TY - JOUR
T1 - Covariates in linkage analysis using sibling and cousin pairs
AU - Saccone, N. L.
AU - Rochberg, N.
AU - Neuman, R. J.
AU - Rice, J. P.
PY - 2001
Y1 - 2001
N2 - Using simulated data from GAW 12, problem 2, we further develop a novel technique to detect and use significant covariates in linkage analysis. The method, first introduced by Rice et al. [Genet Epidemiol 17(Suppl. 1):S691-5, 1999], uses logistic regression to model perturbation in sharing as a function of covariate levels. The original method allows use of all sib pairs (concordant affected, concordant unaffected, and discordant). Here we extend this method to include cousin pairs in analysis.
AB - Using simulated data from GAW 12, problem 2, we further develop a novel technique to detect and use significant covariates in linkage analysis. The method, first introduced by Rice et al. [Genet Epidemiol 17(Suppl. 1):S691-5, 1999], uses logistic regression to model perturbation in sharing as a function of covariate levels. The original method allows use of all sib pairs (concordant affected, concordant unaffected, and discordant). Here we extend this method to include cousin pairs in analysis.
KW - Allele-sharing methods
KW - Identity by descent
KW - Logistic regression
KW - Relative pairs
UR - http://www.scopus.com/inward/record.url?scp=0034792716&partnerID=8YFLogxK
U2 - 10.1002/gepi.2001.21.s1.s540
DO - 10.1002/gepi.2001.21.s1.s540
M3 - Article
C2 - 11793733
AN - SCOPUS:0034792716
SN - 0741-0395
VL - 21
SP - S540-S545
JO - Genetic Epidemiology
JF - Genetic Epidemiology
IS - SUPPL. 1
ER -