexandre Bureau, Jordie Croteau, Yvon C. Chagnon, Marc-Andre Roy and Michel Maziade. Extension of the generalized disequilibrium test to polytomous phenotypes and two-locus models. DOI 10.3389/fgene.2014.00258.

Examples

data(DataGPh)
head(DataGPh)

CroteauCRIUSMQ/EMQLS.test documentation built on May 6, 2019, 12:52 p.m.