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1 Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Victoria, Australia; 2 Samuel Lunenfeld Research Institute and 3 Department of Surgery, Mount Sinai Hospital; and 4 Cancer Care Ontario, Toronto, Ontario, Canada
Requests for reprints: Steven Gallinger, Department of Surgery, Mount Sinai Hospital, University of Toronto, Room 1225, 600 University Avenue, Toronto, Ontario, Canada. Phone: 416-586-8550; Fax: 416-586-8392. E-mail: sgallinger{at}rogers.com
| Abstract |
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| Introduction |
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We have applied a kin-cohort design to assess colorectal cancer risk in monoallelic and biallelic MYH mutation carriers, all of whom are a first-degree relative of a colorectal cancer case identified in a population-based study. We analyzed the cancer histories of ungenotyped first-degree relatives of the colorectal cancer cases we previously found to be carriers of MYH mutations (3).
| Materials and Methods |
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The observed incidence of colorectal cancer in relatives (number of relatives with colorectal cancer divided by the total person years of relatives) was compared with the expected incidence calculated by applying age- and sex-specific cancer incidence rates obtained for the Ontario population 1993-2002. Standardized incidence ratios and 95% CIs were calculated using STATA version 8.0 (12).
We estimated the average hazard ratio (the ratio of the age-specific incidence in carriers of a germline MYH mutation to that in noncarriers) by a modified segregation analysis fitted under maximum likelihood theory using the statistical package MENDEL (13-15). Biallelic carriers were assumed to have both alleles mutated and treated as homozygous carriers. The colorectal cancer incidence for each family member was assumed to follow a Cox proportional hazards model where the incidence depends on the genotype (carrier or noncarrier), colorectal cancer diagnosed in at least one parent, and colorectal cancer diagnosed in at least one sibling. The latter two covariates account for familial aggregation unrelated to the mutations. Specifically, based on unpublished control data from the same population, the Ontario Familial Colorectal Cancer Registry, the probability of having at least one parent with colorectal cancer was set at 0.08 (8% of population controls reported having at least one parent with colorectal cancer) and of having at least one sibling with colorectal cancer was set at 0.04 (4% of population controls reported having at least one sibling with colorectal cancer). We assumed that in the population, having at least one first-degree relative with colorectal cancer doubled colorectal cancer risk (16, 17). The population allele frequency of germline mutations was taken to be 0.0085 based on a 1.7% monoallelic carrier frequency in the control population (3). The likelihood of each family was expressed as a function of the colorectal cancer status and the ages at last contact, death, or diagnosis of family members. Recessive, dominant, and codominant modes of inheritance were compared using the likelihood ratio test.
To adjust for ascertainment, the likelihood for each family was conditioned on the colorectal cancer status and MYH genotype status of the proband, thus ensuring unbiased risk estimates. The incidence in noncarriers was approximated by the population incidence of colorectal cancer for Ontario for 1993-2002. The cumulative risk in carriers was calculated by integrating over the age-specific incidence in carriers (equal to the population age-specific incidence multiplied by the estimated average hazard ratio). To account for stratified sampling based on family history, the low-risk families were given a weight of 4.0 compared with a weight of 1.0 for the high-risk and intermediate-risk families. Standard errors for calculation of confidence intervals were estimated using the robust Huber-White sandwich estimator (18).
The overall evidence from previous studies for an association between monoallelic MYH mutation carriers and colorectal cancer was estimated by a meta-analysis on the data from seven case-control studies (3-9). These constituted all identified studies that tested for monoallelic and biallelic carriers of MYH mutations in colorectal cancer cases and in controls. Exposed cases were defined as colorectal cancer cases who were monoallelic carriers of MYH mutations and nonexposed cases were colorectal cancer cases with no germline mutations. Controls were subjects without colorectal cancer (see Table 1). Random and fixed effects models were fitted; heterogeneity was tested using Cochran's Q; and a Forrest plot of the odds ratios was generated. Odds ratios, their 95% CIs, and P values were estimated using the software Comprehensive Meta-analysis (http://www.meta-analysis.com).
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| Results |
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A codominant model (homozygote risk is greater than heterozygote risk which is greater than wild-type risk) gave a better fit than a recessive model (P = 0.002). Table 2 shows that monoallelic carriers were, on average, 2.9 (95% CI, 1.2-7.0) times more likely to be diagnosed with colorectal cancer compared with the general population (P = 0.02). This hazard ratio translates to an 8% cumulative risk to age 70 years. Biallelic carriers were, on average, 53 (95% CI, 14-200) times more likely to be diagnosed with colorectal cancer compared with the general population (P < 0.0001) and were almost certain to be diagnosed with colorectal cancer by age 70 years.
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Figure 1 shows that whereas no single previous study showed conclusively that monoallelic carriers were at increased risk, the combined estimate from all studies was significant. The widths of the confidence intervals in Fig. 1 illustrate the limited statistical power for most of the individual studies. The pooled odds ratio estimate from the meta-analysis was 1.4 (95% CI, 1.0-2.0; P = 0.04) with no evidence to reject homogeneity (Cochran's Q = 2.076 with 6 degrees of freedom; P = 0.9).
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| Discussion |
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3-fold increased risk of colorectal cancer in monoallelic carriers and a 50-fold increased risk in biallelic carriers. This analysis illustrates the power of family-based data for the study of rare variants. It is more efficient than a case-control analysis because for every monoallelic carrier, on average, half their first-degree relatives will also be monoallelic carriers, and for every biallelic carrier (assuming mutations are on different alleles), both parents, all children, and, on average, half their siblings will be monoallelic carriers. Based on Mendelian inheritance, the number of monoallelic and biallelic probands, and the number of their parents, siblings, and offspring, we estimate that 185 relatives are monoallelic MYH mutation carriers, which is more than the total number in all previous studies (see Table 1). The statistical method we used takes into account that we do not know which relatives were carriers, and in effect weights them according to their relationship to the proband so as to derive maximum information from the family data (19). This population-based family study, when combined with the meta-analysis of case-control studies, provides the clearest evidence yet that monoallelic MYH carriers are at increased colorectal cancer risk. Our meta-analysis suggested that monoallelic carriers have, on average, a 40% increased colorectal cancer risk although individually no single study showed a statistically significant increase, suggesting that individual studies were underpowered to detect an effect of this magnitude. Given the considerable overlap in confidence intervals (meta-analysis, 1.0-2.0; segregation analysis, 1.2-7.0), there is no evidence that these estimates differ from one another. Further larger studies are needed to provide a more precise estimate of the increased risk. Given that all carriers in our analysis were identified via a first-degree relative with colorectal cancer, these results may only be applicable to carriers with such a family history (i.e., the characteristic of individuals attending a family cancer clinic).
Similar to the analysis of Farrington et al. (9), we observed an increased risk in monoallelic carriers only in those over the age of 55 years, but as in the study of Farrington et al. (9), there was no significant difference between the two age groups; i.e., one should be careful about inferring modification of effect by age.
It is important when analyzing case-family data using a modified segregation analysis to allow for a proportion of familial aggregation of disease to be due to causes other than MYH, particularly when a large proportion of relatives have not been genotyped. We did this by including in the model effects representing the background familial aggregation of colorectal cancer (i.e., increased risks associated with having an affected close relative). Failure to do so results in overestimation of effects attributed to the mutation status of the proband that led to the family being included in the analysis. It is therefore unlikely that our estimates of increased risk in carriers were due to other familial risk factors.
In conclusion, using a family design, we have estimated colorectal cancer risk for monoallelic MYH mutation carriers. We found that, on average, such carriers were approximately three times the population risk for colorectal cancer. Further studies using genotyped relatives will be necessary to refine these estimates for the MYH Y165C and G382D mutations, as well as for the less common pathogenic MYH mutations.
| Acknowledgments |
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| Footnotes |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Received 10/14/05; revised 11/25/05; accepted 12/16/05.
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