Identification of NR1I2 genetic variation using resequencing.

OBJECTIVE: The nuclear receptor NR1I2 (also called PXR or SXR) is primarily expressed in mouse and human liver and intestines. Direct activation of NR1I2 occurs in response to a range of xenobiotics, which causes the formation of a heterodimer with the RXR receptor. This heterodimer binds to the nuclear receptor response elements of downstream genes such as ABCB1, CYP2C, and CYP3A. This study determined the extent of NR1I2 variation in three world populations. METHODS: Variation in NR1I2 was identified by pooled resequencing in African, Asian, and European populations. Validation was performed in European and African populations using PCR and Pyrosequencing technology. RNA expression of NR1I2, ABCB1 and CYP3A4 was assessed using real-time PCR. RESULTS: Of 36 single nucleotide polymorphisms (SNPs) identified, 24 were in the untranslated region, 8 were intronic, and 4 exonic. Thirty-six percent were unique to the African population. In comparison with previously published data, we identified 13 novel polymorphisms. The NR1I2 -566A > C polymorphism was significantly associated with ABCB1 and CYP3A4 RNA expression in colon tumor (P = 0.04 in both cases), however, this polymorphism was not associated with NR1I2 expression. CONCLUSION: With NR1I2 playing such a large role in the regulation of genes involved in drug metabolism and transport, genetic variation contributing to altered NR1I2 function may have an important clinical impact.

Polymorphism discovery in 51 chemotherapy pathway genes.

Candidate gene pharmacogenetic studies offer a strategy for the rapid assessment of putative predictive markers. As a first step toward studying the pharmacogenetics of cancer chemotherapy, 51 candidate genes from the pathways of antineoplastic agents were resequenced to identify common genetic polymorphisms that might alter therapeutic response or toxicity. Forty DNA samples were screened from each of three population groups: African-Americans, Asian-Americans and European-Americans. Nearly 378 kb of genomic sequence was obtained from each sample. Nine hundred and four variants were identified, including 139 coding single nucleotide polymorphisms (cSNPs). Three hundred and fifty-six (40%) polymorphisms were common to all three populations and 366 (41%) were population specific. Three hundred and forty-six (38%) variants were novel polymorphisms that were not present in the three public databases that were examined. One hundred and eleven (35%) of the 319 non-synonymous cSNPs that were identified by either resequencing or database mining were predicted by PolyPhen to be either possibly or probably damaging. For the non-synonymous cSNPs identified by resequencing, both the number of cSNPs found and the maximum estimated allele frequency decreased with increasing predicted severity. These results provide experimental validation and estimated allele frequencies for polymorphisms in three common ethnic groups and facilitate applied pharmacogenetic studies of anticancer drugs.

High-density single-nucleotide polymorphism maps of the human genome.

Here we report a large, extensively characterized set of single-nucleotide polymorphisms (SNPs) covering the human genome. We determined the allele frequencies of 55,018 SNPs in African Americans, Asians (Japanese-Chinese), and European Americans as part of The SNP Consortium's Allele Frequency Project. A subset of 8333 SNPs was also characterized in Koreans. Because these SNPs were ascertained in the same way, the data set is particularly useful for modeling. Our results document that much genetic variation is shared among populations. For autosomes, some 44% of these SNPs have a minor allele frequency > or =10% in each population, and the average allele frequency differences between populations with different continental origins are less than 19%. However, the several percentage point allele frequency differences among the closely related Korean, Japanese, and Chinese populations suggest caution in using mixtures of well-established populations for case-control genetic studies of complex traits. We estimate that approximately 7% of these SNPs are private SNPs with minor allele frequencies <1%. A useful set of characterized SNPs with large allele frequency differences between populations (>60%) can be used for admixture studies. High-density maps of high-quality, characterized SNPs produced by this project are freely available.