Genetics Flashcards

1
Q

Pharmacogenomics – Recent Advances

A

Using gene expression data
• Identify new drug targets in people with a condition of interest • Develop new drugs
• New uses for older drugs
• Treatments for certain diseases
• Cystic fibrosis – identified new drug
• HIV – identify those who may be hypersensitive to a particular drug
• Organ transplant – predict dose requirements for immunosuppression
• Preemptive testing
• Test before you need it, have results when needed

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2
Q

Pharmacogenomics in Nursing Practice

A

• Minimize adverse drug reactions • Ensure appropriate dose for
patient’s genetic profile
• Educate patients & families
• Testing standard of care for more drugs
• May occur preemptively to inform future needs
• Real-world application of precision health

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3
Q

Pharmacogenomics Challenges

A
  • Limited data
  • Limited clinical utility of inconclusive results
  • Do studies identify effects on clinically relevant outcomes?
  • Does pharmacogenomic testing provide valuable information in addition to what is already known from careful clinical assessment?
  • Population studied vs. patients seen
  • We have a diversity problem in genetics
  • Few pharmacogenomic studies identify population(s) studied – likely default is individuals of European ancestry
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4
Q

Breast Cancer

A

Histologic classifications based on genotyping
• Tumor molecular signatures provide critical information for improving
treatment effectiveness
• Commercially available tests (e.g., OncotypeDx)
• Primary clinical impact
• Adjuvant therapy for early stage disease • Identifying HER2 overexpressing cancers
• Challenge – heterogeneity and complexity

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5
Q

Targeted Treatment for Cancer

A
  • Genotype tumor tissue to identify genetic variants in the tumor
  • Develop drugs that target those variants
  • Drugs target different aspects of tumor genetics • Block signals that promote tumor growth
  • Interfere with cell cycle
  • Induce cell death
  • Types of therapy
  • Small molecules
  • Monoclonal antibodies
  • Cancer vaccines
  • Gene therapy - CRISPR silences mutated cell
  • Does not kill normal cells – fewer side effects
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6
Q

CRISPR Cas-9 Gene Editing

A

• Cancer
• HIV
• Gene therapy for single-gene conditions
• Cystic Fibrosis
• Sickle Cell Disease
• Duchenne Muscular Dystrophy
• Modifying epigenetic state
• Change the epigenetic state→change gene
transcription / translation
• Challenges
• Ethical issues
• Cost
• Accessibility
• Duration of change – can it be sustained?
• What if the target sequence is not a unique sequence in the genome – unforeseen consequences

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7
Q

Direct to Consumer Genetic Testing

A

Balancing interest with challenges
• FDA approval required – genetic tests are a type of medical device
• Requires a certified lab
• Who can order the tests?
• What testing is done? How comprehensive is it?
• DTC genetic testing for health conditions
• 23andMe approved for 3 BRCA 1/2 mutations and ~10 other conditions
• Some companies offer testing when ordered by a health care provider
• This can be a provider on staff at the company!
• Limited information, education and counseling …mean patients will bring results to their health care providers

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8
Q

Direct to Consumer Genetic Testing

A
  • Educate patient
  • Non-diagnostic
  • Indicate potentially increased risk
  • Confirm test results through CLIA certified lab
  • Obtain relevant clinical risk information & family history
  • Provide counseling and referral to genetic counselor or genetic specialist, as needed
  • Advise against unnecessary follow up
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9
Q

Polygenic Risk Scores

A

More valuable scores consider the underlying disease
• Does risk vary by age or some other factor?
• How is disease status modeled? Is it continuous (e.g., BP for hypertension) or dichotomous (e.g., diagnosis of cancer)
• Can identify probability of diagnosis, or inform screening approaches
• Integrate risk scores with other information that influences risk (e.g., clinical data, environmental exposures)

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10
Q

Breast Cancer

A

• Using polygenic risk scores to augment existing risk assessment
• Scores based on many variants, vs. searching for high-risk mutations
in specific genes
• May put some women over the threshold for early screening & other preventive therapies
• More specific than age-related incidence data

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11
Q

Cardiovascular Disease

A
  • 304 identified variants explain ~20% of CAD heritability
  • Potential uses
  • Identify patients who would benefit most from statin therapy
  • Identify patients at risk of poor anticoagulant response (Factor V Leiden)
  • Increased risk of venous thromboembolism
  • Risk increased with use of certain combined hormonal contraceptives
  • Universal screening not cost-effective
  • May be beneficial before using second- and third-generation combined contraceptives
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12
Q

Ethical, Legal, and Social Implications

A
  • Ensure patients, families & research participants understand genomics
  • Explain what information will be obtained and where it will be stored
  • Ascertain interest in testing
  • Preferences for receiving results
  • Educate patients and families about results • Action able variants
  • Incidental findings
  • Implications for other family members
  • Encourage patients to share results with family members who may be at risk
  • Recognize that some family structures & situations are not amenable to sharing results
  • Support informed decision-making
  • Ensure appropriate referrals for follow-up
  • Advocate for access to genetic services
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13
Q

Genetics Has a Diversity Problem

A
  • Vast majority of genetic and genomic studies done in individuals of European ancestry
  • Results are not applicable to those with different ancestral backgrounds
  • Isolated population groups
  • Populations outside of Africa vs. within Africa
  • Admixed populations – e.g., individuals who are African American frequently have African and European ancestry due to slavery
  • Exacerbates health inequalities
  • Inaccurate assessment of pathogenic variants in clinical genomic studies
  • Missed opportunities: development of drugs specific to understudied populations
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14
Q

Genetics Has a Diversity Problem

A

Groups NOT studied will have variants that we don’t see in the groups that ARE studied
• Need to genotype those populations, then apply data to assess population-specific risk
• Consider the impact of environmental & contextual variability
• Self-identified race (e.g., African American) differs from ancestry
• Race is a social construct; ancestry can be ascertained through genetics

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15
Q

Pharmokinetics

A

Body to drug

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16
Q

Pharmodynamics

A

drug to body

17
Q
Ultrarapid metabolizers (UM)
Activity Score > 2.0
A

Multiple copies of wild-type allele
• Significantly increased enzyme activity→subtherapeutic blood levels
• Therapeutic effects cannot be obtained at conventional doses

18
Q
Extensive metabolizers (EM)
Activity Score = 1.0-1.5-2.0
A
  • Two wild-type alleles

* Normal enzyme activity

19
Q
Intermediate metabolizers (IM)
Activity Score = 0.5
A
  • One inactive allele + one wild-type allele

* Reduced metabolism

20
Q
Poor metabolizers (PM)
Activity Score = 0
A
  • Two inactive or nonfunctional alleles

* Increased risk of adverse side effects, therapeutic failure