970 resultados para 110311 Medical Genetics (excl. Cancer Genetics)


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Cancer is fundamentally a genomic disease caused by mutations or rearrangements in the DNA or epigenetic machinery of a patient. An emerging field in cancer treatment targets key aberrations arising from the mutational landscape of an individual patient’s disease rather than employing a cancer-wide cytotoxic therapy approach. In prostate cancer in particular, where there is an observed variation in response to standard treatments between patients with disease of a similar pathological stage and grade, mutationdirected treatment may grow to be a viable tool for clinicians to tailor more effective treatments. This review will describe a number of mutations across multiple forms of cancer that have been successfully antagonised by targeted therapeutics including their identification, the development of targeted compounds to combat them and the development of resistance to these therapies. This review will continue to examine these same mutations in the treatment and management of prostate cancer; the prevalence of targetable mutations in prostate cancer, recent clinical trials of targeted-agents and the potential or limitations for their use.

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Androgen withdrawal is the only effective form of systemic therapy for men with advanced disease, producing symptomatic and/or objective response in 80% of patients. Unfortunately, androgen independent (AI) progression and death occurs within a few years in the majority of these cases (6). Prostate cancer is highly chemoresistant, with objective response rates of 10% and no demonstrated survival benefit (28). Hormone refractory prostate cancer (HRPC) is therefore the main obstacle to improving the survival and quality of life in patients with advanced disease, and novel therapeutic strategies that target the molecular basis of androgen and chemoresistance are required.

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Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same region.

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Introduction: Osteoporosis is the commonest metabolic bone disease worldwide. The clinical hallmark of osteoporosis is low trauma fracture, with the most devastating being hip fracture, resulting in significant effects on both morbidity and mortality. Sources of data: Data for this review have been gathered from the published literature and from a range of web resources. Areas of agreement: Genome-wide association studies in the field of osteoporosis have led to the identification of a number of loci associated with both bone mineral density and fracture risk and further increased our understanding of disease. Areas of controversy: The early strategies for mapping osteoporosis disease genes reported only isolated associations, with replication in independent cohorts proving difficult. Neither candidate gene or linkage studies showed association at genome-wide level of significance. Growing points: The advent of massive parallel sequencing technologies has proved extremely successful in mapping monogenic diseases and thus leading to the utilization of this new technology in complex disease genetics. Areas timely for developing research: The identification of novel genes and pathways will potentially lead to the identification of novel therapeutic options for patients with osteoporosis. © 2014 The Author.

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RAPADILINO syndrome is an autosomally resessively inherited condition that belongs to a group of rare syndromes more common in Finland than in other parts of the world. RAPADILINO is characterized by pre- and postnatal growth retardation, radial ray defects, diarrhoea of unknown aetiology during chilhood, a facial resemblance with other patients and normal intelligence. In Finland, 15 patients with this condition have been found which compares with only five patients in other parts of the world. We found RECQL4 gene mutations in RAPADILINO patients and proved this syndrome to be allelic with a subgroup of Rothmund-Thomson syndrome (RTS). Later we found RECQL4 mutations in patients with Baller-Gerold syndrome (BGS). These three syndromes share clinical findings and differential diagnostics rely on poikiloderma and craniosynostosis not seen in RAPADILINO syndrome. We found five different mutations in the Finnish RAPADILINO patients. The g.2545delT mutation is the founder mutation in the Finnish population as all the patients are either homozygotes or compound heterozygotes for it. This mutation leads to the inframe skipping of exon seven from mRNA. The protein encoded by this mutant mRNA lacks the nuclear retention signal and thus leads to the mislocalization of the mutant protein. The genotype-phenotype correlation is not straightforward but it seems that RAPADILINO could be due to alteration in protein function and truncating mutations in both alleles are more common among RTS patients. RTS patients with RECQL4 mutations have an elevated risk for osteosarcoma, but their risk to develop other types of malignancies is not increased.Two Finnish RAPADILINO patients have been diagnosed with osteosarcoma, but in addition to this we have found an excess of lymphoma cases among the Finnish RAPADILINO patients. This difference between cancer types could be due to different mutations found in these syndromes. The mutation screening of the patients will help to differentiate patients who have RECQL4 mutations and thus the elevated cancer risk. Patients will benefit from the follow up since early detection of malignancies is important for the treatment.

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Rrp1B (ribosomal RNA processing1 homolog B) is a novel candidate metastasis modifier gene in breast cancer. Functional gene assays demonstrated that a physical and functional interaction existing between Rrp1b and metastasis modifier gene SIPA1 causes reduction in the tumor growth and metastatic potential. Ectopic expression of Rrp1B modulates various metastasis predictive extra cellular matrix (ECM) genes associated with tumor suppression. The aim of this study is to determine the functional significance of single nucleotide polymorphism (SNP) in human Rrp1B gene (1307 T > C; rs9306160) with breast cancer development and progression. The study consists of 493 breast cancer cases recruited from Nizam's Institute of Medical Sciences, Hyderabad, and 558 age-matched healthy female controls from rural and urban areas. Genomic DNA was isolated by non-enzymatic method. Genotyping was done by amplification refractory mutation system (ARMS-PCR) method. Genotypes were reconfirmed by sequencing and results were analyzed statistically. We have performed Insilco analysis to know the RNA secondary structure by using online tool m fold. The TT genotype and T allele frequencies of Rrp1B1307 T > C polymorphism were significantly elevated in breast cancer (chi (2); p = < 0.008) cases compared to controls under different genetic models. The presence of T allele had conferred 1.75-fold risk for breast cancer development (OR = 1.75; 95 % CI = 1.15-2.67). The frequency of TT genotype of Rrp1b 1307T > C polymorphism was significantly elevated in obese patients (chi (2); p = 0.008) and patients with advanced disease (chi (2); p = 0.01) and with increased tumor size (chi (2); p = 0.01). Moreover, elevated frequency of T allele was also associated with positive lymph node status (chi (2); p = 0.04) and Her2 negative receptor status (chi (2); p = 0.006). Presence of Rrp1b1307TT genotype and T allele confer strong risk for breast cancer development and progression.

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Early interventions are a preferred method for addressing behavioral problems in high-risk children, but often have only modest effects. Identifying sources of variation in intervention effects can suggest means to improve efficiency. One potential source of such variation is the genome. We conducted a genetic analysis of the Fast Track randomized control trial, a 10-year-long intervention to prevent high-risk kindergarteners from developing adult externalizing problems including substance abuse and antisocial behavior. We tested whether variants of the glucocorticoid receptor gene NR3C1 were associated with differences in response to the Fast Track intervention. We found that in European-American children, a variant of NR3C1 identified by the single-nucleotide polymorphism rs10482672 was associated with increased risk for externalizing psychopathology in control group children and decreased risk for externalizing psychopathology in intervention group children. Variation in NR3C1 measured in this study was not associated with differential intervention response in African-American children. We discuss implications for efforts to prevent externalizing problems in high-risk children and for public policy in the genomic era.

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Background— Cardiovascular risk estimation by novel biomarkers needs assessment in disease-free population cohorts, followed up for incident cardiovascular events, assaying the serum and plasma archived at baseline. We report results from 2 cohorts in such a continuing study.
Methods and Results— Thirty novel biomarkers from different pathophysiological pathways were evaluated in 7915 men and women of the FINRISK97 population cohort with 538 incident cardiovascular events at 10 years (fatal or nonfatal coronary or stroke events), from which a biomarker score was developed and then validated in the 2551 men of the Belfast Prospective Epidemiological Study of Myocardial Infarction (PRIME) cohort (260 events). No single biomarker consistently improved risk estimation in FINRISK97 men and FINRISK97 women and the Belfast PRIME Men cohort after allowing for confounding factors; however, the strongest associations (with hazard ratio per SD in FINRISK97 men) were found for N-terminal pro-brain natriuretic peptide (1.23), C-reactive protein (1.23), B-type natriuretic peptide (1.19), and sensitive troponin I (1.18). A biomarker score was developed from the FINRISK97 cohort with the use of regression coefficients and lasso methods, with selection of troponin I, C-reactive protein, and N-terminal pro-brain natriuretic peptide. Adding this score to a conventional risk factor model in the Belfast PRIME Men cohort validated it by improved c-statistics (P=0.004) and integrated discrimination (P<0.0001) and led to significant reclassification of individuals into risk categories (P=0.0008).
Conclusions— The addition of a biomarker score including N-terminal pro-brain natriuretic peptide, C-reactive protein, and sensitive troponin I to a conventional risk model improved 10-year risk estimation for cardiovascular events in 2 middle-aged European populations. Further validation is needed in other populations and age groups.

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Background
Shared decision making has become an integral part of medical consultation. Research has, however, reported wide differences in individuals' desires to be involved in the decision-making process, and these differences in preferences are likely to be the result of a number of factors including age, education and numeracy.

Objective
To investigate whether patients at genetic risk for cancer had preferences for shared decision making that differed depending on medical domain (general health vs. cancer) and whether decision preferences are linked to numeracy abilities.

Methods
Four hundred and seventy-six women who consented to participate in response to an email sent by a local branch of the U.S.-based Cancer Genetics Network (CGN) to its members. Participants completed the Control Preference Scale, as well as an objective and subjective numeracy scales.

Results
Decision domain (cancer vs. general health) was not associated with women's preferences for involvement in decision making. Objective and subjective numeracy predicted a preference for decision involvement in general, and only objective numeracy was predictive with regard to cancer.

Conclusion
Participants were equally likely to state they wanted to play an active, collaborative or passive role in both medical domains (general and cancer). High-numeracy participants were more likely to express a desire for an active role in general and in case they were diagnosed with cancer.

Practice implications
Health authorities' recommendations to clinicians to include patients in their medical decisions are supported by patients' desires, and clinicians should be cognizant of their patients' preferences as well as their numeracy skills.

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One third of the population is affected by a sleep disorder with a major social, medical, and economic impact. Although very little is known about the genetics of normal sleep, familial and twin studies indicate an important influence of genetic factors. Most sleep disorders run in families and in several of them the contribution of genetic factors is increasingly recognised. With recent advances in the genetics of narcolepsy and the role of the hypocretin/orexin system, the possibility that other gene defects may contribute to the pathophysiology of major sleep disorders is worth indepth investigation.

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La possibilité d'utiliser l'information génétique dans le domaine de l'assurance vie a soulevé des discussions autour des politiques et des législations, et ce, au niveau international, régional et national. Dans certains pays offrant des services de santé universels, le débat sur la génétique et l'assurance vie a envisagé de possibles restrictions quant à l'utilisation de l’information génétique en matière d’assurance.

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Par contraste avec de nombreux pays européens qui ont clarifié leur position vis-à-vis la génétique et l’assurance vie, le Canada en est encore à établir la sienne. Toute initiative en ce domaine doit être basée sur une compréhension des mécanismes de l’assurance vie, de la nature de l’information génétique, de l’historique du débat au sujet de la génétique et de l’assurance vie au Canada et, finalement, des raisons pour lesquelles un groupe de travail canadien a décidé de relever le défi.