We hypothesized that a quantitative alcoholism trait would have greater pow
er than the Collaborative Study on the Genetics of Alcoholism (COGA) dichot
omous alcoholism traits, ALDX1 and ALDX2, to detect putative alcoholism loc
i. To test this, we performed nonparametric sib-pair linkage analysis to sc
reen 285 polymorphic autosomal markers for evidence of linkage to ALDX1, AL
DX2, and a quantitative trait, QUANT, defined from the 11 COGA latent class
variables. We also examined the effects on the analyses of including covar
iates (sex, age, and pack-years of smoking) and of transforming QUANT (log
and square root). ALDX1 and ALDX2 showed the greatest evidence for linkage
to markers on chromosome 1, by both the affected sib-pair and the Haseman-E
lston tests. Regions of interest were also identified on chromosomes 4, 8,
16, and 17. QUANT showed little evidence for linkage to any chromosomal reg
ion, having no more significant results than were expected by chance. Inclu
ding covariates or transforming QUANT had little effect on the analyses. A
quantitative trait based on all 37 latent class variables, with each variab
le appropriately weighted, may have had more power than QUANT to detect gen
omic regions of relevance to alcoholism. (C) 1999 Wiley-Liss, Inc.