An Introduction to Quantitative Genetics I. Heather A Lawson Advanced Genetics Spring2018
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1 An Introduction to Quantitative Genetics I Heather A Lawson Advanced Genetics Spring2018
2 Outline What is Quantitative Genetics? Genotypic Values and Genetic Effects Heritability Linkage Disequilibrium and Genome- Wide Association
3 Quantitative Genetics The theory of the statistical relationship between genotypic variation and phenotypic variation. 1. What is the cause of phenotypic variation in natural populations? 2. What is the genetic architecture and molecular basis of phenotypic variation in natural populations?
4 Genotype The genetic constitution of an organism or cell; also refers to the specific set of alleles inherited at a locus Phenotype Any measureable characteristic of an individual, such as height, arm length, test score, hair color, disease status, migration of proteins or DNA in a gel, etc.
5 Nature Versus Nurture Is a phenotype the result of genes or the environment? False dichotomy If NATURE: my genes made me do it! If NURTURE: my mother made me do it! The features of an organisms are due to an interaction of the individual s genotype and environment
6 Genetic Architecture: sum of the genetic effects upon a phenotype, including additive,dominance and parent-of-origin effects of several genes, pleiotropy and epistasis Different genetic architectures Different effects on the phenotype
7 Types of Traits Monogenic traits (rare) Discrete binary characters Modified by genetic and environmental background Polygenic traits (common) Discrete (e.g. bristle number on flies) or continuous (human height) or binary (disease status) Modified by genetic and environmental background
8 Frequency Distribution of a Phenotype As the number of loci controlling a trait increases, the phenotype frequency becomes increasingly continuous
9 Phenotypic Distribution of a Trait
10 Consider a Specific Locus Influencing the Trait For this locus, mean phenotype = 0.15, while overall mean phenotype = 0
11 Goals of Quantitative Genetics Partition total trait variation into genetic (nature) and environmental (nurture) components Predict resemblance between relatives If a sib has a disease/trait, what are your odds? Find the underlying loci (genes, nucleotides) contributing to this variation QTL quantitative trait loci GWAS genome- wide association Deduce molecular basis for genetic trait variation
12 Basic Model of Quantitative Genetics Phenotypic Value = the value observed when a trait is measured on an individual P = G + E Genotypic Value = the average phenotype of those carrying the specified genotype Environmental Deviation = the deviation of the observed phenotype in an individual from the genotypic value
13 If we measure the genotype and the phenotype in the same individuals, we can estimate genotypic values for various phenotypes
14 Genotypic Values At a single locus, it is the average phenotype of those carrying the specified genotype Can be decomposed into: Additive effects Dominance effects Parent of Origin effects
15 Parent- of- Origin Genetic Effects With 3 genotypes (A 1 A 1, A 1 A 2, A 2 A 2 ) you can estimate two genetic parameters (additive and dominance) To analyze parent- of- origin dependent effects, you need ordered genotypes (A 1 A 1, A 1 A 2, A 2 A 1, A 2 A 2 ) Adds another parameter
16 A 1 A 2 A 1 A 1 A 1 A 2 A 1 A 2 A 1 A 2 A 2 A 2
17 Arbitrarily assigned genotypic values Genotype A 1 A 1 A 1 A 2 A 2 A 2 - a d +a Genotypic value 0
18 Genotypic Values pg pg +pg ++ weight(g) from Example 7.1 Falconer and Mackay
19 Reference point (r) r is the mid- point between the two homozygotes
20 pg pg (6g) +pg (12g) ++ (14g) r = 10g
21 Additive genotypic value (a) a is the half- the difference between the two homozygotes
22 pg pg (6g) +pg (12g) ++ (14g) ±a = 4g r=10g
23 Dominance genotypic value (d) d is the deviation from the midpoint between the two homozygotes
24 pg pg (6g) +pg (12g) ++ (14g) r=10g d = 2g
25 Trait Value = LL LS SL SS Trait Value = LL LS SL SS = 0.75
26 Genomic Imprinting: Different expression of alleles inherited from the mother and father results in phenotypic differences between reciprocal heterozygotes (A 1 A 2 A 2 A 1 ) Pat Mat Pat Mat Bi- allelic gene A 1 A 2 = A 2 A 1 Maternally expressed gene A 1 A 2 A 2 A 1 Paternally expressed gene A 1 A 2 A 2 A 1
27 Genotypic Values pg pg pg + +pg ++ weight(g) adapted from Example 7.1 Falconer and Mackay
28 Parent- of- origin imprinting genotypic value (i) i is half the difference between the two heterozygotes
29 pg pg (6g) pg+ (8g) +pg (12g) ++ (14g) ±i = 2g r=10g
30 35 Trait Value = 7.5 = LL LS SL SS 35 Trait Value = = LL LS SL SS
31 Heritability The proportion of phenotypic variation that is attributable to genotypic variation Penetrance: the percentage of individuals with a specific genotype that possess an associated disease Categorical, e.g. Huntington s disease Expressivity: the degree to which individuals with a specific genotype display the associated phenotype Quantitative, e.g. psoriasis
32 Heritability Phenotype (P) = Genotype (G) + Environment (E) Var(P) = Var(G) + Var(E) + Cov(G,E) Broad- sense heritability H 2 = Var(G) / Var(P) Broad- sense heritability includes additive, dominance, epistatic variance, and parent- of- origin effects
33 Heritability Genetic (G) = Additive (A) + Dominance (D) + Imprinted (I) + Epistasis (E) Var(G) = Var(A) + Var(D) + Var(I) + Var(E) Narrow- sense heritability h 2 = Var(A) / Var(P) Narrow- sense heritability is the ratio of the additive genetic variance to the total phenotypic variance
34 Heritability Ranges from 0 (all environmental) to 1 (all genetic) Specific to a population in specific environmental circumstances Highly inbred population with no genetic variation Heritability of 0 No environmental variance in an outbred population if all genetic variance is additive Heritability of 1 Most traits have a heritability between 0.2 and 0.8 Can decrease by either a decrease in additive variance (V A ) or by an increase in environmental variance (V E )
35 Estimating Heritability Analysis of Variance or Regression
36 Heritability From Twins For comparison of monozygotic (MZ) and dizygotic (DZ) twins: r mz = A + C r dz = 0.5 * A + C A = 2 * (r mz r dz ) C = r mz A E = 1 r mz Where the components of variance are A for additive, C for common environment, and E for unique environment
37 Heritability of Human Traits
38 Missing Heritability GWAS have been successful in identifying common variants involved in complex trait aetiology. However, for the majority of complex traits, <10% of genetic variance is explained by common variants. Thus only a small part of heritable variaation in a trait can be explaind most is missing!
39 What Explains Missing Heritability? Genomic regions or classes of variation are not well covered by existing markers LD between markers and causal variants Repeats or heterochromatic regions Rare variants Local heritability around associated SNPs Heritability estimates (narrow- sense, i.e. additive) are overestimated Power De novo mutations Explains a subset of cases of autism and other phychiatricdisorders May contribute to disease incidence but not to missing heritability
40 Linkage Disequilibrium Non- random association of alleles at different loci
41 Linkage Disequilibrium Haplotype Frequency Allele Frequency A 1 B 1 X 11 A 1 p 1 = X 11 + X 12 A 1 B 2 A 2 B 1 A 2 B 2 X 12 X 21 X 22 A 2 B 1 B 2 p 2 = X 21 + X 22 q 1 = X 11 + X 21 q 2 = X 12 + X 22 A 1 /A 2 B 1 /B 2 D = X 11 p 1 q 1 Correlation coefficient r = D sqrt(p 1 p 2 q 1 q 2 )
42 Decay of Linkage Disequilibrium Human Chromosome 22
43 Linkage and Linkage Disequilibrium
44 Linkage and Association Association Linkage 20 Generations
45 Whole Genome Association (Linkage Disequilibrium Mapping)
46 GWAS Methodology
47 GWAS Workflow
48 Case- Control Association Plot and LD Map Human Chromosome 22
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