Genome projects
Learning Objectives
Describe genome projects and their applications:
Disease Diagnosis
Personalized Medicine
Agriculture
Discuss social and ethical implications of genome projects (e.g., Human Genome Project)
Smallest and Biggest Genomes
Smallest Genome:
Organism: Rous sarcoma virus
Contains 4 genes or 3,500 base pairs
Needs a host to multiply
Simplest Free-Living Organism:
Organism: Mycoplasma genitalium
Contains 482 genes or 580,000 base pairs
Largest Genome:
Organism: Paris japonica
Contains 149 billion base pairs (>100 meters DNA per cell)
Genome Size vs. Complexity
Increased DNA does not necessarily equate to higher complexity:
Homo sapiens: 3.3 × 10^9 bps (21,000 genes)
Mus musculus: 3.4 × 10^9 bps (23,000 genes)
Amphibians: 10^9 – 10^11 bps
Paris japonica: 1.5 × 10^{12} bps (80% of which is extragenic)
Human Genome Project (HGP)
Definition:
A massive collaborative effort to determine the sequence of DNA in all human chromosomes and identify/map genes
Objectives:
Sequence the full human genome
Identify disease-causing genes for specific treatments
HGP Timeline and Participants
Involved Nations: 18 countries including the US, UK, Japan, France, and Germany.
Start Year: 1990
Completion Year: 2003
Major Contributors: Universities and research centers, privately funded by Celera Genomics
Methodology: Highly automated shotgun sequencing technology
Utilized 300 machines and 50 people along with supercomputers
Draft sequence completed in 9 months
Genome Sequencing Samples
Donor Collection: Blood/sperm from several diverse, anonymous donors
Libraries included two males and three females from varied ethnic backgrounds
Celera’s HGP utilized 5 libraries for genome sequencing
Findings of the HGP
Genome Size: 3.3 billion bps (haploid)
Gene Count: Actual gene count found to be 20,000 – 25,000 genes (less than earlier estimates)
Genes account for only 1.2% of total DNA, remainder is extragenic
Next Steps: Data interpretation to enhance understanding
Spinoff Projects from HGP
Genomic Science Program (GSP):
Studying microbes and plants at cellular/molecular levels for insights into biological processes
1000 Genomes Project:
Aim to sequence genomes of at least 1,000 people to establish detailed human genetic variation catalogue
International HapMap Project:
Developing a haplotype map of the human genome linking DNA variations with health/disease responses
Cancer Genome Anatomy Project:
Focusing on gene expression profiles to improve diagnosis and treatment
Environmental Genome Project:
Investigating how human genetic variations influence disease susceptibility from environmental exposures
Cost of Genome Sequencing Over Time
1990 cost per base = $10
2001 cost per base = $0.10; draft of first human genome (> $3 billion incurred)
Current costs < $300 per individual genome
Historical cost reductions shown in graphical data
Applications of Genomics
In Agriculture:
Using genomic data to enhance crop and livestock quality, yield, and resistance to pests
In Disease Diagnosis:
Genetic tests predicting risk of conditions (e.g., breast cancer)
In Personalized Medicine:
Tailoring treatments based on individual genomic profiles and responses to drugs
Ethical and Social Implications
Psychological impacts and stigmas attached to genetic differences
Concerns regarding the fairness and privacy of genetic information usage
Questions about how genetic data influences individual identities and societal perceptions
Issues around genetic determinism vs. free will and moral/ethical treatment choices
Contemporary Issues in Genomics
Case Study: Angelina Jolie's double mastectomy due to genetic risk for breast and ovarian cancers demonstrates proactive personalized medicine based on genetic testing
Growing concern about the implications of gene editing (e.g., CRISPR technology scandals) and regulation of genetic research
Feel free to expand upon specific areas of interest or add additional details as you study!