The Cys282Tyr polymorphism in the HFE gene in Australian Parkinson's disease patients

Iron homeostasis is altered in Parkinson's disease (PD). The HFE protein is an important regulator of cellular iron homeostasis and variations within this gene can result in iron overload and the disorder known as hereditary haemochromatosis. We studied the Cys282Tyr single nucleotide polymorphism as a genetic risk factor for PD in two distinct and separately collected cohorts of Australian PD patients and controls. In the combined cohort comprising 438 PD patients and 485 control subjects, we revealed an odds ratio for possession of the 282Tyr allele of 0.61 (95% confidence interval, Cl = 0.42-0.90, P = 0.011) from univariate chi-squared and 0.59 (95% Cl = 0.39-0.90, P = 0.014) after logistic regression analyses (correcting for potential confounding factors). These results suggest that possession of the 282Tyr allele may offer some protection against the development of PD. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.

Dizygotic twinning is not associated with methylenetetrahydrofolate reductase haplotypes

Background: Folate metabolism is critical to embryonic development, influencing neural tube defects (NTD) and recurrent early pregnancy loss. Polymorphisms in 5,10-methylenetetrahydrofolate reductase (MTHFR) have been associated with dizygotic (DZ) twinning through pregnancy loss. Methods: The C677T and A1298C polymorphisms in MTHFR were genotyped in 258 Australasian families (1016 individuals) and 118 Dutch families (462 individuals) of mothers of DZ twins and a population sample of 462 adolescent twin families (1861 individuals). Haplotypes were constructed from the alleles, and transmission of the MTHFR haplotypes to mothers of DZ twins and from parents to twins in the adolescent twin families analysed. Results: The C677T and A1298C were common in all three populations (frequencies > 0.29). There was strong linkage disequilibrium (D'=1) between the variants, showing that specific combinations of alleles (haplotypes) were transmitted together. Three haplotypes accounted for nearly all the variation. There was no evidence of any association between MTHFR genotype and twinning in mothers of twins, or of the loss of specific MTHFR genotypes during twin pregnancies. Conclusions: It is concluded that variation in twinning frequency is not associated with MTHFR genotype.

Susceptibilidade genética para cancro da mama

RESUMO: O cancro da mama é a patologia oncológica mais frequente nas mulheres sendo o responsável pela maior taxa de mortalidade por cancro no sexo feminino. Contudo, as causas inerentes a esta patologia permanecem por esclarecer. Nos últimos anos tem-se verificado que o risco para patologia neoplásica depende de factores ambientais e genéticos, estando estes últimos associados à variabilidade genética inter-individual. Polimorfismos genéticos em genes envolvidos no metabolismo de hormonas sexuais, de cancerígenos ambientais e na reparação da lesão genética, são potenciais candidatos a estarem associados à susceptibilidade individual para esta patologia. Assim, neste trabalho desenvolveram-se estudos de associação caso-controlo na população Portuguesa, com vista a avaliar-se o papel atribuído aos polimorfismos na susceptibilidade para cancro da mama. Foram seleccionados polimorfismos em genes envolvidos em diferentes vias mecanicistas: destoxificação de cancerígenos, metabolismo de estrogénios, reparação por excisão de bases, reparação por excisão de nucleótidos, reparação mismatch e reparação por recombinação homóloga. Os resultados obtidos revelaram associação entre os seguintes polimorfismos e a susceptibilidade individual para cancro da mama: os dois SNPs estudados no gene XRCC1 (Arg194Trp e Arg399Gln) e o SNP no gene XRCC3 (Thr241Met) após estratificação pelo status menopausico. Mediante estratificação por status de amamentação os SNPs identificados nos genes MnSOD (Val16Ala) e XRCC2 (Arg118His); um SNP no gene MLH3 (Leu844Pro), e por fim como resultado de interacção gene-gene as interacções descritas por MSH3 Ala1045Thr/MSH6 Gly39Glu e MSH4 Ala97Thr/MLH3 Leu844Pro. Os resultados obtidos e apresentados na presente dissertação, revelam que o estudo de polimorfismos pode representar um papel determinante na etiologia do cancro da mama. No entanto, mais estudos envolvendo estes mesmos polimorfismos em populações casuisticamente superiores serão uma mais-valia nos estudos de associação para esta neoplasia. Adicionalmente, a utilização da metodologia de Pools de DNA, poderá ser uma ferramenta útil na pré-selecção dos polimorfismos mais relevantes a estudar, na medida em que permite estimar a frequência alélica de cada SNP numa determinada população.-----------------------------------ABSTRACT: Breast cancer is the most common form of cancer among women, being the responsible for the highest mortality rate from cancer among the female sex. However, the main causes related to this pathology remain unclear. The risk of neoplasic disease has been connected with genetic and environmental factors. In fact, genes and the environment share the stage for most, if not all, common non-familial cancers, and are related to individual susceptibility. Genetic polymorphisms identified in genes encoding enzymes involved in estrogen metabolism, xenobiotics and DNA repair pathways are believed to be candidates for associations with breast cancer. Therefore, it was our intention to develop case-control studies among the Portuguese population, in order to evaluate the potential role of several genetic polymorphisms in breast cancer susceptibility. We selected polymorphisms in genes involved in different pathways: carcinogenic detoxification, estrogen metabolism, base excision repair, nucleotide excision repair, mismatch repair and double strand break repair by homologous recombination. The results obtained revealed potential associations between some polymorphisms studied and individual susceptibility to breast cancer. Regarding this fact, our results suggest the potential involvement of two XRCC1 gene polymorphisms (Arg194Trp and Arg399Gln) and XRCC3 gene polymorphism (Thr241Met) after stratification to menopausal status and after stratification to breastfeeding status an association of MnSOD gene polymorphism (Val16Ala) and XRCC2 (Arg188His) with the disease. The SNP identified in MLH3 gene (Leu844Pro), and the interaction gene-gene described by MSH3 Ala1045Thr/MSH6 Gly39Glu and MSH4 Ala97Thr/MLH3 Leu844Pro were also related to breast cancer susceptibility. The results shown in the present dissertation have revealed the potential role of polymorphisms in breast cancer etiology. However, further studies will be needed with larger populations to confirm these results. Additionally, the use of DNA pools methodology, as a pre-selection tool, could allow the identification of the most relevant polymorphisms to be studied, estimating the allelic frequency of each SNPs in different populations.

Controversies about a common etiology for eating and mood disorders.

Obesity and depression represent a growing health concern worldwide. For many years, basic science and medicine have considered obesity as a metabolic illness, while depression was classified a psychiatric disorder. Despite accumulating evidence suggesting that obesity and depression may share commonalities, the causal link between eating and mood disorders remains to be fully understood. This etiology is highly complex, consisting of multiple environmental and genetic risk factors that interact with each other. In this review, we sought to summarize the preclinical and clinical evidence supporting a common etiology for eating and mood disorders, with a particular emphasis on signaling pathways involved in the maintenance of energy balance and mood stability, among which orexigenic and anorexigenic neuropeptides, metabolic factors, stress responsive hormones, cytokines, and neurotrophic factors.

A genome-wide association study of early menopause and the combined impact of identified variants.

Early menopause (EM) affects up to 10% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for ∼30% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking.

Genome-wide association study of recurrent major depressive disorder in two European case-control cohorts.

Major depressive disorder (MDD) is a highly prevalent disorder with substantial heritability. Heritability has been shown to be substantial and higher in the variant of MDD characterized by recurrent episodes of depression. Genetic studies have thus far failed to identify clear and consistent evidence of genetic risk factors for MDD. We conducted a genome-wide association study (GWAS) in two independent datasets. The first GWAS was performed on 1022 recurrent MDD patients and 1000 controls genotyped on the Illumina 550 platform. The second was conducted on 492 recurrent MDD patients and 1052 controls selected from a population-based collection, genotyped on the Affymetrix 5.0 platform. Neither GWAS identified any SNP that achieved GWAS significance. We obtained imputed genotypes at the Illumina loci for the individuals genotyped on the Affymetrix platform, and performed a meta-analysis of the two GWASs for this common set of approximately half a million SNPs. The meta-analysis did not yield genome-wide significant results either. The results from our study suggest that SNPs with substantial odds ratio are unlikely to exist for MDD, at least in our datasets and among the relatively common SNPs genotyped or tagged by the half-million-loci arrays. Meta-analysis of larger datasets is warranted to identify SNPs with smaller effects or with rarer allele frequencies that contribute to the risk of MDD.

Regional Advisory Committee on Cancer - Report on Skin Cancer (September 2004) (PDF 201 KB)

Skin cancer is the diagnosis for about a quarter of all patients with cancer and because most of the work is done on an outpatient basis the true extent of the disease has largely gone unrecognised. Skin cancers are related to ultraviolet radiation exposure. Geographic latitude as well as attitude affects the amount of ultraviolet exposure and the risk of skin cancer, with people from Northern Ireland exposing themselves to higher levels of ultraviolet radiation when on holiday abroad and artificially from sunbeds. Ozone depletion is known to increase the risk of ultraviolet exposure and skin cancer. The majority of people living in Northern Ireland have pale skin and are at increased risk of developing skin cancer, as are some patients with an increased genetic risk for cancer. Some pre-existing skin lesions are known to increase the risk of developing skin cancer. Data collection on the incidence of non melanoma skin cancer in Northern Ireland was not available before the establishment of the Cancer Registry in 1993. There is however good data on the incidence of melanoma before that period. In 1974 there were 39 cases in melanoma in Northern Ireland, by 2000 this had risen by almost 500% to 185 cases. åÊ

Genetics and molecular epidemiology of multiple myeloma: the rationale for the IMMEnSE consortium (review).

There is strong evidence suggesting the presence of a genetic component in the aetiology of multiple myeloma (MM). However no genetic risk factors have been unequivocally established so far. To further our understanding of the genetic determinants of MM risk, a promising strategy is to collect a large set of patients in a consortium, as successfully done for other cancers. In this article, we review the main findings in the genetic susceptibility and pharmacogenetics of MM and present the strategy of the IMMEnSE (International Multiple Myeloma rESEarch) consortium in contributing to determine the role of genetic variation in pharmacogenetics and in MM risk.

Impact of obesity-related genes in Spanish population

Background: The objective was to investigate the association between BMI and single nucleotide polymorphisms previously identified of obesity-related genes in two Spanish populations. Forty SNPs in 23 obesity-related genes were evaluated in a rural population characterized by a high prevalence of obesity (869 subjects, mean age 46 yr, 62% women, 36% obese) and in an urban population (1425 subjects, mean age 54 yr, 50% women, 19% obese). Genotyping was assessed by using SNPlex and PLINK for the association analysis. Results: Polymorphisms of the FTO were significantly associated with BMI, in the rural population (beta 0.87, p-value <0.001). None of the other SNPs showed significant association after Bonferroni correction in the two populations or in the pooled analysis. A weighted genetic risk score (wGRS) was constructed using the risk alleles of the Tag-SNPs with a positive Beta parameter in both populations. From the first to the fifth quintile of the score, the BMI increased 0.45 kg/m2 in Hortega and 2.0 kg/m2 in Pizarra. Overall, the obesity predictive value was low (less than 1%). Conclusion: The risk associated with polymorphisms is low and the overall effect on BMI or obesity prediction is minimal. A weighted genetic risk score based on genes mainly acting through central nervous system mechanisms was associated with BMI but it yields minimal clinical prediction for the obesity risk in the general population.

Gene-lifestyle interaction and type 2 diabetes: the EPIC interact case-cohort study.

BACKGROUND Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and lifestyle factors on risk of T2D in order to inform strategies for prevention. METHODS AND FINDINGS The InterAct study includes 12,403 incident T2D cases and a representative sub-cohort of 16,154 individuals from a cohort of 340,234 European participants with 3.99 million person-years of follow-up. We studied the combined effects of an additive genetic T2D risk score and modifiable and non-modifiable risk factors using Prentice-weighted Cox regression and random effects meta-analysis methods. The effect of the genetic score was significantly greater in younger individuals (p for interaction  = 1.20×10-4). Relative genetic risk (per standard deviation [4.4 risk alleles]) was also larger in participants who were leaner, both in terms of body mass index (p for interaction  = 1.50×10-3) and waist circumference (p for interaction  = 7.49×10-9). Examination of absolute risks by strata showed the importance of obesity for T2D risk. The 10-y cumulative incidence of T2D rose from 0.25% to 0.89% across extreme quartiles of the genetic score in normal weight individuals, compared to 4.22% to 7.99% in obese individuals. We detected no significant interactions between the genetic score and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score. CONCLUSIONS The relative effect of a T2D genetic risk score is greater in younger and leaner participants. However, this sub-group is at low absolute risk and would not be a logical target for preventive interventions. The high absolute risk associated with obesity at any level of genetic risk highlights the importance of universal rather than targeted approaches to lifestyle intervention.

CUBN is a gene locus for albuminuria.

Identification of genetic risk factors for albuminuria may alter strategies for early prevention of CKD progression, particularly among patients with diabetes. Little is known about the influence of common genetic variants on albuminuria in both general and diabetic populations. We performed a meta-analysis of data from 63,153 individuals of European ancestry with genotype information from genome-wide association studies (CKDGen Consortium) and from a large candidate gene study (CARe Consortium) to identify susceptibility loci for the quantitative trait urinary albumin-to-creatinine ratio (UACR) and the clinical diagnosis microalbuminuria. We identified an association between a missense variant (I2984V) in the CUBN gene, which encodes cubilin, and both UACR (P = 1.1 × 10(-11)) and microalbuminuria (P = 0.001). We observed similar associations among 6981 African Americans in the CARe Consortium. The associations between this variant and both UACR and microalbuminuria were significant in individuals of European ancestry regardless of diabetes status. Finally, this variant associated with a 41% increased risk for the development of persistent microalbuminuria during 20 years of follow-up among 1304 participants with type 1 diabetes in the prospective DCCT/EDIC Study. In summary, we identified a missense CUBN variant that associates with levels of albuminuria in both the general population and in individuals with diabetes.

Association of pharmacogenetic markers with premature discontinuation of first-line anti-HIV therapy: an observational cohort study.

BACKGROUND: Poor tolerance and adverse drug reactions are main reasons for discontinuation of antiretroviral therapy (ART). Identifying predictors of ART discontinuation is a priority in HIV care. METHODS: A genetic association study in an observational cohort to evaluate the association of pharmacogenetic markers with time to treatment discontinuation during the first year of ART. Analysis included 577 treatment-naive individuals initiating tenofovir (n = 500) or abacavir (n = 77), with efavirenz (n = 272), lopinavir/ritonavir (n = 184), or atazanavir/ritonavir (n = 121). Genotyping included 23 genetic markers in 15 genes associated with toxicity or pharmacokinetics of the study medication. Rates of ART discontinuation between groups with and without genetic risk markers were assessed by survival analysis using Cox regression models. RESULTS: During the first year of ART, 190 individuals (33%) stopped 1 or more drugs. For efavirenz and atazanavir, individuals with genetic risk markers experienced higher discontinuation rates than individuals without (71.15% vs 28.10%, and 62.5% vs 14.6%, respectively). The efavirenz discontinuation hazard ratio (HR) was 3.14 (95% confidence interval (CI): 1.35-7.33, P = .008). The atazanavir discontinuation HR was 9.13 (95% CI: 3.38-24.69, P < .0001). CONCLUSIONS: Several pharmacogenetic markers identify individuals at risk for early treatment discontinuation. These markers should be considered for validation in the clinical setting.

Impaired metabolic reactivity to oxidative stress in early psychosis patients.

Because increasing evidence point to the convergence of environmental and genetic risk factors to drive redox dysregulation in schizophrenia, we aim to clarify whether the metabolic anomalies associated with early psychosis reflect an adaptation to oxidative stress. Metabolomic profiling was performed to characterize the response to oxidative stress in fibroblasts from control individuals (n = 20) and early psychosis patients (n = 30), and in all, 282 metabolites were identified. In addition to the expected redox/antioxidant response, oxidative stress induced a decrease of lysolipid levels in fibroblasts from healthy controls that were largely muted in fibroblasts from patients. Most notably, fibroblasts from patients showed disrupted extracellular matrix- and arginine-related metabolism after oxidative stress, indicating impairments beyond the redox system. Plasma membrane and extracellular matrix, 2 regulators of neuronal activity and plasticity, appeared as particularly susceptible to oxidative stress and thus provide novel mechanistic insights for pathophysiological understanding of early stages of psychosis. Statistically, antipsychotic medication at the time of biopsy was not accounting for these anomalies in the metabolism of patients' fibroblasts, indicating that they might be intrinsic to the disease. Although these results are preliminary and should be confirmed in a larger group of patients, they nevertheless indicate that the metabolic signature of reactivity to oxidative stress may provide reliable early markers of psychosis. Developing protective measures aimed at normalizing the disrupted pathways should prevent the pathological consequences of environmental stressors.

Genome-wide profiling of blood pressure in adults and children.

Hypertension is an important determinant of cardiovascular morbidity and mortality and has a substantial heritability, which is likely of polygenic origin. The aim of this study was to assess to what extent multiple common genetic variants contribute to blood pressure regulation in both adults and children and to assess overlap in variants between different age groups, using genome-wide profiling. Single nucleotide polymorphism sets were defined based on a meta-analysis of genome-wide association studies on systolic blood pressure and diastolic blood pressure performed by the Cohort for Heart and Aging Research in Genome Epidemiology (n=29 136), using different P value thresholds for selecting single nucleotide polymorphisms. Subsequently, genetic risk scores for systolic blood pressure and diastolic blood pressure were calculated in an independent adult population (n=2072) and a child population (n=1034). The explained variance of the genetic risk scores was evaluated using linear regression models, including sex, age, and body mass index. Genetic risk scores, including also many nongenome-wide significant single nucleotide polymorphisms, explained more of the variance than scores based only on very significant single nucleotide polymorphisms in adults and children. Genetic risk scores significantly explained ≤1.2% (P=9.6*10(-8)) of the variance in adult systolic blood pressure and 0.8% (P=0.004) in children. For diastolic blood pressure, the variance explained was similar in adults and children (1.7% [P=8.9*10(-10)] and 1.4% [P=3.3*10(-5)], respectively). These findings suggest the presence of many genetic loci with small effects on blood pressure regulation both in adults and children, indicating also a (partly) common polygenic regulation of blood pressure throughout different periods of life.

Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations.

Schizophrenia is postulated to be the prototypical dysconnection disorder, in which hallucinations are the core symptom. Due to high heterogeneity in methodology across studies and the clinical phenotype, it remains unclear whether the structural brain dysconnection is global or focal and if clinical symptoms result from this dysconnection. In the present work, we attempt to clarify this issue by studying a population considered as a homogeneous genetic sub-type of schizophrenia, namely the 22q11.2 deletion syndrome (22q11.2DS). Cerebral MRIs were acquired for 46 patients and 48 age and gender matched controls (aged 6-26, respectively mean age = 15.20 ± 4.53 and 15.28 ± 4.35 years old). Using the Connectome mapper pipeline (connectomics.org) that combines structural and diffusion MRI, we created a whole brain network for each individual. Graph theory was used to quantify the global and local properties of the brain network organization for each participant. A global degree loss of 6% was found in patients' networks along with an increased Characteristic Path Length. After identifying and comparing hubs, a significant loss of degree in patients' hubs was found in 58% of the hubs. Based on Allen's brain network model for hallucinations, we explored the association between local efficiency and symptom severity. Negative correlations were found in the Broca's area (p < 0.004), the Wernicke area (p < 0.023) and a positive correlation was found in the dorsolateral prefrontal cortex (DLPFC) (p < 0.014). In line with the dysconnection findings in schizophrenia, our results provide preliminary evidence for a targeted alteration in the brain network hubs' organization in individuals with a genetic risk for schizophrenia. The study of specific disorganization in language, speech and thought regulation networks sharing similar network properties may help to understand their role in the hallucination mechanism.