Pgx Drug Discovery I Flashcards

1
Q

Null Hypothesis

A

no association between any allele and drug resistance

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2
Q

P > 0.1

A

no presumption against the null hypothesis (no significant association)

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3
Q

0.05 < P < 0.1

A

low presumption against the null hypothesis (marginal association)

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4
Q

P < 0.05

A

strong presumption against the null hypothesis (significant association)

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5
Q

P < 0.01

A

very strong presumption against the null hypothesis (very significant association)

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6
Q

Does the p value measure the strength of association of relationship?

A

NO
- affected by sample size or allele frequency

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7
Q

Measure of the strength

A

Odds Ratio

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8
Q

Odds Ratio

A

increased risk for a phenotype by carrying a specific genotype/allele compared to patients without carrying

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9
Q

Odds Ratio Equation

A

odds of phenotype in an individual with genotype / odds of genotype in an individual without genotype

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10
Q

OR = 1

A

no association

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11
Q

OR > 1

A

potentially increases the risk

the higher the OR is, the higher risk the allele will confer to phenotype

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12
Q

OR < 1

A

potentially decreases the risk

the smaller the OR is, the lower risk the allele will confer to phenotype

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13
Q

95% Confidence Interval

A
  • statistical probability for the odds ratio (standard of error of OR)
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14
Q

95% CI > 1

A

significant risk effect

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15
Q

95% CI includes 1

A

no statistical significance

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16
Q

95% CI < 1

A

significant protective effect

17
Q

Correction for P Values

A
  • due to a large number of tests for many SNP’s vs the single phenotype, there is a much higher probability to have many SNPs associated with the phenotype just by chance –> multiple testing
  • the more SNPs tested, the higher probability for a false positive
18
Q

Solution for false positive

A

Bonferroni corretion:
- corrected P = 0.05 / N

IN GENERAL WE USE 5x10^-8 AS CORRECTED SIGNIFICANT GWAS P VALUE

19
Q

Experiments to Test Hypothesis

A

CONTROL IS THE KEY (positive & negative control)

Requirements:
1. Sham (negative control)
2. Standard of Care Drug (positive control)
3. Investigational Drug (experiment group)

LARGE SAMPLE SIZE IS ESSENTIAL

CLINICAL STUDY OFTEN USES MEDIAN BUT NOT MEAN

TEST ONE CONCEPT IN MULTIPLE BIOLOGICAL SYSTEMS (molecular, cellular, rodents, human iPSC) TO MAKE RESULTS MORE RELIABLE

20
Q

What type of distribution do most studies follow?

A

normal (guassian) distribution (bell curve)

21
Q

Why do we use the MEDIAN and not the mean?

A

faster

patient data may not be normally distributed (skewness)