Harvesting the benefits of genomics requires a new kind of transdisciplinary cooperation. Over the next three years, we will create the Center for Transdisciplinary ELSI Research in Translational Genomics (CT2G) to address key ELSI questions in translational research. The proposed Center brings together the unique resources of Kaiser Permanente Northern California (KPNC), including its Division of Research, and the University of California, San Francisco (UCSF), including the Hastings College of the Law Consortium on Law, Science & Health Policy.

The purpose of the Newborn Sequencing In Genomic medicine and public HealTh (NSIGHT) program is to explore, in a limited but deliberate manner, the implications, challenges and opportunities associated with the possible use of genomic sequence information in the newborn period. Funds will be used to stimulate research in three component projects specifically applicable to newborn screening:

1) Acquisition and analysis of genomic datasets that expand considerably the scale of data available for analysis in the newborn period.

H3Africa provides an unprecedented opportunity to study genetic and genomic technologies into research, diagnosis, intervention, and treatment for sickle cell disease (SCD) in Africa. As such, involving a few African Centers already involved in the forefront of Sickle Cell Disease Research in Africa with moderate expertise on psychosocial research (Cameroon), newborn screening (Ghana) or genomics studies (Tanzania) could serves as a reservoir for rigorous examination of a wide range of accompanying ethical, psychosocial, cultural, and policy issues.

In recent years, researchers from around the world have begun developing repositories of tissues and socio-demographic data for genetics and other biomedical research. These biobanks, often linked with patient health care records, have been an invaluable resource in helping to understand cancer, diabetes, and various genetic-related disorders. The specimens and data are especially valuable when combined and analyzed with specimens and data from other countries, because rare variations can be detected and examined.

This project employs a multi-method, transdisciplinary approach that combines ethnographic participant- observation, interview research methods, ethical, legal, and public policy analyses. The two goals of the present project are 1) to identify the ethical, legal, and policy challenges that the field of psychiatric genomics will face when trying to translate the findings of large-scale GWAS into clinically useful information, and 2) to make evidence-based recommendations about how to address these challenges.

The eMERGE project brings together researchers with a wide range of expertise in genomics, statistics, ethics, informatics, and clinical medicine from leading medical research institutions across the country to conduct research in genomics, including discovery, clinical implementation and public resources. The primary goal of eMERGE is to develop, disseminate, and apply approaches to research that combine biorepositories with electronic medical record (EMR) systems for genomic discovery and genomic medicine implementation research.

Obtaining adequate informed consent from potential research participants is a significant challenge for biobank-dependent research. To maintain public trust and support, it is important to establish an informed decision-making process for the collection and use of biospecimens collected within clinical settings. For the majority of all infants born in the US, residual dried blood biospecimens are generated after newborn screening is completed. Some programs have chosen to store these specimens for several uses including biomedical research.

Advances in psychiatric genetics are likely to offer major diagnostic and therapeutic benefits, but also legal and social-related risks, to individuals who were diagnosed with, or have a proclivity for, psychiatric disorders. In response, courts and policy-makers will have to ensure that psychiatric genetic data are used to promote, and not to obstruct, equality, justice, and social inclusion.

A big data ecosystem is evolving in our society in which people may have, or feel they have, little control over the flow of their personal health information, and thus their privacy. Further, although there has been significant discussion related to big data and privacy at the highest levels of government, there is little consensus among scholars and stakeholders as to what privacy actually is, not to mention a lack of data from individuals as to personal conceptions of privacy.

Many national and international public and private initiatives are forming to collect and share data on a large scale for research and clinical use. Collectively, these efforts may lead to the creation of a medical information commons, a networked environment in which diverse sources of health, medical, and genomic data on large populations become widely shared resources.