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L29 - Disease Mapping (Study Design Categories (Association Studies -…
L29 - Disease Mapping
Study Design Categories
Association Studies - POPULATIONS
- Sensitive towards association between gene variants within a population - across families
- Population = Large Pedigree
Association (Linkage Disequilibrium)
Association of alleles with disease statusLinkage Disequilibrium (LD)
- Describes the nonrandom/organised association of alleles in the population
- This may be caused by linkage, but we are uncertain because it may also be caused by natural selection, genetic drift etc.
- Alleles at neighbouring loci tend to
co-segregate (segregate together)
Family Based Association
Uses Transmission disequilibrium Test (TDT)*
- Collect affected child and their parents
- Compare the distribution of the transmitted allele to the distribution of the non transmitted allele from parents
Disadvantage
Heterozygosity
- Requires at least one parent to be heterozygous (In order to determine if recombinant or linked) at the marker being tested, therefore power of this approach is significantly lower*
Advantage
Resistant to Bias
- Resistant to potential bias from
population stratification
Transmission Disequilibrium Test
Analyses transmission of alleles to progreny from heterozygous parents
-
- If there is transmission distortion (linkage disequlibrium)
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Population Based Association Study
May use a Case and Control study Design
- Collect affected subjects (cases) and compare genetic variation with unaffected subjects (controls).
- Compare frequency of genetic components between two groups.
Advantages
Powerful
- Quite powerful to detect
relatively small genotypic effects,
even in modest samples of
cases and controls (ex. 100-500
of each)
Easy
- To collect the cases and
controls or general population
samples*
Disadvantage
Requires Population stratification
- If there are underlying differences between the cases and controls that are unrelated to disease risk, false positive results are more likely.
Spurious Association resulting from stratification is caused by;
- Unequal proportions of individuals from sub-populations found between case and controls
- Individuals from sub-populations have differen allelic freuqencies at the locus
Population Stratification
To avoid population stratification and limit confounding
Family based controls
e.g. TDT looks at number of parents heterozygous for an allele that pass that allele to affected offspring compared with the non-disease allele. This is equivalent to a population based association study, just within a family context
‘Genetic control’: extra genotyping
Look for evidence of background population substructure and account for it.
Association - allelic linkage
The reason why we can rely upon population based association studies to determine linkage between marker and disease causing gene
Markers remain in linkage disequilibrium with mutation over the course of many generations - even tracing back to the original mutation event.
So long as the marker is very close to the disease-causing variant, it is likely that it will remain linked over generations
Mapping with Linkage Disequilibrium
- Population based
- Look for variant allele in LD with disease
- If most affected individuals in a population share the same mutant allele, then LD can be used to locate the chromosomal region harbouring the mutant allele
Markers proximal to the disease allele enjoy higher rates of linkage disequilibrium than marker alleles located distally
Mapping
The correlation (i.e. LD) is based on founder effect:
- The disease allele originates from mutation on a certain ancestral chromosome.
- From this ancient mutation, the majority of disease alleles existing presently are derivatives of that original mutation*
The marker itself is NOT the reason for the
disease, it is important simply because it's located nearby the suspected gene
Proximity translates to correlation between the marker allele/haplotype and the disease gene
-
Linkage Analysis - FAMILIES
- Follows meiotic evens through famlies
- Searches for co-segregation of disease genes and particular genetic markers
-
Linkage vs. Association
Linkage analyses (Linkage Mapping)
Searching for relationships between a marker and disease gene within a family (could be different marker in each family)
Localisation
Linkage Analysis (Linkage Mapping)
- Yields broad chromosome region harbouring many genes
- Resolution drawn from assessing meioses (recomb. events) in families
- Effective as requires few markers, limited in finding specific variants
Combined with gene sequencing, it is a formidable tool
Differences
- Linkage is resulted from recombination events in the last 2-3 generations, LD is resulted from much earlier, ancestral recombination events
- Linkage measures co-segregation in a pedigree, LD measures co segregation in a population (essentially a very huge pedigree)
- Linkage is usually detected for markers reasonably close to the disease gene (1 Mb?), LD is detected for markers** even closer (10
20 kB)**
- Linkage is good for Mendelian diseases, LD better for complex disease?*
Association Analysis (Linkage Disequilibrium Mapping)
- Yields fine scale resolution of genetic variants
- Resolution comes from analysis of ancestral recombination events (meioses)
- Effective in finding specific variants, limited in requiring many markers
-
Association analyses (Linkage Disequilibrium Mapping)
Searching for relationship between a marker and a disease gene between families
(must be same marker in all families)
-
Genetic Molecular Markers
Relies upon Single Nucleotide Polymorphism (SNPs)
Variation of single base pair on genome
Genome Wide Association Sudies
The more distant a common ancestor, the smaller each shared
segment, but the number of people sharing will be greater
eg. Sharing of two segments on a single chromosome extends to all 8 individuals in generation IV
Extent of sharing greatest in sibs, but decreases the further individuals separated from common ancestor*
Linkage
Genetic markers co-segregate with diseases
Genetic Association - Linkage DisequilibriumCertain alleles associated with disease status

A = Transmitted,
a = non-transmitted
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Diversity between comparison populations may falsely suggest that an (inconsequential) variant is causing the disease. Keep populations similiar to avoid confounding