applications of genome sequencing projects

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Applications of genome sequencing projects http://www.ornl.gov/hgmis/project/benefits.html 4) Bioarchaeology, anthropology, human evolution, human migration 5) DNA forensics 6) Agriculture, livestock breeding, and bioprocessing 1) Molecular Medicine 2) Energy sources and environmental applications 3) Risk assessment

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Applications of genome sequencing projects. 1)   Molecular Medicine 2)  Energy sources and environmental applications 3)  Risk assessment. 4)  Bioarchaeology, anthropology, human evolution, human migration 5)  DNA forensics 6) Agriculture, livestock breeding, and bioprocessing. - PowerPoint PPT Presentation

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Page 1: Applications of genome sequencing projects

Applications of genome sequencing projects

http://www.ornl.gov/hgmis/project/benefits.html

4)  Bioarchaeology, anthropology, human evolution, human migration 5)  DNA forensics 6) Agriculture, livestock breeding, and bioprocessing

1)   Molecular Medicine 2)  Energy sources and environmental applications 3)  Risk assessment

Page 2: Applications of genome sequencing projects

Molecular medicine

improved diagnosis of disease

• earlier detection of genetic predisposition to disease

• Rational drug design• Gene therapy and control systems for drugs • pharmacogenomics "custom drugs"

Page 3: Applications of genome sequencing projects

DefinitionsDNA polymorphism: A DNA sequence that occurs in two or more

variant formsAlleles: any variations in genes at a particular location (locus)Haplotype: combination of alleles at multiple, tightly-linked loci that

are transmitted together over many generations Anonymous locus : position on genome with no known functionDNA marker: polymorphic locus useful for mapping studiesRFLP Variation in the length of a restriction fragment due to nucleotide

changes at a restriction site, detected by a particular probe / PCR.SNP: presence of two different nucleotides at the same loci in genomic

DNA from different individualsDNA fingerprinting: Detection of genotype at a number of unlinked

highly polymorphic loci using one probeGenetic testing: Testing for a pathogenic mutation in a certain gene

in an individual that indicate a person’s risk of developing or transmitting a disease

Page 4: Applications of genome sequencing projects

The spectrum of human diseases

Cystic fibrosis thalassemia

Huntington’s

cancer

<5%

Page 5: Applications of genome sequencing projects

‘Mendelian’ diseases (<5%)

Autosomal dominant inheritance: e.g huntington’s disease

Autosomal codominant inheritance e.g Hb-S sickle cell disease

Autosomal recessive inheritance: e.g cystic fibrosis, thalassemias

X-linked inheritance: e.g Duchenne muscular dystrophy (DMD)

Page 6: Applications of genome sequencing projects

How to identify disease genes

• Identify pathology• Find families in which the disease is

segregating• Find ‘candidate gene’• Screen for mutations in segregating

families

Page 7: Applications of genome sequencing projects

How to map candidate genes2 broad strategies have been used

A. Position independent approach (based on knowledge of gene function) 1)  biochemical approach

2) animal model approach

B. Position dependent approach (based on mapped position)

Page 8: Applications of genome sequencing projects

Position independent approachPosition independent approach1) Biochemical: when the causative protein

has been identified E.g. Factor VIII haemophilia

Blood-clotting cascade in

which vessel damage causes a

cascade of inactive

factors to be converted to active factors

Page 9: Applications of genome sequencing projects

Blood tests determine if active form of each factor in the

cascade is present

Fig. 11.16 c

Page 10: Applications of genome sequencing projects

Techniques used to purify Factor VIII and clone the gene

Fig. 11.16 dFig. 11.16 d Hartwell

Page 11: Applications of genome sequencing projects

2) Animal model approachcompares animal mutant models for a phenotypically similar human disease. E.g. Identification of the SOX10 gene in human Waardenburg syndrome4 (WS4)

Dom (dominant megacolon) mutant mice shared phenotypic traits similar to human patient with WS4 (Hirschsprung disease, hearing loss, pigment abnormalities)

WS4 patients screened for SOX10 mutations

confirmed the role of this gene in WS4.

Dom mouse

Hirschsprung

Waardenburg

Page 12: Applications of genome sequencing projects

B) Positional dependent approachB) Positional dependent approachPositional cloning

identifies a disease gene based on only approximate chromosomal location. It is used when nature of gene product / candidate genes is unknown.

Candidate genes can be identified by a combination of their map position and expression, function or homology

Page 13: Applications of genome sequencing projects
Page 14: Applications of genome sequencing projects

B) Positional Cloning StepsStep 1 – Collect a large number of affected

families as possible Step 2 - Identify a candidate region based

on genetic mapping (~ 10Mb or more)Step 3 - Establish a transcript map,

cataloguing all the genes in the region Step 4- Identify potential candidate genesStep 5 – confirm a candidate gene and

screen for mutations in affected families

Page 15: Applications of genome sequencing projects
Page 16: Applications of genome sequencing projects

Step 2 - Identifying a candidate regionGenetic map of <1Mb

Genetic markers: RFLPs, SSLPs, SNPs

Linkage association: Lod scores (log of the odds): ratio of the odds that 2 loci are linked or not linkedneed a lod of 3 to prove linkage and a lod of -2 against linkage

Chromosmal abnormalities

Halpotype association

HapMap published in Oct27 2005 Nature

Page 17: Applications of genome sequencing projects

DNA markers/polymorphisms

RFLPs (restriction fragment length polymorphisms)

- Size changes in fragments due to the loss or gain of a restriction site

SSLPs (simple sequence length polymorphisms) or

microsatellite repeats. Copies of bi, tri or tetra nucleotide repeats of differing lengths e.g. 25 copies of a CA repeat can be detected using PCR analysis.

SNPs (single nucleotide polymorphisms)- presence of two different nucleotides at the same loci in genomic DNA from different individuals

Page 18: Applications of genome sequencing projects

RFLPs

Fig. 11.7 – genetics/ Hartwell

- Amplify fragment- Expose to

restriction enzyme- Gel

electrophoresis

e.g., sickle-cell genotyping with a PCR based protocol

Page 19: Applications of genome sequencing projects

SSLPs Similar principles used in detection of RFLPs However, no change in restriction sitesChanges in length of repeats

Page 20: Applications of genome sequencing projects

SNPs (single nucleotide polymorphisms)

SNP detection using allele-specific oligonucleotides (ASOs)

Very short probes (<21 bp) specific which hybridize to one allele or other

ASOs can determine genotype at any SNP locus

Fig. 11.8

presence of two different nucleotides at the same loci in genomic DNA from different individuals

Page 21: Applications of genome sequencing projects

Fig. 11.9 a-c

Page 22: Applications of genome sequencing projects

Hybridized and labeled with ASO for allele 1

Hybridized and labeled with ASO for allele 2

Fig. 11.9 d, e

Page 23: Applications of genome sequencing projects

Step 2 – identifying candidate regions

Chromosomal abnormalities: Rare patients who show chromosomal abnormalities linked to an unexplained phenotype. E.g DMD

Boy’BB’ with a single large Xp21 deletion who had- Duschenne’s muscular dystrophy (DMD gene)- Chronic granulomatoses disease (CYBB gene)- retinitis pigmentosa (RPGR gene)- McLeod phenotype (XK gene)

Page 24: Applications of genome sequencing projects

Step 3 – transcript map which defines all genes within the

candidate region Search browsers e.g. Ensembl Computational analysis

– Usually about 17 genes per 1000 kb fragment– Identify coding regions, conserved sequences

between species, exon-like sequences by looking for codon usage, ORFs, and splice sites etc

Experimental checks – double check sequences, clones, alignments etc

Direct searches – cDNA library screen

Page 25: Applications of genome sequencing projects

Step 4 – identifying candidate genes

Expression: Gene expression patterns can pinpoint candidate genes

Northern blot analysis reveals only one of candidate genes is expressed in lungs and pancreas

RNA expression by Northern blot or RT-PCR or microarrays

Look for misexpression (no expression, underexpression, overexpression)

CFTR gene

Page 26: Applications of genome sequencing projects

Step 4 – identifying candidate genes

Function: Look for obvious function or most likely function based on sequence analysis

e.g. retinitis pigmentosa

Candidate gene RHO part of phototransduction pathway

Linkage analysis mapped disease gene on 3q (close to RHO)Patient-specific mutations identified in a year

Page 27: Applications of genome sequencing projects

Step 4 – identifying candidate genes

Homology: look for homolog (paralog or ortholog)

Both mapped to 5q

Beals syndromefibrillin gene FBN2

Marfan syndrome fibrillin gene FBN1

Page 28: Applications of genome sequencing projects

Step 4 – identifying candidate genes

Animal models: look for homologous genes in animal models especially mouse

e.g. Waardenburg syndrome type 1Linkage analysis localised WS1 to 2q

Splotch mouse mutant showed similar phenotype

Could sp and WS1 be orthologous genes?

Pax-3 mapped to sp locusHomologous to HuP2

Splotch mouse WS type1

Page 29: Applications of genome sequencing projects

Step 5 – confirm a candidate gene

Mutation screeningSequence differences

- Missense mutations identified by sequencing coding region of candidate gene from normal and abnormal individualsTransgenic model- Knockout / knockin the mutant gene into a model organism

Modification of phenotype

Page 30: Applications of genome sequencing projects

Transgenic analysis can prove candidate gene is disease locus

Fig. 11.21

Page 31: Applications of genome sequencing projects
Page 32: Applications of genome sequencing projects

ReadingHMG3 by T Strachan & AP Read : Chapter 14

AND/ORGenetics by Hartwell (2e) chapter 11

Optional Reading on Molecular medicine Nature (May2004) Vol 429 Insight series• human genomics and medicine pp439 (editorial)• predicting disease using medicine by John Bell pp 453-

456.