Introductory Genetics paulj/intro_genetics.ppt.

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Introductory Genetics http://www.stats.gla.ac.uk/~paulj/ intro_genetics.ppt

Transcript of Introductory Genetics paulj/intro_genetics.ppt.

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Introductory Genetics

http://www.stats.gla.ac.uk/~paulj/intro_genetics.ppt

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Overview of talks

• This talk: broad overview of genetics• Future talks: genetic data analysis

– Important general genetic concepts• heritability, penetrance, linkage/linkage disequilibrium, Hardy-

Weinberg equilibrium– Types of genetic analysis

• association analysis– family-based vs population-based– candidate gene vs genome scan– genotype v haplotype– problems: population stratification, missing data, data errors,

inferring haplotypes • twin studies

– “Omics”: genomics, proteomics, metabolomics, genetical genomics, integrative genomics

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Overview of this talk

• Why genetics is important• How genes work• Mendel’s laws of inheritance for simple genetic traits• “Post-genomic” genetics

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Why genetics is important

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G×E interaction

Health

Genetics

Environment

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ISI Web of Science topic search for "genetic AND disease"

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How genes work

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What is a gene?

• A gene is a stretch of DNA whose sequence determines the structure and function of a specific functional molecule (usually a protein)

DNA

Protein

…GAATTCTAATCTCCCTCTCAACCCTACAGTCACCCATTTGGTATATTAAAGATGTGTTGTCTACTGTCTAGTATCC…

Computer program

Specific function

…function sf(){document.f.q.focus()}…

Working copymRNA

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Genes are located in the cell nucleus on chromosomes

Karyotype

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Down syndrome karyotype (trisomy 21)

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DNA(deoxyribonucleic acid)

mR

NA

Protein

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Transcription movie

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Translation

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Translation

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Translation

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Translation movie

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Gene expression movie

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Summary

• A gene is a length of DNA that contains instructions for making a specific protein

• Genes are arranged along 23 pairs of chromosomes in the cell nucleus

• Genes work by specifying the amino acid sequence of a protein

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Mendel’s laws

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Genetic knowledge used for 1000s of years: agriculture

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Patterns of disease inheritance known for 1000s of years, e.g. haemophilia

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Mendel deduced the underlying principles of genetics from these patterns

1. Segregation

2. Dominance

3. Independent assortment

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Mendel’s experiments

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Mendel’s data

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Mendel’s law of segregation

• A normal (somatic) cell has two variants (alleles) for a Mendelian trait.

• A gamete (sperm, egg, pollen, ovule) contains one allele, randomly chosen from the two somatic alleles.

• E.g. if you have one allele for brown eyes (B) and one for blue eyes (b), somatic cells have Bb and each gamete will carry one of B or b chosen randomly.

B b

B BB Bb

b Bb bbEggs

Sperm

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Mendel’s law of dominance

• If your two alleles are different (heterozygous, e.g. Bb), the trait associated with only one of these will be visible (dominant) while the other will be hidden (recessive). E.g. B is dominant, b is recessive.

B b

B BB Bb

b Bb bbEggs

Sperm

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Mendel’s law of dominance

• If your two alleles are different (heterozygous, e.g. Bb), the trait associated with only one of these will be visible (dominant) while the other will be hidden (recessive). E.g. B is dominant, b is recessive.

B b

B BB Bb

b Bb bbEggs

Sperm

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Terminology…

• Haploid: containing one copy of each chromosome (n=23)

B b

B BB Bb

b Bb bbEggs

Sperm

• Diploid: containing two copies of each chromosome

(2n=46)

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Terminology…

• Genotype: the states of the two alleles at one or more locus associated with a trait

• Phenotype: the state of the observable trait

Genotype Phenotype

BB (homozygous) Brown eyes

Bb (heterozygous) Brown eyes

bb (homozygous) Blue eyes

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Mendel’s law of independent assortment

• Knowledge of which allele has been inherited at one locus gives no information on the allele has been inherited at the other locus

S/s Y/y

SY Sy sY sy

25% 25% 25% 25%

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Mendel’s law of independent assortment

S Y

s y

Gametophytes(gamete-producing cells)

S Y

s yGametes

A b

a BRecombinants

Segregation

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Mendel’s law of independent assortment

S Y

s y

Gametophytes(gamete-producing cells)

S Y

s yGametes

S y

s YRecombinants

Recombination

Segregation

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Statistical aside: Mendel’s data too good to be true?

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• Simplified view of eye colour inheritance: biallelic Mendelian trait

– Brown dominant: BB, Bb

– Blue recessive: bb

Human eye colour

B b

B BB Bb

b Bb bbEggs

Sperm

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Human eye colour

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What is the probability of a child being born with blue eyes?

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Human eye colour

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Human eye colour

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B?

B?B?B? bb

bb B?

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Human eye colour

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Bb

BbBbB? bb

bb B?

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Human eye colour

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Bb

BbBb

B?

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Human eye colour

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BbP(BB)=1/3

BbBb

P(Bb)=2/3

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Human eye colour

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BbP(BB)=1/3

BbBb

P(Bb)=2/3

P(b)=2/3x1/2=1/3 P(b)=1/2

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Human eye colour

?

BbP(BB)=1/3

BbBb

P(Bb)=2/3

P(b)=2/3x1/2=1/3 P(b)=1/2

P(bb)=1/3x1/2=1/6

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• Haemophilia A• Males with a mutant gene are

affected• Females with one mutant gene

are unaffected carriers

Non-Mendelian inheritance: Haemophilia

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Non-Mendelian inheritance: additive traits

Dominant vs additive inheritance

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Non-Mendelian inheritance: additive traits

Brown eye colour is dominant

Dominant vs additive inheritance

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Non-Mendelian inheritance: additive traits

Snapdragon red colour is additive

Dominant vs additive inheritance

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Non-Mendelian inheritance: polygenic traits

Distribution of trait measures for single gene additive trait

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Non-Mendelian inheritance: polygenic traits

Distribution of trait measures for polygenic additive trait (2 loci)

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Non-Mendelian inheritance: polygenic traits

Distribution of trait measures for polygenic additive trait (10 loci)

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Non-Mendelian inheritance: polygenic traits

For example, height

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Non-Mendelian inheritance: mtDNA

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Phenotypes associated with mtDNA mutations

• Longevity• Optic neuritis• Occipital stroke in migraine• Asthenozoospermia • Migraine without aura• Cyclic vomiting syndrome• Bipolar disorder• Athletic performance

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Summary

• Mendel deduced three simple laws of inheritance:– Segregation– Dominance– Random assortment

• The majority of traits don’t follow these rules but Mendel’s laws are nevertheless crucial to understanding almost all genetic inheritance

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“Post-genomic” genetics

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Human Genome Project

• Sequenced almost all 3 billion DNA base pairs (2003)• Current work includes:

– ENCODE Project (ENCyclopedia Of DNA Elements) to characterise functional elements in genome

• 20,000-25,000 genes (1.5% of genome)• The bits in between (98.5% of genome)

– Characterise human DNA sequence variation• Find and describe DNA sequence variation (International

HapMap Project) • Find significance of sequence variation (e.g. contribution to

complex diseases)

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HapMap project

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Frequency

Case 0.200

Control 0.165

Odds ratio: 1.26

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1. Eye-catching headline of the form “Gene for…”

2. Highly qualified factual paragraph

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HTR1D

HTR1D

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Summary

• Post-genomic genetics has enormous promise for tracking down the genes involved in common complex diseases

• Currently our ability to exploit this potential is limited by– study size– difficulty of correcting for confounding factors