Rapid advances in DNA sequencing promise to
enable new diagnostics and individualized therapies. Achieving personalized
medicine, however, will require extensive research on highly reidentifiable, integrated datasets of genomic
and health information. To assist with this, participants in the Personal
Genome Project choose to forgo privacy via our institutional review
boardapproved “open consent” process. The contribution of public data and samples
facilitates both scientific discovery and standardization of methods. We present our findings after enrollment of more than
1,800 participants, including whole-genome sequencing of 10 pilot participant
genomes (the PGP-10). We introduce the GenomeEnvironment-Trait Evidence
(GET-Evidence) system. This tool automatically processes genomes and
prioritizes both published and novel variants for interpretation. In the
process of reviewing the presumed healthy PGP-10 genomes, we find numerous literature references
implying serious disease. Although it is sometimes impossible to rule out a
late-onset effect, stringent evidence requirements can address the high rate of
incidental findings.
To that end we develop a peer production system for recording and organizing
variant evaluations according to standard evidence guidelines, creating a
public forum for reaching consensus on interpretation of clinically relevant
variants. Genome analysis becomes a two-step process: using a prioritized list
to record variant evaluations, then automatically sorting reviewed variants
using these annotations. Genome data, health and trait information, participant
samples, and variant interpretations are all shared in the public domain—we
invite others to review our results using our participant samples and
contribute to our interpretations. We offer our public resource and methods to
further personalized medical research.
Source: A public resource facilitating
clinical use of genomes. Ball MP, Thakuria JV, Zaranek AW, Clegg T, Rosenbaum
AM, Wu X, Angrist M, Bhak J, Bobe J, Callow MJ, Cano C, Chou MF, Chung WK,
Douglas SM, Estep PW, Gore A, Hulick P, Labarga A, Lee JH, Lunshof JE, Kim BC,
Kim JI, Li Z, Murray MF, Nilsen GB, Peters BA, Raman AM, Rienhoff HY, Robasky
K, Wheeler MT, Vandewege W, Vorhaus DB, Yang JL, Yang L, Aach J, Ashley EA,
Drmanac R, Kim SJ, Li JB, Peshkin L, Seidman CE, Seo JS, Zhang K, Rehm HL,
Church GM. Proc Natl Acad Sci U S A. 2012 Jul 13. [Epub ahead of print]
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