Unbalanced Sample Size Introduces Spurious Correlations to Genome-Wide Heterozygosity Analyses

Multiplex and Genome-Wide Analyses

On the estimation of genome-wide heterozygosity using molecular markers.

Coltman and Slate (2003) recently performed a meta-analysis on studies that investigated the association between genetic variation at microsatellite loci and phenotypic trait variation. One factor not explicitly addressed in their meta-analysis is the actual estimation of genome-wide heterozygosity via molecular markers. Many authors still associate marker-estimated heterozygosity with genome-w...

Sample size estimation and statistical power analyses

The concept of sample size and statistical power estimation is now something that Optometrists that want to perform research, whether it be in practice or in an academic institution, cannot simply hide away from. Ethics committees, journal editors and grant awarding bodies are now increasingly requesting that all research be backed up with sample size and statistical power estimation in order t...

Gigwa—Genotype investigator for genome-wide analyses

BACKGROUND Exploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. However, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This is particularly true with regards to studies of genomic variati...

Genome-Wide Methylation Analyses in Glioblastoma Multiforme

Few studies had investigated genome-wide methylation in glioblastoma multiforme (GBM). Our goals were to study differential methylation across the genome in gene promoters using an array-based method, as well as repetitive elements using surrogate global methylation markers. The discovery sample set for this study consisted of 54 GBM from Columbia University and Case Western Reserve University,...