The Personal Genome Project
By George M. Church. 2005
236 citations recorded by the source corpus.
Mol Syst Biol. 1: 2005.0030 Large potential benefits for systems biology reside in applications to human health and identity. To develop our community's skills in these directions, ready access to highly integrated and comprehensive human genome and phenome data sets is extremely important and increasingly feasible technically. The few human 'functional genomics' data sets available today tend to be isolated from one another. Some of the tools needed to break through this impasse are addressed below in the context of a Personal Genome Project (PGP) as a natural successor to the Human Genome Project (HGP)—two recent buds in the ancient field of genetics. From my first interaction with Wally Gilbert in 1976, it seemed that a large (but appealing) leap would be to go from his new method for sequencing 30 bp segments to a method to get everyone's full genome sequenced. Six billion base pairs for six billion people had a nice ring to it. This was still merely a fantasy when we published a paper called 'Genomic Sequencing' in 1984 (Church and Gilbert, 1984) and conspired to create a 3 billion dollar HGP later that year (Cook‐Deegan, 1989). For the subsequent 16 years, radical technology development (while kept alive in a few 'back‐rooms') was clearly a minor funding priority relative to 'production' sequencing. However, by 2001, the criticisms of the old technology grew and the call for affordable personal genomes became irresistible (Jonietz, 2001). In early 2004, the NIH‐NHGRI posted a request for applications, and in October 2004 and August 2005, announced grant awards totaling $70 million for technology leading to human genome sequences for $100 000 in 5 years and $1000 in 10 years (http://www.nih.gov/news/pr/aug2005/nhgri‐08.htm). As if the motivation were not already high enough, at the recent Genome Sequencing & Analysis Conference in Hilton Head (October …
Subfields: Genetics, Molecular Biology
Citations in the corpus
- Privacy Amplification by Iteration (2018, neutral): “The public corpus can be based on optin population, such as a product’s developers or early testers, data shared by volunteers [12], or be released through a legal process [13].”
- High-Throughput Sequencing Technologies (2015, unknown): “Open access projects, such as the Personal Genomes Project and integrative Personal Omics Profiling (iPOP), will also provide valuable community resources for linking phenotypes to sequences (Chen et al., 2012; Church, 2005).”
- Private genome analysis through homomorphic encryption (2015, unknown): “Moreover, many genome projects like the Personal Genome Project (PGP) [1] and the HapMap Project [2] display genotypic information in public databases, so genomic data has become publicly accessible.”
- Next generation disparities in human genomics: concerns and remedies. (2009, unknown): “sequence 100 000 individuals, ideally from diverse backgrounds [ 44 ].”
- Advanced sequencing technologies: methods and goals (2004, unknown): “A framework survey and forum for potential volunteers to discuss risks and benefits might be a crucial reality check at this point 74 .”
- The diploid genome sequence of an Asian individual (2008, unknown): “(5) there had to be at least one paired-end read; and (6) the SNPs had to be at”
- Standardization of sample collection, isolation and analysis methods in extracellular vesicle research (2013, unknown): “For example, in George Church’s Personal Genome Project (http://www.personalgenomes. org/), donors volunteer personal genomic materials and personal information (91 (cid:2) 93).”
- Individual brain organoids reproducibly form cell diversity of the human cerebral cortex (2019, unknown): “To standardize and compare these four models, we derived cultures of each from the same hiPSC line, PGP1 16 .”
- Systems medicine: the future of medical genomics and healthcare (2009, unknown): “This opens up the possibility of a Personal Genome Project to find correlations between genotypes and normal or diseased phenotypes [38].”