Introduction to Medical Genetics

advertisement

Human Genetic Variation

Weibin Shi

Genetic variations underlie phenotypic differences

Wilt Chamberlain, a famous NBA basketball player

(7 feet, 1 inch; 275 pounds)

Willie Shoemaker, a famous horse racing jockey

(4 feet, 11 inches; barely 100 pounds).

Genetic variations cause inherited diseases

Genetic Diseases

- Cystic fibrosis

- Down syndrome

- Sickle cell disease

- T urner syndrome

Complex Diseases Environmental

Diseases

- Alzheimer disease

- Cardiovascular

Disease

- Diabetes (type 2)

- Parkinson Disease

- Influenza

- Hepatitis

- Measles

Environment Genes

Basic terminology

 Locus – location of a gene/marker on the chromosome.

 Allele – one variant form of a gene/marker at a particular locus .

Locus1

Possible Alleles: A1,A2

Locus2

Possible Alleles: B1,B2,B3

-

-

-

A little more basic terminology

Polymorphism :

Variations in DNA sequence (substitutions, deletions, insertion, etc) that are present at a frequency greater than 1% in a population.

Have a WEAK EFFECT or NO EFFECT at all.

Ancient and COMMON.

-

-

-

Mutation

:

Variations in DNA sequence (substitutions, deletions, etc) that are present at a frequency lower than 1% in a population.

Can produce a gain of function and a loss of function.

Recent and RARE.

Some Facts

 In human beings, 99.9% bases are same

 Remaining 0.1% makes a person unique

Different attributes / characteristics / traits

• how a person looks

• diseases he or she develops

 These variations can be:

Harmless (change in phenotype)

Harmful (diabetes, cancer, heart disease, Huntington's disease, and hemophilia )

Latent (variations found in coding and regulatory regions, are not harmful on their own, and the change in each gene only becomes apparent under certain conditions e.g. susceptibility to heart attack)

Forms of genetic variations

Single nucleotide substitution: replacement of one nucleotide with another

Microsatellites or minisatellites : these tandem repeats often present high levels of inter- and intra-specific polymorphism

Deletions or insertions : loss or addition of one or more nucleotides

Changes in chromosome number, segmental rearrangements and deletions

How many variations are present in the average human genome ?

SNPs appear at least once per 0.3-1-kb average intervals.

Considering the size of entire human genome (3.2X10

9 bp), the total number of SNPs is around to 5-10 million

Potentially polymorphic microsatellites are over 100,000 across the human genome

The insertion/deletions are very difficult to quantify and the number is likely to fall in between SNPs and microsatellites

How do we find sequence variations?

• look at multiple sequences from the same genome region

• use base quality values to decide if mismatches are true polymorphisms or sequencing errors

Vcam1 : Coding-NonSynonymous

AGGAAAAGAACATAACAAG A ACTATTTTTCGCCCGAACTC B6

AGGAAAAGAACATAACAAG G ACTATTTTTCGCCCGAACTC C3H

B6

C3H

Human Genetic Variation

Most abundant type:

SNPs-Single Nucleotide Polymorphisms

GATTTAGATC G CGATAGAG

GATTTAGATC T CGATAGAG

^ about 90% of all human genetic variations

What is the difference between

SNP and mutation?

For a variation to be considered a SNP, it must occur in at least 1% of the population .

Life cycle of SNP

(long way from mutation to SNP)

Appearance of new variant by mutation

Survival of rare allele

Increase in allele frequency after population expand

New allele is fixed in population as novel polymorphism

Basic facts about SNPs

 SNPs occur every 300-1000 bases in human genome;

 Two of every three SNPs involve the replacement of cytosine (C) with thymine (T);

 SNPs can occur in both coding (gene) and noncoding regions of the genome;

 Many SNPs have no effect on cell function , but others could predispose people to disease or influence their response to a drug.

Single base changes

 Transitions

Purine to purine or pyrimidine to pyrimidine

A to G or G to A T to C or C to T

 Transversions

Purine to pyrimidine or pyrimidine to purine

SNP Databases

•NCBI dbSNP http://www.ncbi.nlm.nih.gov/SNP/index.html

•Human Genome Variation Database (HGVbase) http://hgvbase.org/

International HapMap Project http://snp.cshl.org/

Classification of SNPs

 1. Coding SNPs

Synonymous: when single base substitutions do not cause a change in the resultant amino acid

Non-synonymous: when single base substitutions cause a change in the resultant amino acid

 2. Non-coding SNPs that influence gene expression

 3. Non-coding silent SNPs

SNPs as gene mapping markers

SNPs are used as genetic markers to identify genes responsible for disease susceptibility or a particular trait.

Point mutations

 Not all single base pair differences are SNPs

 They can be a mutation if least abundant allele has a frequency < 1% in a population

Causes of gene mutations

Consequences of mutations

-

-

-

 Most mutations are neutral

97% DNA neither codes for protein or RNA, nor indirectly affects gene function

A new variant in the 1.5% coding regions may not result in a change in amino acid

Variants that change amino acid may not affect function

-

-

 Certain mutations have functional effect and even cause disease

Gain-of-function mutations often produce dominant disorders

Loss-of-function mutations result in recessive disease

Consequences of mutations

 Missense mutations differ in severity

 conservative amino acid substitution substitutes chemically similar amino acid, less likely to alter function nonconservative amino acid substitution substitutes chemically different amino acid, more likely to alter function

 consequences for function often context-specific

 Nonsense mutation results in premature termination of translation

 truncated polypeptides often are nonfunctional

 Point mutation in non-coding region may affect transcription, RNA splicing, and protein assembling

Microsatellite

di-, tri-, and tetra-nucleotide repeats

TGC C A C A C A C A C A C A C A C A GC

TGC C A C A C A C A C A ------GC

TGC T C A T C A T C A T C A GC

TGC T C A T C A ------GC

TGC T C AG T C AG T C AG T C AG GC

TGC T C AG T C AG --------GC

The second abundant genetic variation in the human genome

Usually have no functional effect, but some do

Trinucleotide repeats-associated diseases

 Characterized by expansion of threebase-pair repeats

 few repeats to hundreds of repeats expansion results in abnormal protein, disease number of repeats may expand in subsequent generations

Triplet repeat expansion

Huntington disease

 Kennedy disease

Normal Disease Gene

CAG 9-35 37-100 Huntingtin

CAG 17-24 40-55 a ndrogen receptor

 Spino-cerebellar Ataxia CAG 19-36 43-81 Ataxin 1

 Machado Joseph D

 Myotonic dystrophy

CAG 12-36 67-75

CTG 5-35 50-400

SCA

DM

 Fragile X CGG CCG GCC 6-50 200-1000 FMR1

Many result in neurodegeneration

Severity of many diseases increases with the number of repeats

Minisatellite

• 6-64 bp repeating pattern

1 tgattggtct ctctgccacc gggagatttc cttatttgga ggtgatggag gatttc agga

61 attttttagg aattttttta atggattacg ggattttagg gttctaggat tttaggatta

121 tggtatttta ggatttactt gattttggga ttttaggatt gagggatttt agggtttcag

181 gatttcggga tttcaggatt ttaagttttc ttgattttat gattttaaga ttttaggatt

241 tacttgattt tgggatttta ggattacggg attttagggt ttcaggattt cgggatttca

301 ggattttaag ttttcttgat tttatgattt taagatttta ggatttactt gattttggga

361 ttttaggatt acgggatttt agggtgctca ctatttatag aactttcatg gtttaacata

421 ctgaatataa atgctctgct gctctcgctg atgtcattgt tctcataata cgttcctttg

These occur at more than 1000 locations in the human genome

Usually have no functional effect

Transposon and mutation

Transposons are interspersed DNA repeats that can cause mutations and change the amount of DNA in the genome

Nondisjunction Trisomy

Trisomy 21

Down Syndrome

Down Syndrome

 1 per 800 births

 Large tongue

 Flat face

 Slanted eyes

 Single crease across palm

 Mental retardation

Some are not

Turner Syndrome

Turner Syndrome

 Short

 Absence of a menstrual period

 Produce little estrogen

 Sterile

 Extra skin on neck

Mutation

 Gene directly leads to disorder

 Mendelian pattern of inheritance

 Rare

Polymorphism

 Gene confers an increased risk, but does not directly cause disorder

 No clear inheritance pattern

 Common in population

Download