When conducting a pool-based GWAS, how well SNP allele frequency is estimated from a DNA pool will influence a study's power to detect associations.
By conducting an analysis such as this a user can decide what power is forfeited by conducting a pool-based GWAS, and decide whether the approach makes practical sense in their situation.
Based on our experience with the study design of the Melanocortin-1 receptor (MC1R) gene, SKin cancer and Phenotypic characteristics (M-SKIP) project, we describe the most important steps in planning and conducting a pooled-analysis of genetic epidemiological studies.
We conducted a pool boiling experimental study on identical nano/microstructures with different wettabilities to examine the effect of wettability and surface structure on BHT and CHF.
First, they conducted a pool-boiling test of a nanofluid using a fresh heater wire.
In choosing to conduct a pool-based GWAS, one accepts a loss in power relative to a conventional GWAS.
A researcher has a collection of samples including 300 cases and 1000 controls and wants to conduct a pool-based GWAS.
One way to address some, but not all, of these issues is by combining information from various epidemiological studies and conducting a meta and/or pooled analyses to obtain overall summary estimates for an association between an environmental exposure and pregnancy outcome, and to evaluate any heterogeneity in the results.
Despite the pool conducting a possible 18 tracks, only 17 are included.
We conducted a retrospective, pooled data analysis of 19 different population based screening studies conducted by the Cancer Hospital, Chinese Academy of Medical Sciences CHCAMSS) in Beijing, China.
Total RNA was extracted separately from each individual (8 adults per population of PS1, PS2, PR1 and PR2) using TRIzol (Invitrogen) and pooled before conducting a quality check (Thermo Scientific Nanodrop 2000 and Agilent Bioanalyzer, Ohio State University, Columbus, OH, USA).
