Sex-exclusive quantitative trait loci influences in alcohol-related phenotypes.
During the past half century, researchers have identified and examined sex differences in alcohol-related phenotypes, focusing more recently on understanding of the mechanisms underlying these differences. In general, the genetic contributions influencing these differences are not consistent with an interpretation of sex linkage and must, therefore, reflect some form of sex limitation in which allelic differences at particular autosomal loci have different consequences in males and females. Significant sex differences in measures of alcohol consumption in mice have been demonstrated in previous work in our laboratory. To investigate these differences further, we explore the limiting case of sex-exclusive effects using data from (BXD) recombinant inbred (RI) strains of mice and from an intercross derived from the same progenitors, C57BL/6J (B) and DBA/2J (D). By the use of two statistical approaches (examination of residual scores as a sex-exclusive phenotypic value for the RI strains and multivariate regression on sex and genotype in the F(2)) we have identified and confirmed female-exclusive markers for alcohol acceptance on chromosomes 9 and 12 and one marker for alcohol preference on chromosome 2. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 88:647-652, 1999.
Fernandez
J R
JR
Center for Developmental and Health Genetics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Vogler
G P
GP
Tarantino
L M
LM
Vignetti
S
S
Plomin
R
R
McClearn
G E
GE
D019973:Alcohol-Related Disorders / Q000235:genetics* / Q000503:physiopathology; D000818:Animals; D002874:Chromosome Mapping; D002875:Chromosomes / Q000235:genetics; D003433:Crosses, Genetic; D005260:Female; D005819:Genetic Markers / Q000235:genetics; D005838:Genotype; D008297:Male; D051379:Mice; D008810:Mice, Inbred C57BL; D008811:Mice, Inbred DBA; D008957:Models, Genetic; D015999:Multivariate Analysis; D010641:Phenotype; D019655:Quantitative Trait, Heritable; D012044:Regression Analysis; D012727:Sex Characteristics
D005819:Genetic Markers