14 research outputs found

    Molecular benchmarks of a SARS-CoV-2 epidemic.

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    To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadA pressing concern in the SARS-CoV-2 epidemic and other viral outbreaks, is the extent to which the containment measures are halting the viral spread. A straightforward way to assess this is to tally the active cases and the recovered ones throughout the epidemic. Here, we show how epidemic control can be assessed with molecular information during a well characterized epidemic in Iceland. We demonstrate how the viral concentration decreased in those newly diagnosed as the epidemic transitioned from exponential growth phase to containment phase. The viral concentration in the cases identified in population screening decreased faster than in those symptomatic and considered at high risk and that were targeted by the healthcare system. The viral concentration persists in recovering individuals as we found that half of the cases are still positive after two weeks. We demonstrate that accumulation of mutations in SARS-CoV-2 genome can be exploited to track the rate of new viral generations throughout the different phases of the epidemic, where the accumulation of mutations decreases as the transmission rate decreases in the containment phase. Overall, the molecular signatures of SARS-CoV-2 infections contain valuable epidemiological information that can be used to assess the effectiveness of containment measures

    Population-level deficit of homozygosity unveils CPSF3 as an intellectual disability syndrome gene.

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    To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadPredicting the pathogenicity of biallelic missense variants can be challenging. Here, we use a deficit of observed homozygous carriers of missense variants, versus an expected number in a set of 153,054 chip-genotyped Icelanders, to identify potentially pathogenic genotypes. We follow three missense variants with a complete deficit of homozygosity and find that their pathogenic effect in homozygous state ranges from severe childhood disease to early embryonic lethality. One of these variants is in CPSF3, a gene not previously linked to disease. From a set of clinically sequenced Icelanders, and by sequencing archival samples targeted through the Icelandic genealogy, we find four homozygous carriers. Additionally, we find two homozygous carriers of Mexican descent of another missense variant in CPSF3. All six homozygous carriers of missense variants in CPSF3 show severe intellectual disability, seizures, microcephaly, and abnormal muscle tone. Here, we show how the absence of certain homozygous genotypes from a large population set can elucidate causes of previously unexplained recessive diseases and early miscarriage.Sacchi Foundatio

    What makes a bully a cyberbully? Unravelling the characteristics of cyberbullies across twenty-five European countries

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    The characteristics of bullies who act face-to-face and those who do so in cyberspace were compared directly in one sample across twenty-five countries. The role of cross-country differences in technological infrastructure was also explored. Cyberbullies compared to face-to-face bullies were more likely to engage in risky online activities, spend more time online, and found it easier to be themselves online. Private access to the internet did not make a difference. Gender differences showed girls more likely to be cyber- than face-to-face bullies if they have a profile on a social networking site. Age and internet ability beliefs were also positively but not independently associated with cyberbullying. Cross-country differences were small and patterns remained mostly stable across countries, suggesting that individual and not country-level characteristics are pivotal in explaining cyberbullying

    Spontaneous regression of pleural metastases after nephrectomy for renal cell carcinoma--a histologically verified case with nine-year follow-up.

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    To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldSpontaneous regression of metastatic renal cell carcinoma is a rare but well documented event, most often involving pulmonary metastases. A case of spontaneous regression of histologically verified pleural metastases after nephrectomy is reported

    A population-based familial aggregation analysis indicates genetic contribution in a majority of renal cell carcinomas

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    To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldThe etiology of RCC is incompletely understood and the inherited genetic contribution uncertain. Although there are rare mendelian forms of RCC stemming from inherited mutations, most cases are thought to be sporadic. We sought to determine the extent of familial aggregation among Icelandic RCC patients in general. Medical and pathologic records for all patients diagnosed with RCC in Iceland between 1955 and 1999 were reviewed. This included a total of 1,078 RCC cases, 660 males and 418 females. With the use of an extensive computerized database containing genealogic information on 630,000 people in Iceland during the past 11 centuries, several analyses were conducted to determine whether the patients were more related to each other than members drawn at random from the population. Patients with RCC were significantly more related to each other than were subjects in matched groups of controls. This relatedness extended beyond the nuclear family. RRs were significantly greater than 1.0 for siblings, parents and cousins of probands. RRs were 2-3 for first-degree relatives and 1.6 for third-degree relatives. The risk of RCC is significantly higher for members of the extended family of an affected individual, as well as the nuclear family. Our results indicate that germline mutations are significantly involved in what has been defined as sporadic RCC

    A genome-wide study of allelic imbalance in human testicular germ cell tumors using microsatellite markers

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    To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldTesticular germ cell tumors (TGCT) arise by multistep carcinogenesis pathways involving selective losses and gains of chromosome material. To locate cancer genes underlying this selection, we performed a genome-wide study of allelic imbalance (AI) in 32 tumors, using 710 microsatellite markers. The highest prevalence of AI was found at 12p, in line with previous studies finding consistent gain of the region in TGCTs. High frequency of AI was also observed at chromosome arms 4p, 9q, 10p, 11q, 11p, 13q, 16q, 18p, and 22q. Within 39 candidate regions identified by mapping of smallest regions of overlap (SROs), the highest frequency of AI was at 12p11.21 approximately p11.22 (62%), 12p12.1 approximately p13.1 (53%), 12p13.1 approximately p13.2 (53%), 11q14.1 approximately q14.2 (53%), 11p13 approximately p14.3 (47%), 9q21.13 approximately q21.32 (47%), and 4p15.1 approximately p15.2 (44%). Two genes known to be involved in cancer reside in these regions, ETV6 at 12p13.2 (TEL oncogene) and WT1 at 11p13. We also found a significant association (P = 0.02) between AI at 10q21.1 approximately q22.2 and higher clinical stage. This study contributes to the ongoing search for genes involved in transformation of germ cells and provides a useful reference point to previous studies using cytogenetic techniques to map chromosome changes in TGCTs

    Common and Rare Sequence Variants Influencing Tumor Biomarkers in Blood.

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    To access publisher's full text version of this article click on the hyperlink belowBackground: Alpha-fetoprotein (AFP), cancer antigens 15.3, 19.9, and 125, carcinoembryonic antigen, and alkaline phosphatase (ALP) are widely measured in attempts to detect cancer and to monitor treatment response. However, due to lack of sensitivity and specificity, their utility is debated. The serum levels of these markers are affected by a number of nonmalignant factors, including genotype. Thus, it may be possible to improve both sensitivity and specificity by adjusting test results for genetic effects. Methods: We performed genome-wide association studies of serum levels of AFP (N = 22,686), carcinoembryonic antigen (N = 22,309), cancer antigens 15.3 (N = 7,107), 19.9 (N = 9,945), and 125 (N = 9,824), and ALP (N = 162,774). We also examined the correlations between levels of these biomarkers and the presence of cancer, using data from a nationwide cancer registry. Results: We report a total of 84 associations of 79 sequence variants with levels of the six biomarkers, explaining between 2.3% and 42.3% of the phenotypic variance. Among the 79 variants, 22 are cis (in- or near the gene encoding the biomarker), 18 have minor allele frequency less than 1%, 31 are coding variants, and 7 are associated with gene expression in whole blood. We also find multiple conditions associated with higher biomarker levels. Conclusions: Our results provide insights into the genetic contribution to diversity in concentration of tumor biomarkers in blood. Impact: Genetic correction of biomarker values could improve prediction algorithms and decision-making based on these biomarkers.United States Department of Health & Human Services National Institutes of Health (NIH) - USA NIH National Institute of Dental & Craniofacial Research (NIDCR
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