Confronting real time ethical, legal, and social issues in the Electronic Medical Records and Genomics (eMERGE) Consortium.
Confronting real time ethical, legal, and social issues in the Electronic Medical Records and Genomics (eMERGE) Consortium.
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DOI:
10.1097/gim.0b013e3181efdbd0
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发表时间:
2010-10
期刊:
影响因子:
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通讯作者:
Consent and Community Consultation Working Group of the eMERGE Consortium
中科院分区:
文献类型:
--
作者:
Clayton EW;Smith M;Fullerton SM;Burke W;McCarty CA;Koenig BA;McGuire AL;Beskow LM;Dressler L;Lemke AA;Ramos EM;Rodriguez LL;Consent and Community Consultation Working Group of the eMERGE Consortium
Increasingly, genomic research is being conducted through large, multi-site consortia. For example, the Electronic Medical Records and Genomics (eMERGE) Consortium was funded by the National Human Genome Research Institute to evaluate the scientific feasibility and potential value of performing genome wide association studies (GWAS) using information from electronic medical records together with hundreds of thousands of single nucleotide polymorphisms from samples obtained in the course of existing cohort studies, biorepositories, or from residual tissue or blood samples. This experiment, if successful, will enable a vast amount of research, especially because more and more medical information is stored electronically and as the cost of genotyping and sequencing decreases. However, the ability to use existing clinical information and samples for GWAS, while exciting, raises a number of ethical, legal, social, and policy issues. Examples of some of the issues raised by this type of research include the following: What sort of consent, if any, is required for such research? When might it be necessary to obtain new consent for the use of previously collected samples? Recognizing the value and the cost of obtaining such rich clinical and genetic variation data, and the desirability of combining datasets to permit more robust analysis, the National Institutes of Health (NIH) has strongly encouraged GWAS funded by the NIH, including the eMERGE data, be placed in a central repository called the database of Genotypes and Phenotypes (dbGaP) for use by other qualified investigators. 1 To what extent should patients and research participants be able to opt out of having their data shared with the broader research community through government-sponsored databases such as db-GaP? When diverse data sources are combined and then shared beyond the originating institutions, the abilities of investigators or biorepository managers to protect participants’ interests, including privacy, necessarily change. Given this shift, do the obligations of those who originally collected samples change, and if so, how? Should investigators’ obligations differ depending on whether data and samples come from patients seeking routine care or from participants in a pre-existing research project? When, if ever, should research results, either aggregate or individual, be returned to participants? What about incidental findings? And what role should communities play in long-term oversight and governance of these projects? To address these, and related concerns, each eMERGE site was required to bring together genetic researchers and ethical, legal, and social implications (ELSI) investigators to address the ethical and social challenges of such research. Building an ethics component into large scientific studies provides an opportunity for transdisciplinary ELSI research that is immediately responsive to the emerging issues raised by scientific innovation, an approach that is becoming more common in genomics research. 2–4 The eMERGE Consortium provides a particularly rich landscape in which to pursue such research. The five partner institutions are examining data from a variety of populations that differ in their demographic characteristics, the ways they were recruited, and in the depth and stability of their relationships with the particular research team and institution (Table 1). Each eMERGE site includes investigators who bring particular disciplinary perspectives and approaches to studying the implications of using information from electronic medical records for GWAS (Table 1).(Additional information about each member site and its research can be found at www …