46 research outputs found
Ownership identity, strategy and performance:business group affiliates versus independent firms in India
We consider whether the impact of entrepreneurial orientation on business performance is moderated by the company affiliation with business groups. Within business groups, we explore the trade-off between inter-firm insurance that enables risk-taking, and inefficient resource allocation. Risk-taking in group affiliated firms leads to higher performance, compared to independent firms, but the impact of proactivity is attenuated. Utilizing Indian data, we show that risk-taking may undermine rather than improve business performance, but this effect is not present in business groups. Proactivity enhances performance, but less so in business groups. Firms can also enhance performance by technological knowledge acquisition, but these effects are not significantly different for various ownership categories
Induction of epigenetic variation in Arabidopsis by over-expression of DNA METHYLTRANSFERASE1 (MET1)
Epigenetic marks such as DNA methylation and histone modification can vary among plant accessions creating epi-alleles with different levels of expression competence. Mutations in epigenetic pathway functions are powerful tools to induce epigenetic variation. As an alternative approach, we investigated the potential of over-expressing an epigenetic function, using DNA METHYLTRANSFERASE1 (MET1) for proof-of-concept. In Arabidopsis thaliana, MET1 controls maintenance of cytosine methylation at symmetrical CG positions. At some loci, which contain dense DNA methylation in CG- and non-CG context, loss of MET1 causes joint loss of all cytosines methylation marks. We find that over-expression of both catalytically active and inactive versions of MET1 stochastically generates new epi-alleles at loci encoding transposable elements, non-coding RNAs and proteins, which results for most loci in an increase in expression. Individual transformants share some common phenotypes and genes with altered gene expression. Altered expression states can be transmitted to the next generation, which does not require the continuous presence of the MET1 transgene. Long-term stability and epigenetic features differ for individual loci. Our data show that over-expression of MET1, and potentially of other genes encoding epigenetic factors, offers an alternative strategy to identify epigenetic target genes and to create novel epi-alleles
Plasma biomarkers of depressive symptoms in older adults
The pathophysiology of negative affect states in older adults is complex, and a
host of central nervous system and peripheral systemic mechanisms may play
primary or contributing roles. We conducted an unbiased analysis of 146 plasma
analytes in a multiplex biochemical biomarker study in relation to number of
depressive symptoms endorsed by 566 participants in the Alzheimer's Disease
Neuroimaging Initiative (ADNI) at their baseline and 1-year assessments.
Analytes that were most highly associated with depressive symptoms included
hepatocyte growth factor, insulin polypeptides, pregnancy-associated plasma
protein-A and vascular endothelial growth factor. Separate regression models
assessed contributions of past history of psychiatric illness, antidepressant or
other psychotropic medicine, apolipoprotein E genotype, body mass index, serum
glucose and cerebrospinal fluid (CSF) τ and amyloid levels, and none of
these values significantly attenuated the main effects of the candidate analyte
levels for depressive symptoms score. Ensemble machine learning with Random
Forests found good accuracy (∼80%) in classifying groups with and
without depressive symptoms. These data begin to identify biochemical biomarkers
of depressive symptoms in older adults that may be useful in investigations of
pathophysiological mechanisms of depression in aging and neurodegenerative
dementias and as targets of novel treatment approaches
The BRCA2 c.68-7T > A variant is not pathogenic: A model for clinical calibration of spliceogenicity.
Although the spliceogenic nature of the BRCA2 c.68-7T>A variant has been demonstrated, its association with cancer risk remains ontroversial. In this study, we accurately quantified by real-time PCR and digital PCR the BRCA2 isoforms retaining or missing exon 3. In addition, the combined odds ratio for causality of the variant was estimated using genetic and clinical data, and its associated cancer risk was estimated by case-control analysis in 83,636
individuals. Co-occurrence in trans with pathogenic BRCA2 variants was assessed in 5,382 families. Exon 3 exclusion rate was 4.5-fold higher in variant carriers (13%) than controls (3%), indicating an exclusion rate for the c.68-7T>A allele of approximately 20%. The posterior probability of pathogenicity was 7.44 x 10-115. There was neither evidence for
increased risk of breast cancer (OR 1.03; 95% CI 0.86-1.24), nor for a deleterious effect of the variant when co-occurring with pathogenic variants. Our data provide for the first time robust evidence of the non-pathogenicity of the BRCA2 c.68-7T>A. Genetic and quantitative
transcript analyses together inform the threshold for the ratio between functional and altered BRCA2 isoforms compatible with normal cell function. These findings might be exploited to assess the relevance for cancer risk of other BRCA2 spliceogenic variants