56 research outputs found

    Growing Cricket in Tasmania: A Cross-Cultural Comparison

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    Sports are an integral part of life in societies throughout the world. Cricket is one of Australia’s two major sports and is a significant aspect of its culture, in a fashion similar to baseball being America’s “national pastime.” Despite its isolation, Tasmania, the small island state of Australia, shares the same mania for cricket as mainland Australia. While in Tasmania for ten weeks interning with the Tasmanian Cricket Association (TCA), I studied the role of cricket in the day-to-day lives of Tasmanians, from the pervasive television, newspaper, and the radio coverage, to pick-up cricket games as a popular leisure time activity. I also looked at the structure of Tasmania\u27s cricket development program. The TCA has many programs set up to attract both the devoted cricketer, and the non-traditional, casual player -- beach cricket, disabled cricket, and street cricket, among others. This paper will also briefly compare how Australian cricket and American baseball differ from one another and how they are similar to one another

    The role of the aryl hydrocarbon receptor in the development of cells with molecular and functional characteristics of breast cancer stem cells

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    Self-renewing, chemoresistant cancer cells that contribute to cancer metastasis and patient relapse have properties similar to those of stem cells, and have been termed "cancer stem cells" (CSCs) in the literature. The identification of signaling pathways that regulate CSC development and/or function is an important step towards understanding why patients relapse, and towards development of novel therapeutics that specifically target CSC vulnerabilities. Recent studies have identified a role for the aryl hydrocarbon receptor (AHR), an environmental carcinogen receptor implicated in cancer initiation, in normal tissue-specific stem cell self-renewal. These studies inspired the hypothesis that the AHR plays a role in CSC development. To test this hypothesis, AHR activity in Hs578T triple negative and SUM149 inflammatory breast cancer cells was modulated with AHR ligands, shRNA, or AHR-specific inhibitors and their phenotypic, genomic, and functional CSC characteristics were evaluated. Aldehyde dehydrogenase (ALDH) was used as an epithelial stem cell marker for flow cytometry. Results demonstrate that: 1) ALDHhigh cells express elevated levels of Ahr and the AHR-driven gene that encodes cytochrome p450 isoform 1b1 (Cyp1b1), 2) AHR knockdown reduces ALDH activity, 3) AHR hyper-activation significantly increases ALDH1 activity, expression of stem cell- and invasion/migration-associated genes, and accelerates cell migration, 4) a highly significant correlation between Ahr or Cyp1b1 expression (as a surrogate marker for AHR activity) and expression of the CSC- and invasion/migration-associated gene sets was seen with genomic data obtained from 79 human breast cancer cell lines and over 1850 primary human breast cancers, 5) the AHR interacts directly with the transcription factors Sox2 and Runx1, and AHR ligands increase this interaction, 6) AHR knockdown inhibits tumorsphere formation in low adherence conditions, 7) AHR inhibition blocks the rapid migration of ALDHhigh cells and reduces ALDHhigh cell chemoresistance, and 8) AHR knockdown inhibits tumor growth and reduces tumor Aldh1a1, Sox2, and Cyp1b1 expression in orthotopic xenografts. These data suggest that the AHR plays an important role in development of CSCs in a large fraction of human breast cancers and that environmental AHR ligands may exacerbate breast cancer by enhancing expression of CSC-like properties

    A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci

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    Genome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma (MM)

    Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

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    Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction

    Shared heritability and functional enrichment across six solid cancers

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    Correction: Nature Communications 10 (2019): art. 4386 DOI: 10.1038/s41467-019-12095-8Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (r(g) = 0.57, p = 4.6 x 10(-8)), breast and ovarian cancer (r(g) = 0.24, p = 7 x 10(-5)), breast and lung cancer (r(g) = 0.18, p = 1.5 x 10(-6)) and breast and colorectal cancer (r(g) = 0.15, p = 1.1 x 10(-4)). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.Peer reviewe

    Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

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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 regio

    Genomic analysis of male puberty timing highlights shared genetic basis with hair colour and lifespan

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    Abstract: The timing of puberty is highly variable and is associated with long-term health outcomes. To date, understanding of the genetic control of puberty timing is based largely on studies in women. Here, we report a multi-trait genome-wide association study for male puberty timing with an effective sample size of 205,354 men. We find moderately strong genomic correlation in puberty timing between sexes (rg = 0.68) and identify 76 independent signals for male puberty timing. Implicated mechanisms include an unexpected link between puberty timing and natural hair colour, possibly reflecting common effects of pituitary hormones on puberty and pigmentation. Earlier male puberty timing is genetically correlated with several adverse health outcomes and Mendelian randomization analyses show a genetic association between male puberty timing and shorter lifespan. These findings highlight the relationships between puberty timing and health outcomes, and demonstrate the value of genetic studies of puberty timing in both sexes

    Shared heritability and functional enrichment across six solid cancers

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    Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (r(g) = 0.57, p = 4.6 x 10(-8)), breast and ovarian cancer (r(g) = 0.24, p = 7 x 10(-5)), breast and lung cancer (r(g) = 0.18, p = 1.5 x 10(-6)) and breast and colorectal cancer (r(g) = 0.15, p = 1.1 x 10(-4)). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis
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