Saliva sampling in global clinical studies: the impact of low sampling volume on performance of DNA in downstream genotyping experiments.

Background: The collection of viable DNA samples is an essential element of any genetics research programme. Biological samples for DNA purification are now routinely collected in many studies with a variety of sampling methods available. Initial observation in this study suggested a reduced genotyping success rate of some saliva derived DNA samples when compared to blood derived DNA samples prompting further investigation.

Improving clinical trial sampling for future research - an international approach: outcomes and next steps from the DIA future use sampling workshop 2011.

Clinical trial samples collected for pharmacogenomic and future research are vital resources for the development of safe and effective drugs, yet collecting adequate, representative sample sets in global trials is challenging. The Drug Information Association (DIA) sponsored a workshop on future use sampling in September 2011, bringing together experts from regulatory agencies, academia and industry to discuss challenges to future use sample collection and identify actions to improve collection. Several common themes and associated action items emerged, including the need for international guidance on the collection of samples for future research; additional discussion related to coding, scope of research, and return of research results; and additional education about pharmacogenomic/future research and the importance of long-term storage of specimens.

Enabling pharmacogenomic clinical trials through sampling.

Discussion and output from the US FDA and the pharmaceutical industry from the Drug Information Association/FDA 5th Workshop in a series on pharmacogenomics entitled: 'Generating and Weighing Evidence in Drug Development and Regulatory Decision Making'. A major topic area at the 5th FDA/Industry Workshop on Pharmacogenomics, February 2-4, 2010 in Bethesda (MD, USA), was enabling pharmacogenomic clinical trials through collection of future use samples. The importance of the collection of samples with permission for future analyses was affirmed by both industry and the FDA.

Linkage analysis using single nucleotide polymorphisms.

We performed multipoint linkage analysis using 83 markers from the SNP Consortium (TSC) SNP linkage map in 3 regions covering 190 cM previously scanned with microsatellite markers and found to be linked to type 2 diabetes. Since the average linkage disequilibrium present in the TSC SNP marker clusters is relatively low, we assumed the intracluster genetic distances were a reasonable small nonzero distance (0.03 cM) and performed linkage analysis using GENEHUNTER PLUS and ASM linkage analysis software.