67 research outputs found
Estimation of N-acetyltransferase 2 haplotypes
N-Acetyltransferase 2 (NAT2) genotyping may result in a considerable percentage in several ambiguous allele combinations. PHASE 2.1 is a statistical program which is designed to estimate the probability of different allele combinations. We have investigated haplotypes of 2088 subjects genotyped for NAT2 according to standard PCR/RFLP methods. In 856 out of 2088 cases the genotype was clearly defined by PCR/RFLP only. In many of the remaining cases the program clearly defined the most probable allele combination: In the case of *5A/*6C, *5B/*6A the probability for *5B/*6A is 99% whereas the alternative allele combination *5A/*6C can be neglected. Other combinations cannot be allocated with a comparable high probability. For example the allele combination *5A/*5C, *5B/*5D provides for *5A/*5C a probability of 69% whereas the estimation for *5B/*5D allele is only 31%. In the two most often observed constellations in our data [(*12A/*5B, *12C/*5C); (*12A/*6A, *12B/*6B, *4/*6C)] the probability of allele combination was ascertained as follows: *12A/*5B, 98%; *12C/*5C, 1.4% and *12A/*6A, 82%; *4/*6C, 17%; *12B/*6B, 0%. The estimation of the NAT2 haplotype is important because the assignment of the NAT2 alleles *12A, *12B or *13 as a rapid or slow genotype has been discussed controversially. Otherwise the classification of alleles in subjects which are not showing a clearly allocation can result in a rapid or slow acetylation state. This assignment has an important role in survey of bladder cancer cases in the scope of occupational exposure with aromatic amines. --PHASE 2.1,NAT2 genotyping,single nucleotide polymorphism
Estimation of N-Âacetyltransferase 2 haplotypes
NÂAcetyltransferase 2 (NAT2) genotyping may result in a considerable percentage in several ambiguous allele combinations. PHASE 2.1 is a
statistical program which is designed to estimate the probability of different allele combinations. We have investigated haplotypes of 2088 subjects genotyped for NAT2 according to standard PCR/RFLP methods. In 856 out of
2088 cases the genotype was clearly defined by PCR/RFLP only. In many of the remaining cases the program clearly defined the most probable allele combination: In the case of *5A/*6C, *5B/*6A the probability for *5B/*6A is 99%
whereas the alternative allele combination *5A/*6C can be neglected. Other combinations cannot be allocated with a comparable high probability. For example the allele combination *5A/*5C, *5B/*5D provides for *5A/*5C a
probability of 69% whereas the estimation for *5B/*5D allele is only 31%. In the
two most often observed constellations in our data [(*12A/*5B, *12C/*5C); (*12A/*6A, *12B/*6B, *4/*6C)] the probability of allele combination was ascertained as follows: *12A/*5B, 98%; *12C/*5C, 1.4% and *12A/*6A, 82%; *4/*6C, 17%; *12B/*6B, 0%. The estimation of the NAT2 haplotype is important because the assignment of the NAT2 alleles *12A, *12B or *13 as a rapid or
slow genotype has been discussed controversially. Otherwise the classification
of alleles in subjects which are not showing a clearly allocation can result in a rapid or slow acetylation state. This assignment has an important role in survey of bladder cancer cases in the scope of occupational exposure with aromatic amines
Study of correlation between the NAT2 phenotype and genotype status among Greenlandic Inuit
N-acetyltransferase 2 (NAT2) is the main enzyme metabolizing isoniazid and genotype-based treatment has been
studied for years without becoming common practice. To investigate whether genotype-based isoniazid treatment
is feasible in Greenland, we sequenced the coding sequence of NAT2 and determined the NAT2 enzyme-activity
by caffeine test.
No additional genetic variants were identified in the coding sequence of NAT2, so that genotype status in 260 study
participants could be assessed by a well-established 7-SNP panel. Studying the enzyme activity by the ratio of the
two caffeine metabolites AFMU and 1X in 260 participants showed a high rate of slow phenotypes with intermediate
or rapid genotype. These misclassifications were mainly observed in urine samples with pH<3, a deviation
from the standard protocol due to the field work character of the study, where immediate pH adjustment to pH=3.5
was not possible. We excluded these samples. For the remaining 143 individuals with pH>3, we observed a moderate
level of discrepancies (19 of the 116 individuals with intermediate or rapid genotype status having a slow
phenotype). Further investigation showed that drinking coffee and not tea or cola was the most important factor
for high levels of both metabolites.
The concordance between phenotype and genotype status with regard to slow metabolism supported the recommendation
of lower isoniazid doses in individuals with slow genotype status in order to avoid liver injury, a frequent
side effect. The phenotypical variation observed for individuals with intermediate or rapid genotype status
warrants further research before increased dosing of isoniazid can be recommended
A sequence variant at 4p16.3 confers susceptibility to urinary bladder cancer
To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldPreviously, we reported germline DNA variants associated with risk of urinary bladder cancer (UBC) in Dutch and Icelandic subjects. Here we expanded the Icelandic sample set and tested the top 20 markers from the combined analysis in several European case-control sample sets, with a total of 4,739 cases and 45,549 controls. The T allele of rs798766 on 4p16.3 was found to associate with UBC (odds ratio = 1.24, P = 9.9 x 10(-12)). rs798766 is located in an intron of TACC3, 70 kb from FGFR3, which often harbors activating somatic mutations in low-grade, noninvasive UBC. Notably, rs798766[T] shows stronger association with low-grade and low-stage UBC than with more aggressive forms of the disease and is associated with higher risk of recurrence in low-grade stage Ta tumors. The frequency of rs798766[T] is higher in Ta tumors that carry an activating mutation in FGFR3 than in Ta tumors with wild-type FGFR3. Our results show a link between germline variants, somatic mutations of FGFR3 and risk of UBC.info:eu-repo/grantAgreement/EC/FP7/21807
Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of european ancestry
Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single-nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6911 cases and 11 814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P < 1
7 10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15 058 cases and 286 270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P = 2.19
7 10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P = 3.3
7 10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5551 bladder cancer cases and 10 242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region-the first signal is marked by rs6104690, and the second signal is marked by two moderately correlated SNPs (r(2) = 0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared with non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P 64 0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer
Identification and replication of the interplay of four genetic high risk variants for urinary bladder cancer
Little is known whether genetic variants identified in
genome-wide association studies interact to increase bladder
cancer risk. Recently, we identified two- and three-variant
combinations associated with a particular increase of bladder
cancer risk in a urinary bladder cancer case-control series
(IfADo, 1501 cases, 1565 controls). In an independent
case-control series (Nijmegen Bladder Cancer Study, NBCS, 1468
cases, 1720 controls) we confirmed these two- and three-variant
combinations. Pooled analysis of the two studies as discovery
group (IfADo-NBCS) resulted in sufficient statistical power to
test up to four-variant combinations by a logistic regression
approach. The New England and Spanish Bladder Cancer Studies
(2080 cases and 2167 controls) were used as a replication
series. Twelve previously identified risk variants were
considered.The strongest four-variant combination was obtained
in never smokers. The combination of rs1014971[AA] near APOBEC3A
and CBX6, SLC14A1 exon SNP rs1058396[AG,GG], UGT1A intron SNP
rs11892031[AA], and rs8102137[CC,CT] near CCNE resulted in an
unadjusted odds ratio of 2.59 (95% CI = 1.93-3.47; P =
1.87x10-10), while the individual variant odds ratios ranged
only between 1.11-1.30. The combination replicated in the New
England and Spanish bladder Cancer Studies (ORunadjusted=1.60,
95% CI = 1.10-2.33; P = 0.013). The four-variant combination is
relatively frequent, with 25% in never smoking cases and 11% in
never smoking controls (total study group: 19% cases, 14%
controls). In conclusion, we show that four high risk variants
can statistically interact to confer increased bladder cancer
risk particularly in never smokers
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