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A haplotype map of the human genomeThe International HapMap Consortium* Inherited genetic variation has a critical but as yet largely uncharacterized role in human disease. Here we report a public database of common variation in the human genome: more than one million single nucleotide polymorphisms (SNPs) for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted. These data document the generality of recombination hotspots, a block-like structure of linkage disequilibrium and low haplotype diversity, leading to substantial correlations of SNPs with many of their neighbours. We show how the HapMap resource can guide the design and analysis of genetic association studies, shed light on structural variation and recombination, and identify loci that may have been subject to natural selection during human evolution.

Individuals participating in biobanks and other large research projects are increasingly asked to provide broad consent for open-ended research use and widespread sharing of their biosamples and data. We assessed willingness to participate in a biobank using different consent and data sharing models, hypothesizing that willingness would be higher under more restrictive scenarios. Perceived benefits, concerns, and information needs were also assessed. In this experimental survey, individuals from 11 US healthcare systems in the Electronic Medical Records and Genomics (eMERGE) Network were randomly allocated to one of three hypothetical scenarios: tiered consent and controlled data sharing; broad consent and controlled data sharing; or broad consent and open data sharing. Of 82,328 eligible individuals, exactly 13,000 (15.8%) completed the survey. Overall, 66% (95% CI: 63%-69%) of population-weighted respondents stated they would be willing to participate in a biobank; willingness and attitudes did not differ between respondents in the three scenarios. Willingness to participate was associated with self-identified white race, higher educational attainment, lower religiosity, perceiving more research benefits, fewer concerns, and fewer information needs. Most (86%, CI: 84%-87%) participants would want to know what would happen if a researcher misused their health information; fewer (51%, CI: 47%-55%) would worry about their privacy. The concern that the use of broad consent and open data sharing could adversely affect participant recruitment is not supported by these findings. Addressing potential participants' concerns and information needs and building trust and relationships with communities may increase acceptance of broad consent and wide data sharing in biobank research.

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BioVU, the Vanderbilt DNA Databank, is one of few biobanks that qualifies as non‐human subjects research as determined by the local IRB and the federal Office of Human Research Protections (OHRP). BioVU accrues DNA samples extracted from leftover blood remaining from routine clinical testing. The resource is linked to a de‐identified version of data extracted from an Electronic Medical Record (EMR) system, termed the Synthetic Device (SD), in which all personal identifiers have been removed. Thus, there is no identifiable private information attached to the records. The Belmont Report enumerates the importance of the boundary between practice and research, and three principles: Respect for Persons, Beneficence, and Justice, which constitute the essential ethical framework by which IRBs and ethics committees judge the risks and benefi ts of research involving human subjects. BioVU was developed by designing and implementing new procedures, for which there were no previously established methods, which are consistent with the principles of the Belmont Report. These included special oversight and governance, new informatics technologies, provisions to accommodate patients’ preferences, as well as an extensive public education and communications component. Considerations of core principles and protections in the practical implementation of BioVU is the focus of this paper. Clin Trans Sci 2010; Volume #: 1–7