33441 - The New Biology: From Science in the Modern World...

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Unformatted text preview: The New Biology: From Science in the Modern World to the Genetics of Diabetes Gilbert S. Omenn, M.D., Ph.D. University of Michigan, Ann Arbor, MI, USA SuperCourse of Science Conference 6 January 2009 Bibliotheca Alexandrina, Egypt A Call for Renewal of Science in Muslim Countries Our Muslim forefathers first held up the torch of rationality, tolerance, and advancement of knowledge throughout the Dark Ages of medieval Europe. [astronomy, math, chemistry] Ibn Al-Haytham (10th C) laid down rules for the scientific method of observation, experiment, and search for truth. Ibn Al-Nafis (13th C) emphasized respect for contrarian views to be tested with evidence. Then came Taqlid. Science requires freedom to enquire, challenge, think, and envision the unimagined. --Ismail Serageldin, SCIENCE 8-08-08 Education is the most powerful weapon which you can use to change the world. Nelson Mandela The Bibliotheca Alexandrina A beacon and compass for science, education, and peace in the Muslim world and the broader developing world An institution with a stunning legacy, magnificent architecture, a splendid leader, fully digitalized resources, and remarkable, diverse initiatives, including--among many others---the SuperCourse of Science. A leading force for cooperation and collaboration among equals between North and South. Europe: Investing in Intelligence "Research and innovation are the main keys to Europe's development. They are also the most efficient way to respond to the challenges set by Asia's large emerging economies and to lay the foundation for sustainable development for the entire planet." ---Nicolas Sarkozy 14 May, 2008 FRONTIER SCIENCE AND GRAND CHALLENGES: INVESTING IN HIGHPOTENTIAL INDIVIDUALS AND HIGHPAYOFF SCIENTIFIC FIELDS Gilbert S. Omenn University of Michigan French Presidency of the EU Symposium Celebrating Frontier Science Paris, 7 October, 2008 Kudos to the EU on the Launch of the Frontiers of Science Program Investments in young scientists and their individual investigator-initiated projects Sufficient funding to make a difference High standards The "Ideas Program", complementary to the 7th Framework cooperative networks Congratulations to those honored today The rest of the world has noticed! Grand Challenges for S&T and Society 1. Pursue the unknowns in each scientific discipline from math to biology to education. 2. Mobilize multidisciplinary research and development for food security, energy, health, green chemistry. 3. Combine S&T with political will and social purpose to overcome poverty and hunger, scarcity of water, and climate change, for sustainable economic development. --G.S. Omenn, SCIENCE 15 Dec 2006 Obama Statement on Science Saturday December 13 announcement of Presidential Science and Technology Adviser John Holdren, Co-Chairs of President's Committee of Advisers on Science and Technology (PCAST) genetics pioneers Harold Varmus and Eric Lander, and ecologist Jane Lubchenco Affirmation of the importance of science Commitment to integrity of review of scientific issues--expect support for stem cell research, teaching of evolution, and control of greenhouse gases/climate change. U.N. MILLENIUM DEVELOPMENT GOALS These goals for peace, security, development, human rights and fundamental freedoms (1990 to 2015) are peoplecentered, time-bound, and measurable. 1. 2. 3. 4. 5. 6. 7. 8. Eradicate extreme poverty (<$1/day; 1 billion people) and hunger--by 50% Achieve universal primary education for boys and girls Promote gender equality and empower women Reduce child mortality rate before age 5 by 67% Improve maternal health--reduce mortality ratio by 75% Combat HIV/AIDS, malaria and other diseases---begin to reverse incidence and spread Ensure environmental sustainabiity--50% reduction in those without safe drinking water Develop a global partnership for development GRAND CHALLENGES IN GLOBAL INFECTIOUS DISEASES (7 Goals, 14 Challenges)--Gates Foundation Improve childhood vaccines (3) Create new vaccines (3) Control insects that transmit agents of disease (2) Improve nutrition to promote health (1) Improve drug treatment of infectious diseases (1) Cure latent and chronic infection (2) Measure health status accurately and economically (2) It's a New World in Life Sciences New Biology---New Technology Genome Expression Microarrays Comparative Genomics, Epigenetics, miRNA Gene Regulation Proteomics, incl alternative splice isoforms Bioinformatics Systems Biology Path to predictive, personalized, preventive (P3) healthcare Biology as an Information Science: Historical Milestones The molecule of inheritance is DNA, not protein: 1944 The Watson-Crick double-helix model of DNA permits transcription and replication and mutations: 1953 46, not 48, human chromosomes: 1956 The triplet code for proteins demonstrated: 1960 The principle of "unity in diversity" applies to all living things---at all levels from molecules to cells to organ functions to ecosystems Systems biology combines the digital code of genetics with environmental and behavioral inputs and perturbations (Leroy Hood) Latest: Synthetic Biology (George Church) The DNA Pioneers The Historic Weekend of Feb 15-16, 2001 U.S. Leaders of the Human Genome Project Eric Lander J. Craig Venter and Francis Collins Ari Patrinos Protein DNA Avalanche of Genomic Information The International HapMap Consortium aims to genotype 1 million SNPs from 270 individuals. Direct associations of individual SNP alleles with disease phenotypes (including linkage disequilibrium, LD) are more powerful than linkage-based indirect association analyses. dbSNP has >10 million validated SNPs. Haplotype structures can be obtained via genome-wide LD, haplotype blocks (1 KB to 1 MB), and haplotype-tagging SNPs, respecting recombination hotspots and variable LD. ESTIMATED COSTS OF GENOTYPING When Human Genome sequence published in 2001, along with 10M common SNPs identified, proposed case/control studies of 1000 + 1000 participants with 20B genotypes @ $0.50 had cost estimate of $10B. HapMap brought cost of 300,000 tagging SNPs @ $0.003 to $2M per common disease (5000x decrease in 4 years). Now we have even more powerful analyses with "next-generation sequencing of the genome" Computational muscle: "Skate where the puck is gonna be" (Gretzky) in planning big studies A Golden Age for the Public Health Sciences Sequencing and analyzing the human genome is generating genetic information that must be linked with information about: Nutrition and metabolism Lifestyle behaviors Diseases and medications Microbial, chemical, physical exposures Every discipline of public health sciences needed. NIH National Centers for Biomedical Computing Physics-Based Simulation of Biological Structures (SIMBIOS) Russ Altman, PI National Center for Integrative Biomedical Informatics (NCIBI) Brian D. Athey, PI Informatics for Integrating Biology and the Bedside (i2b2) Isaac Kohane, PI National Alliance for Medical Imaging Computing (NA-MIC) Ron Kikinis, PI The National Center For Biomedical Ontology (NCBO) Mark Musen, PI Multiscale Analysis of Genomic and Cellular Networks (MAGNet) Andrea Califano, PI Center for Computational Biology (CCB) Arthur Toga, PI Multi- and Interdisciplinary Research will be Required to Solve the "Puzzle" of Complex Diseases and Conditions--such as Diabetes Genes Behavior Diet/Nutrition Infectious agents Environment Society ??? 44,000 Faculty 3500 Universities 174 Countries Supercourse Mirror Sites 42 Mirrored Sites, MOH Egypt, Sudan, China, Mongolia, Russia EastWest Collaboration A.Husseini (Birzeit University, West Bank): "Diabetes in the Arab World", from the SuperCourse Prevalence Estimates of Diabetes in selected Arab CountriesE> 20 Years old in the Year 2025 s Dev Countries/World/Tunisia/Oman/Saudi Arabia/Egypt t i m a t e s o f D i a b e t e s n c e Estimates Genetics of Diabetes and Its Complications: Layers of Complexity Craig L. Hanis, Ph.D., University of Texas at Houston; delivered at Univ Pittsburgh, 23 October, 2001 #1 ranked "Genetics and Diabetes" lecture at www.pitt.edu/~super1/ Rising Interest in the Genetics of Diabetes and Its Complications 350 P u b l i c a t i o n s 300 250 200 150 100 50 0 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 A Brief History of the Genetics of Diabetes Nightmare Headache Heterogeneity Complexity Disequilibrium Linkage Interactions Complex Inheritance Model Free Linkage Approaches Affected Pairs Concordant Sib Pairs Discordant Sib Pairs Association Based Mapping Transmission Disequilibrium Testing Parent - Offspring Trios (pairs) Traditional Associations SNP-based mapping Fine Mapping Ultimately a search for association of disease with single-nucleotide polymorphisms (SNP) Criteria for selecting samples Affected/Unaffected Segregating/Non-segregating Haplotype Determination enhanced by pedigrees? Type 2 Diabetes in 3 Ethnic Groups P r e v a l e n c e 70% 60% 50% 40% 30% 20% 10% 0% 35-44 45-54 55-64 65-74 75+ Age Category Pima Indians Starr County USPHS Genome-Wide Association (GWA) Studies GWA studies represent a systematic search with nucleic acid probes (chips) for variants in the genome statistically associated with particular diseases or traits. "Next-generation sequencing" is replacing chip arrays. Only 2% of the DNA codes for protein products, so few of these variants actually occur in such coding genes, but they may still influence regulation of gene function. Tremendous investment and output past several years has transformed the genetic side of molecular epidemiology, but neglected non-genetic variables Variants give clues to unsuspected genes and pathways potentially involved in diseases like diabetes mellitus. I focus rest of the lecture on genomics and diabetes, as a bridge to the WHO course starting today on Epidemiology of Diabetes. First GWA Studies for T2DM In 2007, five GWA studies were reported: They replicated earlier evidence for three genome variants: TCF7L2, PPARG, and KCNJ11. They identified at least six additional variants in or near these loci: SLC30A8, IGF2BP2, FTO, HHEX-IDE, CDKAL1, CDKN2A-CDKN2B. Only one (SLC30A8) is a likely functional variant at the protein level. Variants in FTO are associated also with body mass index. Interpretation of GWA Studies of Type 2 Diabetes These studies are unbiased by previous hypotheses of predisposing genes The results are limited by modest effects and need for stringent statistical thresholds and very large sample sizes. The largest allelic OR for any established variant is <= 1.35 for TCF7L2; at least nine others (now about 20) have OR 1.1-1.2. The aggregate attributable risk is <10 percent. Common variants at multiple loci have modest but reproducible association with risk of T2DM. Three studies combined (DGI, FUSION, WTCCC): 10,128 individuals of European descent; 2.2 million SNPs genotyped/extended with imputed SNPs from haplotype variation Used both Affy 500K and Illumina 317K chips Tried to replicate findings analysis for 11 variants with p<10-5 with 53,975 samples Found at least six more previously unknown loci: JAZF1, CDC123-CAMK1D, TSPAN8-LGR5, THADA, ADAMTS9, NOTCH2. The first three are probably associated with insulin release. Meta-Analysis of GWA Data for Susceptibility Loci for Type 2 Diabetes [Zeggini et al, Nature Genetics 2008] Complementary Strategy: GWA Studies of Risk Factors for T2 Diabetes [Mohlke et al, Hum Mol Genetics 2008] Classic genetic epidemiology studies estimate genetic effects explain 25% of variance for 20 measures of cardiovascular function, 51% for five anthropologic measures, and 40%s for 38 blood tests, including cholesterol and metabolism. They reviewed GWA studies of >200,000 SNPs that reported at least one SNP exceeding statistical significance threshold of p<5x10-8 for cholesterol and lipid levels, obesity, myocardial infarction, or coronary heart disease. Cholesterol, Lipoproteins, Lipids and CRP [Mohlke et al, Hum Mol Genetics 2008] Glucokinase regulator (GCKR) initially associated with triglycerides Then with HDL-C, LDL-C, TG and 11 additional previously reported SNP variants and 7 new loci SNPs near SORT1-PSRC1-CELSR2 loci were associated with LDL-C; a SNP explained 5886% of the inter-individual variability in transcript levels for these three neighboring genes. 7 variants are associated with C-reactive protein levels, including CRP itself, APOE, leptin receptor, and HNF1 homeobox A (HNF1A). Fat Mass and Obesity Genes A 2005 review cited 127 gene candidates and 253 quantitative trait loci reported from linkage studies of obesity. Hardly any were confirmed. In 2007 two independent GWA studies identified obesity-associated variants in the first intron of the FTO gene; now replicated many times. FTO encodes a 2-oxoglutarate-dependent nucleic acid demethylase whose relation to obesity or BMI is not yet understood. Informative Heterogeneity The initial association of FTO with diabetes was not replicated in several well-powered GWA studies. Whether or not FTO turns up in T2DM GWA studies depends entirely on the inclusion criteria for cases--if obese individuals are excluded, as in the GWA studies above, FTO is not associated; if they are included, FTO is associated (indirectly) with T2DM. Obesity and MC4R (chromosome 18q21) Two recent large GWA studies for obesityrelated traits identified associated SNPs near the melanocortin-4 receptor (MC4R) gene. This receptor is a major target in drug development for obesity. Mutations in MC4R can produce a rare extreme form of childhood obesity. BMI, insulin resistance, and waist circumference were associated with these variants 188 kb downstream of MC4R. What is actually happening with these allelic substitutions is unknown, but under investigation. Together FTO and MC4R account for only 1.2 kg/m2 variation in BMI in adults. Other Quantitative Metabolic Variables For fasting glucose level, there are common sequence variants in glucokinase (GCK) promoter and in islet-specific glucose-6-phosphatase, catalytic 2 (G6PC2). Uric acid levels are associated with variants at solute carrier/glucose transporter SLC2A9. Surprisingly, none for high blood pressure or systolic or diastolic blood pressures. Evidence for Association of T2DM with Several Traits on Chromosome 9p21: SNPs in 10,128 GWA samples. Arrows = locations of SNPs. Black bars = recombination hotspots. Genes and transcripts at the bottom. Stature/Height--Heritability >0.8 [Sanna et al and Lettre et al, Nature Genetics 2008] Body mass index comprises height and weight measures. Several rare mutations are definitely associated with height in Mendelian syndromes Common variants in transcription factor HMGA2 are associated with height in the general population. GWA studies from Finland and Sardinia reveal an association of osteoarthritis-associated locus GDF5UQCC---perhaps through bone growth [Sanna et al] With six populations, 10 additional loci have now been associated [Lettre et al], and the two above confirmed; however, together they (and others) account for just 2 percent of population variation in height. They do expand our ideas of biological regulation of height. Classic Approach of Detecting Large-Effect Rare Mutations Three of the T2DM-associated variant loci were actually discovered through analysis of the heterogeneity of the disorder Rare Mendelian mutants of KCNJ11, WFS1, and HNF1B can cause diabetes, including MaturityOnset Diabetes of the Young. These variants have been confirmed repeatedly by GWA. Their potential pathways relevant to diabetes biology are shown in next slide. Rare or small-effect loci may still be clues to underlying pathophysiology and targets to treat. Copy-number variants are also missed in GWA studies. Processes involved in genetic predisposition to type 2 diabetes, based on the best candidates within each signal and human physiological studies. Most genes implicated in diabetes susceptibility act through effects on beta-cell function or mass. [McCarthy and Hattersly, 2008] Resources to Keep up with Field U.S. NIH (NCI-NHGRI) maintain an ongoing catalog of published genome-wide association studies There are many databases of gene sequences and variants, and protein variants to assist in annotation of the potential biological roles of variants in or near mapped genes. Statistical compendia for tests and adjustments for bias due to selection, misclassification, and population stratification are established; see McCarthy et al, Nature Reviews/Genetics 2008. GWAS Graphical User Interface: graphical browser [Chen et al, Bioinformatics 2008] Special Challenges & Opportunities in Muslim Countries Nearly all GWA studies have been performed on Causasians of European origins. It is very likely that different variants will be important in African and Asian populations, so population-based studies of the kind recently initiated here for cardiomyopathy would be expected to yield interesting and useful findings. General Challenges and Opportunities for Diabetes Epidemiologists This explosion of new findings about potential genetic predispositions to Type 2 Diabetes, and analogous findings for T1 Diabetes, explains only a modest aggregate proportion of risk explained by the genetic variants (<10%). More and larger GWA and re-sequencing studies will find more variants, probably of smaller and smaller effect. The big effects are almost surely to be found among non-genetic variables (environmental, behavioral, dietary), as in our early diagram--and in gene-environment interactions. KEY COMPONENTS OF THE VISION An avalanche of genomic information: validated SNPs, haplotype blocks, candidate genes/alleles, proteins, & metabolites--associated with disease risk Powerful computational methods Effective linkages with better environmental and behavioral datasets for eco-genetic analyses Credible privacy and confidentiality protections Breakthrough tests, vaccines, drugs, behaviors, and regulatory actions to reduce health risks and cost-effectively treat patients in the US and globally. Getting Ahead of the Science: Personalized Genomics 23andme.com is a company in California, offering: Disease Risks: premature--genome variants associated with various diseases, but very little of the attributable risk known Ancestry testing: Good--Haplotypes tied to population origins (Africa, Europe, Asia) Geneology/family roots: Good, using Y chromosome and mitochondrial DNA Synthetic Biology, an Emerging Field Interdisciplinary science and engineering to design and build novel biological functions and systems to: Gain insights into what makes life tick, constructing genetic circuits to achieve what nature evolved over eons Develop powerful biotechnologies by integrating biological components, circuits and replicating organisms Applications: Engineered microorganisms that produce drugs Biosensors for detecting abnormalities and diseases Microorganisms that convert renewable resources into energy carriers Microorganisms to remediate hazardous material contaminated sites--"environmental biotechnology" Safety regimens will be critical. Engineering Life: Building a FAB for Biology The BIO FAB Group: David Baker, George Church, Jim Collins, Drew Endy, Joseph Jacobson, Jay Keasling, Paul Modrich, Christina Smolke and Ron Weiss (Scientific American 2006) BIOLOGICAL COMPONENTS are the basis of an approach to biotechnology modeled on electronics engineering. Principles and practices learned from engineering successes, especially standardization of parts and automation of processes can help transform biotechnology and "genetic engineering" from a specialized craft into a mature industry. Pierre Teilhard de Chardin 1881-1955 The future belongs to those who give the next generation hope. "There are those who look at things the way they are, and ask, why?... I dream of things that never were, and ask, why not?" --Robert F. Kennedy (1968) ...
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