Review of non-clinical risk models to aid prevention of breast cancer.

A disease risk model is a statistical method which assesses the probability that an individual will develop one or more diseases within a stated period of time. Such models take into account the presence or absence of specific epidemiological risk factors associated with the disease and thereby potentially identify individuals at higher risk. Such models are currently used clinically to identify people at higher risk, including identifying women who are at increased risk of developing breast cancer.

Risk biomarkers enable precision in public health.

Precision medicine uses biomarkers to diagnose disease. However, they can also be used to measure risk of disease. Thus, biomarkers herald a new addition to public health - Precision Public Health.

Biobank Finances: A Socio-Economic Analysis and Review.

This socio-economic study is based on the widely held view that there is an inadequate supply of human biological samples that is hampering biomedical research development and innovation (RDI). The potential value of samples and the associated data are thus not being realized. We aimed to examine whether the financing of biobanks contributes to this problem and then to propose a national solution.

Public biobanks: calculation and recovery of costs.

A calculation grid developed by an international expert group was tested across biobanks in six countries to evaluate costs for collections of various types of biospecimens. The assessment yielded a tool for setting specimen-access prices that were transparently related to biobank costs, and the tool was applied across three models of collaborative partnership.

Course fees and academic ranking: insights from the IMI EMTRAIN on-course® database.

The Innovative Medicines Initiative (IMI) funded project on-course® (http://www.on-course.eu/) lists postgraduate biomedical courses in Europe and is comprehensive for all taught and research master's courses.

Toward a roadmap in global biobanking for health.

Biobanks can have a pivotal role in elucidating disease etiology, translation, and advancing public health. However, meeting these challenges hinges on a critical shift in the way science is conducted and requires biobank harmonization. There is growing recognition that a common strategy is imperative to develop biobanking globally and effectively.

Selection and Implementation of the ISO9001 Standard to Support Biobanking Research Infrastructure Development.

The UK DNA Banking Network (UDBN) undertakes biobanking for genetic epidemiology research projects. A task assigned to it is the addition of scientific value to the resources under its management. This task is implemented by enabling appropriate access to the resources.

Sources of variability between biobanks in the estimation of DNA concentration.

In biobank networks, accrual, aggregation, and retrieval of samples and data are impeded if minimal standards are not agreed in advance by the network members. The critical requirement is that outputs be standardized between biobanks. To start to address this problem of minimal standards, we undertook a pilot study and now report a follow-up study with 79 centers to identify sources of variability in a common measurement-the estimation of DNA concentration.

Impaired glucose tolerance and insulin resistance in heart failure: underrecognized and undertreated?

Background: A link between diabetes mellitus (DM) and heart failure (HF) has been well-recognized for more than a century. HF is also closely linked to abnormal glucose regulation (AGR) and insulin resistance (IR) in patients without DM and, similarly, these conditions commonly coexist. In epidemiological studies, each condition appears to predict the other.

Familial chronic lymphocytic leukemia in Norway and Denmark. Comments on pleiotropy and birth order.

Aim: To investigate the genetics of chronic lymphocytic leukemia (CLL).

Materials And Methods: In 56 (7%) out of 800 CLL patients with concomitant malignant hematological disease, 51 families and 141 cases were ascertained.

Result: 106 cases (75%) of CLL, 27 cases (19%) of nonCLL and 8 cases (6%) of myeloproliferative disorders.

Observational study on variability between biobanks in the estimation of DNA concentration.

Background: There is little confidence in the consistency of estimation of DNA concentrations when samples move between laboratories. Evidence on this consistency is largely anecdotal. Therefore there is a need first to measure this consistency among different laboratories and then identify and implement remedies.

The UK DNA banking network: a "fair access" biobank.

The UK DNA Banking Network (UDBN) is a secondary biobank: it aggregates and manages resources (samples and data) originated by others. The network comprises, on the one hand, investigator groups led by clinicians each with a distinct disease specialism and, on the other hand, a research infrastructure to manage samples and data. The infrastructure addresses the problem of providing secure quality-assured accrual, storage, replenishment and distribution capacities for samples and of facilitating access to DNA aliquots and data for new peer-reviewed studies in genetic epidemiology.

Birth order pattern in the inheritance of chronic lymphocytic leukaemia and related lymphoproliferative disease.

Rank order of affected offspring in a sibship can inform on epigenetic factors in disease susceptibility. Here we report an analysis of birth order in 32 families segregating chronic lymphocytic leukaemia (CLL) and other B-cell lymphoproliferative disorders. A paternal-offspring, but not a maternal-offspring birth rank order was observed.

Biobanking for Europe.

Biobanks are well-organized resources comprising biological samples and associated information that are accessible to scientific investigation. Across Europe, millions of samples with related data are held in different types of collections. While individual collections can be well organized and accessible, the resources are subject to fragmentation, insecurity of funding and incompleteness.

A high-density SNP genomewide linkage scan for chronic lymphocytic leukemia-susceptibility loci.

Chronic lymphocytic leukemia (CLL) and other B-cell lymphoproliferative disorders (LPDs) show clear evidence of familial aggregation, but the inherited basis is largely unknown. To identify a susceptibility gene for CLL, we conducted a genomewide linkage analysis of 115 pedigrees, using a high-density single-nucleotide polymorphism (SNP) array containing 11,560 markers. Multipoint linkage analyses were undertaken using both nonparametric (model-free) and parametric (model-based) methods.

Causation of chronic lymphocytic leukemia--insights from familial disease.

In Western countries B-cell chronic lymphocytic leukemia (CLL) is the most common form of leukemia. Evidence from epidemiological studies and family studies strongly supports the notion that a subset of CLL involves inherited susceptibility. Identification of genes predisposing to CLL should be useful for diagnosis and treatment, as well as serving as a model for B-cell tumorigenesis in general.