We are performing whole genome sequencing (WGS) of families with Autism Spectrum Disorder (ASD) to build a resource, named MSSNG, to enable the sub-categorization of phenotypes and underlying genetic factors involved. Here, we report WGS of 5,205 samples from families with ASD, accompanied by clinical information, creating a database accessible in a cloud platform, and through an internet portal with controlled access. We found an average of 73.8 de novo single nucleotide variants and 12.6 de novo insertion/deletions (indels) or copy number variations (CNVs) per ASD subject. We identified 18 new candidate ASD-risk genes such as MED13 and PHF3, and found that participants bearing mutations in susceptibility genes had significantly lower adaptive ability (p=6×10−4). In 294/2,620 (11.2%) of ASD cases, a molecular basis could be determined and 7.2% of these carried CNV/chromosomal abnormalities, emphasizing the importance of detecting all forms of genetic variation as diagnostic and therapeutic targets in ASD.

Data sharing is increasingly regarded as an ethical and scientific imperative that advances knowledge and thereby respects the contributions of the participants. Because of this and the ever-increasing amount of data access requests currently filed around the world, three groups have decided to develop data sharing principles specific to the context of collaborative international genomics research. These groups are: the international Public Population Project in Genomics (P3G), an international consortium of projects partaking in large-scale genetic epidemiological studies and biobanks; the European Network for Genetic and Genomic Epidemiology (ENGAGE), a research project aiming to translate data from large-scale epidemiological research initiatives into relevant clinical information; and the Centre for Health, Law and Emerging Technologies (HeLEX). We propose seven different principles and a preliminary international data sharing Code of Conduct for ongoing discussion.

The Public Population Project in Genomics and Society (P3G) is a not-for profit international consortium with members from more than 40 countries. Its objective is to lead, catalyze, and co-ordinate international efforts and expertise in order to optimize the use of population studies, biobanks, research databases, and other similar health and social science research infrastructures. The year 2011–2012 witnessed a plethora of special issues of journals on the return of results but few discussed the particular situation of population studies that serve as resources for future unspecified research. P3G considers it important to propose a policy that distinguishes between the contexts of population research and disease (clinical) research involving patients and then delineates actual and future obligations. The objectives of this Policy Statement are to: (1) delineate the particular characteristics of population studies, (2) distinguish the circumstances surrounding access by researchers to such studies, and (3) develop a framework for the return of research results and incidental findings.

Data sharing is essential for the conduct of cutting-edge research and is increasingly required by funders concerned with maximising the scientific yield from research data collections. International research consortia are encouraged to share data intra-consortia, inter-consortia and with the wider scientific community. Little is reported regarding the factors that hinder or facilitate data sharing in these different situations. This paper provides results from a survey conducted in the European Network for Genetic and Genomic Epidemiology (ENGAGE) that collected information from its participating institutions about their data-sharing experiences. The questionnaire queried about potential hurdles to data sharing, concerns about data sharing, lessons learned and recommendations for future collaborations. Overall, the survey results reveal that data sharing functioned well in ENGAGE and highlight areas that posed the most frequent hurdles for data sharing. Further challenges arise for international data sharing beyond the consortium. These challenges are described and steps to help address these are outlined.

The rapid emergence of large-scale genetic databases raises issues at the nexus of medical law and ethics, as well as the need, at both national and international levels, for an appropriate and effective framework for their governance. This is even more so for retrospective access to data for secondary uses, wherein the original consent did not foresee such use. The first part of this paper provides a brief historical overview of the ethical and legal frameworks governing consent issues in biobanking generally, before turning to the secondary use of retrospective data in epidemiological biobanks. Such use raises particularly complex issues when (1) the original consent provided is restricted; (2) the minor research subject reaches legal age; (3) the research subject dies; or (4) samples and data were obtained during medical care. Our analysis demonstrates the inconclusive, and even contradictory, nature of guidelines and confirms the current lack of compatible regulations. The second part of this paper uses the European Network for Genetic and Genomic Epidemiology (ENGAGE Consortium) as a case study to illustrate the challenges of research using previously collected data sets in Europe. Our study of 52 ENGAGE consent forms and information documents shows that a broad range of mechanisms were developed to enable secondary use of the data that are part of the ENGAGE Consortium.