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      Association between C282Y and H63D mutations of the HFE gene with hepatocellular carcinoma in European populations: a meta-analysis

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          Abstract

          Background

          Hereditary hemochromatosis (HH) is an autosomal recessive disorder mainly associated with homozygosity for the C282Y and H63D mutations in the hemochromatosis (HFE) gene. The reports about the C282Y and H63D mutations and hepatocellular carninoma (HCC) were controversial. To clarify the relationship between C282Y and H63D mutations and HCC, a meta-analysis including nine studies (1102 HCC cases and 3766 controls, mainly came from European populations) was performed.

          Methods

          The association was measured using random-effect (RE) or fixed-effect (FE) odds ratios (ORs) combined with 95% confidence intervals (CIs) according to the studies' heterogeneity.

          Results

          Meta-analysis of nine studies showed that Y allele of C282Y was associated with HCC risk: RE OR reached 1.50 (95%CI: 1.05-2.14, p for heterogeneity = 0.02, I 2 = 0.57). Subgroup analysis of seven studies also showed Y allele was associated with HCC risk in healthy populations: RE OR reached 1.61 (95%CI: 1.08-2.39, p for heterogeneity = 0.04, I 2 = 0.55). We further did subgroup analysis in alcoholic liver cirrhosis (LC) patients of four studies (224 cases and 380 controls) and found that both the dominant model and Y allele of C282Y were associated with HCC risk (FE OR reached 4.06, 95%CI: 2.08-7.92 and 3.41, 95%CI: 1.81-6.41, respectively). There was no distinct heterogeneity among the studies (I 2 = 0). Sensitivity analyses showed the results were robust in the subgroup analysis of alcoholic LC patients.

          Conclusions

          C282Y mutation was associated with HCC in European alcoholic LC patients.

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          Most cited references28

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          Heterogeneity testing in meta-analysis of genome searches.

          Genome searches for identifying susceptibility loci for the same complex disease often give inconclusive or inconsistent results. Genome Search Meta-analysis (GSMA) is an established non-parametric method to identify genetic regions that rank high on average in terms of linkage statistics (e.g., lod scores) across studies. Meta-analysis typically aims not only to obtain average estimates, but also to quantify heterogeneity. However, heterogeneity testing between studies included in GSMA has not been developed yet. Heterogeneity may be produced by differences in study designs, study populations, and chance, and the extent of heterogeneity might influence the conclusions of a meta-analysis. Here, we propose and explore metrics that indicate the extent of heterogeneity for specific loci in GSMA based on Monte Carlo permutation tests. We have also developed software that performs both the GSMA and the heterogeneity testing. To illustrate the concept, the proposed methodology was applied to published data from meta-analyses of rheumatoid arthritis (4 scans) and schizophrenia (20 scans). In the first meta-analysis, we identified 11 bins with statistically low heterogeneity and 8 with statistically high heterogeneity. The respective numbers were 9 and 6 for the schizophrenia meta-analysis. For rheumatoid arthritis, bins 6.2 (the HLA region that is a well-documented susceptibility locus for the disease) and 16.3 (16q12.2-q23.1) had both high average ranks and low between-study heterogeneity. For schizophrenia, this was seen for bin 3.2 (3p25.3-p22.1) and heterogeneity was still significantly low after adjusting for its high average rank. Concordance was high between the proposed metrics and between weighted and unweighted analyses. Data from genome searches should be synthesized and interpreted considering both average ranks and heterogeneity between studies. 2004 Wiley-Liss, Inc.
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            Estimating the population attributable risk for multiple risk factors using case-control data.

            A straightforward and unified approach is presented for the calculation of the population attributable risk per cent (etiologic fraction) in the general multivariate setting, with emphasis on using data from case-control studies. The summary attributable risk for multiple factors can be estimated, with or without adjustment for other (confounding) risk factors. The relation of this approach to procedures in the literature is discussed. Given values of the relative risks for various combinations of factors, all that is required is the distribution of these factors among the cases only. The required information can often be estimated solely from case-control data, and in some situations relative risk estimates from one population can be applied to calculation of attributable risk for another population. The authors emphasize the benefits to be obtained from logistic regression models, so that risks need not be estimated separately in a large number of strata, some of which may contain inadequate numbers of individuals. This approach allows incorporation of important interactions between factors, but does not require that all possible interactions be included. The approach is illustrated with data on four risk factors from a pair-matched case-control study of participants in a multicenter breast cancer screening project.
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              Long-term survival in patients with hereditary hemochromatosis.

              The course of hereditary hemochromatosis may depend on the degree of iron overload and the time of therapeutic intervention. This analysis evaluates the impact of early diagnosis and iron removal on survival and complications in hereditary hemochromatosis. A Cohort of 251 patients with hemochromatosis was followed up for 14.1 +/- 6.8 years. Survival was reduced in the total group of patients when compared with a matched normal population. Survival in noncirrhotic and nondiabetic patients and in patients diagnosed between 1982 and 1991 was identical with rates expected. Survival was reduced in patients with severe iron overload vs. those with less severe overload. The percentage of early diagnoses increased threefold between 1947 and 1969 to that between 1970 and 1981; there was only a further 20%-25% increase in the last decade. Deaths caused by liver cancer, cardiomyopathy, liver cirrhosis, and diabetes mellitus were increased as compared with expected rates. Liver cancers were associated with cirrhosis and amount of mobilizable iron but not with hepatitis B or C markers. Prognosis of hemochromatosis and most of its complications, including liver cancer, depend on the amount and duration of iron excess. Early diagnosis and therapy largely prevent the adverse consequences of iron overload.
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                Author and article information

                Journal
                J Exp Clin Cancer Res
                Journal of Experimental & Clinical Cancer Research : CR
                BioMed Central
                0392-9078
                1756-9966
                2010
                2 March 2010
                : 29
                : 1
                : 18
                Affiliations
                [1 ]Department of Gastroenterology, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai 200032, China
                Article
                1756-9966-29-18
                10.1186/1756-9966-29-18
                2845109
                20196837
                b7f27a4c-bb22-439a-bc60-0eba570e1224
                Copyright ©2010 Jin et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 December 2009
                : 2 March 2010
                Categories
                Research

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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