GWAS lecture Flashcards
Monogenic
mendelian
1 gene
multigenic
more than one gene but not many
polygenic
many genes
Relationship between association and causality
they do not equal each other
The ability to detect associations depends on
how many loci
the effect size and allele frequency
sample size
the nature of markers used
heterogeneity of the trait
GWAS stands for
genome wide association study
What is a P value
the probability of obtaining test results at least as extreme as the results actually observed
The P value was never intended to
be a substitute for scientific reasoning
Linkage disequilibrium
the non-random association of alleles at different loci in a given population
The GWAS Manhattan plot does better with
more data
-the data is whispering vs. shouting
power is influenced by
sample size
distribution of effect size
frequency
Linkage disequilibrium
Success is determined by
how many loci
genetic architecture
sample size
number of variants
heterogeneity of trait
Complex traits are almost always due to
many genes, each with potentially many variants
thus, the effect of any one is small