Genetics of common disease Flashcards

1
Q

Familial clustering

A

Phenotypes and disorders, that occur more likely in families than unrelated individuals

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2
Q

Genes and the environment

A

They don’t occur with single gene/mendelian disorders - they occur with a mixture of genes and environment

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3
Q

Main point

A

A person will have a complex disorder/trait if they have the right combination of genetic differences and environmental exposures.

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4
Q

Twin studies

A

Monozygotic twins - Share 100% of germline genetic variation

Dizygotic twins - Share 50% of germline genetic variation

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5
Q

Estimating heritability

A

Heritability (h2) is the proportion of variation in a trait explained by inherited genetic variants

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6
Q

Correlation

A

1 indicates a strong positive relationship
-1 indicates a strong negative relationship
0 indicates no relationship at all

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7
Q

Electrocardiogram

A
  • Cardiac conductivity : ElectroCardioGram

* ECG Intervals measured in ms

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8
Q

Heritability of cardiac electrical function

A

h2 scored between 0 and 1

High heritability = strong resemblance

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9
Q

What do you do after heritability?

A

GWAS
Once you have determined that a phenotype/disease is influenced by genetic variation i.e. the trait heritability is >0.4 the next step is to identify what that genetic variation is.

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10
Q

Heritability - genetic susceptibility

A

13,000 adult same-sex twins from the UK, recruited since the 1990s.
>3000 traits have been measured in these twins.
Many published heritability studies.

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11
Q

Genetic association study

A

What are the genetic variants that are associated with variation in human disease risk, or a human trait/phenotype?
Categorical: disease yes/no
Continuous: BMI, heart rate, height

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12
Q

Common variation

A

Our genomes vary from person to person.
Often, a difference will be in just one base pair.
These variations are called:
SINGLE-NUCLEOTIDE POLYMOPRHISMS (SNPs)*
They are the most common variation in human genome.

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13
Q

Genotyping loads of SNPs

A

Commercial probe-based SNP array platforms (e.g. Illumina) can now genotype, with >99% accuracy, about one million SNPs in an individual in one assay.

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14
Q

Linkage disequilibrium and SNP array design

A

Rather than directly measuring genotypes at all genetic polymorphisms, we rely on association between the polymorphisms we do assay and those which we do not assay.
SNP-SNP association, or linkage disequilibrium (LD), is fundamental to our ability to sample the whole genome with relatively few SNPs.

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15
Q

Linkage disequilibrium

A

Linkage Disequilibrium is defined as the difference between the observed frequency of a particular combination of alleles at two loci and the frequency expected for random association.

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16
Q

LD and SNPs

A

In general, LD between two SNPs decreases with physical distance as more likely to have a recombination event between them.
Extent of LD varies greatly depending on region of genome i.e. recombination hot spots.
If LD strong, need fewer SNPs to capture variation in a region – cheaper and easier/quicker to analyse.
The first SNP chips had at least 317,000 SNPs distributed across the genome.
Newest: >1 million.

17
Q

GWAS

A

Variants associated with the disease/trait (or within the same haplotype as a variant associated with a disease), will be found at a higher frequency in cases than in controls.
Statistical analysis is carried out to indicate how likely a variant is to be associated with a trait.

18
Q

Goal of GWAS

A

• Identify genetic regions that explain differences in phenotype among individuals in a study population
i.e. to better understand the biology of the disease/phenotype
• To identify genetic variants that can be measured to determine whether an individual is at higher risk of disease
• To identify potential drug targets to treat the disease