L9,10,11 - Drug Discovery Flashcards
How can PGx research used to test correlation?
PGx research can test genotype-phenotype association
How can PGx research test causation?
- PGx research can establish the cause-effect relationship between the genetic variation and phenotypic variation
What does a null hypothesis state?
No association between any allele and drug resistance
What size of value for X^2 support the null hypothesis?
Null: no association between any allele and drug resistance
- A small value of X^2 supports this
observed N and expected N would be similar
What is the P value for no significant association ?
P > 0.1
no presumption against the null hypothesis
What is the P value range for marginal association ?
0.05 < P < 0.1
low presumption against null hypothesis
What is the P value for significant association ?
P < 0.05
strong presumption against null hypothesis
What is the P value for very significant association ?
- P < 0.01
Does P value measure the strength of an association relationship?
No
- P can be affected by sample size: the bigger the size, the lower the P value, even under the same frequency
- P can be affected by allele frequency
How can you measure the strength of an association?
Odds ratio
- increased risk for a phenotype by carrying a specific genotype/allele compared to the patients without carrying
How do you calculate odds ratio to measure strength?
OR = odds of phenotype in an individual with / odds of phenotype in an individual without
with / without
Calculate the odds ratio for developing drug resistance (persistence) in patients carrying T allele vs patients carrying the C allele:
OR = (539/198) / (701/578) = 2.24
- Patients carrying the T allele will have 2.24 times more chance to develop drug resistance compared to the patients carrying the C allele
Explain how to interpret different odds ratio values:
- OR = 1 –> no association
- OR > 1 –> increases the risk
- OR < 1 –> decreases the risk
What does the 95% CI indicate?
95% CI is a statistical probability for OR (the standard error of OR)
over 95% of probability that the association is confident
Explain how to interpret 95% Confidence Intervals:
- If the 95% CI is greater than 1, there is a significant risk effect
- If the 95% CI contains 1, there is no statistical significance
- If the 95% CI is less than 1, there is a significant protective effect
What is the Bonferroni correction for P values?
corrected P = 0.05/N
N = total number of SNPs tested
What value do we use as a corrected GWAS P value?
5x10^-8