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Complex Disease and Susceptibility

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Title: Complex Disease and Susceptibility


1
Complex Disease and Susceptibility
Gene
Gene
Gene
Gene
Environment
Disease A
Disease B
Disease C
Multifactorial disorders
2
Complex Disease and Susceptibility
  • Single gene disorders
  • Huntingtons
  • Fragile X
  • SCA1
  • DMD
  • Werners syndrome
  • Cystic fibrosis
  • Multifactorial
  • Heart disease
  • Cancer
  • Stroke
  • Asthma
  • Diabetes
  • Alzheimers
  • Parkinsons

3
  • Cancer Statistics
  • 68 of new cases involve individuals 60 years
    and older
  • Why does cancer incidence
  • increase with age?
  • Cancer is the natural endpoint of a
    multicellular animal
  • Balance between mutation rate and losing control

4
  • Genetic Mutations Leading to Cancer
  • 6-hit model
  • 10-7 mutations per gene per cell generation
  • 1013 cells in a human
  • For one cell to collect 6 mutations
  • 10-42 x 1013 10-29
  • Thus, 1 in 1029 chance
  • Then why do we get cancer?

5
  • Genetic Mutations Leading to Cancer
  • Multistage evolution model
  • Successive mutations provide a growth advantage,
    expanding that population of mutants
  • Genomic instability occurs when DNA repair
    mechanisms are mutated

6
Genes altered in Cancer
Tumor Suppressors APC Axin p53 PTEN Rb TSC1,2 p1
6 INK4A
Oncogenes EGFR PDGFR ABL SRC PI3K Akt Bcl2 b-cat
enin
Genomic Stability ATM BRCA1BRCA2 BARD XPA
7
p53 Guardian of the Genome
G1
M
G1/S
G2/M
S
G2
8
Genes altered in Cancer
Tumor Suppressors APC Axin p53 PTEN Rb TSC1,2 p1
6 INK4A
Oncogenes EGFR PDGFR ABL SRC PI3K Akt Bcl2 b-cat
enin
Genomic Stability ATM BRCA1BRCA2 BARD XPA
9
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By Clark et al Part B Cropped from original Fig
1 by SLE346_B3 CC BY-SA 3.0 (http//creativecommo
ns.org/licenses/by-sa/3.0)
14
Ceshi Chen, Arun K. Seth and Andrew E. Aplin
15
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16
Complex Disease and Susceptibility
  • Single gene disorders
  • Huntingtons
  • Fragile X
  • SCA1
  • DMD
  • Werners syndrome
  • Cystic fibrosis
  • Multifactorial
  • Heart disease
  • Cancer
  • Stroke
  • Asthma
  • Diabetes
  • Alzheimers
  • Parkinsons

17
Genetic Component in Complex Disorders
  • Relative risk
  • lr frequency in relative of affected person
  • Population frequency

18
Genetic Component in Complex Disorders
  • Family Studies

Class of relative Proportion of genes shared Examples
First degree 50 Parent/child, siblings
Second degree 25 Grandparent/grand-child, aunt/niece
Third degree 12.5 Cousins
19
Genetic Component in Complex Disorders
  • Problem of environmental impact

Congenital Malformations Cleft lip Pyloric stenosis
General population 0.001 0.001
First degree relatives X40 (0.04) X10 (0.01)
Second degree relatives X7 X5
Third degree relatives X3 X1.5
20
Genetic Component in Complex Disorders
Disorder Monozygotic Dizygotic
Breast cancer 6.5 5.5
Type I diabetes 30 5
Type II diabetes 50 30
Multiple sclerosis 20 6
Peptic ulcer 64 44
Rheumatoid arthritis 50 8
Tuberculosis 51 22
21
Genetic Component in Complex Disorders
Disorder Monozygotic Dizygotic
Alcoholism 40 20
Autism 60 7
Schizophrenia 44 16
Alzheimers 58 26
Dyslexia 64 40
22
Genetic Component in Complex Disorders
  • In polygenic diseases, risk (susceptibility)
    alleles increase the phenotypic value
  • Traits may appear continuously variable
  • Traits may appear discontinuous

23
Genetic Component in Complex Disorders
  • How to find susceptibility gene?
  • Four main approaches
  • Candidate gene
  • Parametric linkage analysis
  • Non-parametric linkage analysis
  • Population association studies

24
Candidate gene
1
  • Before searching the whole genome, think about
    what genes may be involved
  • Eg., Type I diabetes
  • Some genes involved in cell-mediated immunity are
    located on chromosome 6 (Human leukocyte antigen
    region)
  • Linkage between Type I diabetes and HLA was
    closely examined
  • After a small genomic region is isolated,
    determine best candidate gene

25
Parametric Linkage Analysis
2
  • Standard LOD score analysis, as used for
    single-gene disorders

26
Parametric Linkage Analysis
2
  • Eg., breast cancer susceptibility genes
  • Collect family history of gt1500 breast cancer
    patients
  • Some family histories showed multiple cases
    occurring at early ages could be a Mendelian
    allele segregating
  • Best model suggested a dominant single-gene
    allele with a population frequency of 0.0006
    this suggested about 5 of total breast cancers

27
Parametric Linkage Analysis
2
  • Eg., breast cancer susceptibility genes
  • Collect family history of gt1500 breast cancer
    patients
  • Now, look for families with multiple breast
    cancer cases with early onset
  • Genotype family members and look for linkage
  • Linkage (significant LOD score) to breast cancer
    was found to a marker on 17q21

28
Parametric Linkage Analysis
2
  • Eg., breast cancer susceptibility genes
  • Collect family history of gt1500 breast cancer
    patients
  • The gene involved was cloned, like other
    single-gene disorders
  • Breast cancer (BRCA) 1 gene tumor suppressor
    gene involved in genomic stability
  • LOH leads to high penetrance of breast cancer, as
    well as ovarian cancer

29
Parametric Linkage Analysis
2
  • Eg., breast cancer susceptibility genes
  • Collect family history of gt1500 breast cancer
    patients
  • However, examination of BRCA1 mutations outside
    of affected families suggests lower penetrance

30
Parametric Linkage Analysis
2
  • Other successes in finding Mendelian risk factors
    in polygenic diseases
  • HNPCC non-polyposis colon cancer
  • MSH1, MLH1, PMS1, PMS2
  • FAP familial polyposis colon cancer
  • APC
  • Premature heart disease - hypercholesterolemia
  • Mutation of the LDL receptor

31
Parametric Linkage Analysis
2
  • Familial hypercholesterolemia
  • Autosomal dominant

32
Parametric Linkage Analysis
2
  • Familial hypercholesterolemia
  • 200 mg/dl - 350 mg/dl - dietary, common
  • 400 mg/dl - 600 mg/dl - heterozygous, uncommon
  • gt600 mg/dl - homozygous, rare

33
Parametric Linkage Analysis
2
  • Familial hypercholesterolemia
  • Autosomal dominant allele frequency about 1150

34
Parametric Linkage Analysis
2
  • Spectacular misfires as well
  • Bi-polar disease (manic depression)
  • Initial linkage to HRAS and INS on chromosome 11
  • LOD scores of 4.08 and 2.63
  • Two individuals in extended family misdiagnosed
  • Lowered LOD score to 1.03 and 1.75

35
Non-parametric Linkage Analysis
3
  • Genomic regions surrounding risk alleles will be
    inherited from a common ancestor in affected
    individuals to a greater frequency than by chance
    also called autozygosity mapping
  • Search for commonly inherited regions by
    polymorphic microsatellites, SNPs, etc.
  • High throughput analysis critical

36
Non-parametric Linkage Analysis
3
  • Common to use Affected Sib-Pairs (ASP)
  • Collect genotypic data for 100s of ASP
  • 300 microsatellite markers genotyped for 10cM
    coverage
  • Look for significant IBD (gtchance occurrence)

37
Non-parametric Linkage Analysis
3
  • IBD if parental alleles differ at locus, then
    sibs that have both alleles in common are
    identical by decent
  • IBS if parental alleles are not know, then we
    can only say sibs are identical by state

38
Population association studies
4
  • Association studies are carried out on
    populations
  • Look for alleles that segregate with the disease
    in a whole population
  • Direct causation
  • Natural selection
  • Linkage disequilibrium

39
Population association studies
4
  • Linkage disequilibrium
  • Combination of alleles at two closely linked loci
    occur more often than expected by chance from
    population frequencies
  • Recombination reduces linkage disequilibrium

40
Population association studies
4
  • Linkage disequilibrium vs. Linkage Mapping
  • Mapping is performed on families with few
    informative meiosis LD is determined on
    populations after many generations
  • Mapping will show linkage over large distances
    LD is visible only over short distances

41
Genetic Component in Complex Disorders
  • How to find susceptibility genes?
  • Four main approaches
  • Candidate gene
  • Parametric linkage analysis
  • Non-parametric linkage analysis
  • Population association studies

42
Alzheimers Disease (AD)
  • North America 0.1 at 60, 10 at 80, 30 at 90
  • Early onset lt60
  • Neurofibrillary tangles in the cerebral cortex
    and amyloid plaques in the brain
  • Neuronal apoptosis occurs in the hippocampus and
    cerebral cortex memory and learning

43
Alzheimers Disease (AD)
  • Neurofibrillary tangles polymerized tau protein
  • Amyloid plaques deposition of the b-amyloid
    protein

44
Alzheimers Disease (AD)
  • Apoptosis of neuronal cells
  • Sometimes called Programmed cell death
  • Energy-utilizing program of orderly
    self-destruction
  • Organized dismantling of the cell to avoid
    autoimmune reaction

45
Apoptosis
46
Apoptosis
  • Activation of proteases (cysteine-aspartic acid
    specific called Caspases)
  • Cascade of irreversable proteolysis
  • Activation of endonuclease chops up the cells
    DNA no going back now!

47
Apoptosis
  • Apoptosis occurs
  • During development
  • Removal of immunological cells
  • In cells with DNA damage
  • Defeated in cancer cells
  • Neuronal cells maintain survival by exposure to
    neurotrophins

48
Search for Susceptibility Alleles for Alzheimers
Disease
  • Some clues as to causative agents of AD
  • Down syndrome individuals develop clinical
    features of AD when they live gt30 years
  • Suggested that chromosome 21 may be involved in
    AD
  • Parametric linkage analysis located a locus on
    chromosome 21q in early-onset familial AD

49
Causative genes in AD
  • Amyloid precursor protein (APP) over-abundant in
    Alzheimers and Down syndrome individuals
  • Amyloid precursor protein gene mapped to
    chromosome 21
  • Trisomy 21 causes a over-expression of genes from
    chromsome 21, including APP

50
Causative genes in AD
  • APP a causative agent of AD and involved in
    pathology of Downs syndrome
  • Large transmembrane protein processed by a, b or
    g-secretase
  • a-secretase generates Aa40 protein non-toxic
    and the main protein in normal brain

51
Causative genes in AD
  • b and g-secretase generates Ab42 protein toxic
    and insoluble which forms plaques
  • After APP was found by parametric linkage,
    mutations were found
  • In familial AD, mutations in APP increased the
    amount of Ab42 cleavage

52
Causative genes in AD
  • More parametric linkage analysis within families
    of early-onset AD
  • Presenilin I and II were discovered on chromosome
    14 and 2
  • Presenilin I is a g-secretase leading to
    increased Ab42 secretion

53
Causative genes in AD
  • 1 of AD is familial, and shows strong Mendelian
    inheritance of altered Ab42 generation
  • What about risk alleles in sporadic AD? 99 of
    cases

54
Causative genes in AD
  • Non-parametric linkage analysis was performed on
    Affected Pedigree Member (APM)
  • 32 families in which 87 of 293 members showed AD
  • Linkage with locus on chromosome 19

55
Causative genes in AD
  • In this region was the gene for Apolipoprotein E.
  • ApoE was found in plaques and tangles
  • Good candidate
  • A population association study was performed
  • Three alleles of ApoE were identified
  • ApoE2 (6), ApoE3 (78) and ApoE4 (16)
  • Strong LD was found for allele ApoE4 and several
    nearby SNPs

56
Causative genes in AD
  • ApoE4 is a risk factor Alzheimers disease

ApoE4 dose affected Relative Risk Age of onset
0 20 1 84.3
1 46.6 2.84 75.5
2 91.3 8.07 68.4
57
Summary
  • Family, adoption and twin studies provide
    evidence of genetic component to complex disease
  • Risk of disease is the combined effect of
    polygenes influenced by environment, thus termed
    multifactorial
  • Combined affect of many common alleles each
    providing a small effect, or of a few uncommon
    alleles with large effect
  • Candidate gene, parametric and non-parametric
    linkage analysis, and population association
    analysis are used to find risk factors for
    multifactorial disease
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