Title: Should Genetic Risk for ARMD Play a Role in Intra-Ocular Lens Selection?
1Should Genetic Risk for ARMD Play a Role in
Intra-Ocular Lens Selection?
UV 400 filtering ?
Blue Light Filtering ?
Multifocal ?
- Steve A. Arshinoff MD FRCSC
- Humber River Regional Hospital
- Departments of Ophthalmology and Vision
Sciences,University of Toronto McMaster
University
Brent Zanke, MD PhD FRCPC Division of
Hematology University of Ottawa
- Financial Disclosures - SAA
- Carl Zeiss Inc - Consultant
- Alcon Laboratories Inc. - Consultant
- Arctic Dx. Inc - Consultant
- Financial Disclosures - BZ
- Arctic Dx. Inc Shareholder
2Age Related Macular Degeneration (ARMD) Future
Risk Considerations in IOL Selection.
- ARMD causes reduction in image resolution
resulting in severely decreased performance of
mulltifocal IOLs (MIOLs) and patient
dissatisfaction. - Blue light filtering IOLs may reduce subsequent
risk of ARMD after cataract extraction in those
at heightened genetic risk. - Those at low genetic risk for ARMD may get
optimal short and long term visual benefit from a
clear, rather than a yellow lens.
3Can ARMD be predicted on genetic grounds?
- ARMD is slowly being shown to be a disease of
impaired repair mechanisms. This should not
surprise us, as the retinal pigment epithelium
(RPE) is the most metabolically active tissue in
our bodies, and that diurnal photic damage is
repaired by nocturnal RPE activity. Age and
Genetics are therefore, not surprisingly, the
single largest determinants of ARMD risk. - Like another previously phenotypically recognized
retinal disease group, retinitis pigmentosa, it
is becoming ever more likely that ARMD will be
subdivided genotypically, not phenotypically.
4Other ARMD Risk Factors
- Environment risk factors include smoking and
perhaps life-time UV exposure, but these are
minor when compared to the influence of
genetics. - Can genetics accurately predict ARMD?
- Can we create an algorithm to calculate combined
genetic and smoking behavioral risk?
5Genetic Risk Prediction The Technology
Genotype Single Nucleotide Polymorphisms (SNPs)
that predict for ARMD risk have been discovered,
can be tabulated for any individual, and
interpreted in a validated mathematical algorithm
assessing individual ARMD risk. Zanke et al.
Canadian Journal of Ophthalmology VOL. 45, NO. 1,
2010
6Algorithm Development Method
- Disease prevalence
- Odds ratio of risk alleles
- Odds ratio of smoking
- Prevalence of risk factors
Logisticregression-generated model of absolute
risk.
7Genetic Markers to Assess MaculaRisk
- Complement Factor H (CFH) HaplotypesThe CFH
region of chromosome 1 is a major risk gene
associated with ARMD. Several sequence variations
consistently inherited together (haplotypes) may
occur, each carrying its own risk. We can
distinguish 8 different haplotypes some highly
protective, some neutral, and some associated
with increased risk. Caucasians are at higher
risk of ARMD, and much of this risk is associated
with C3H haplotype. - Complement component 3 (C3)The C3 gene variant
is associated with double the risk of advanced
dry and wet ARMD, compared to the consensus
sequence variant. - ARMS2The ARMS gene, located on chromosome 10,
codes for a protein important in the response to
oxidative stress. One sequence variant is
associated with up to 7 time risk for ARMD. - Mitochondrial DNA Mutation 4917G (mt
factor)This gene is important in response to
oxidative stress, and one variant is associated
with over 2 times the risk of ARMD.
8Markers and Risk Algorithm
Risk Score X (CFH factor)(ARMS2 factor)(C3
factor)(mt factor)(smoking factor)
CFH factor CFH factor
1 for favorable diplotype (H1, H3 and H5-8 combinations) 1 for favorable diplotype (H1, H3 and H5-8 combinations) 1 for favorable diplotype (H1, H3 and H5-8 combinations)
4.33 for intermediate diplotype (mixture of 1 favorable and 1 unfavorable diplotype) 4.33 for intermediate diplotype (mixture of 1 favorable and 1 unfavorable diplotype) 4.33 for intermediate diplotype (mixture of 1 favorable and 1 unfavorable diplotype)
17.97 for unfavorable diplotype (H2 and H4 combinations) 17.97 for unfavorable diplotype (H2 and H4 combinations) 17.97 for unfavorable diplotype (H2 and H4 combinations)
ARMS2 factor mt factor mt factor
1 for GG diplotype 1 for A 1 for A
2.7 for TG diplotype 2.16 for G 2.16 for G
C3 factor Smoking factor Smoking factor
1 for CC diplotype 1 for never 1 for never
1.7 for GC diplotype 1.46 for ex smoker 1.46 for ex smoker
2.6 for GG diplotype 3.14 for current smoker 3.14 for current smoker
Risk Score (X) Risk Category
1-7.9 1
8.0-28.9 2
29.0-101 3
101.1-185 4
185.1-2600 5
9AMD-Associated Blindness Lifetime Risk Prevalence
by Risk Category
Category Risk Level Risk Range age 80 Prevalence
1 Reduced 0-5 49.6
2 Average 6-15 30.6
3 Increased 16-40 16.6
4 High 40-55 2.2
5 Very High 55-94 1.0
5
4
3
A
2
1
AAverage
Note Level 3 4 5 20 of population
10Case Example
- 55 y.o. myopic (-5D ou) white male PhD
pharmaceutical company researcher has been
followed for 20 years for unchanging early
ARMD. He seeks advice for his cataract surgery. - MaculaRisk testing demonstrated his risk of ARMD
by age 80 to be only 5-15 (Category 2 average)
!
11AMD-risk sensitive IOL choice Algorithm
High Risk
AMD Genetic Testing
- Retinal assessment
- Retinal micronutrients
- Amsler Grid
- Regular followup
- Blue filter IOL
- Avoid MIOL
Low Risk
- The patient described on the preceding slide
elected not to have a multifocal IOL, but is
shown for educational value. Sometimes genotype
will not match expectations from phenotype,
suggesting that disease progression rate may
primarily be genetically based.
12Summary
- Age Related Macular Degeneration is progressively
recognized as a genetic disorder of repair, with
some environmental contribution. - ARMD will be increasingly classified
genotypically rather than phenotypically. - Genetic assessment can determine individual risk
of ARMD. - As some IOLs may perform worse under conditions
of reduced contrast sensitivity, while others may
be somewhat macula-protective, it seems
reasonable to consider ARMD risk when choosing an
IOL. We have presented the first algorithm
developed for this purpose.
Thank you Steve Arshinoff Brent Zanke
ifix2is_at_sympatico.ca bzanke_at_me.com