Detection of Multiple HPV Types in Liquid Biopsies of Cervical Neoplasia.

BACKGROUND: More than 95% of cervical cancers and their precancerous lesions are caused by human papillomavirus (HPV). Cell-free (cf) HPV DNA detection in blood samples may serve as a monitoring tool for cervical cancer. METHODS: In our methodological study, an HPV panel for simultaneous detection of 24 types using mass spectrometry-based analysis was developed for liquid biopsy approaches and tested on HPV positive cell lines, plasmid controls, and cervical high-grade squamous intraepithelial lesions (HSIL) in positive smear samples (n = 52). It was validated in cfDNA blood samples (n = 40) of cervical cancer patients. RESULTS: The HPV panel showed proficient results in cell lines and viral plasmids with a limit of detection of 1 IU (international units)/µL for HPV16/18 and 10GE/µL for HPV11/31/33/39/45/51/52/58/59 and a specificity of 100% for the tested HPV types. In cervical smear samples, HPV DNA was detected with a sensitivity of 98.14%. The overall agreement between the new HPV panel and clinical records was 97.2% (κ = 0.84). In cervical cancer cfDNA, 26/40 (65.0%) tested positive for any HPV type, with most infections due to hrHPV (24/26). HPV positive samples were found in all FIGO stages, with the highest positivity ratio in FIGO III and IV. Even the lowest stage, FIGO I, had 12/23 (52.2%) patients with a positive HPV plasma status. CONCLUSIONS: This proof-of-concept paper shows that the described assay produces reliable results for detecting HPV types in a multiplex mass spectrometry-based assay in cervical smear and cfDNA with high specificity and sensitivity in both cohorts. The assay shows potential for liquid biopsy-based applications in monitoring cervical cancer progression.

Low-Frequency Blood Group Antigens in Switzerland.

BACKGROUND: High-frequency blood group antigens (HFA) are present in >90% of the human population, according to some reports even in >99% of individuals. Therefore, patients lacking HFA may become challenging for transfusion support because compatible blood is hardly found, and if the patient carries alloantibodies, the cross-match will be positive with virtual every red cell unit tested. METHODS: In this study, we applied high-throughput blood group SNP genotyping on >37,000 Swiss blood donors, intending to identify homozygous carriers of low-frequency blood group antigens (LFA). RESULTS: 326 such individuals were identified and made available to transfusion specialists for future support of patients in need of rare blood products. CONCLUSION: Thorough comparison of minor allele frequencies using population genetics revealed heterogeneity of allele distributions among Swiss blood donors which may be explained by the topographical and cultural peculiarities of Switzerland. Moreover, geographically localized donor subpopulations are described which contain above-average numbers of individuals carrying rare blood group genotypes.

MNSs genotyping by MALDI-TOF MS shows high concordance with serology, allows gene copy number testing and reveals new St(a) alleles.

Results of genotyping with true high-throughput capability for MNSs antigens are underrepresented, probably because of technical issues, due to the high level of nucleotide sequence homology of the paralogous genes GYPA, GYPB and GYPE. Eight MNSs-specific single nucleotide polymorphisms (SNP) were detected using matrix-assisted laser desorption/ionization, time-of-flight mass spectrometry (MALDI-TOF MS) in 5800 serologically M/N and S/s pre-typed Swiss blood donors and 50 individuals of known or presumptive black African ethnicity. Comparison of serotype with genotype delivered concordance rates of 99·70% and 99·90% and accuracy of genotyping alone of 99·88% and 99·95%, for M/N and S/s, respectively. The area under the curve of peak signals was measured in intron 1 of the two highly homologous genes GYPB and GYPE and allowed for gene copy number variation estimates in all individuals investigated. Elevated GYPB:GYPE ratios accumulated in several carriers of two newly observed GYP*401 variants, termed type G and H, both encoding for the low incidence antigen St(a). In black Africans, reduced GYPB gene contents were proven in pre-typed S-s-U- phenotypes and could be reproduced in unknown specimens. Quantitative gene copy number estimates represented a highly attractive supplement to conventional genotyping, solely based on MNSs SNPs.

High-throughput Kell, Kidd, and Duffy matrix-assisted laser desorption/ionization, time-of-flight mass spectrometry-based blood group genotyping of 4000 donors shows close to full concordance with serotyping and detects new alleles.

BACKGROUND: After the ABO (ABO) and Rh (RHD and RHCE) blood group systems, Kell (KEL), Kidd (SLC14A1), and Duffy (DARC) represent the second most important clinically relevant antigens. STUDY DESIGN AND METHODS: Samples from 4000 Swiss blood donors, with serologic prevalues for K/k, Kp(a/b), Jk(a/b), and Fy(a/b), and 48 additional samples of presumptive black African origin were genotyped using high-throughput matrix-assisted laser desorption/ionization, time-of-flight mass spectrometry, applying one single-multiplex polymerase chain reaction/primer-extension reaction simultaneously detecting 15 single-nucleotide polymorphisms. RESULTS: Genotype/phenotype concordance for K/k, Kp(a/b), Jk(a/b), and all Fy(a/b) specificities were 100, 99.98, 99.93, and 99.20%, respectively. Discrepancies were caused by erroneous serologic profiles (n = 33), mainly attributed to weakly expressed Fy(x) (n = 28). Only three discrepancies had a genetic basis. They could all be explained by newly observed silenced alleles: one KEL*02N.34 and one FY*02N.03 with predicted R700Q and G261R amino acid exchanges, respectively, and one JK*B, with an as-yet-unidentified silencing cause. According to NCBI SNP database entry for rs8176034, another new allele, KEL*02.38, had been expected, and we formally demonstrated its presence. We furthermore identified individuals with rare phenotypes, such as Js(a/b) heterozygotes among Caucasians, rare alleles, the "Swiss" JK*01N.03, and rare genotypes, such as one Fy(x) homozygote. CONCLUSION: Genotyping proved its practicability in the daily routine setting and qualitatively outperformed serology. Technology is ideal for time-insensitive donor genotyping and allows for a broad range of throughput needs. Consequently, from a technologic point of view, serotyping should be replaced by genotyping for donors' blood groups encoded by KEL, SLC14A1, and DARC.

On the replication of genetic associations: timing can be everything!

The failure of researchers to replicate genetic-association findings is most commonly attributed to insufficient statistical power, population stratification, or various forms of between-study heterogeneity or environmental influences.(1) Here, we illustrate another potential cause for nonreplications that has so far not received much attention in the literature. We illustrate that the strength of a genetic effect can vary by age, causing "age-varying associations." If not taken into account during the design and the analysis of a study, age-varying genetic associations can cause nonreplication. By using the 100K SNP scan of the Framingham Heart Study, we identified an age-varying association between a SNP in ROBO1 and obesity and hypothesized an age-gene interaction. This finding was followed up in eight independent samples comprising 13,584 individuals. The association was replicated in five of the eight studies, showing an age-dependent relationship (one-sided combined p = 3.92 x 10(-9), combined p value from pediatric cohorts = 2.21 x 10(-8), combined p value from adult cohorts = 0.00422). Furthermore, this study illustrates that it is difficult for cross-sectional study designs to detect age-varying associations. If the specifics of age- or time-varying genetic effects are not considered in the selection of both the follow-up samples and in the statistical analysis, important genetic associations may be missed.

The association of a SNP upstream of INSIG2 with body mass index is reproduced in several but not all cohorts.

A SNP upstream of the INSIG2 gene, rs7566605, was recently found to be associated with obesity as measured by body mass index (BMI) by Herbert and colleagues. The association between increased BMI and homozygosity for the minor allele was first observed in data from a genome-wide association scan of 86,604 SNPs in 923 related individuals from the Framingham Heart Study offspring cohort. The association was reproduced in four additional cohorts, but was not seen in a fifth cohort. To further assess the general reproducibility of this association, we genotyped rs7566605 in nine large cohorts from eight populations across multiple ethnicities (total n = 16,969). We tested this variant for association with BMI in each sample under a recessive model using family-based, population-based, and case-control designs. We observed a significant (p < 0.05) association in five cohorts but saw no association in three other cohorts. There was variability in the strength of association evidence across examination cycles in longitudinal data from unrelated individuals in the Framingham Heart Study Offspring cohort. A combined analysis revealed significant independent validation of this association in both unrelated (p = 0.046) and family-based (p = 0.004) samples. The estimated risk conferred by this allele is small, and could easily be masked by small sample size, population stratification, or other confounders. These validation studies suggest that the original association is less likely to be spurious, but the failure to observe an association in every data set suggests that the effect of SNP rs7566605 on BMI may be heterogeneous across population samples.

Quantifying the contribution of genetic variants for survival phenotypes.

Particularly in studies based on population representative samples, it is of major interest what impact a genetic variant has on the phenotype of interest, which cannot be answered by mere association estimates alone. One possible measure for quantifying the phenotype's variance explained by the genetic variant is R(2). However, for survival outcomes, no clear definition of R(2) is available in the presence of censored observations. We selected three criteria proposed for this purpose in the literature and compared their performance for single nucleotide polymorphism (SNP) data through simulation studies and for mortality data with candidate SNPs in the general population-based KORA cohort. The evaluated criteria were based on: (1) the difference of deviance residuals, (2) the variation of individual survival curves, and (3) the variation of Schoenfeld residuals. Our simulation studies included various censoring and genetic scenarios. The simulation studies revealed that the deviance residuals' criterion had a high dependence on the censoring percentage, was generally not limited to the range [0; 1] and therefore lacked interpretation as a percentage of explained variation. The second criterion (variation of survival curves) hardly reached values above 60%. Our requirements were best fulfilled by the criterion based on Schoenfeld residuals. Our mortality data analysis also supported the findings in simulation studies. With the criterion based on Schoenfeld residuals, we recommend a powerful and flexible tool for genetic epidemiological studies to refine genetic association studies by judging the contribution of genetic variants to survival phenotype.

Polymorphic loci of E2F2, CCND1 and CCND3 are associated with HER2 status of breast tumors.

Overexpression of the human epidermal growth factor receptor 2 (HER2) in breast tumors is associated with bad prognosis. Therefore, it is highly relevant to further improve understanding of the regulatory mechanisms of HER2 expression. In addition to gene amplification, transcriptional regulation plays a crucial role in HER2 overexpression. In this study, we analyzed 3 polymorphisms E2F2_-5368_A>G, CCND1_870_A>G and CCND3_-677_C>T located in genes involved in cell cycle regulation in the GENICA population-based and age-matched breast cancer case-control study from Germany. We genotyped 1,021 cases and 1,015 controls by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Statistical analyses were performed by conditional logistic regression. We observed no differences in genotype frequencies between breast cancer cases and controls. Subgroup analysis showed associations between carriers of the E2F2_-5368_G allele (OR: 0.60, 95% CI: 0.42-0.85), carriers of the CCND1_870_G allele (OR: 0.66, 95% CI: 0.45-0.96) and carriers of the CCND3_-677_T allele (OR: 1.72, 95% CI: 1.20-2.49) and HER2 expression in breast tumors. This finding points to an association of an increased expression of these cell cycle regulators with lower expression of HER2. An explanation for this observation might be that low expression of E2F2, CCND1 and CCND3 decrease levels of factors down-regulating HER2. We conclude that the analyzed polymorphisms located in E2F2, CCND1 and CCND3 are potential markers for HER2 status of breast tumors.

Genetic variation in Fc gamma receptor IIa and risk of coronary heart disease: negative results from two large independent populations.

BACKGROUND: The role of the Fc gamma receptor IIa (Fc gamma RIIa), a receptor for C-reactive protein (CRP), the classical acute phase protein, in atherosclerosis is not yet clear. We sought to investigate the association of Fc gamma RIIa genotype with risk of coronary heart disease (CHD) in two large population-based samples. METHODS: Fc gamma RIIa-R/H131 polymorphisms were determined in a population of 527 patients with a history of myocardial infarction and 527 age and gender matched controls drawn from a population-based MONICA- Augsburg survey. In the LURIC population, 2227 patients with angiographically proven CHD, defined as having at least one stenosis >or= 50%, were compared with 1032 individuals with stenosis <50%. RESULTS: In both populations genotype frequencies of the Fc gamma RIIa gene did not show a significant departure from the Hardy-Weinberg equilibrium. Fc gamma RIIa R(-131) --> H genotype was not independently associated with lower risk of CHD after multivariable adjustments, neither in the MONICA population (odds ratio (OR) 1.08; 95% confidence interval (CI) 0.81 to 1.44), nor in LURIC (OR 0.96; 95% CI 0.81 to 1.14). CONCLUSION: Our results do not confirm an independent relationship between Fc gamma RIIa genotypes and risk of CHD in these populations.

Estimating the single nucleotide polymorphism genotype misclassification from routine double measurements in a large epidemiologic sample.

Previously, estimation of genotype misclassification of single nucleotide polymorphisms (SNPs) as encountered in epidemiologic practice and involving thousands of subjects was lacking. The authors collected representative data on approximately 14,000 subjects from 8 studies and 646,558 genotypes assessed in 2005 by means of matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Overall discordance among 57,805 double genotypes from routine quality control was 0.36%. Fitting different misclassification models by maximum likelihood assuming identical misclassification for all SNPs, the estimated misclassification probabilities ranged from 0.0000 to 0.0035. When applying the misclassification simulation and extrapolation (MC-SIMEX) method for the first time to genetic data to account for the misclassification in a reanalysis of adiponectin-encoding (APM1) gene SNP associations with plasma adiponectin in 1,770 subjects, the authors found no impact of this small error on association estimates but increased estimates for a more substantial error. This study is the first to provide large-scale epidemiologic data on SNP genotype misclassification. The estimated misclassification in this example was small and negligible for association estimates, which is reassuring and essential for detecting SNP associations. In situations with more substantial error, the presented approach using duplicate genotyping and the MC-SIMEX method is practical and helpful for quantifying the genotyping error and its impact.

A novel polymorphism in the promoter region of ERBB4 is associated with breast and colorectal cancer risk.

PURPOSE: The receptor tyrosine kinase ERBB4/HER4 plays a role in cell division, migration, differentiation, as well as apoptosis, and is frequently overexpressed in breast and colorectal tumors. To understand the role of genetic variations in the regulation of ERBB4 expression, we identified new polymorphisms and investigated their functional implication and risk association with breast and colorectal cancer. EXPERIMENTAL DESIGN: We screened colorectal tumors from 92 patients for genetic variants at the ERBB4 ATG -1000 bp 5'-regulatory region by denaturing high-performance liquid chromatography and sequencing. Variants were subjected to DNA-protein interaction analyses (electrophoretic mobility shift assay), reporter gene assays in breast cancer cell lines MDA134 and MDA157, and immunohistochemical analyses of breast tumors. We established genotype frequencies within a breast cancer case-control collection (1,021 cases, 1,015 population-based controls) and a colorectal cancer case-control collection (459 cases, 569 blood donors) using matrix-assisted laser desorption ionization/time of flight mass spectrometry. Adjusted odds ratios (OR) and 95% confidence intervals (CI) were assessed by multivariate logistic regression. RESULTS: We identified five new germ line variants -815 A>T, -782 G>T, -638 insTC, -267 C>G, and -219 del10bp. Two variants showed in vitro functional effects. The -782T allele showed lower protein binding affinity and lower promoter activity compared with the -782G allele, however, the -815T allele showed higher protein binding affinity and higher promoter activity. The -782T variant was identified as a risk allele for breast and colorectal cancer (OR, 1.59; 95% CI, 1.06-2.34 and OR, 2.21; 95% CI, 1.22-3.99, respectively). CONCLUSION: The ERBB4 -782 G>T polymorphism, by virtue of its in vitro functional implication and incidence, is a risk factor for breast and colorectal cancer.

The ATGL gene is associated with free fatty acids, triglycerides, and type 2 diabetes.

Adipose triglyceride lipase (ATGL) was recently described to predominantly perform the initial step in triglyceride hydrolysis and therefore seems to play a pivotal role in the lipolytic catabolism of stored fat in adipose tissue. In the first study investigating genetic variations within the ATGL gene in humans, 12 polymorphisms identified via sequencing and database search were studied in 2,434 individuals of European ancestry from Utah. These polymorphisms and their haplotypes were analyzed in subjects not taking diabetes medication for association with plasma free fatty acids (FFAs) as primary analysis, as well as triglycerides and glucose as a secondary analysis (n = 1,701, 2,193, or 2,190, respectively). Furthermore, type 2 diabetes (n = 342 of 2,434) was analyzed as an outcome. FFA concentrations were significantly associated with several single nucleotide polymorphisms (SNPs) of ATGL (P values from 0.015 to 0.00003), consistent with additive inheritance. The pattern was similar when considering triglyceride concentrations. Furthermore, two SNPs showed associations with glucose levels (P < 0.00001) and risk of type 2 diabetes (P < 0.05). Haplotype analysis supported and extended the shown SNP association analyses. These results complement previous findings of functional studies in mammals and elucidate a potential role of ATGL in pathways involved in components of the metabolic syndrome.

IL6 gene promoter polymorphisms and type 2 diabetes: joint analysis of individual participants' data from 21 studies.

Several lines of evidence indicate a causal role of the cytokine interleukin (IL)-6 in the development of type 2 diabetes in humans. Two common polymorphisms in the promoter of the IL-6 encoding gene IL6, -174G>C (rs1800795) and -573G>C (rs1800796), have been investigated for association with type 2 diabetes in numerous studies but with results that have been largely equivocal. To clarify the relationship between the two IL6 variants and type 2 diabetes, we analyzed individual data on >20,000 participants from 21 published and unpublished studies. Collected data represent eight different countries, making this the largest association analysis for type 2 diabetes reported to date. The GC and CC genotypes of IL6 -174G>C were associated with a decreased risk of type 2 diabetes (odds ratio 0.91, P = 0.037), corresponding to a risk modification of nearly 9%. No evidence for association was found between IL6 -573G>C and type 2 diabetes. The observed association of the IL6 -174 C-allele with a reduced risk of type 2 diabetes provides further evidence for the hypothesis that immune mediators are causally related to type 2 diabetes; however, because the association is borderline significant, additional data are still needed to confirm this finding.

Prevalence, spectrum, and functional characterization of melanocortin-4 receptor gene mutations in a representative population-based sample and obese adults from Germany.

CONTEXT: Autosomal dominant inheritance of mutations in the melanocortin-4 receptor gene (MC4R) is currently regarded as the most relevant genetic cause for extreme obesity and affects 2-4% of extremely obese individuals. OBJECTIVE: Our objective was to assess the relevance of MC4R mutations in a German population-based sample. DESIGN AND SETTING: We conducted a mutation screen of the MC4R gene by capillary electrophoresis-based single-strand conformation polymorphism analysis and denaturing HPLC. PARTICIPANTS: Subjects included 4068 individuals of a German population-based study group [Kooperative Gesundheitsforschung im Raum Augsburg, Survey 4 (KORA-S4); i.e. Cooperative Health Research in the Region of Augsburg] and 1003 German obese adults (body mass index >or= 30 kg/m(2)). MAIN OUTCOME MEASURES: Samples with aberrant capillary electrophoresis-based single-strand conformation polymorphism analysis/denaturing HPLC patterns were resequenced. Functional studies including agonistic receptor stimulation (Nle-D-Phe-alpha-, alpha-, and beta-MSH) and cell surface expression assays were performed. RESULTS: Sixteen (six novel) coding nonsynonymous mutations were detected in 27 heterozygous individuals of KORA-S4. Four of the mutation alleles led to impaired receptor function in vitro; however, none of these six heterozygous mutation carriers was obese (body mass index >or= 30 kg/m(2)). In the obese adults, six coding nonsynonymous and a nonsense mutation were detected in 13 individuals. Only the nonsense mutation allele entailed impaired receptor function. CONCLUSIONS: Our study depicts prevalence, spectrum, and functional characterization of MC4R mutations in the German population-based sample KORA-S4. In this epidemiological study group, individuals heterozygous for nonsynonymous MC4R mutation alleles entailing impaired function were not obese. Furthermore, nonsynonymous MC4R mutations causing impaired receptor function were rare in German obese adults (two in 1003 = 0.2%).

MALDI-TOF MS and TaqMan assisted SNP genotyping of DNA isolated from formalin-fixed and paraffin-embedded tissues (FFPET).

Formalin-fixed paraffin-embedded tissues (FFPET) from archived clinical samples provide an invaluable source for large-scale molecular genetic studies. Pharmacogenetic investigations that require long-term clinical follow-up data of patients may particularly benefit from FFPET analysis. Matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and TaqMan-based (Thermus aquaticus polymerase) methodologies have become standard genotyping procedures. However, no data are available on the applicability of MALDI-TOF MS to the genotyping of low quality DNA, as it is usually obtained from FFPET, and data from TaqMan genotyping are limited. We isolated constitutional DNA from 274 FFPET samples (229 patients with breast cancer and 45 patients with benign breast diseases) and genotyped 15 polymorphic loci in 10 genes. Nine SNPs were genotyped by MALDI-TOF MS, and six were genotyped by the TaqMan methodology. We established rates for successful allele assignment for all FFPET, for FFPET prepared prior to 1990, and for FFPET prepared post-1990. Both methodologies showed high success rates ranging between 70.9 and 99.6% (mean: 91.8%) for MALDI-TOF MS and between 82.3 and 97.7% (mean: 91.0%) for TaqMan genotyping. No significant differences in genotyping performances for FFPET prepared prior to 1990 or post-1990 were observed. With the exception of one, all other genotype frequencies were in Hardy-Weinberg equilibrium. Furthermore, genotype frequencies matched those observed in a German breast cancer population and other Caucasian populations. Our study shows for the first time that MALDI-TOF MS and TaqMan genotyping procedures provide reliable data, and are therefore applicable in studies that require large scale FFPET genotyping.

Mutation analysis of the MCHR1 gene in human obesity.

OBJECTIVE: The importance of the melanin-concentrating hormone (MCH) system for regulation of energy homeostasis and body weight has been demonstrated in rodents. We analysed the human MCH receptor 1 gene (MCHR1) with respect to human obesity. DESIGN: This consisted of genomic screening of 13.4 kb encompassing the MCHR1 in extremely obese German children and adolescents and association analyses for two coding single nucleotide polymorphisms (SNPs). To confirm initial positive association results, additional association studies and transmission disequilibrium tests in further German, Danish, French and American samples were conducted. Selected SNPs were investigated using functional in vitro studies and reporter gene assays. METHODS: Single-stranded conformation polymorphism analysis, re-sequencing, PCR-restriction fragment length polymorphism analyses, tetra-primer amplification refractory mutation systems, matrix-assisted laser desorption/ionization time of flight mass spectrometry and reporter gene assays were carried out as well as measuring inositol phosphate formation, inhibition of cAMP formation and activation of p42/44 MAP kinase. RESULTS: We identified 11 infrequent variations and two SNPs in the MCHR1 coding sequence and 18 SNPs (eight novel) in the flanking sequence. Association and transmission disequilibrium with obesity were detected for several SNPs in independent study groups of German obese children and adolescents and controls. In two German samples, encompassing 4056 and 295 individuals, trends towards association with obesity were detected. Findings in a second epidemiological German sample and in Danish, French and American samples were negative. Functional in vitro studies as well as reporter gene assays revealed no significant results. CONCLUSION: Our initial association of MCHR1 alleles/haplotype detected might be related to juvenile-onset obesity, conditional on a particular genetic and/or environmental background. Alternatively, we could not exclude the possibility that the initially detected association represented a false positive finding.

ERCC2 genotypes and a corresponding haplotype are linked with breast cancer risk in a German population.

The polygenic concept of breast cancer susceptibility calls for the identification of genetic variants that contribute to breast cancer risk. Reduced DNA repair proficiencies in women with breast cancer pointed to a possible role of DNA repair enzymes in the risk to develop the disease. The nucleotide excision repair enzyme encoded by the excision repair cross-complementing group 2 gene ERCC2 (formerly XPD) known to cause skin cancer by germ line mutations has multiple regulatory cellular functions, including nucleotide excision repair, basal transcription, cell cycle control, and apoptosis. ERCC2 polymorphisms ERCC2_6540_G>A (Asp(312)Asn) and ERCC2_18880_A>C (Lys(751)Gln) within the coding region of this evolutionarily highly conserved gene have been of functional relevance and therefore are potential candidates to confer breast cancer susceptibility. Using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, we analyzed genotype frequencies in constitutional DNA of study participants of a German case-control study that included 688 cases of incident breast cancer and 724 population-based, age-matched controls. We identified ERCC2_6540_GG (Asp(312)Asp) as an at-risk genotype [odds ratio (OR), 2.06; 95% confidence interval (95% CI), 1.39-3.07]. The ERCC2_6540_GG-associated breast cancer risk was even higher in women who were also carriers of the ERCC2_18880_CC (Gln(751)Gln) genotype (OR, 3.69; 95% CI, 1.76-7.74). We identified ERCC2_6540_G/ERCC2_18880_C (Asp(312)/Gln(751)) as the most potent risk-conferring haplotype (OR, 3.49; 95% CI, 2.30-5.28). To our knowledge, this is the first study assigning breast cancer risk to both the ERCC2 genotype encoding Asp(312)Asp and the haplotype encoding Asp(312)/Gln(751).

Matrix-assisted laser desorption/ionisation, time-of-flight mass spectrometry-based blood group genotyping--the alternative approach.

Although matrix-assisted laser desorption/ionisation, time-of-flight mass spectrometry (MALDI-TOF MS) has previously been reported for high throughput blood group genotyping, those reports are limited to only a few blood group systems. This review describes the development of a large cooperative Swiss-German project, aiming to employ MALDI-TOF MS for the molecular detection of the blood groups Rh, Kell, Kidd, Duffy, MNSs, a comprehensive collection of low incidence antigens, as well as the platelet and granulocyte antigens HPA and HNA, representing a total of 101 blood group antigens, encoded by 170 alleles, respectively. Recent reports describe MALDI-TOF MS as a technology with short time-to-resolution, ability for high throughput, and cost-efficiency when used in genetic analysis, including forensics, pharmacogenetics, oncology and hematology. Furthermore, Kell and RhD genotyping have been performed on fetal DNA from maternal plasma with excellent results. In summary, this article introduces a new technological approach for high throughput blood group genotyping by means of MALDI-TOF MS. Although all data presented are preliminary, the observed success rates, data quality and concordance with known blood group types are highly impressive, underlining the accuracy and reliability of this cost-efficient high throughput method.

N-acetyltransferase 2, exposure to aromatic and heterocyclic amines, and receptor-defined breast cancer.

The role of N-acetyltransferase 2 (NAT2) polymorphism in breast cancer is still unclear. We explored the associations between potential sources of exposure to aromatic and heterocyclic amines (AHA), acetylation status and receptor-defined breast cancer in 1020 incident cases and 1047 population controls of the German GENICA study. Acetylation status was assessed as slow or fast. Therefore, NAT2 haplotypes were estimated using genotype information from six NAT2 polymorphisms. Most probable haplotypes served as alleles for the deduction of NAT2 acetylation status. The risks of developing estrogen receptor alpha (ER) and progesterone receptor (PR)-positive or negative tumors were estimated for tobacco smoking, consumption of red meat, grilled food, coffee, and tea, as well as expert-rated occupational exposure to AHA with logistic regression conditional on age and adjusted for potential confounders. Joint effects of these factors and NAT2 acetylation status were investigated. Frequent consumption of grilled food and coffee showed higher risks in slow acetylators for receptor-negative tumors [grilled food: ER-: odds ratio (OR) 2.57, 95% confidence interval (CI) 1.07-6.14 for regular vs. rare; coffee: ER-: OR 2.55, 95% CI 1.22-5.33 for >or=4 vs. 0 cups/day]. We observed slightly higher risks for never smokers that are fast acetylators for receptor-positive tumors compared with slow acetylators (ER-: OR 1.32, 95% CI 1.00-1.73). Our results support differing risk patterns for receptor-defined breast cancer. However, the modifying role of NAT2 for receptor-defined breast cancer is difficult to interpret in the light of complex mixtures of exposure to AHA.