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Biostatistics and Bioinformatics Branch (BBB)

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Association analysis of complex diseases using triads, parent-child dyads and singleton monads

Example file

setwd("C:/NICHD/Research/software/Fan/Joint_association_analysis/")

source("C:/NICHD/Research/software/Fan/Joint_association_analysis/FT_Add.R")
source("C:/NICHD/Research/software/Fan/Joint_association_analysis/FT_Dom.R")
source("C:/NICHD/Research/software/Fan/Joint_association_analysis/FT_Mult.R")
source("C:/NICHD/Research/software/Fan/Joint_association_analysis/FT_Rec.R")
source("C:/NICHD/Research/software/Fan/Joint_association_analysis/FT_Unr.R")

triad <- read.csv(file="C:/NICHD/Research/software/Fan/Joint_association_analysis/triad.csv", head=TRUE,sep=",", na.strings = "", row.names = 1)
dyad <- read.csv(file="C:/NICHD/Research/software/Fan/Joint_association_analysis/dyad.csv", head=TRUE,sep=",", na.strings = "", row.names = 1)
monad <- read.csv(file="C:/NICHD/Research/software/Fan/Joint_association_analysis/monad.csv", head=TRUE,sep=",", na.strings = "", row.names = 1)

triad
dyad
monad

#1. Additive: LRT, p-value
(ft.ADD = FT.ADD(triad, dyad, monad))

#2. Dominant: LRT, p-value
(ft.DOM= FT.DOM(triad, dyad, monad))

#3. Multiplicative: LRT, p-value
(ft.MULT = FT.MULT(triad, dyad, monad))

#4. Recessive: LRT, p-value
(ft.REC = FT.REC(triad, dyad, monad))

#5. Unrestricted: LRT, p-value
(ft.UNR = FT.UNR(triad, dyad, monad))

Last Updated Date: 09/03/2013
Last Reviewed Date: 09/03/2013

Contact Information

Name: Dr Paul Albert
Chief and Senior Investigator
Biostatistics and Bioinformatics Branch
Phone: 301-496-5582
E-mail: albertp@mail.nih.gov

Staff Directory
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