A stepwise likelihood ratio test procedure for rare variant selection in case-control studies.

There is much recent interest in finding rare genetic variants associated with various diseases. Owing to the scarcity of rare mutations, single-variant analyses often lack power. To enable pooling of information across variants, we use a random effect formulation within a retrospective modeling framework that respects the retrospective data collecting mechanism of case-control studies. More concretely, we model the control allele frequencies of the variants as random effects, and the systematic differences between the case and control frequencies as fixed effects, resulting in a mixed model. The use of Poisson approximation and gamma-distributed random effects results in a generalized negative binomial distribution for the joint distribution of the control and case frequencies. Variants are selected by conducting stepwise likelihood ratio tests. The superiority of the proposed method over two existing variant selection methods is demonstrated in a simulation study. The effects of non-gamma random effects and correlated variants are also found to be not too detrimental in the simulation study. When the proposed procedure is applied to identify rare variants associated with obesity, it identifies one additional variant not picked up by existing methods.

Intra- and inter-individual genetic differences in gene expression.

Genetic variation is known to influence the amount of mRNA produced by a gene. Because molecular machines control mRNA levels of multiple genes, we expect genetic variation in components of these machines would influence multiple genes in a similar fashion. We show that this assumption is correct by using correlation of mRNA levels measured from multiple tissues in mouse strain panels to detect shared genetic influences. These correlating groups of genes (CGGs) have collective properties that on average account for 52-79% of the variability of their constituent genes and can contain genes that encode functionally related proteins. We show that the genetic influences are essentially tissue-specific and, consequently, the same genetic variations in one animal may upregulate a CGG in one tissue but downregulate the CGG in a second tissue. We further show similarly paradoxical behaviour of CGGs within the same tissues of different individuals. Thus, this class of genetic variation can result in complex inter- and intraindividual differences. This will create substantial challenges in humans, where multiple tissues are not readily available.

Meta-analysis and gene set enrichment relative to er status reveal elevated activity of MYC and E2F in the "basal" breast cancer subgroup.

BACKGROUND: Breast cancers lacking the estrogen receptor (ER) can be distinguished from other breast cancers on the basis of poor prognosis, high grade, distinctive histopathology and unique molecular signatures. These features further distinguish estrogen receptor negative (ER-) tumor subtypes, but targeted therapy is currently limited to tumors over-expressing the ErbB2 receptor. METHODOLOGY/PRINCIPAL FINDINGS: To uncover the pathways against which future therapies could be developed we undertook a meta-analysis of gene expression from five large microarray datasets relative to ER status. A measure of association with ER status was calculated for every Affymetrix HG-U133A probe set and the pathways that distinguished ER- tumors were defined by testing for enrichment of biologically defined gene sets using Gene Set Enrichment Analysis (GSEA). As expected, the expression of the direct transcriptional targets of the ER was muted in ER- tumors, but the expression of genes indirectly regulated by estrogen was enhanced. We also observed enrichment of independent MYC- and E2F-driven transcriptional programs. We used a cell model of estrogen and MYC action to define the interaction between estrogen and MYC transcriptional activity in breast cancer. We found that the basal subgroup of ER- breast cancer showed a strong MYC transcriptional response that reproduced the indirect estrogen response seen in estrogen receptor positive (ER+) breast cancer cells. CONCLUSIONS/SIGNIFICANCE: Increased transcriptional activity of MYC is a characteristic of basal breast cancers where it mimics a large part of an estrogen response in the absence of the ER, suggesting a mechanism by which these cancers achieve estrogen-independence and providing a potential therapeutic target for this poor prognosis sub group of breast cancer.

Antigen selection in the IgE response of allergic and nonallergic individuals.

BACKGROUND: Affinity maturation within germinal centers should usually lead to an accumulation of replacement mutations in complementarity-determining regions (CDRs) of Ig genes as a result of antigen selection. A number of studies have suggested, but not statistically demonstrated, that antigen selection might not guide such an accumulation of replacement mutations in allergic IgE sequences. This has been suggested to reflect the nature of allergens themselves or of the allergic response. OBJECTIVE: We sought to investigate the role of antigen selection in the evolution of the IgE response by mean of analysis of Ig sequences derived from both allergic and nonallergic individuals. METHODS: IgE sequences were amplified from peripheral blood of allergic and nonallergic individuals by using seminested RT-PCR. Additional IgE and IgG sequences were obtained from public databases. Analysis considered replacement mutations in the CDRs as a proportion of total mutations and compared IgE sequences with IgG sequences. RESULTS: The nonallergic IgE sequences were significantly less mutated than both the allergic IgE (P < .001) and IgG (P < .01) sequences. There was a low proportion of replacement mutations in the CDRs of both nonallergic and allergic IgE sequences and a significantly increased proportion of such mutations in IgG sequences (P < .001). CONCLUSIONS: IgE antibodies in both nonallergic and allergic individuals appear to accumulate few somatic point mutations as a consequence of antigen selection. CLINICAL IMPLICATIONS: Allergic and nonallergic IgE responses might often develop along a common pathway that is distinct from the conventional germinal center reaction through which the IgG response develops.

Genetic dissection of gene regulation in multiple mouse tissues.

The analysis of the influence of genetic variation on regulation of gene expression at a near-genome-wide level has become the focus of much recent interest. It is widely appreciated that many genes are expressed in a tissue-specific manner and that others are more ubiquitously expressed but relatively little is known about how genetic variation might influence these tissue patterns of gene expression. In this review we discuss what is known about the tissue specificity of the influence of genetic variation and review the challenges that we face in combining hugely parallel, microarray-based gene analysis with equally expensive genetic analysis. We conclude that the available data suggest that genetic variation is essentially tissue specific in its effects upon gene expression and this has important implications for experimental analysis.