title: Personal genomes in progress: from the human genome project to the personal genome project.
abstract: The cost of a diploid human genome sequence has dropped from about $70M to $2000 since 2007--even as the standards for redundancy have increased from 7x to 40x in order to improve call rates. Coupled with the low return on investment for common single-nucleotide polylmorphisms, this has caused a significant rise in interest in correlating genome sequences with comprehensive environmental and trait data (GET). The cost of electronic health records, imaging, and microbial, immunological, and behavioral data are also dropping quickly. Sharing such integrated GET datasets and their interpretations with a diversity of researchers and research subjects highlights the need for informed-consent models capable of addressing novel privacy and other issues, as well as for flexible data-sharing resources that make materials and data available with minimum restrictions on use. This article examines the Personal Genome Project's effort to develop a GET database as a public genomics resource broadly accessible to both researchers and research participants, while pursuing the highest standards in research ethics.
authors.affiliation: European Centre for Public Health Genomics, FHML, Maastricht University, Maastricht, The Netherlands.
authors.forename: Jeantine E
authors.initials: JE
authors.lastname: Lunshof
authors.forename: Jason
authors.initials: J
authors.lastname: Bobe
authors.forename: John
authors.initials: J
authors.lastname: Aach
authors.forename: Misha
authors.initials: M
authors.lastname: Angrist
authors.forename: Joseph V
authors.initials: JV
authors.lastname: Thakuria
authors.forename: Daniel B
authors.initials: DB
authors.lastname: Vorhaus
authors.forename: Margret R
authors.initials: MR
authors.lastname: Hoehe
authors.forename: George M
authors.initials: GM
authors.lastname: Church
mesh_terms: D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic / Q000191:economics / Q000706:statistics & numerical data; D057286:Electronic Health Records / Q000191:economics / Q000706:statistics & numerical data; D004777:Environment; D030661:Genetic Privacy; D015894:Genome, Human / Q000502:physiology*; D016045:Human Genome Project / Q000191:economics; D006801:Humans