18. Future of Genetics Flashcards

1
Q

integration into clinical care is severely challenged by …

A

a lack of accurate interpretations of the vast amount of human genetic variation known to exist

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2
Q

challenges to single gene testing

A

locus heterogeneity: a mutation in one of several genes may lead to a clinically similar disease

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3
Q

incidental results

A

genetic variants uncovered during testing that are unrelated to the primary disease under investigation, but of potential clinical significance

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4
Q

why are most cancers not screened for

A

because their prevalence in the general population is too low to justify screening programmes on an individual cancer basis

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5
Q

in what situation could you screen for cancer tests

A

should multiple cancers be effectively screened for in a single test this would alter this calculation

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6
Q

what is the essential to this proposed cancer screening

A

the success of this approach is the sensitivity and specificity of the classifier which determines whether the test result is normal (non cancer) or abnormal

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7
Q

what is the best biological matrix to look for early signs of cancer

A
  • tumours can secrete small fragments of DNA called circulating tumour DNA (ctDNA), into circulation where they are found in plasma
  • because all cells in the body have access to the circulatory system, blood is an attractive analyte for a cancer test
  • a “liquid biopsy” using blood samples obtained from cancer patients could detect the characteristics of ctDNA that may have prognostic and/or therapeutic implications
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8
Q

problem with the biological matrix to look for early signs of cancer

A

with mutations found in ctDNA, circulating in the blood it is difficult to say where the mutation comes from (tissue of origin)

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9
Q

how may epigenetics offer a solution to this problem

A

each tissue has a characteristic epigenetic pattern

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10
Q

how does preparing DNA methylation help determine the tissue of origin of a cancer signature in the blood

A
  • each tissue has a different pattern of fingerprint of DNA methylation
  • alterations in DNA methylation are common in a variety of tumors are considered to be among the earliest and most comprehensive genomic aberrations occurring during carcinogenesis
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11
Q

DNA methylation’s relation to cancer

A

DNA methylation has long been regarded as a hallmark of cancer and holds great promises for early-stage cancer detection

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12
Q

comparing methylation patterns from an individual blood sample …

A

has the potential to be used to screen for early signs of a variety of different cancers

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13
Q

is early screening ready for clinic

A
  • Grail a sequencing company is pioneering the use of ctDNA in blood for the early detection of 50 different types of cancer
  • the NHS is set to initiate the trial of Galleri blood test
  • the pilot will enroll over 150,000 participates to examine the tests clinical utility
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14
Q

Variant of Unknown significance (VUS)

A

a genetic alteration whose association with disease risk or health impact is not clearly established

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15
Q

Clinvar

A

a database containing genetic variations classified for diseases and drug responses, with supporting evidence

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16
Q

where do the submissions in ClinVar come from

A

over 90% come from clinical labs and represent a glimpse of the state of variation being observed in patients

17
Q

how can the biological and clinical impact of genetic variants be predicted at scale

A
  • computational predictive modeling
  • bioinformatics tools
  • database comparisons
18
Q

explain bioinformatics tools

A

use of software that predicts the impact of genetic variants on protein structure and function

19
Q

explain database comparisons

A

compare the variant against databases that catalog known disease-associated and benign variants

20
Q

what is the biggest challenge VUS predicts

A

many of these VUS arise due to missense variants
- missense variant results in the sibstitution of one amino acid for another in the protein
- this change can affect the protein’s structure and function, depending on where the change occurs and what amino acids are involved

21
Q

why might you combine genetic data with other types of data

A

when genetics isn’t enough

by integrating genetic information with various other data types - such as clinical, environmental and lifestyle factors: genetic data can contribute to a comprehensive overview of an individual’s health status and potential future health trajectories

22
Q

GMAI

A

Generalist Medical AI
- broad and comprehensive AI system designed to perform a variety of tasks across the medical and healthcare fields
- GMAI model aims to be more versatile and wide-ranging in its capabilites

23
Q

GMAI features

A
  1. multi functionality
  2. decision support
  3. patient interaction (through chat boxes or virtual health assistants)
  4. training and education (provide simulation-based learning environments)
24
Q

what does NGS based Genomic testing offer

A

increased diagnostic reach over single gene testing and allows for translational research and new discoveries

25
Q

what can cell free DNA offer

A

great potential for the early detection of cancer