PERSONAL GENOME SEQUENCING BI 420 Introduction to Bioinformatics
PERSONAL GENOME SEQUENCING BI 420: Introduction to Bioinformatics Department of Biology, Boston College
CHARTING A COURSE FOR GENOMIC MEDICINE FROM BASE PAIRS TO BEDSIDE Nature Volume: 470, Pages: 204– 213 Date published: (10 February 2011)
Genomic achievements since the Human Genome Project. ED Green et al. Nature 470, 204 -213 (2011) doi: 10. 1038/nature 09764
The essence of genomics • Comprehensiveness • Scale • Technology development • Rapid data release • Social and ethical implications
Imperatives for genomic medicine • Making genomics-based diagnostics routine • Defining the genetic components of disease • Comprehensive characterization of cancer genomes • Practical systems for clinical genomic informatics • The role of the human microbiome in health and disease
Bioinformatics and Computational Biology • Data analysis • Data integration • Visualization • Computational tools and infrastructure • Training
Education and Training • Primary and secondary education • Public outreach • Healthcare providers’ genetic competencies • Next generation of genomic researchers
Genomics and society • Psychosocial and ethical issues in genomics research • Psychosocial and ethical issues in genomic medicine • Legal and public policy issues • Broader societal issues
Schematic representation of accomplishments across five domains of genomics research E D. Green et al. Nature 470, 204 -213 (2011) doi: 10. 1038/nature 09764
Ethics Issues Discussion • Pros and Cons of Personal Genome Sequencing Comparative example: nuclear power Pros: plentiful energy source. Military existence has reduced ground-based war Cons: destructive pollutant. Long cleanup time.
Some Companies and Specialized Organizations
23 andme
23 andme approach SNP chip. Problem: no legal standards for information
Navigenics SNP chip approach; Works through physicians http: //www. navigenics. com
Navigenics approach SNP chip. Problem: no legal standards for information
KNOME Knome interprets human genomes for pharmaceutical and clinical researchers.
Knome approach Bioinformatics analysis service. Multigenome analysis. Also provide sequencing. Issue: how much value do they provide?
PERSONAL GENOMES Academic group at Harvard Med Goal: allow individuals to volunteer their DNA for the purpose of datamining.
Personal Genomes Research organization. Personal issues: is it a good idea to give up your DNA even anonymized? Analogy: Facebook information. How private can it possibly be? Or should we relax our standard for privacy?
An Agenda for personalized Medicine Nature 461, 724 -726 (8 October 2009)
Comparison of disease predictions of 23 andme and navigenics
Results 5 individuals surveyed Significant disagreement in risk for many diseases
Conclusions Recommendations: • Monitor behavioral outcomes. • Carry out prospective studies with hundreds to thousands of individuals. • Replicate associations in other ethnicities. • Sequence instead of genotype.
Ethics guidelines
Genetic Nondiscrimination Act of 2008 The Act prohibits group health plans and health insurers from denying coverage to a healthy individual or charging that person higher premiums based solely on a genetic predisposition to developing a disease in the future. The legislation also bars employers from using individuals' genetic information when making hiring, firing, job placement, or promotion decisions. Issues: reasonable enforcability, data availability, indirect use, accuracy of disease prediction
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