Bayesian models for the analysis of genetic structure when populations are correlated

Motivation: Population allele frequencies are correlated when populations have a shared history or when they exchange genes. Unfortunately, most models for allele frequency and inference about population structure ignore this correlation. Recent analytical results show that among populations, correlations can be very high, which could affect estimates of population genetic structure. In this study, we propose a mixture beta model to characterize the allele frequency distribution among populations. This formulation incorporates the correlation among populations as well as extending the model to data with different clusters of populations. Results: Using simulated data, we show that in general, the mixture model provides a good approximation of the among-population allele frequency distribution and a good estimate of correlation among populations. Results from fitting the mixture model to a dataset of genotypes at 377 autosomal microsatellite loci from human populations indicate high correlation among populations, which may not be appropriate to neglect. Traditional measures of population structure tend to over-estimate the amount of genetic differentiation when correlation is neglected. Inference is performed in a Bayesian framework.

Determination of the Myogenic Potential of Human Embryonic Stem Cell-Derived Mesenchymal Stem Cells

Human embryonic stem cells (hESCs) have the potential to differentiate to all adult somatic cells. This property makes hESCs a very promising area of research for the treatment of disorders in which specific cell populations need to be restored. Despite this potential, research that focuses on producing mesodermally derived cell populations from hESCs is decidedly limited, notwithstanding the prevalence of disorders involving mesodermal tissues for which treatment options are limited. Skeletal muscle myoblasts are derivatives of mesodermal cells and are characterized by the expression of the MyoD gene. These cells are difficult to obtain from hESCs in a reproducible and efficient manner. Recent developments in the field have showed some success in obtaining myogenic cells from hESCs through a mesenchymal stem cell (MSC)-like intermediate population. MSCs, which are an adult stem cell population typically derived from the bone marrow, are capable of generating multiple cell types including skeletal muscle. The aim of this study was to develop an efficient method that derives myoblasts from an MSC-like intermediate. To accomplish this goal, we first set out to isolate and expand the MSC-like intermediate from hESCs differentiated in vitro. Difficulties in reproducing published cell-differentiation methodologies, which represent a significant and familiar challenge in hESC research, are highlighted in this report.