1. Fourteen healthy Swedish Caucasian subjects were given 20 mg of omeprazole orally each morning for 8 days. The subjects included five poor metabolisers (PM) of S‐mephenytoin, four heterozygous extensive metabolisers (hetEM) and five subjects with a very rapid metabolism (rapidEM). 2. After the first dose, the relative mean areas under the plasma concentration vs time curve (AUC) of omeprazole in rapidEM, hetEM and PM were 1:3.7:20 (all different, P < 0.001). A similar relation was seen in the AUC(0,10 h) of the sulphone metabolite (1:3:12). Concentrations of hydroxyomeprazole were higher in EM than in PM confirming that the hydroxy, but not the sulphone metabolite, is formed by the S‐mephenytoin hydroxylase (CYP2C19). After 8 days of treatment, the differences between groups were similar. 3. After both the first and the eighth doses, the omeprazole/hydroxyomeprazole plasma concentration ratio, determined 3 h after drug intake, correlated with the mephenytoin S/R ratio (rs = 0.94; P < 0.001; n = 14) suggesting that omeprazole might be used to phenotype for CYP2C19. 4. After the first dose of omeprazole, there was no difference in the AUC(0,10 h) of plasma gastrin between the three groups. From the first to the eighth dose, the AUC(0,10) of gastrin increased significantly in both hetEM and PM, while there was no change in the rapidEM. After the eighth dose, the AUC(0,10) of gastrin correlated significantly with the AUC of omeprazole in plasma (rs = 0.79; P < 0.01; n = 13).

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The administration of drugs together suggests an inhibition of debrisoquin metabolism caused by the concurrent drugs given. By separating debrisoquin from the other cocktail drugs, this method is likely to be used as a tool to phenotype the enzymes CYP1A2, CYP2C9, CYP2C19, CYP2D6, and CYP3A4 with only 2 urinary collections and 2 blood-sampling occasions.

Self-collection of saliva has the potential to provide molecular epidemiologic studies with DNA in a user-friendly way. We evaluated the new Oragene saliva collection method and requested saliva samples by mail from 611 men (ages 53-87 years). We obtained a response rate of, on average, 80% [varying from 89% (ages 67-71 years) to 71% (ages 77-87 years)]. DNA was extracted from 90 randomly selected samples, and its usefulness was evaluated with respect to quality, quantity, and whole-genome amplification (WGA). Visual inspection of DNA on agarose gels showed high molecular weight DNA (>23 kb) and no degradation. Total DNA yield measured with PicoGreen ranged from 1.2 to 169.7 Mg, with a mean of 40.3 Mg (SD, 36.5 Mg) and a median of 29.4 Mg. Human DNA yield was estimated by real-time PCR of the human prothrombin gene to account for 68% (SD, 20%) of total DNA. We did WGA on 81 saliva DNA samples by using the GenomiPhi DNA kit and genotyped both saliva DNA and WGA DNA for 10 single-nucleotide polymorphisms randomly selected from the human genome. Overall genotyping success rate was 96% for saliva DNA and 95% for WGA DNA; 79% of saliva DNA samples and 79% of WGA DNA samples were successfully genotyped for all 10 single-nucleotide polymorphisms. For the 10 specific assays, the success rates ranged between 88% and 100%. Almost complete genotypic concordance (99.7%) was observed between saliva DNA and WGA DNA. In conclusion, Oragene saliva DNA in this study collected from men is of high quality and can be used as an alternative to blood DNA in molecular epidemiologic studies. (Cancer Epidemiol Biomarkers Prev 2006;15(9):1742 -5)

Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting.LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every five years. Index persons aged 18-45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every five years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants' age and life events. The target of LifeGene is to enrol 500,000Swedes and follow them longitudinally for at least 20 years.LifeGene -population-based cohort 3

The first version of the Standard PREanalytical Code (SPREC) was developed in 2009 by the International Society for Biological and Environmental Repositories (ISBER) Biospecimen Science Working Group to facilitate documentation and communication of the most important preanalytical quality parameters of different types of biospecimens used for research. This same Working Group has now updated the SPREC to version 2.0, presented here, so that it contains more options to allow for recent technological developments. Existing elements have been fine tuned. An interface to the Biospecimen Reporting for Improved Study Quality (BRISQ) has been defined, and informatics solutions for SPREC implementation have been developed. A glossary with SPREC-related definitions has also been added.

Our results strongly suggest that 6-hydroxylation, the main metabolic pathway of melatonin, is mediated mainly, but not exclusively, by CYP1A2, the high-affinity enzyme involved in melatonin metabolism, confirming the observation that a single oral dose of fluvoxamine increases nocturnal serum melatonin levels in healthy subjects. Furthermore, the results indicate that there is a potential for interaction with drugs metabolised by CYP1A2 both at physiological levels and after oral administration of melatonin, while CYP2C19 and CYP2C9 are assumed to be less important.

A requirement for performing robust genetic and statistical analyses on twins is correctly assigned zygosities. In order to increase the power to detect small risk factors of disease, zygosity testing should also be amenable for high throughput screening. In this study we validate and implement the use of a panel of 50 single nucleotide polymorphisms (SNPs) for reliable high throughput zygosity testing and compare it to a panel of 16 short tandem repeats (STRs). We genotyped both genomic (gDNA) and whole genome amplified DNA (WGA DNA), ending up with 47 SNP and 11 STR markers fulfilling our quality criteria. Out of 99 studied twin pairs, 2 were assigned a different zygosity using SNP and STR data as compared to self reported zygosity in a questionnaire. We also performed a sensitivity analysis based on simulated data where we evaluated the effects of genotyping error, shifts in allele frequencies and missing data on the qualitative zygosity assignments. The frequency of false positives was less than 0.01 when assuming a 1% genotyping error, a decrease of 10% of the observed minor allele frequency compared to the actual values and up to 10 missing markers. The SNP markers were also successfully genotyped on both gDNA and WGA DNA from whole blood, saliva and filter paper. In conclusion, we validate a robust panel of 47 highly multiplexed SNPs that provide reliable and high quality data on a range of different DNA templates.