37 research outputs found

    Melanoma molecular subtypes: Unifying and paradoxical results

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    In this issue, Hacker and colleagues provide further evidence that molecular subtypes of malignant melanoma may develop along divergent pathways. The authors did not find an association between somatic BRAF-mutant melanoma and germline melanocortin-1 receptor (MC1R) gene status. We discuss this seeming paradox in light of previous studies demonstrating strong associations

    The effect on melanoma risk of genes previously associated with telomere length.

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    Telomere length has been associated with risk of many cancers, but results are inconsistent. Seven single nucleotide polymorphisms (SNPs) previously associated with mean leukocyte telomere length were either genotyped or well-imputed in 11108 case patients and 13933 control patients from Europe, Israel, the United States and Australia, four of the seven SNPs reached a P value under .05 (two-sided). A genetic score that predicts telomere length, derived from these seven SNPs, is strongly associated (P = 8.92x10(-9), two-sided) with melanoma risk. This demonstrates that the previously observed association between longer telomere length and increased melanoma risk is not attributable to confounding via shared environmental effects (such as ultraviolet exposure) or reverse causality. We provide the first proof that multiple germline genetic determinants of telomere length influence cancer risk.This is the final version of the article. It first appeared from Oxford University Press via http://dx.doi.org/10.1093/jnci/dju26

    Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project

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    Background: For complex diseases like cancer, pooled-analysis of individual data represents a powerful tool to investigate the joint contribution of genetic, phenotypic and environmental factors to the development of a disease. Pooled-analysis of epidemiological studies has many advantages over meta-analysis, and preliminary results may be obtained faster and with lower costs than with prospective consortia. Design and methods. Based on our experience with the study design of the Melanocortin-1 receptor (MC1R) gene, SKin cancer and Phenotypic characteristics (M-SKIP) project, we describe the most important steps in planning and conducting a pooled-analysis of genetic epidemiological studies. We then present the statistical analysis plan that we are going to apply, giving particular attention to methods of analysis recently proposed to account for between-study heterogeneity and to explore the joint contribution of genetic, phenotypic and environmental factors in the development of a disease. Within the M-SKIP project, data on 10,959 skin cancer cases and 14,785 controls from 31 international investigators were checked for quality and recoded for standardization. We first proposed to fit the aggregated data with random-effects logistic regression models. However, for the M-SKIP project, a two-stage analysis will be preferred to overcome the problem regarding the availability of different study covariates. The joint contribution of MC1R variants and phenotypic characteristics to skin cancer dev

    Genome-wide association study of kidney function decline in individuals of European descent.

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    Genome-wide association studies (GWASs) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS meta-analysis among 63,558 participants of European descent, initially from 16 cohorts with serial kidney function measurements within the CKDGen Consortium, followed by independent replication among additional participants from 13 cohorts. In stage 1 GWAS meta-analysis, single-nucleotide polymorphisms (SNPs) at MEOX2, GALNT11, IL1RAP, NPPA, HPCAL1, and CDH23 showed the strongest associations for at least one trait, in addition to the known UMOD locus, which showed genome-wide significance with an annual change in eGFR. In stage 2 meta-analysis, the significant association at UMOD was replicated. Associations at GALNT11 with Rapid Decline (annual eGFR decline of 3 ml/min per 1.73 m(2) or more), and CDH23 with eGFR change among those with CKD showed significant suggestive evidence of replication. Combined stage 1 and 2 meta-analyses showed significance for UMOD, GALNT11, and CDH23. Morpholino knockdowns of galnt11 and cdh23 in zebrafish embryos each had signs of severe edema 72 h after gentamicin treatment compared with controls, but no gross morphological renal abnormalities before gentamicin administration. Thus, our results suggest a role in the deterioration of kidney function for the loci GALNT11 and CDH23, and show that the UMOD locus is significantly associated with kidney function decline.Kidney International advance online publication, 10 December 2014; doi:10.1038/ki.2014.361

    Inherited variants in the MC1R

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    Multiobjective genetic algorithm inversion of ground deformation and gravity changes spanning the 1981 eruption of Etna volcano

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    During the last few decades, joint investigations of microgravity and surface deformation measurements have played an increasingly important role in studying the internal dynamics of active volcanoes. Deformation and microgravity observations have been accomplished at Mt Etna since the eighties. Past data sets collected during important paroxysmal events can be utilized as case-studies to both (1) test the possibilities of nowadays more powerful inversion tools and improved analytical formulations to model the source-mechanisms of volcano-related deformation and gravity changes and (2) in turn obtain new insights into the functioning of the plumbing system of the volcano. Here we analyze a data set spanning the March 1981 eruption of Mt. Etna. Large horizontal displacements were evidenced on the NE and SW flanks of the volcano through electrooptical distance measurements (EDM) during two 20-month periods, both encompassing the March 1981 eruption. Elevation changes, evidenced through leveling measurements, during a 12-month period spanning the eruption, were in general smaller than horizontal displacements with important amplitudes only close to the eruptive fissure. Gravity measurements, carried out together with leveling measurements, evidenced positive changes, spatially well correlated with elevation changes, but having a larger wavelength. The joint inversion of the multimethod geophysical data is regarded as a multiobjective optimization problem and solved through a Genetic Algorithm technique of the nondominated type. We conclude that a composite intrusive mechanism with two tensile cracks, each associated to a zone where preexisting microfractures were filled with new magma, leaded to the 1981 eruption. The results of the present study highlight the advantages of multiobjective evolutionary algorithms, as a powerful tool to jointly invert multimethod geophysical data, and pose important issues on the subject of volcano-monitoring

    Melanocytic Nevi, Nevus Genes, and Melanoma Risk in a Large Case-Control Study in the United Kingdom

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    Background: Increased number of melanocytic nevi is a potent melanoma risk factor. We have carried out a large population-based case-control study to explore the environmental and genetic determinants of nevi and the relationship with melanoma risk. Methods: We report nevus phenotype in relation to differing patterns of sun exposure, inherited variation at loci shown in recent genome-wide association studies to be nevus genes, and risk. Results: Increased numbers of nevi were associated with holiday sun exposure, particularly on intermittently sun-exposed body sites (test for P-trend < 0.0001). Large nevi were also associated with holiday sun exposure (P = 0.002). Single nucleotide polymorphisms (SNP) on chromosomes 9 and 22 were associated with increased numbers of nevi (P = 0.04 and P = 0.002 respectively) and larger nevi (P = 0.03 and P = 0.002), whereas that on chromosome 6 was associated only with large nevi (P = 0.01). Melanoma risk was associated with increased nevus count, large nevi, and atypical nevi for tumors in all body sites (including rare sites) irrespective of age. The risk persisted when adjusted for inheritance of nevus SNPs. Conclusions: The at-risk nevus phenotype is associated with behaviors known to increase melanoma risk (holiday sun exposure). Although SNPs on chromosomes 6, 9, and 22 were shown to be nevus genes, they explained only a small proportion of melanoma risk and nevus phenotype; therefore, several nevus genes likely remain to be identified. Impact: This article confirms the importance of nevi in melanoma pathogenesis and increases understanding of their genetic determinants. Cancer Epidemiol Biomarkers Prev; 19(8); 2043-54. (C) 2010 AACR.Hereditary cancer genetic

    Perceptions of genetic research and testing among members of families with an increased risk of malignant melanoma

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    Item does not contain fulltextBACKGROUND: Several melanoma susceptibility genes have been identified. As part of the international genetic research programme of the GenoMEL consortiums research on genetic mutations in melanoma families, the aim of this study was to examine family members' views about their risk of melanoma, gene testing and genetic research. METHODS: Self-report data were gathered using online and paper-based surveys available in four languages among 312 individuals (62% from Europe, 18% from Australia, 13% from the United States of America (USA) and 7% from Israel). RESULTS: Fifty three percent had been diagnosed with a melanoma, and 12% had a positive susceptibility gene test result. Respondents with many moles and freckles were more likely to perceive themselves at risk for developing melanoma (odds ratio [OR](Freckles)=2.24 with 95% confidence interval [CI]=1.18-4.26; OR(Many moles)=6.92, 95%CI=2.37-20.23). Respondents who had received a non-informative (negative) genetic test result were much less likely to perceive themselves at increased risk (OR=0.17, 95% CI=0.04-0.73). Safe-guards were perceived as important to protect genetic information, but there was also support for the storage and exchange of such information. Overall, respondents were in favour of genetic testing, even if current knowledge about melanoma risk genes is still limited. Contrary to previous studies, participants reported that a non-informative (negative) genetic test result, although not necessarily indicative of lower risk of melanoma, would be likely to reduce their practise of preventive behaviours. CONCLUSIONS: Participants were influenced by their phenotype and test results in risk estimations. They expressed positive views on genetic research and towards genetic testing, but reported that a non-informative (negative) test result might be associated with an (erroneous) perception of reduced risk and fewer preventive behaviours. These results highlight the urgency of improving the quality of genetic counselling and increasing the effectiveness of communication regarding genetic test results
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