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16 Cards in this Set

  • Front
  • Back
cost-effectiveness issues in GWAS (4)
------ 1. balance between false positives and false negatives
2.choice of larger sample sizes or ore genetic markers
3.choice of larger sample sizes and more informative subjects
4.splitting resources between initial GW scan and follow-up
most popular solution to cost-effectiveness problem
GWAS studies
why GWAS (4)
---- 1. powerful design to gain global dissection of etiology
2.many successful replications
3.takes advantage of exisiting database (HAPMAP) to gain new information (genotype imputation/CNVs)
4.design of choice for studying complex diseases
unique issues for GW study design (4)
----- 1. hypothesis generating vs testing
2.population specific polymorphisms
3.genome coverage
4.choice of sampling units
in reporting resutls of hypotheis tets, what must occur? -----
- p-value adjustment for multiple testing MUST occur
what is key for GWAS: hypothesis
------ REPLICATION!
procedures for adjustment of multiple tesgting that are suitable for GWAS -----
- 1. step down bonferroni
2.sequential mutliple decision proces
3.false discover rate
4.multi-stage design
5.genomic control
gwas marker issues ------
1. limited platforms
2.genome coverage
3.problems with population specific polymorphisms
4.marker density
5.marker frequency
what are copies of a gene in the genotype of an individual -
----- DNA copy number
polymorphic loci with varying DNA copy numbers in a population
varying gene CN is related to...
its exprssion level
choice of samples in GWA
1. population-based
2.family-based
con with GWAS population based data
spurious association
pro of popoulation based choice of sampling units
more efficient
types of sampling units with populaiton based GWAS
1. case -control
2.case only
pros of family based choice of sample units in GWAS
1. control for population stratification
2.may be performed on existing samples
3.better haplotype estimate
4. natural to combine with linkage analysis
cons of family based choice of sample units in GWAS
1.cost more
2.missing data may compromise power