31 research outputs found

    Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History-Based Testing

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    BACKGROUND: Population-based testing for BRCA1/2 mutations detects the high proportion of carriers not identified by cancer family history (FH)-based testing. We compared the cost-effectiveness of population-based BRCA testing with the standard FH-based approach in Ashkenazi Jewish (AJ) women. METHODS: A decision-analytic model was developed to compare lifetime costs and effects amongst AJ women in the UK of BRCA founder-mutation testing amongst: 1) all women in the population age 30 years or older and 2) just those with a strong FH (≥10% mutation risk). The model assumes that BRCA carriers are offered risk-reducing salpingo-oophorectomy and annual MRI/mammography screening or risk-reducing mastectomy. Model probabilities utilize the Genetic Cancer Prediction through Population Screening trial/published literature to estimate total costs, effects in terms of quality-adjusted life-years (QALYs), cancer incidence, incremental cost-effectiveness ratio (ICER), and population impact. Costs are reported at 2010 prices. Costs/outcomes were discounted at 3.5%. We used deterministic/probabilistic sensitivity analysis (PSA) to evaluate model uncertainty. RESULTS: Compared with FH-based testing, population-screening saved 0.090 more life-years and 0.101 more QALYs resulting in 33 days' gain in life expectancy. Population screening was found to be cost saving with a baseline-discounted ICER of -£2079/QALY. Population-based screening lowered ovarian and breast cancer incidence by 0.34% and 0.62%. Assuming 71% testing uptake, this leads to 276 fewer ovarian and 508 fewer breast cancer cases. Overall, reduction in treatment costs led to a discounted cost savings of £3.7 million. Deterministic sensitivity analysis and 94% of simulations on PSA (threshold £20000) indicated that population screening is cost-effective, compared with current NHS policy. CONCLUSION: Population-based screening for BRCA mutations is highly cost-effective compared with an FH-based approach in AJ women age 30 years and older

    Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

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    Background Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. Methods We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. Results Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. Conclusions Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Peer reviewe

    Exploration of Shared Genetic Architecture Between Subcortical Brain Volumes and Anorexia Nervosa

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    Inter-ring communication allows the GroEL chaperonin complex to distinguish between different substrates

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    The productive folding of substrate proteins by the GroEL complex of Escherichia coli requires the activity of both the chaperonin rings. These heptameric rings were shown to regulate the chaperonins’ affinity for substrates and co-chaperonin via inter-ring communications; however, the molecular details of the interactions are not well understood. We have investigated the effect of substrate binding on inter-ring communications of the chaperonin complex, both the double-ring GroEL as well as the single-ring SR1 chaperonin in complex with four different substrates by using mass spectrometry. This approach shows that whereas SR1 is unable to distinguish between Rubisco, gp23, gp5, and MDH, GroEL shows clear differences upon binding these substrates. The most distinctive binding behavior is observed for Rubisco, which only occupies one GroEL ring. Both bacteriophage capsid proteins (gp23 and gp5) as well as MDH are able to bind to the two GroEL rings simultaneously. Our data suggest that inter-ring communication allows the chaperonin complex to differentiate between substrates. Using collision induced dissociation in the gas phase, differences between the chaperonin(substrate) complexes are observed only when both rings are present. The data indicate that the size of the substrate is an important factor that determines the degree of stabilization of the chaperonin complex

    The combination of 2-fucosyllactose with short-chain galacto-oligosaccharides and long-chain fructo-oligosaccharides that enhance influenza vaccine responses is associated with mucosal immune regulation in mice

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    Background: A critical role for host-microbe interactions and establishment of vaccine responses has been postulated. Human milk oligosaccharides, of which 2-fucosyllactose (2FL) is the most prevalent, are known to alter host-associated microbial communities and play a critical role in the immunologic development of breastfed infants. Objectives: Dietary supplementation with a combination of 2FL and prebiotic short-chain (sc) galacto-oligosaccharides (GOS) and long-chain (lc) fructo-oligosaccharides (FOS) was employed to examine human milk oligosaccharide effects on immune responsiveness, within a murine influenza vaccination model. Methods: Female mice (6 wk old, C57Bl/6JOlaHsd) were fed either control diet (CON) or scGOS/lcFOS/2FL-containing diet (GF2F) for 45 d. After starting dietary intervention (day 14), mice received a primary influenza vaccination (day 0) followed by a booster vaccination (day 21), after which ear challenges were conducted to measure vaccine-specific delayed type hypersensitivity (DTH). Serum immunoglobulin (Ig) levels, fecal and cecal microbial community structure, short-chain fatty acids, host intestinal gene expression and cellular responses in the mesenteric lymph nodes (MLNs) were also measured. Results: Relative to CON, mice fed the GF2F diet had increased influenza vaccine–specific DTH responses (79.3%; P < 0.01), higher levels of both IgG1 (3.2-fold; P < 0.05) and IgG2a (1.2-fold; P < 0.05) in serum, and greater percentages of activated B cells (0.3%; P < 0.05), regulatory T cells (1.64%; P < 0.05), and T-helper 1 cells (2.2%; P < 0.05) in their MLNs. GF2F-fed mice had elevated cecal butyric (P < 0.05) and propionic (P < 0.05) acid levels relative to CON, which correlated to DTH responses (R2 = 0.22; P = 0.05 and R2 = 0.39; P < 0.01, respectively). Specific fecal microbial taxa altered in GF2F diet fed mice relative to CON were significantly correlated with the DTH response and IgG2a level increases. Conclusions: Dietary GF2F improved influenza vaccine–specific T-helper 1 responses and B cell activation in MLNs and enhanced systemic IgG1 and IgG2a concentrations in mice. These immunologic changes are correlated with microbial community structure and metabolites
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