6 - Introduction to Genetic Epidemiology Flashcards

1
Q

Modes of Inheritance

A

Mendelial

Non-Mendelian

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2
Q

Mendelial

A

Autosomal Dominant
Autosomal Recessive
X-Linked Recessive

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3
Q

Non-Mendelian (or Complex)

A
High Heritability (Birth defects, Cleft palate, Neural tube defects)
Low Heritability (CAD, Parkinson's)
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4
Q

Twin Studies

A

Are monozygotic twins more similar than dizygotic twins?

Assumption: They have the same exposures

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5
Q

Candidate Gene Study

A
Single nucleotide polymorphism (SNP)
or haplotype (characteristic pattern of
SNPs) in gene that codes for protein in
known pathway
Tests association of SNP or haplotype
with presence of disease or phenotype
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6
Q

Threats to Validity - Candidate Gene Studies

A
Study Design Problems
Cohort study = confounding
Case control = confounding +
selection bias
Misclassification
Endpoint; genotyping
Multiple comparisons
Lack of replication
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7
Q

Threats to Validity - Confounding

A
Genetic
SNP of interest is correlated with
causal SNP
In gene or neighboring regions
(linkage disequilibrium)
More generally (population
stratification)
Non-genetic
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8
Q

Population Stratification - Strategies to address

A

Family-based approaches
Restriction
Genomic control/ancestral
informative markers

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9
Q

Non-Genetic Confounding - Strategies to address

A

Measure and adjust for non-genetic

confounder

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10
Q

Misclassification - Types

A
Disease misclassification
Genotyping errors
Quality control
Call rates
Hardy-Weinberg Equilibrium
χ2 of observed vs. expected allele
distribution
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11
Q

Multiple Comparisons

A
Since two alleles in every locus, multiple
possible combinations
Additive GG to GA to AA
Dominant GG vs. GA or AA
Recessive GG or GA vs. AA
Multiple SNPs per gene and multiple
genes
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12
Q

Multiple Comparisons - Approaches

A

Bonferroni correction, False Discovery Rate

Replication / meta-analysis

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13
Q

Genome Wide Association Study

A
Purpose: “discovery” of new pathways
Common disease, common variants
Measures SNPs dispersed across the
genome to allow genome-wide scan
– ~1 million SNPs
– Randomly or purposefully selected
Unconstrained by prior hypotheses
Requires large sample sizes
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14
Q

Dealing with False Positives (GWAS)

A

1 million tests at P

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15
Q

Threats to Validity - GWAS

A
Underlying Study Design
False Positive Results
Genotyping/data errors
Confounding by Population
Stratification
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16
Q

Limitations of GWAS

A
Require large samples sizes, dense
genotyping
False negatives
Early GWAS had limited information on
environmental factors, confounders
Modest associations
Identify regions of interest, not
necessarily “causal” SNP
17
Q

Mendelian Randomization

A
Assumption: random assortment of gene
variants from parents to offspring during
gamete formation and conception
AG x AG =
AA (25%) AG (50%) GG (25%)

Uses “latent” variable to test if pathway
“causes” disease

18
Q

Instrumental Variable

A

Affects disease only through gene product

19
Q

Limitations of Mendelian Randomization

A
“Failure” of randomization
GG x AG = 
GG (75%)
Confounding (linkage disequilibrium
population stratification, non-genetic)
Requires bigger sample sizes
Causal SNPs often not known; weak
correlations
20
Q

Gene x Environment Interaction

A
Genes may cause disease and/or
modify risk of an environmental stimulus
Smoking, alcohol…
Medications…
Test for interaction term for gene X
environmental factor