Week 3 : Genetics and Population Health Flashcards

1
Q

What is deoxyribonucleic acid (DNA) made up of?

A
  • A deoxyribose sugar
  • A base
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2
Q

List the 4 possible bases.

A

Adenine - A
Thymine - T
Cytosine - C
Guanine - G

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3
Q

What is Mendelian Inheritance?

A

Refers to certain patterns of how traits are passed from parents to offspring (one gene + environment)

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4
Q

What is Complex Inheritance?

A

Traits that have a genetic component that does not follow strict Mendelian inheritance and may involve the interaction of two or more genes or gene-environment interactions.

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5
Q

What is a genetic predisposition?

A

An increased likelihood of developing a particular
disease based on a person’s genetic makeup.

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6
Q

List 2 ways we can detect genetic variants.

A
  • DNA Microarray
  • Genetic Sequencing
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7
Q

How does DNA Microarraying work?

A

Sample DNA from blood or saliva is extracted, cut into fragments and analysed on a DNA-microarray chip.

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8
Q

What is read depth?

A

The number of times the genome is read during sequencing.

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9
Q

Why are candidate-gene studies not usually successful?

A
  • Small sample sizes
  • Inadequate or loose statistical thresholds
  • Inefficient number of genetic markers tested
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10
Q

What does GWAS mean?

A

Genome-wide association studies

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11
Q

What is the GWAS pipeline?

A

Large patient sample > Simultaneous genotyping > Statistical analysis

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12
Q

How many SNPs are tested during GWAS?

A

All SNPs

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13
Q

What is the issue with GWAS?

A

Restricting to Europeans limits the generalisability of
findings and may miss genes poorly captured by
European genetic variation.

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14
Q

How can genetic data be used in criminal investigations?

A
  • Racial profiling
  • Matching DNA from the crime scene
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15
Q

What is a polygenic risk score (PRS)?

A

It’s a score used to estimate an individuals genetic risk/liability for a certain disease or trait.

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16
Q

How is PRS calculated?

A

Based on GWAS results.

17
Q

What is PRS used for?

A
  • Identify shared etiology between phenotypes
  • Evaluate clinical utility of genetic data for complex disease
  • Stratification of samples.
  • Comparing outcome between patients with low/high risk
  • Utilise powerful summary statistics from large studies to inform genetic risk profiles in small
    samples
18
Q

Why is knowing underlying genetic risks important?

A
  • Prediction of health
  • Personalised treatment
  • Improve diagnosis, select optimal treatment, preventative medicine.
  • Another piece of the info to add to other data to help decision making in healthcare
19
Q

What does having a polygenic score in the 95th percentile mean?

A

You do not have a 95% risk of developing the disease, but out of 100 people your
background risk is higher than 95 others.

20
Q
A