13 - 18 april, 2005 chapter 18 quantitative genetics continuous variation
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Overview• In nature, variation in most phenotypic
characters is continuous.• Such quantitative variation is studied with
statistical techniques.• Continuous variation may be the result of
segregation of interacting alleles at several loci with cumulative effect on phenotype.
• Environmental interaction with genotype contributes to phenotypic variance.
• Heritability is a population trait, not an individual one.
Quantitative genetics•Genetics of continuously varying characters
•Attempts to determine genetic variation contributing to character
–number of loci with segregating alleles–how genes interact with one another and the environment (norm of reaction)–How do loci interact (dominance, epistasis, etc)–possible maternal effects
•Often requires statistical analysis
•Quantitative traits: small variation between genotypes, large variation within genotype.
Statistical measures
•Statistical distribution: description of set of quantitative measurements
–graphical representation: e.g, histogram–distribution function: continuous curve
•Mean: measure of central tendency (average)–mode: most frequent observation
•Variance: measure of dispersion about mean
•Correlation: relationship between two measured quantities
Measures of central tendency
Mode: most frequent class in samplebimodal: two frequent classes
Mean: arithmetic average
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Mean = x =1
Nx i∑
Measures of dispersion
• Variance of sample: average squared deviation from mean
• Standard deviation
22 )(1
1xx
Ns i −−
= ∑
2variance ss ==
Measures of relationship (1)
• Correlation coefficient: relation between two variables, x and y– calculated from covariance of sample and
standard deviations of x and y
yxxy
ii
ss
xyr
yyxxN
xy
covncorrelatio
))((1
1cov
==
−−−
= ∑
Measures of relationship (2)
• Correlation is estimate of precision of relation between two variables; can not be used to predict value of one given the other.
• Regression describes relationship between two variables and allows their prediction. linear regression:
abxy +=
Although most quantitative traits are polyfactorial, variation at a single locus can behave quantitatively.
Norm of reaction• The relationship between environment and
phenotype for a given genotype• Studied by subjecting homozygous lines to
different environments– replicated (e.g., cloned) genotypes– inbred lines (e.g., from repeated sib mating)– use of dominant markers and crossover
suppressors to make lines homozygous for particular chromosomes
• Studies indicate that phenotypic differences between genotypes are small
Heritability
• Important to know whether genes contribute to phenotypic variation of quantitative character
• Heritability is a population trait, not property of individual
• Not same as familial trait shared by members of a family
• Characters are heritable only if similarity arises from shared genotypes– estimated from phenotypic similarity of relatives
– estimated by cosegregation of gene markers
– difficult to estimate in humans
H2: broad heritability
s2p = total phenotypic variance in population
s2g = genetic variance
s2e = environmental variance
cov = covariance between genotypic and environmental effects
s2p = s2
g + s2e + 2 cov ge
22
2
2
22
eg
g
p
g
ss
s
s
sH
+==
H2 tells what part of population’s variation is attributable to genotypic variation.
•Intercross homozygotes and measure variance within each heterozygous genotype. Average is s2
e which can be subtracted from s2
p to give s2g.
•Statistically estimate from genetic similarities between relatives, particularly using difference in phenotypic correlation between monozygotic and dizygotic twins
Estimating H2
Meaning of H2
• It is a population parameter, with no application to particular individuals
• H2 > 0 means that genetic variance is present
• H2 = 0 means that there is no genetic variation; genes may still be relevant to trait (as in development)
• Value of H2 provides limited prediction about effect of environmental modification
• H2 is specific to environmental conditions under which it is measured
Locating genes
•Difficult to identify genes for quantitative characters
•Candidate gene: from prior biochemical or developmental knowledge
•Quantitative trait loci (QTL) may be located to regions of chromosomes by cosegregation with marker genes
•Dominance and epistasis may be involved
h2: narrow heritability• Genetic variance can be divided into
additive genetic variance and dominance variance
• h2 is useful in determining whether there is selectable genetic variation– useful in plant and animal breeding
222
22
eda
a
sss
sh
++=