Genetics II Flashcards

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Example: STATURE

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Known to be influenced by genetic variations (~80-90%)
1st known genetic variation to affect height found in 2007
- Single nucleotide change in HMGA2 gene
- Homozygotes = 1cm taller (<1% variation)
Weedon, M. N. et al. Nature Genet. (2007)
* In 2008 genome-wide association study (GWAS)
identifies 20 loci that influence adult height (~3% variation -5cm)
Weedon, M. N. et al. Nature Genet. (2008)
* Allen, H.L. et al. Nature (2010)
- 180 loci explains ~10% of variation (n>100,000)
* GIANT study (Nature Genetics 2014)
- >400 loci explains ~20% of variation (n>250,000)
- Update on n=5.4M - >12,000 loci ~40% of variation (Nature
2022)

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3
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Example: Coronary Artery Disease

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(CAD) (polygenic/complex - discrete)
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* Single largest killer (males and females) in
developed countries
* Multiple genetic and environmental influences and
interactions

  • Risk factors also complex traits
  • continuous and discrete
  • Cholesterol
  • Hypertension
  • Obesity
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For complex traits

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  • how much of the variation between people is due to
    genetic differences between them and how much is due to
    them experiencing different environments ?
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Key questions

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  • For a particular trait, is the observed variation influenced by genetic variation and/or by
    environmental factors?
  • How important is genetic variation as a source of total phenotypic variation? (Heritability)
  • How many genes are involved and where in the genome are they distributed? (Association studies, whole genome sequencing)
  • If there is genetic variation, what is the phenotype of the various genotypes in different environments?
    (epigenetics)
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7
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For complex traits

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9
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Heritability

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*H= h2
* H can take any value between 0 and 1
* His a feature of a population
The relative sizes of g and Ve tell us about the contribution of the variation in our genetics and environment to the differences between people (phenotypic variation)

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Measuring Heritability

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10
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Heritability

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12
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H and resemblance
between relatives

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As H increases, children tend to resemble more
closely their parents
*As H increases so does
the response to selection

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13
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H and resemblance
between relatives

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14
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Measuring Heritability

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15
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Complex traits can be continuous or discontinuous (discrete)

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Continuous - shows a series of overlapping phenotypic
classes
- Height, weight
- Can estimate H using correlations

  • Discontinuous - shows distinct phenotypes
  • Cancer, Schizophrenia
  • G + E combine to determine an underlying risk or liability toward trait (continuous)
  • Estimate H from the frequency of the trait in relatives and in general
    population
  • Examining difference in concordance rates between MZ and DZ twins
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complications

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H is not a constant
— varies in space and time
Not the same in all populations or all generations (different gene variations; new variations; different environments)
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* Shared environment can over-estimate H

  • Genotype - Environment Interaction
  • Assortative mating (ie non-random)

    Makes Vg appear larger
  • H is overestimated
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Assortative mating can affect genotype frequency and can lead to overestimates of H
How do we assess the effect of assortative mating on the expected genotype frequencies and r (coefficient of relationship)? NB: relates to earlier session on HWE
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Assortative mating can affect genotype frequency and can lead to overestimates of H
Coefficient of inbreeding (F) * For an individual * Probability that an individual has 2 genes at a locus that are identical by descent * F = 1/2 (r) of parents - "" is the coefficient of relationship * F = 0 if parents are unrelated
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Polygenic inheritance model (Vc)
Each gene can have a small effect * The separate effect of each gene cannot be detected by observing the phenotype * Major or Minor genes * QTLs (Quantitative Trait Loci) - commonly used in agriculture and breeding * eQTLs (variants that affect expression)
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Polygenic inheritance model (Vc)
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Re-evaluating the complexity
Polygenic (and pleotropic) a number of genotypes or mutations at different loci contribute to complex trait (polygenic inheritance) Locus heterogeneity (act independently) or Epistasis (gene interaction) * Gene X environment interactions * Developmental or time-dependent expression of genes * Gene has its most pronounced effect at a certain time or developmental stage (e.g., puberty). * General aging of the system * either through programmatic senescence or general wear and tear
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Linkage vs. Association
inkage = Seeks to identify chromosomal segments shared by affected (family) members * e.g. affected sib pairs * Results in large candidate regions
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Linkage vs. Association
Association = Measures preferential segregation of a particular allele with a phenotype across families * e.g. case control studies * Usually highlight smaller candidate regions
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Genome-wide Association Studies (GWAS)
Test 500K to 1M SNPs across the genome (tags >90% variation) * Test whether a particular allele occurs at higher/lower trequency among attected than unaffected individuals (case-control studies) disease cases controls * Involve population correlation, rather than co-segregation within a family
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Example: GWAS for common diseases/disorders
British Population * ~2000 individuals for each of 7 diseases * Bipolar, Crohn' s, T1D, CAD, T2D, Hypertension, RA * ~3000 shared controls * 50 Research Labs * Non-European ancestry excluded
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Missing heritability - need to go beyond GWAS
Rare variants Need to use very large number of individuals to examine rare variants Some variants may be population specific - replication dificult * Exome Sequencing genome) Examine the few percent of genome that contain exons (~ 1% of * Whole genome sequencing still costly for large numbers
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Adding to the complexity
Phenotypic plasticity (G-E interaction) - Variation, under environmental influence, in the phenotype associated with a genotype - Epigenetics
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