Pharmacogenetics and Genomics · 2006 · 94 citations · 34 references
Life SciencesGeneticsMolecular GeneticsBiochemical GeneticsGenomicsMedical GeneticsCytochrome P450 EnzymesCytochrome P450-mediated MetabolismGenome-wide Association StudiesGenotype-phenotype Association AnalysisGenotype-phenotype CorrelationAllele FrequencyAllele Frequency EstimationCytochrome P450 Genetic PolymorphismCytochrome P450 GenotypingHaplotype InferenceHaplotype MappingInterindividual VariationMetabolic Polymorphisms
The genotype responsible for more than 60-fold interindividual differences in human hepatic CYP1A2 constitutive expression is not understood. Resequencing the human CYP1A1_CYP1A2 locus (39.6 kb) in five major geographically isolated subgroups recently led to the identification of 85 single nucleotide polymorphisms (SNPs), 57 of which were double-hit SNPs. Here, we attempted to correlate the CYP1A2 genotype with a metabolic phenotype. We chose 16 SNPs (all having a minor allele frequency > or =0.05 in Caucasians) to genotype 32 DNA samples (26 Caucasians, six Ethiopians) in which CYP1A2 metabolism had previously been determined. From 280 subjects (five locations worldwide) that had been CYP1A2-phenotyped, we genotyped the 10 highest, 14 lowest and eight intermediate DNA samples. Although no SNP was significant (P<0.05), possibly due to the small sample size, we found a trend for several of the six SNPs across the CYP1A2 linkage disequilibrium block associated with the trait. Five CYP1A2 haplotypes were inferred, two of which had not previously been reported; haplotype 1A2H10 showed the greatest association with CYP1A2 activity. Regulatory sequences responsible for the large interindividual differences in hepatic CYP1A2 gene basal expression might reside, in part, with some of these CYP1A2 SNPS but, in large part, might be located either cis (in nearby sequences not yet haplotyped) or trans in that they are not linked to the gene. We conclude that no SNP or haplotype in the CYP1A2 gene has yet been identified that can unequivocally be used to predict the metabolic phenotype in any individual patient.
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Tsutomu Shimada, Hiroshi Yamazaki, Mayumi Mimura et al. · Journal of Pharmacology and Experimental Therapeutics · 1994 · 2.8K citations
Medicine, Biochemistry, Pharmacology +15
Genetic analysis of genome-wide variation in human gene expression
Michael P. Morley, Cliona Molony, Teresa M. Weber et al. · Nature · 2004 · 1.2K citations