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Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond
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Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Jan 23, 2016

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Page 1: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Chapter 16:

Genome Analysis: DNA Typing, Genomics, and

Beyond

Page 2: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Some scientists said there was no reason to do it [The Human Genome Project] over 15 years. Why not do it over 25? One important reason is that if you did it over 25 years, most of the experienced scientists involved in it might be dead, at least mentally, by the time it was finished… Most people like to do things where they can see the results.

James Watson, Genetics and Society (1993), p. 18.

Page 3: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

16.1 Introduction

Page 4: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Levels of genome analysis range from personal identification to comparative analysis of entire genomes.

Page 5: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

16.2 DNA typing

Page 6: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• One of the most reliable and conclusive methods available for identification of an individual.

• Technique developed by Alec Jeffrey’s and coworkers in 1985.

• First called “DNA fingerprinting,” now called “DNA typing.”

Page 7: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Applications of DNA typing

• Establish paternity and other family relationships.

Page 8: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Identify potential suspects whose DNA may match evidence left at a crime scene.

• Exonerate persons wrongly accused of crimes.

• Match organ donors with recipients in transplant programs.

• Identify catastrophe victims.

Page 9: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Detect bacteria and other organisms that may pollute air, water, soil, and food.

• Determine whether a clone is genetically identical to the donor nucleus.

• Trace the source of different marijuana plants.

• Identify endangered and protected species as an aid to wildlife officials.

Page 10: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

DNA profiles of marijuana

• DNA profiles generated by amplified fragment length polymorphism (AFLP).

• Used to trace the source of marijuana samples to growers.

Page 11: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• PCR amplification of restriction fragments to which adaptor oligomer sequences have been attached.

• PCR primers recognize adaptors and bind to amplify different sized fluorescently-tagged DNA fragments.

• Detected with a DNA sequencer.

Page 12: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Nonhuman DNA typing

• DNA of protected whales found at Japanese markets

• Incriminating pets

– The case of the Rottweilers’ saliva.

– The case of the hair from Snowball the cat.

Page 13: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

DNA polymorphisms: the basis of DNA typing

• Only about 0.1% of the human genome differs from one person to another.

• With the exception of the human leukocyte antigen (HLA) region, genetic variation is relatively limited in coding DNA.

Page 14: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Less than 40% of the human genome is comprised of genes and gene-related sequences.

• Intergenic DNA consists of unique or low copy number sequences and moderately to highly repetitive sequences.

Page 15: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• The majority of DNA typing systems used in forensic casework are based on genetic loci with minisatellites or short tandem repeats (STRs).

• Analyze multiple variable regions, called polymorphic markers.

Page 16: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• The power of DNA evidence lies in statistics.

• Aim to calculate the probability that only one person in a quadrillion (1015) could have the same profile of markers.

Page 17: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

A variety of DNA technologies are used in forensic investigations:

• Minisatellite analysis• PCR-based analysis• STR analysis• Mitochondrial DNA analysis• Y chromosome analysis• Random amplified polymorphic DNA

(RAPD) analysis

Page 18: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Minisatellite analysis

• Minisatellites are a special class of RFLP in which the variable lengths of the DNA fragments result from a change in the number, not the base sequence, of minisatellite repeats.

• Also known as variable number tandem repeats (VNTRs).

Page 19: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Classic “DNA fingerprinting:” minisatellite analysis with

a multilocus probe

• Unique biological identifier for each individual.

• Essentially constant for an individual, irrespective of the source of DNA.

• Simple Mendelian pattern of inheritance.

Page 20: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Requires relatively large amounts of DNA.

• Does not work well with degraded samples.

Page 21: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Minisatellite analysis with a single-locus probe

• A single-locus probe allows the detection of a single minisatellite DNA locus on one chromosome.

• To increase the sensitivity, 3-5 single-locus probes are mixed in a single-locus “cocktail.”

Page 22: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Polymerase chain reaction-based analysis

• Sufficient DNA can be collected from saliva on a postage stamp or bones from skeletons.

• Even highly degraded DNA can be amplified, as long as the target sequence is intact.

Page 23: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Short tandem repeat analysis

• Currently the most widely used DNA typing procedure in forensic genetics.

• The variability in STRs mainly occurs by slippage during DNA replication, rather than by unequal crossing-over.

Page 24: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Multiplex analysis of STRs

• Simultaneous amplification of many targets of interest in one reaction by using more than one pair of primers.

• The FBI uses a standard set of 13 specific STR regions for CODIS (The Combined DNA Index System).

Page 25: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Example:

• 15 different STRs and a gender-specific marker amplified by PCR.

• One primer in each pair is labeled with a fluorescent tag for 4 color detection.

• Detect PCR amplification products using an automated sequencer.

• Separated by size and detected by color after laser-induced excitation.

Page 26: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Mitochondrial DNA analysis

• Every cell has hundreds of mitochondria with several hundred mtDNA molecules.

• Older biological samples (e.g. strands of hair, solid bone, or teeth) often lack usable nuclear DNA but have abundant mtDNA.

• mtDNA has been successfully isolated from fossil bones.

Page 27: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Analysis by PCR amplification and direct sequencing of two highly variable regions in the D loop region.

• Can only identify a person’s maternal lineage.

Page 28: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Y chromosome analysis

• Y chromosome-specific STRs.

• Paternity testing of male offspring

• Analyzing biological evidence in criminal casework involving multiple male contributors.

Page 29: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Randomly amplified polymorphic DNA (RAPD) analysis

• No knowledge of an organism’s DNA sequence is required.

• PCR primers consist of random sequences.

• e.g. The case of the Palo Verde tree seed pods.

• e.g. Differentiation between Bacillus species.

Page 30: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

16.3 Genomics, proteomics, and beyond

Page 31: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Whereas gene discovery once drove DNA sequencing, now the sequencing of entire genomes drives gene discovery.

Page 32: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

What is bioinformatics?

• Area of computer science devoted to collecting, organizing, and analyzing DNA and protein sequences and all the data being generated by genomics and proteomics labs.

Page 33: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Tools of bioinformatics:

• Locate and align sequences.• Assemble consensus sequences.• Analyze properties of proteins.• Analyze sequence patterns to locate

restriction sites, promoters, DNA binding domains, etc.

• Phylogenetic analysis.

Page 34: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Basic local alignment search tool (BLAST).

• The most commonly used genome tool.

• Example: Search for all the predicted protein sequences that are related to a “query sequence.”

Page 35: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Genomics

• The comprehensive study of whole sets of genes and their interactions rather than single genes.

• Comparative analysis of genomes based on the availability of complete genome sequences.

Page 36: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Proteomics

• The comprehensive study of the full set of proteins encoded by a genome—the “proteome.”

• Protein biochemistry on a “high-throughput” scale.

Page 37: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

The age of “omics” and systems biology

• A whole set of related terms coined to describe the comparative study of databases.

– e.g., transcriptomics, metabolomics, kinomics, glycomics, lipidomics

• Interactomics: the study of macromolecular machines, mapping protein-protein interactions throughout a cell.

Page 38: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Systems biology aims to make sense of all the data arising from the study of biomolecular networks.

• Uses both experimental and computational approaches to model these interactions.

• “Attempts to piece together everything.”

Page 39: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

16.4 Whole genome sequencing

Page 40: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Major milestones in sequencing technology

• Development of automated DNA sequencing.

• Development of the BLAST algorithm.

• Development of bacterial artificial chromosome (BAC) vectors.

Page 41: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Two main genome sequencing methods

• Clone by clone genome assembly approach:

– Used by the publicly funded international sequencing consortium for the human genome.

• Whole-genome shotgun approach:

– Used by the privately funded Celera Genomics Corporation for the human genome.

Page 42: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Clone by clone genome assembly approach

• Restriction fragments of ~150 kb are cloned into BAC vectors.

• A physical map of the genome is produced.• The BAC clones are broken up into smaller

fragments, subcloned, and sequenced.• This places the sequences in order so they can

be pieced together.• Time consuming, but precise.

Page 43: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Whole-genome shotgun approach

• Plasmid clones with 2-10 kb inserts are prepared directly from fragmented genomic DNA.

• Clones are randomly selected for sequencing.• Sequence is reassembled in order with the aid

of a supercomputer.• More rapid, but often results in gaps in the

sequence.

Page 44: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Rough drafts versus finished sequences

• “Rough draft” of the human genome reported in 2001 by the publicly and privately funded groups.

• “Finished” sequence reported in 2004.

• More accurate and complete, but still contains some gaps.

Page 45: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Annotation of a sequenced genome is an in-depth analysis of all functional elements of the genome.

• Much of the emphasis is on the gene content, with the aim of characterizing all of the genes and their functions.

Page 46: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Comparative analysis of genomes

• Sequence and comparative analysis of nonmammalian genomes help to provide unique perspectives on the evolution of anatomy, physiology, development, and behavior.

Page 47: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Prior to the draft sequence, estimated that the human genome contained at least 100,000 genes.

• Current estimate of 20,000 to 25,000 protein-coding genes came as a surprise.

Page 48: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• What makes us uniquely human?

• The answer lies somewhere within the 35 million single-nucleotide substitutions, 5 million small insertions and deletions, local rearrangements, and a chromosomal fusion that distinguish us from the chimpanzee (Pan troglodytes).

Page 49: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Comparative analysis of genomes: insights from pufferfish

and chickens

• Comparative genome analysis allows researchers to assess changes in gene structure and sequence that have occurred during evolution.

Page 50: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Homologous sequences share a common evolutionary ancestry.

• Orthologs are genes in different species that are homologous because they are derived from a common ancestral gene.

• Paralogs are two genes in a genome that are similar because they arose from a gene duplication.

Page 51: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Synteny is conservation in genetic linkage between the genes of distantly related organisms.

• Suggests that the conserved order of loci on a chromosome may be of importance for gene regulation.

Page 52: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Insights from the pufferfish genome

• Comparison of the genome sequence of the pufferfish with that of humans.

• Researchers have deduced that the

extinct ancestor of ray-finned fish and lobe-finned fish had 12 pairs of chromosomes.

Page 53: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Insights from the chicken genome

• Potential for using comparative sequence analysis to map conserved regulatory elements present in the human genome.

Page 54: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

What is a gene and how many are there in the human genome?

Three essential features of a gene:

• Expression of a product.

• Requirement that it be functional.

• Inclusion of both coding and regulatory regions.

Page 55: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• A gene is a complete chromosomal segment responsible for making a functional product.

• How many genes are there in the human genome?

Page 56: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Gene “hunting” or gene prediction computer programs have become much more sophisticated, but no program predicts all genes correctly.

• Some recognize genes by detecting distinctive patterns in DNA sequences

• Others detect new genes based on their similarity to known genes.

Page 57: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• The Encyclopedia of DNA Elements (ENCODE) Project aims to identify all functional elements in the human genome.

• This includes protein-coding genes, non-protein-coding genes, transcriptional regulatory elements, and sequences that mediate chromosome structure and dynamics.

Page 58: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

16.5 High-throughput analysis of gene function

Page 59: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Methods for genome and proteome analysis are called “high-throughput” because the activities of thousand of genes and their products are studied at the same time.

Page 60: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Some classic methods for high-throughput analysis of gene function

• DNA microarrays

• Protein arrays

• MALDI-TOF

• Tandem mass spectrometry

Page 61: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

DNA microarrays

• Analysis of the transcriptional activity of thousands of genes simultaneously.

• Compare transcription programs of cells or organisms during specific physiological responses, developmental processes, or disease states.

Page 62: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Protein arrays

Two common types:

• Analytical protein array.

• Functional protein array.

Page 63: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Analytical protein array

• Monitor protein expression levels.

• Clinical diagnostics.

Page 64: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Functional protein array

• Analyze enzymatic activities, protein-protein interactions, post-translational modifications.

• Drug-target identification.

• Mapping biological pathways.

Page 65: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Mass spectrometry

Two popular strategies:

• Peptide mass fingerprinting using MALDI-TOF.

• Shotgun proteomics using MS/MS

Page 66: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Peptide mass fingerprinting using MALDI-TOF

• Analysis of a single isolated protein.

• MALDI-TOF (Matrix Assisted Laser Desorption/Ionization-Time of Flight) mass spectrometry.

Page 67: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Time of flight is inversely proportional to mass and directly proportional to charge.

• Measurement of the number of ions at each m/z value (mass to charge ratio).

• Computer database: identify protein from which peptides originated.

Page 68: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Shotgun proteomics using MS/MS

• “Interrogation” of an entire proteome.

• Tandem mass spectrometry (MS/MS).

• The process produces a collection of peptide ion fragments that differ in mass by a single amino acid.

• Measurement of mass to charge (m/z) ratios of the fragments allows the amino acid sequence to be read.

Page 69: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

The nucleolar proteome

• Analysis of the nucleolar proteome by shotgun proteomics.

• Group of candidate novel nucleolar proteins identified by mass spectrometry.

Page 70: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Isolate corresponding cDNAs.

• Subclone into YFP expression vectors.

• Observe localization in transfected cells by confocal microscopy.

Page 71: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

16.6 Genome-wide association studies

Page 72: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• All human individuals share genome sequences that are approximately 99.9% the same.

• The remaining variable 0.1% is responsible for the genetic diversity between individuals.

• Most common human traits and diseases have a polygenic pattern of inheritance.

• This means that DNA sequence variants at many genetic loci influence the phenotype.

Page 73: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Genome-wide association studies (GWAS) have identified more than 3000 variants associated with 150 human traits.

• Example: Hundreds of genetic variants in at least 180 loci influence adult height.

• Projects investigating cancer genomes and the genomes of people with diabetes, Alzheimer’s disease, Crohn’s disease, and other disorders are under way.

Page 74: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• This type of meta-analysis screens databases of single nucleotide polymorphisms, or copy number variants, to test for the association of a particular trait with each polymorphism.

Page 75: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Single nucleotide polymorphisms

• Two or more possible nucleotides occur at a specific mapped location in a genome.

• e.g. ATGCCTA or ATGCTTA

Page 76: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• For a variation to be considered a SNP, must occur in at least 1% of the population.

• ~7 million SNPS with an allele frequency >5%.

• ~4 million with an allele frequency of 1 to 5%.

Page 77: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Map of SNPs can be used to scan the human genome for haplotypes associated with common diseases.

– e.g. Late onset Alzheimer’s disease

• Haplotypes are patterns of sequence variation; i.e., stretches of DNA containing a distinctive set of alleles.

Page 78: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Mapping disease-associated SNPs: Alzheimer’s disease

• Two SNPs in the apolipoprotein E gene result in three possible alleles.

• An individual with at least on apo4 (E4) allele has a greater chance of developing Alzheimer’s.

Page 79: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Copy number variants (CNVs)

• Variation in the genome in which entire genes or genomic regions are deleted, duplicated, or rearranged.

• CNVs can affect from one kilobase to several megabases of DNA.

• In some cases CNVs have been linked to disease.

Page 80: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Example: Rare structural variations in genes that affect neuronal development and signaling.

• These CNVs may account for much of the heritability underlying autism.

• Each person with autism may carry a unique set of “autism loci,” but the biological pathways affected by these CNVs are likely to be similar.

Page 81: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• CNVs are also associated with neuroblastoma, Crohn’s disease, and schizophrenia.

• Will these associations stand the test of further research?

Page 82: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Genes polymorphisms and human behavior

Human behavior

• Personality

• Temperament

• Cognitive style

• Psychiatric disorders

Page 83: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Oversimplified model of human behavior

• Direct linear relationship between individual genes and behavior.

More accurate model

• Complex gene networks and multiple environmental factors affect brain development and function, which in turn will influence behavior.

Page 84: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• Heredity definitely plays some role in behavior but DNA is not destiny.

• In general, be wary of announcements in the popular media about scientists finding “the gene” for an aspect of human behavior.

Page 85: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Why is there a lack-of-progress in finding “behavior” genes?

• Behavioral traits are polygenic.

• Gene-environment interactions.

• Behavioral traits tend to be inexactly defined.

• Sample bias.

• Inadequate sample size.

Page 86: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Aggressive, impulsive, and violent behavior

• Family, twin, and adoption studies have suggested heritability of 0% to >50% for a predisposition to violent behavior.

• The case of the “extra” Y chromosome.

• Polymorphism in the transcriptional control region of the monoamine oxidase A (MAOA) gene.

Page 87: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

MAOA functional length polymorphism

• MAOA metabolizes several neurotransmitters in the brain, such as dopamine and serotonin.

• Prevents excess neurotransmitters from interfering with communication among neurons.

Page 88: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

High activity alleles

• Alleles with 3.5 or 4 copies of the repeat sequence are transcribed more efficiently and produce more MAOA enzyme.

Low activity alleles

• Alleles with 3 or 5 copies of the repeat sequence are transcribed less efficiently and produce less MAOA enzyme.

Page 89: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

High activity alleles (3.5 or 4 repeats)

• Less likely to develop antisocial behavior.

Low activity alleles (3 or 5 repeats)

• More likely to develop antisocial behavior if maltreated as children.

Page 90: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

Schizophrenia susceptibility loci

• Severe psychiatric disorder that affects about 1% of the population.

• Twin and adoption studies show the risk of developing schizophrenia is increased among relatives of affected individuals.

• Multilocus model.

Page 91: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

• A number of potential susceptibility loci and CNVs have been described.

• Most evidence for linkage in loci that encode proteins involved in neurotransmission, axon guidance, and cell-cell signaling in the brain.

Page 92: Chapter 16: Genome Analysis: DNA Typing, Genomics, and Beyond

What remains unknown

• The disease risk conferred by each locus.

• The extent of genetic variability.

• The degree of interaction among loci and the environment.