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The distribution of debrisoquine metabolic phenotypes and implications for the suggested association with lung cancer risk
Author(s) -
Caporaso Neil,
Pickle Linda Williams,
Bale Sherri,
Ayesh Riad,
Hetzel Martin,
Idle Jeffrey,
Rao D. C.
Publication year - 1989
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370060406
Subject(s) - debrisoquine , phenotype , metabolite , biology , lung cancer , pharmacogenetics , medicine , genetics , oncology , physiology , endocrinology , genotype , gene
Abstract Debrisoquine hydroxylation exhibits wide inter‐individual variation in Caucasian populations. After similar doses of the drug, extensive metabolizers excrete up to several hundred times more of the urinary metabolite 4‐hydroxy‐debrisoquine than do poor metabolizers. The phenotypes have traditionally been defined by the metabolic ratio (MR), or the molar ratio of debrisoquine to its chief metabolite recovered in an aliquot of an eight hour urine sample, after a test dose of the drug. Deficient metabolism is inherited as an autosomal recessive condition. We have reanalyzed previously published data from a study of lung cancer patients and controls using a computerized optimization method to more accurately estimate the parameters describing the three phenotypic distributions. Using these new distributions to categorize controls, we show that Hardy‐Weinberg conditions are now fulfilled. When the newly defined phenotype parameters are employed to assign the phenotypes of cases and controls, a highly significant difference in phenotype distribution between cases and controls is still observed. This result supports the hypothesis that the debrisoquine metabolic phenotype may be associated with lung cancer susceptibility.