Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning

Traditionally, medical discoveries are made by observing associations and then designing experiments to test these hypotheses. However, observing and quantifying associations in images can be difficult because of the wide variety of features, patterns, colors, values, shapes in real data. In this paper, we use deep learning, a machine learning technique that learns its own features, to discover new knowledge from retinal fundus images. Using models trained on data from 284,335 patients, and validated on two independent datasets of 12,026 and 999 patients, we predict cardiovascular risk factors not previously thought to be present or quantifiable in retinal images, such as such as age (within 3.26 years), gender (0.97 AUC), smoking status (0.71 AUC), HbA1c (within 1.39%), systolic blood pressure (within 11.23mmHg) as well as major adverse cardiac events (0.70 AUC). We further show that our models used distinct aspects of the anatomy to generate each prediction, such as the optic disc or blood vessels, opening avenues of further research

Genetic determinants of cortical structure (thickness, surface area and volumes) among disease free adults in the CHARGE Consortium

Cortical thickness, surface area and volumes (MRI cortical measures) vary with age and cognitive function, and in neurological and psychiatric diseases. We examined heritability, genetic correlations and genome-wide associations of cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprised 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the United Kingdom Biobank. Significant associations were replicated in the Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) consortium, and their biological implications explored using bioinformatic annotation and pathway analyses. We identified genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There was enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging

ASTRO Journals' Data Sharing Policy and Recommended Best Practices.

Transparency, openness, and reproducibility are important characteristics in scientific publishing. Although many researchers embrace these characteristics, data sharing has yet to become common practice. Nevertheless, data sharing is becoming an increasingly important topic among societies, publishers, researchers, patient advocates, and funders, especially as it pertains to data from clinical trials. In response, ASTRO developed a data policy and guide to best practices for authors submitting to its journals. ASTRO's data sharing policy is that authors should indicate, in data availability statements, if the data are being shared and if so, how the data may be accessed

Social and Communicative Functions of Informed Consent Forms in East Asia and Beyond

The recent research and technology development in medical genomics has raised new issues that are profoundly different from those encountered in traditional clinical research for which informed consent was developed. Global initiatives for international collaboration and public participation in genomics research now face an increasing demand for new forms of informed consent which reflect local contexts. This article analyzes informed consent forms (ICFs) for genomic research formulated by four selected research programs and institutes in East Asia – the Medical Genome Science Program in Japan, Universiti Sains Malaysia Human Research Ethics Committee in Malaysia, and the Taiwan Biobank and the Taipei Medical University- Joint Institutional Review Board in Taiwan. The comparative text analysis highlights East Asian contexts as distinct from other regions by identifying communicative and social functions of consent forms. The communicative functions include re-contact options and offering interactive support for research participants, and setting opportunities for family or community engagement in the consent process. This implies that informed consent cannot be validated solely with the completion of a consent form at the initial stage of the research, and informed consent templates can facilitate interactions between researchers and participants through (even before and after) the research process. The social functions consist of informing participants of possible social risks that include genetic discrimination, sample and data sharing, and highlighting the role of ethics committees. Although international ethics harmonization and the subsequent coordination of consent forms may be necessary to maintain the quality and consistency of consent process for data-intensive international research, it is also worth paying more attention to the local values and different settings that exist where research participants are situated for research in medical genomics. More than simply tools to gain consent from research participants, ICFs function rather as a device of social communication between research communities and civic communities in liaison with intermediary agents like ethics committees, genetic counselors, and public biobanks and databases

Biobanks in Europe: Prospects for Harmonisation and Networking

Biobanks (i.e. the organised collections consisting of biological samples and associated data, have gained great significance for research and personalised medicine) are increasingly recognised as a crucial infrastructure for research. However, at the same time the widely varied practices in biobanking regarding for example collection, storage and consent procedures may also pose a barrier to cross-border research and collaboration by limiting access to samples and data. In this context, a recent study indicates that the limited sharing and linkage of samples is a key barrier for research, such as pharmacogenetics. Wide variation is observed in the implementation of relevant existing regulation, which may add further burden to harnessing the public health benefit of these collections. Therefore, it has been suggested that there is a strong need for a harmonised approach on biobanking practices and improved networking of existing and new collections. This Report shows information on the extent of biobanking in Europe, collected through a survey of existing European biobanks regarding both technical aspects (e.g. storage conditions) and aspects of governance and ethics (e.g. sample and data sharing, consent procedures, collaborations etc.). In total, 126 biobanks from 23 countries in Europe were surveyed. Significant lack of harmonisation has been found, especially in the legal aspects (e.g. data protection, consent). This may be partly attributed to the varied interpretation and implementation of EC directives covering aspects of biobanking by national authorities. One of the main complications is that, although the field of data protection is harmonised through the EC directive on data protection, the collection, storage, and sharing of samples is not. Furthermore, in countries that have introduced special biobanks acts it is not always clear where the borderline lies between the scope of these acts and that of the Directive. Indeed, according to the survey, biobanks within the same country reported different practices, suggesting that the problems of harmonization might be higher than expected and claimed. Not only are there different national laws, but apparently within EU member states biobanks do not implement homogenous practices on privacy and data protection issues. Desk research and expert interviews were done to complete the picture presented by the survey. Experts widely recognised the need to improve collaboration and networking among the numerous existing biobanks, as well as new initiatives in Europe (and world-wide). Efficient organisation of these resources through the development, for example, of an infrastructure would potentially facilitate financial sustainability and greatly contribute to the rapid progress of research and development of better diagnostic and therapeutic approaches. The most favoured model involved the development of a virtual biobank that would allow networking of biobanks across different countries and centralisation of data rather than samples. However, several organisational challenges (wide variation in biospecimen collection, storage techniques, data comparability, etc.) may hamper such an effort. The lack of uniform regulatory and ethical requirements and/or practices may pose an additional barrier. The European Commission has already recognised the importance of international biobank projects and many of them have been funded and established in the context of the EU Framework Programmes. To help promote networking of biobanks and thus maximise public health benefits, at least some degree of harmonisation must be achieved. Whether this should be achieved solely at the level of legal/regulatory requirements and practices and/or by technical standardisation requires further investigation. Experts suggested the establishment of an international (rathen than just a European) umbrella (or network) organization, which would establish common operating procedures.JRC.DDG.J.2-The economics of climate change, energy and transpor

The Socio-genetic marginalization in Asia programme (SMAP)

SMAP, the Socio-genetic Marginalization in Asia Programme, which started off in August 2004, is a research programme set up with the support of the Netherlands Science Organisation (NWO), IIAS, and the Amsterdam School for Social Science Research (ASSR). Exploring cultural, social and economic aspects of the role of genetic technologies played in the area of state organisation, population policies, health care systems and research regulation in China, India and Japan, SMAP is expected to shed light on how differences in the application of modern genetic technologies generate different practices. The programme focuses on: (I) the ways in which (universal) regulation for genetic sampling by international companies and universities leads to disputable research practices among vulnerable populations; (II) how bioethical differences between healthcare systems are expressed in the different meanings allocated to concepts, such as informed consent, health, and family values; and, (III) the consequences of development priorities and practices of genetic screening for the livelihood and identities of diverging social groups