Quiz 5 (Quantitative Genetics, Rates of Evolution, Genome Evolution) Flashcards
What does quantitative genetics focus on?
Continuous traits
What are continuous traits?
Traits produced by a large number of genes, usually have a phenotypic range
ex: height, skin color, weight
What are discrete traits?
Traits produced by a single locus (or a few)
How can discrete genes produce genes with continuously varying values?
A 2-locus example (assuming all allele frequencies = 0.5)
Let A1 = 2 cm, A2 = 1 cm & B1 = 3 cm, B2 = 2cm
An individual that is A1A1B2B2 would be 10 cm,
An individual that is A2A2B2B2 would be 6 cm
What is the correlation between # of loci and the number of combinations?
As the amount of loci increases, the number of combinations increases very quickly
ex: 1 loci = 3 possible genotype combinations,
5 loci = 243 possible genotype combinations
10 loci = 59049 possible genotype combinations
What is a quantitative trait loci (QTL)?
A region of the genome that we can identify that influences quantitative traits
What is a genetic map?
One way to map genes based on recombination rates (measured in centi-morgans)
What is a physical map?
Another way to map genes based on sequencing the genome (measured in bp or Mb)
What are the 3 methods to determine the genes that influence quantitative traits?
QTL Mapping
GWAS
Candidate loci
How does QTL mapping work?
Start with 2 parents who differ in the trait of interest
Make genetic maps of each parent; each map is made with some unique markers and some shared
Cross the parents to make an F1 generation
Inbreed/Self the F1 generation to create recombinant inbred lines
What are recombinant inbred lines (RIL’S)?
Individuals are made up of different parental combinations due to recombination
What are you looking for with QTL mapping?
How correlated the genetic markers are with phenotypes
You can conclude that somewhere close to the marker, there is at least 1 gene that’s causing the trait
What is GWAS?
QTL’s on a larger scale, done with thousands of individuals instead of 2 parents
Single nucleotide differences in individuals are analyzed with a statistics test
What is the general methodology for GWAS?
Generate a p-value for each SNP (single nucleotide polymorphism)
Correct for multiple comparisons
p-values below some threshold are statistically significant
Generate a manhattan plot
What does a p-value indicate in GWAS?
The probability of seeing association by chance
Why do you have to correct for multiple comparisons in GWAS?
When comparing multiple p-values, false significances can occur (false-positives)
What are the relative strengths of GWAS and QTL mapping?
It is more likely that relevant variation will be present since in QTL only the variation between parents is assessable
Associated markers are likely close to relevant genes
GWAS is expensive compared to QTL mapping