Title: Complex Disease and Susceptibility
1Complex Disease and Susceptibility
Gene
Gene
Gene
Gene
Environment
Disease A
Disease B
Disease C
Multifactorial disorders
2Complex 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
6Genes 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
7p53 Guardian of the Genome
G1
M
G1/S
G2/M
S
G2
8Genes 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
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13By 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
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16Complex Disease and Susceptibility
- Single gene disorders
- Huntingtons
- Fragile X
- SCA1
- DMD
- Werners syndrome
- Cystic fibrosis
- Multifactorial
- Heart disease
- Cancer
- Stroke
- Asthma
- Diabetes
- Alzheimers
- Parkinsons
17Genetic Component in Complex Disorders
- Relative risk
- lr frequency in relative of affected person
- Population frequency
18Genetic Component in Complex Disorders
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
19Genetic 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
20Genetic 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
21Genetic Component in Complex Disorders
Disorder Monozygotic Dizygotic
Alcoholism 40 20
Autism 60 7
Schizophrenia 44 16
Alzheimers 58 26
Dyslexia 64 40
22Genetic Component in Complex Disorders
- In polygenic diseases, risk (susceptibility)
alleles increase the phenotypic value - Traits may appear continuously variable
- Traits may appear discontinuous
23Genetic Component in Complex Disorders
- How to find susceptibility gene?
- Four main approaches
- Candidate gene
- Parametric linkage analysis
- Non-parametric linkage analysis
- Population association studies
24Candidate 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
25Parametric Linkage Analysis
2
- Standard LOD score analysis, as used for
single-gene disorders
26Parametric 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
27Parametric 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
28Parametric 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
29Parametric 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
30Parametric 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
31Parametric Linkage Analysis
2
- Familial hypercholesterolemia
- Autosomal dominant
32Parametric 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
33Parametric Linkage Analysis
2
- Familial hypercholesterolemia
- Autosomal dominant allele frequency about 1150
34Parametric 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
35Non-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
36Non-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)
37Non-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
38Population 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
39Population 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
40Population 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
41Genetic Component in Complex Disorders
- How to find susceptibility genes?
- Four main approaches
- Candidate gene
- Parametric linkage analysis
- Non-parametric linkage analysis
- Population association studies
42Alzheimers 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
43Alzheimers Disease (AD)
- Neurofibrillary tangles polymerized tau protein
- Amyloid plaques deposition of the b-amyloid
protein
44Alzheimers 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
45Apoptosis
46Apoptosis
- 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!
47Apoptosis
- 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
48Search 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
49Causative 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
50Causative 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
51Causative 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
52Causative 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
53Causative 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
54Causative 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
55Causative 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
56Causative 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
57Summary
- 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