The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA’s first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.
Very rapidly after Varroa destructor invaded apiaries of Apis mellifera, the devastating effect of this mite prompted an active research effort to understand and control this parasite. Over a few decades, varroa has spread to most countries exploiting A. mellifera. As a consequence, a large number of teams have worked with this organism, developing a diversity of research methods. Often different approaches have been followed to achieve the same goal. The diversity of methods made the results difficult to compare, thus hindering our understanding of this parasite. In this paper, we provide easy to use protocols for the collection, identification, diagnosis, rearing, breeding, marking and measurement of infestation rates and fertility of V. destructor. We also describe experimental protocols to study orientation and feeding of the mite, to infest colonies or cells and measure the mite’s susceptibility to acaricides. Where relevant, we describe which mite should be used for bioassays since their behaviour is influenced by their physiological state. We also give a method to determine the damage threshold above which varroa damages colonies. This tool is fundamental to be able to implement integrated control concepts. We have described pros and cons for all methods for the user to know which method to use under which circumstances. These methods could be embraced as standards by the community when designing and performing research on V. destructor
Bees are considered to be threatened globally, with severe overwinter losses of the most important commercial pollinator, the Western honeybee, a major concern in the Northern Hemisphere. Emerging infectious diseases have risen to prominence due to their temporal correlation with colony losses. Among these is Deformed wing virus (DWV), which has been frequently linked to colony mortality. We now provide evidence of a strong statistical association between overwintering colony decline in the field and the presence of DWV genotype-B (DWV-B), a genetic variant of DWV that has recently been shown to be more virulent than the original DWV genotype-A. We link the prevalence of DWV-B directly to a quantitative measure of overwinter decline (workforce mortality) of honeybee colonies in the field. We demonstrate that increased prevalence of virus infection in individual bees is associated with higher overwinter mortality. We also observed a substantial reduction of infected colonies in the spring, suggesting that virus-infected individuals had died during the winter. Our findings demonstrate that DWV-B, plus possible A/B recombinants exhibiting DWV-B at PCR primer binding sites, may be a major cause of elevated overwinter honeybee loss. Its potential emergence in naïve populations of bees may have far-reaching ecological and economic impacts.Insect pollination, which is carried out mostly by bees, is required for 75% of all food crops 1 ; the global value of insect pollination in 2005 has been estimated at €153 billion 2 , although this is likely to be an underestimate 3 . In addition, 85% of wild plants are pollinated by animals 4 , chief among these being bees. Bees are therefore of considerable economic and ecological importance. The honeybee Apis mellifera is by far the most important commercial pollinator and is relied upon heavily for the successful pollination of many food crops 5 . However, over the last decade severe yearly losses of honeybees in the Northern Hemisphere 6-9 have raised concerns about food security 10 .The emergence of several infectious diseases has coincided with elevated honeybee colony losses [11][12][13] . Notable among these are positive single stranded RNA (positive ssRNA) viruses that have risen to prominence since the arrival of a novel biological vector from Asia, the ectoparasitic mite Varroa destructor. The mite feeds on the hemolymph of honey bee pupae and adults 14 . Its ability to act as a viral vector and potential incubator of several honeybee RNA viruses has given rise to a new viral transmission route, thereby aiding the spread and re-emergence of several bee viruses [15][16][17] .
The Pediatric Quality of Life Inventory (PedsQL) is a relatively new instrument developed in the US to assess health-related quality of life (HRQL) in healthy and ill children and adolescents. It is quick and easy to use, suitable for assessment by children and parents and based on a modular approach with a generic measure addressing all general domains of HRQL and disease-specific modules. We report here the results of translating the original US generic core instrument and the cancer module into German and testing the German PedsQL in samples of paediatric patients who have been treated for cancer or epilepsy. Like in studies with the original instrument, score distributions tended to be skewed toward higher HRQL, but a full response range was demonstrated for each item. The German PedsQL is reliable in terms of internal consistency with the majority of scales exceeding a Cronbach's alpha of 0.70. Clinical validity was confirmed by differences between the cancer and epilepsy groups in the expected direction and by the ability of the PedsQL to discriminate between subjects with different degrees of medical and psychosocial sequelae. Comparing our findings to US results, the German PedsQL seems to be equivalent to the original version. Future methodologic research should evaluate construct validity, sensitivity and responsiveness, and test the usefulness of the instrument in other clinical populations and healthy children.
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