scholarly journals Personal genomes in progress: from the human genome project to the personal genome project

2010 ◽  
Vol 12 (1) ◽  
pp. 47-60 ◽  
Keyword(s):  
Human Genome ◽  
Significant Rise ◽  
Genome Project ◽  
Personal Genome ◽  
Research Subjects ◽  
Single Nucleotide ◽  
Health Records ◽  
Personal Genomes ◽  
The Cost ◽  
The Human Genome Project

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.

2. How to read the book of life

2018 ◽  
pp. 12-27
Author(s):  
John Archibald
Keyword(s):  
Dna Sequencing ◽  
Human Genome ◽  
Single Molecule ◽  
Human Genome Project ◽  
Genome Project ◽  
Chain Termination ◽  
Single Molecule Sequencing ◽  
Semiconductor Sequencing ◽  
The Cost ◽  
The Human Genome Project

For all its biological importance, DNA is a fragile molecule so extracting it is a difficult process. ‘How to read the book of life’ explains the techniques required to sequence DNA. It begins by explaining the techniques developed for protein and RNA sequencing by Frederick Sanger, Robert Holley, and Carl Woese that were then developed further for DNA sequencing. Following the success of the Human Genome Project, the next generation of DNA sequencing was developed in the mid-2000s. Pyrosequencing was capable of generating orders of magnitude more data at a fraction of the cost, but was superceded within a decade by semiconductor sequencing, reversible chain-termination sequencing, and single-molecule sequencing.

The Genetic Revolution at Work: Legislative Efforts to Protect Employees

2002 ◽  
Vol 28 (2-3) ◽  
pp. 271-283
Author(s):  
Patricia A. Roche
Keyword(s):  
Human Genome ◽  
Genetic Information ◽  
Genomic Medicine ◽  
Genome Project ◽  
Human Beings ◽  
Genome Research ◽  
Genetic Revolution ◽  
Common Illnesses ◽  
The Cost ◽  
The Human Genome Project

In justifying the cost of the Human Genome Project, supporters predicted fantastic benefits would result from decoding the human genome: cures for fatal diseases, effective treatments for common illnesses burdening individuals and society and a greater understanding of ourselves as human beings. Fear that genetic information will be misused to harm individuals, however, casts a shadow over this glowing portrait of the future of genomic medicine. Over the last decade, these concerns have led approximately twenty-six states to enact genetic nondiscrimination laws. Although no similar law has been passed by Congress, many, including Francis Collins, Director of the National Center for Human Genome Research, have repeatedly endorsed proposed federal legislation aimed at prohibiting health insurers and employers from using predictive genetic information. The result has been growing bipartisan support for The Genetic Nondiscrimination in Health Insurance and Employment Act introduced in February of 2001 by Representative Louise Slaughter in the House and by Senators Kennedy and Daschle in the Senate.

scholarly journals Application of Artificial Intelligence for Medical Research

Biomolecules ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 90
Author(s):  
Ryuji Hamamoto
Keyword(s):  
Artificial Intelligence ◽  
Medical Research ◽  
Human Genome ◽  
21St Century ◽  
Human Genome Project ◽  
Genome Project ◽  
International Consortium ◽  
The Human Genome Project

The Human Genome Project, completed in 2003 by an international consortium, is considered one of the most important achievements for mankind in the 21st century [...]

The Human Genome Project

1993 ◽  
Vol 36 (3) ◽  
pp. 466-475 ◽  
Author(s):  
BELINDA J. F. ROSSITER ◽  
C THOMAS CASKEY
Keyword(s):  
Human Genome ◽  
Human Genome Project ◽  
Genome Project ◽  
The Human Genome Project
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