The Human Variome - PowerPoint PPT Presentation

1 / 16
About This Presentation
Title:

The Human Variome

Description:

Uitterlinden et al., Am J Hum Genet Dec 2004 'Genes' for lumbar disc disease (LDD) ... Seki et al., Nat Genet, June 2005. Important data. Prenatal growth data ... – PowerPoint PPT presentation

Number of Views:22
Avg rating:3.0/5.0
Slides: 17
Provided by: SA273
Category:
Tags: genet | human | variome

less

Transcript and Presenter's Notes

Title: The Human Variome


1
The Human Variome
  • Implications for musculoskeletal disease

Assoc Prof Ravi Savarirayan Head, RCH Clinical
Genetics Service
2
Why is this important?
  • Diseases of the MSK system 2nd most common reason
    for doctor visit in Australia
  • Third leading cause of health care expenditure
    (3 billion/annum)
  • Significant burden of disease in men and women
    now and over next 20 years in Australia and
    worldwide
  • (Mathers et al., Australian Burden of Disease
    Study, 2000)

3
Further understanding of susceptibility genes
  • Common sequence variants (polymorphisms) and
    their relationship to disease
  • Common disease genetics
  • Personalized genomics
  • Interpretation of data is key

4
Osteoarthritis genes
  • Polymorphism in small ECM molecule (asporin)
    predisposes Japanese populations to knee and hip
    osteoarthritis
  • Implications for population genetic screening,
    therapeutic management and prevention targeting
    of high risk groups

Nat Genet 37, 2005 (Kizawa et al.)
5
Other genes and OA
  • CILP
  • ACAN
  • GDF5
  • SLC26A2
  • WISP3
  • COL2A1
  • COL9A3
  • MAT3

Genetic Profile of OA
Kannu,.. and Savarirayan Arthritis Rheumatism
in the press 2008
6
Height genes
  • Many genes that cause short-statured conditions
    also influence height generally
  • polymorphisms in these genes (FRGF3, COL11A1)
    predispose to final adult height in our
    populations

7
Osteoporosis genes
  • Sclerosteosis/Van Buchem disease gene (SOST)
  • Different polymorphisms in this gene associated
    with increased and decreased BMD in elderly Dutch
    white men and women (n2000) at femoral neck and
    lumbar spine
  • Public health implications
  • Uitterlinden et al., Am J Hum Genet Dec 2004

8
Genes for lumbar disc disease (LDD)
  • LDD caused by degeneration of intervertebral
    discs
  • Common cause back pain/sciatica/spinal surgery
  • Functional SNP (1184T-C) in CILP associated with
    LDD susceptibility
  • Effects mediated by inhibition of TGFB1 induction
    of cartilage matrix genes in discs

Seki et al., Nat Genet, June 2005
9
Important data
  • Prenatal growth data (ultrasounds)
  • Birth parameters and longitudinal growth data
    (height/parental heights)
  • Radiographic data (incl. MRI)
  • Bone density
  • Joint pain assessments (qualitative measures)
  • Activities of daily life
  • Gait analysis
  • Incorporate into structured assessment tools

10
Gene databases
  • Diagnostic testing (for various genes) now
    offered at GHSV
  • Opportunity to be linked in with HVP databases as
    well as phenotype databases
  • Phenotype-Genotype correlations
  • Example type II collagenopathies

11
Type II collagenopathies
  • Achondrogenesis II
  • Torrance type PLSD
  • Hypochondrogenesis
  • SED congenita
  • SEMD Strudwick
  • Spondyloperipheral dysplasia
  • Kniest
  • Stickler syndrome
  • SED with premature arthritis
  • Intermediate (bridging) phenotypes

12
Consequences of collagen mutations?
  • Tissue specificity of expression of the mutant
    collagen
  • Functional role of the affected collagen
  • Type of mutation
  • reduced amount - null mutation
  • structural mutation - dominant negative effect

13
Achondrogenesis
  • Collagen II mutations
  • Extracellular matrix scaffold absent
  • Alterations to chondrocyte gene expression

14
Personalised Genomics
Disease
Environment Epigenetic factors
Phenotype Threshold
Subclinical phenotype
Genetic profile/Variome
High risk group
15
Challenges
  • Developing world how will this be practically
    relevant for them?
  • Journals standardized reporting of
    phenotypes/genotypes
  • Funding implications especially clinical
    interface with patients/families
  • Use/Misuse of partial information

16
Who is it can tell me who I am?
Write a Comment
User Comments (0)
About PowerShow.com