Since the manifestation of a complex disease is likely to be influence
d through multiple genetic and/or environmental pathways, it may be ad
vantageous to adjust for these multiple factors in a genetic analysis
of a complex quantitative trait. Sib-pair linkage analysis was perform
ed on the simulated complex quantitative trait Q1 after adjustment for
age, sex, and the environmental factor (i.e., minimally adjusted) and
all combinations of the four intermediate phenotypes Q2, Q3, Q4, and
Q5 (n = 15) for all 200 replications of the nuclear families data set.
From the minimally adjusted Q1, the power to detect suggestive linkag
e to any of the three loci affecting Q1 was 0.585 with a false positiv
e rate of 0.0025. Adjusting Q1 for Q3 increased the power to detect su
ggestive linkage to 0.860 with a similar false positive rate. Addition
al adjustments for Q2, Q4, and Q5 yielded no substantial improvements
in power nor changes in the false positive rate. The power to detect s
ignificant linkage was also substantially improved after adjustment of
Q1 for Q3 with no change in the false positive rate. The adjustment o
f a complex trait for other factors in the causal pathway reduces the
phenotype variability and enhances the ability to detect linkage. (C)
1997 Wiley-Liss, Inc.