Medical Genomics Flashcards

(41 cards)

1
Q

When was the human genome mapped?

A

2003

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2
Q

When did next generation sequencing begin?

A

2010->

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3
Q

What is NGS?

A

Next generation sequencing

The rapidly advancing technology that makes it economically viable to sequence individuals rather than species

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4
Q

What % of the genome is the exome?

A

1%

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5
Q

What does studying the transcriptome RNA allow us to study?

A

Gene expression
Gene fusions
Splice variants

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6
Q

How many base pairs in a genome?

A

About 3200 million

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7
Q

How many base pairs in an exome?

A

5–70million

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8
Q

Negatives of exome sequencing

A

Only picks up 85% of disease causing variants
Requires additional sample prep
No assessment of non coding regions
Simple repeats, GC rich and highly homologous regions are poorly captured
Clinical exome develops over time

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9
Q

Negatives of genome sequencing

A

Much more expensive
Massive data (storage?)
Interpretation more expensive and difficult

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10
Q

Steps in exome sequencing

A
Genomic DNA
Shotgun library-> fragments
Rehybridisation
Pull down and wash
Captured DNA is sequenced
Mapping, alignment and variant calling
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11
Q

What does variant calling rely on?

A

Accurate alignment to a reference sequence from the Human Genome Reference
No read is the full gene

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12
Q

Who should be sequenced?

A

Distantly related concordantly affected individuals (share very few mutations)
Closely related discordant individuals (very few differences)

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13
Q

What is a compound heterozygote?

A

The presence of two different mutant alleles at a particular gene locus, one on each chromosome of a pair
Different mutations in mum and dad but on same allele
Offspring has no functioning copies of that gene

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14
Q

What does consanguineous mean?

A

The quality of being descended from the same ancestor as another person.

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15
Q

What are the 6 main types of mutations?

A

Inherited (autosomal recessive, autosomal dominant, X linked recessive, consanguineous autosomal recessive)
De novo
Mosaic

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16
Q

What is needed for bioinformatics?

A

4Gb data for each sample
Biologists skilled in programming
IRIDIS4 supercomputer

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17
Q

What affects the quality of sequencing?

A

Read depths
Standard bias
PCR duplicates

18
Q

What is tiered analysis?

A

Prioritised analysis on basis of clinical presentation
Use known targeted gene panels
Top candidate genes first then pathway, system, others
Minimises incidental findings

19
Q

How can you filter data?

A

Mode of inheritance
Variant type
Concordance/discordance to affected relatives
Frequency in control populations

20
Q

Give an example of an ‘in silico’ tool

A

Computerised predictors
Logit
Mutationtaster

21
Q

Name 2 reference databases

A

UK10K, in-house, ESV

22
Q

What do genetic libertarians believe about incidental findings in genome analysis?

A

“Return comprehensive data”
Patient has right to know
Return all data on known and unknown risk variants

23
Q

What does the ACMG recommend about incidental findings in genome analysis?

A

“Return data on a limited number of conditions and genes”

20 diseases, 60 genes

24
Q

What do genetic empiricists believe about incidental findings in genome analysis?

A

“Only return data that is truly significant”
Don’t create burden of ‘patient in waiting’
Penetrance for most variants is unknown

25
Who is involved in a medical genomics/bioinformatics MDT?
``` Genomicists Clinicians Immunologists Bioinformaticians Lab techs Registrars Research nurses PhD students Molecular biologists Pathologists ```
26
What are the issues with big data?
Storage space Safety/confidentiality of data Identifiable data refreshed for clinical life-course registry Need data on cancer registries, rare diseases, mortality data All data needs to be kept behind a firewall until processed Then it can be given to clinicians, academics and industry
27
What are the options for a patient when they get their data back?
Info about patient's main condition Info about 'serious and actionable' conditions (optional) Info on carrier status for non-affected parents of children with rare diseases (optional)
28
What can genomics be used for?
Making diagnoses Identifying people and increased risk of developing a condition Diagnosing infections and tracking epidemics Personalising drug treatments Identifying appropriate cancer treatments Developing new therapies
29
How can genomics be used to personalise drug treatments?
Genetic variation can impact drug metabolism. - > dosage - > frequency - > SEs - > adverse reactions
30
How can NGS be used for monitoring of disease?
Measure minimal residual disease by liquid biopsy-> quantifies disease, monitors remission and detects relapse
31
How does a mutation become heritable?
If it is germline (egg/sperm) | Then all cells are affected in offspring
32
What do are proto-oncogenes?
Proto-oncogenes code for proteins that help to regulate cell growth and differentiation. Could become an oncogene due to mutations or increased expression
33
What do tumour-suppressor genes usually do?
Prevent cell division and check cells for mutations before allowing them to progress in mitosis
34
What happens if a tumour-suppressor gene is mutated?
Loses function | Tumours are not suppressed
35
Apart from tumour-suppressor genes and proto-oncogenes, what other genes do we worry about mutations?
DNA repair genes Mutation may lead to decreased repair of damaged genes Increased likelihood of damaging mutations
36
What are the 2 types of mutation in cancer?
Drivers (give clones a selective advantage) | Passengers (have no effect)
37
What can be used for NGS samples?
Fresh frozen tissue biopsies Formalin fixed paraffin embedded samples Peripheral blood cells Saliva
38
What does 'cancer is clonal' mean?
Cells are from one common ancestor cell characterised by one or more somatic driver mutations
39
What are targeted gene panels good for?
``` Cheap, quick, higher read depth Can estimate clonality Best for rare variants Restricted based on current knowledge Can predict prognosis ```
40
What are the 4 Ps of personalised healthcare?
Personalise Predict Prevent Participate
41
How will clinical genomics stratify disease?
Classify disease based on causative pathways instead of signs and symptoms