Predicting quantitative traits from genome and phenome with near perfect accuracy.

In spite of decades of linkage and association studies and its potential impact on human health, reliable prediction of an individual's risk for heritable disease remains difficult. Large numbers of mapped loci do not explain substantial fractions of heritable variation, leaving an open question of whether accurate complex trait predictions can be achieved in practice. Here, we use a genome sequenced population of ∼7,000 yeast strains of high but varying relatedness, and predict growth traits from family information, effects of segregating genetic variants and growth in other environments with an average coefficient of determination R(2) of 0.

Apathy in Neurodegenerative Diseases: Recommendations on the Design of Clinical Trials.

Apathy is a common feature of neurodegenerative disorders but is difficult to study in a clinical trial setting due to practical and conceptual barriers. Principal challenges include a paucity of data regarding apathy in these disorders, an absence of established diagnostic criteria, the presence of confounding factors (eg, coexisting depression), use of concomitant medications, and an absence of a gold-standard apathy assessment scale. Based on a literature search and ongoing collaboration among the authors, we present recommendations for the design of future clinical trials of apathy, suggesting Alzheimer disease and Parkinson disease as models with relevance across a wider array of neuropsychiatric disorders.

DNA flow cytometry in patients undergoing liver transplantation for hepatocellular carcinoma.

The purpose of the study was to analyse patterns of DNA content in hepatocellular carcinomas (HCC) submitted to orthotopic liver transplantation (OLT). Paraffin-embedded archival material from 15 patients (ten men, five women, mean age 51 +/- 1.78 years) transplanted in St-Roch Hospital between 1988 and 1991 was available for laboratory evaluation by flow cytometry.