Lecture 12 Flashcards
1
Q
Progeny with the parental type will have
A
- An intermediate trait score
- High variance
2
Q
Progeny with the recombinant type will be
A
- Either heigh or low
- Little variance
3
Q
LOD score (Z):
A
- Logarithm of Odds
- Probability of most likely recombination fraction/probability that they are unlinked
- If numerator <denominator, the log will be negative
- LODs are additive
- Used to answer whether the two genes of interested are linked
4
Q
Mapping markers by recombination:
A
- Let c be the actual recombination distance between markers
- We estimate c from the observed recombination fraction (r)
- Cest = no. of recombinants/total number
5
Q
Maximum likelihood (ML) approach:
A
- Write likelihood L (probability of data) as a function of unknown c: L(c)
- CMLE (maximum likelihood estimate) of true c
- L(c) = (1 - c) to the power of 90 x c to the power of 10
(100 offspring, 90 parentals, 10 recombinants)
6
Q
LOD = 3 means
A
- Linkage (Ha) is 1000 times more likely than free recombination (Ho) we are confident that we have linkage there.
- This is the standard figure threshold
7
Q
LOD = 0
A
Ha = Ho (in other words beta base 1 = 0)
8
Q
There are three parameters
A
- Beta base 1
- Beta base 0
- Variance
9
Q
Beta base 1:
A
- The mean difference between the two populations
10
Q
Beta base 0:
A
- The base level trait value
- The trait value that everyone has, eg) height is always 150cm (B0) + x (B1)
11
Q
Trait value:
A
Y = B1X + B0 + e
12
Q
Single marker analysis:
A
- T-tests marker by marker
13
Q
Intverval mapping:
A
- Considers the likelihood of a QTL existing for every point in the linkage map
- Uses LOD analyses
14
Q
Composite Interval mapping:
A
- Adjusts lokelihood based on the state of QTLs at other parts of the genome
15
Q
Position and effect are somewhat confounded..
A
- The effect of the causal variant is likely to be underestimated (because recombination between the marker and the causal variant)
- In the causal variant distant with a big effect of closer with a smaller effect?