Unit 4 Flashcards
(25 cards)
Why do we need genetic studies?
-Chen, L23
- Predict development of dieases
- Better understand disease mechanisms
- Improve successful rate of drug development
- Facilitate precision medicine
What are the differences between monogenic and polygenic (complex) diseases?
-Chen, L23
Menelian:
- mostly early onset
- high penetrance
- known pattern of inheritance (ex: autosomal dominant)
- low enviornmental input
Complex:
- mostly late onset
- low penetrance
- some familial, but mostly sporadic
- moderate/high enviornmental input
Why are animal models important?
-Chen, L23
- Genetic and environmental controls that would not be possible in humans
- Ability to get tissues that you cannot collect in humans
- Genetic and phenotypic similarity of humans
- Preclinical studies
Using mice to identify genes involved in complex traits/diseases
-Chen, L23
- Strains of interest selected
- Mouse crosses performed
- Genetic regions controlling traits/disease identified
- Underlying gene identified
Types of crosses: incross, outcross, backcross, intercross (image)
Different types of mouse models that can be used
-Chen, L23
Inbred strains
- Brother-sister mating or >20 generations.
- Result: more than 99.9% of genome identical
- Classical inbred strains derived from pet mice
- Wild-derived inbred strains derived from wild mice
Outbred stocks
- Genetically undefined
- Useful when precise genotype isn’t important
- Useful as pseudopregnant or foster mothers
Derivatives on inbred strains
-
Coisogenic strains
- If mutation of gene occurs within an inbred strain, mutant animal differs at only one locus from non-mutant animals of same strain
- Mutations can be spontaneous, induced, or generated through genetic manipulation approaches
- KO mice genearted using ZFN, TALEN, or CRISPR
-
Congenic strains
- Donor genomic region of interest –> recipient strain
- Can be used to confirm the genetic region affecting the phenotype
- Once a congenic is created, have model for physiological testing
- KO mice generated using backcrossing to transfer KO allele to a different inbred strain
-
Consomic strains
- Donor chromosome –> recipient strain
- Used to quickly identify chromosome that plays a role in a phenotype
-
Conplastic strains
- Donor mitochondrial genome –> recipient strain
-
Recombinant inbred animals
- Conventional recombinant inbred (RI) strains formed from initial cross between two different strains followed by an F1 intercross and 20 generations of brother-sister mating
- Contain blocks of genome from each parental strain on each chromosome
-
Collaborative cross strains
- “next generation” recombinant inbred strains
- Mixes up genome from eight inbred strains and then create 1,000 inbred lines
- Experimental model system that more accurately reflects the genetic structure of human populations
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Mouse genetic mapping approaches for compex traits
-Chen, L23
First need to select strain of interest and then perofm mouse crosses if needed (see image)
Using genetic markers for genetic mapping
- Identify marker (SNP) correlated with phenotype
- Gives region causal gene is likely located
LOD score plot
- Test to compare the likelihood that two loci are linked vs the likelihood that the two loci are unliked
- Is the genetic marker correlated with the causal region?
To confirm: make congenic strain. Move implicated region to recipient strain.
Then make subcongenic strains to further define the region. If this is a no go, there could be two genes within congenic strains.
Using consomic strains
Genetic mapping using recombinant inbred strains
- Phenotype can be repeatedly analyzed using mice with the same genetic background
- Genotype needs to be analyzed only once for each line
- Can be backcrossed to the parental strains to further define the region of interest
Genetic mapping using CC mice
- Over 38M genetic polymorphisms identified among the 8 CC founder strains
- Marker based statistics: genotype marker
- 8-allele models: consider what founder strain it came from
Approaches used to identify the underlying gene for complex traits/disease: from a region to a gene.
- Literature search for plausible biological candidates.
- Chen, L24
Mouse genome informatics
- used to identify genes within a region
- can see info on gene - does it relate to phenotype of interest?
Approaches used to identify the underlying gene for complex traits/disease: from a region to a gene.
- Expression and sequence analyses can be used to identify candidate genes within a genetic region important for a trait/disease
- Chen, L24
Genetic polymorphisms can affect a genes function by introdcuing an amino acid change, splicing site, or premature stop codon. Can also affect expression level by altering promoter, enchnacer, non-coding RNA, mRNA/protein stability, or introducing large deletion.
Sequencing performed by sanger sequencing or next-generation sequencing (NGS)
When you identify a polymorphism, look for variants within regulatory regions/splice sites/evolutionarily conserved regions, deletions/insertions, aa changes that change protein function.
Gene Expression Profiling: measuring difference between expressed genes between cells or tissues. Can identify pathways/genes involved in disease. Identification of potential candidate disease genes.
Determine transcript abundance
- quantitative RT-PCR
- gene expression arrays
- RNA sequencing - whole transcriptome analysis
Expression quantitative trait loci (eQTL) analysis
- the discovery of genetic polymorphisms that explain variations in gene expression
- consider the expression of a gene as a trait (a phenotype)
- cis-eQTL - position of the eQTL maps near the physical location of the causal gene (about 1 Mb upstream/downstream)
- trans-eQTL - position of the eQTL does not map near the physical location of the causal gene (even on a different chromosome!)
Approaches used to identify the underlying gene for complex traits/disease: from a region to a gene.
- Strategies that are available to verify a candidate gene once identified
- Chen, L24
Rodent knock-out and knock-in models
- Embryonic stem cells
- Zinc-finger nucleases, TALENS, CRISPR/Cas9
In vitro assays
- case to case
- If enzyme, can potentially make recombinant protein to change enzyme back and see if that affects function
Q: You are interested in identifying the genetic basis of blood pressure using mouse inbred strains. Houw would you identifiy chromosomal regions that control blood pressure? Please include the selection of inbred strains, the type of mouse crosses, and the basis of using genetic markers to identify the chromosomal regions associated with blood pressure.
Q: Using the above described approach, you have successfully identified a 50 Mb region on chromosome 1 that can control blood pressure. However, there are 750 genes in this region making it difficult to identify a candidate gene for further testing. What mouse breeding approaches can you use to futher narrow down the region to reduce the number of potential candidate genes?
Q3: You have successfully reduced the region linked to bp on chromosome 1 to a 5 Mb interval containing 30 genes. What approaches would you use to identify a candidate gene that controls bp before a knock-out or knock-in method is considered. Please describe at least two methods that can be used to identify candidate genes.
Q1
- Screen inbred strains for high BP and low BP
- Outcross high BP x low BP
- Backcross F1 with low BP inbred strain
- Screen offspring for high BP phenotype
- Use QTL analysis to identify which SNPs correlate with high BP - determined by LOD score
- To confirm: make congenic strains by moving region of interested into recipient strain.
Q2:
- Make subcongenic strains
- Cross congenic strain x low BP inbred strain. Backcross F1 with low BP inbred strain (see image)
- Screen BP
Q3: 1) Use bioinformatics to look at sequence differences between high BP inbred strain and low BP inbred strain in the 30 genes. With the genes containing sequence variability, use ‘mice genome informatics’ to search described functions. Begin by making knock-outs of genes described to have functions related to BP.
2) Look for up/down regulated genes within region of interest by using qRT-PCR or gene expression arrays as disregulation can contribute to disease.
Q: Describe expression quantitative trait loci (eQTL) analysis.
Q: What is the difference between cis and trans eQTL?
Q: Why is the cell type important for eQTL analysis?
Q: How can eQTL analysis help identify underlying genes for complex traits?
An eQTL is a locus that contributes to genetic variance of a gene expression phenotype. In eQTL analysis, gene expression is associated with genetic variation markers.
cis and trans eQTL refer to proximity of the marker to the gene they regulate. cis eQTLs are 1 Mb upstream/downstream of the gene. trans eQTLs are not located near the gene - they can even be on other chromosomes!
Gene expression varies cell-cell. Need to make sure variance in gene expression is corrleated with the disease and not an artificat of cell-type.
Expression data from eQTL analysis can be used to identify genes and pathways whose disregulation contributes to disease.
How can we use genetic markers to map genes contributing to human traits and diseases?
-Chen, L25
Linkage and association studies
- Linkage studies: correlate the inheritance of genotype with phenotype
- Association studies: correlate the presence of genotype with phenotype
- Biased approach: test candidate genes based on what is known of the disease and the hypotheses of the mechanism
- Unbiased approach: scan whole genome for evidence of loci that cause the disease phenotype
Linkage disequilibrium (LD): nearby loci are in LD when recombination events occur between them very infrequently.
- D’: inversely related to the fraction of chromosomes that have had historical recombination between them
- r^2: correlation between two markers across chromosomes within a population
- Haplotype: set of DNA variations or polymorphisms that tend to be inherieted together
- DNase I hypersensitivity peak: suggests reguatory region
Genome wide association studies
- Markers scanned across genomes of many people to find genetic variations associated with a particular disease
- Uncovers risk factors in an unbiased way - finds novel biological mechanisms and pathways
- 4 parts:
- 1) select large population of individuals with disease and suitable comparison group
- 2) DNA isolation, genotyping, and data review to ensure high genotyping quality
- 3) Statistical tests for associations between the SNPs passing quality thresholds and the disease/trait
- 4) Replication of identified associations in an independent population sample or examination of functional implications experimentally
Hardy-Weinberg equilibrium and its application
-Chen, L25
If now evolution is occuring, then an eqilibrium of allele frequencies will remain in effect in each succeeding generation of sexually reproducing individuals
p = frequency of allele A1 in the population
q = frequency of allele A2 in the population
p2 = percentage of A1A1 homozygous indiviaul
q2 = percentage of A2A2 homozygous individuals
2pq = percentage of A1A2 heterozygous individual
p+q=1
p2+2pq+q2 = 1
What’s next after GWAS?
-Chen, L26
Fine mapping to identify causal genes
Genotype-phenotype analysis
Testing candidate genes in animal models and humans cells
How can we utilize the results from GWAS?
-Chen, L26
Prediction
Drug target
Q: What is a case control genome wide association study, how is it performed, and h9ow do we determine the regions identified by the associated SNP markers?
-Chen, L25
Identifies SNPs associated with disease by genotyhping many SNPs of individuals with the disease (case) and without the disease (control).
4 parts:
- Selection of individuals with and without the disease
- Genotyping of many, many SNPs
- Statistics to determine which SNPs are associated with the disease
- Replication of identified associated SNPs in independent populations and/or functional assays of identified associated regions.
Q: In a two-allele autosomal system, alleles A and a have frequencies p and q respectively. What are the frequencies of genotypes AA, Aa, and aa if the population is in Hardy-Weinberg equilibrium?
Q: If the frequency of an autosomal recessive diease is 1/10,000, what is the frequency of disease carriers (heterozygous for the mutation) in the general population assuming in Hardy-Weinberg equilibrium?
Q1:
p2 + 2pq + q2 = 1
p + q = 1
AA = p2
Aa = 2pq
aa = q2
Q2: q2 = 1/10,000 so q = 0.01
1-0.01 = 0.99 so p = 0.99
frequency of carriers = 2pq so (2)(0.99)(0.01) = 0.0198
List general criteria for therapeutic drug monitoring (TDM)
-Gunsolus, L28
Therapeutic drug monitoring (TDM) is the clinical practice of measuring specific drugs at designated intervals to maintain a constant concentration in a patient’s bloodstream, thereby optimizing individual dosage regimens. It is unnecessary to employ TDM for the majority of medications, and it is used mainly for monitoring drugs with narrow therapeutic ranges, drugs with marked pharmacokinetic variability, medications for which target concentrations are difficult to monitor, and drugs known to cause therapeutic and adverse effects.
- Narrow therapeutic index (TD50/ED50)
- toxic dose/effective dose
- Defined therapeutic range and toxic threshold
- Concentration of drug in blood correlates with therapeutic/toxic effect
- The dose and concentration of of the drug in blood correlate poorly
- Series consequences if under-or-over dosed
- Significant inter-individual variation
- Knowledge of drug concentration in blood influences management
Identify commonoly monitored drugs
- anti-epileptics
- anti-fungals
- immunosuppressants
- antibiotics
- psychiatric
Describe pharmacokinetics and pharmacogenetics
-Gunsolus, L28
Pharmacokinetics: studies effect of the body on the drug
- CLADME: compliance, liberation, absorption, distribution, metabolism, excretion
Pharmacogenetics: studies association of specific gene variants with changes in pharmacokinetics and/or pharmacodynamics
- Describe factors that affect drug efficacy
- individual metabolism
- protein binding
- Identify gene-drug pair candidates for pharmacogenetic monitoring
- Codeine (prodrug) –> morphine by CYP2D6
*
- Codeine (prodrug) –> morphine by CYP2D6
Q: What does the field of pharmocogenetics study?
association of gene variants with pharmacokinetic changes
Q: List 3 factors that influence drug pharmacodynamics and pharmacokinetics
1) pharmacogenetic factors
2) body fluid distribution
3) patient’s pathological state
Q: In pharmacogenetics, the concepts normal, poor and intermediate drug metabolizer describe
metabolic phenotypes
Q: The analgesic codeine is a pro-drug converted to its active metabolite morphine by the enzyme CYP2D6. What effect will codeine have in an individual with a CYP2D6 variant characterized as non-functional?
Lack of analgesic efficacy
Q: A sample is collected from a patient hypersensitive for the anticoagulant warfarin and targeted testing for CYP2C9 and VKORC1 follows. What can be concluded if no variant is identified?
None of the interrogated variants were detected