19 research outputs found

    Medical Student\u27s Knowledge and Attitudes Toward Female Sex Workers and Their Occupational Risk Factors

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    Background: The tendency for female sex workers to seek health care is highly influenced by physician attitudes and behavior. By identifying medical students\u27 attitudes toward female sex workers and assessing their knowledge of barriers to seeking care, we can focus medical training and advocacy efforts to increase access to care and improve public health outcomes. Methods: In this cross-sectional study, medical students from various countries were invited to participate in an online survey with close-ended questions and Likert scale statements. Responses were quantified and knowledge and attitude scores were assigned based on knowledge of barriers to seeking care and agreement with positive and negative attitude statements. Results: A total of 292 medical students from 56 countries completed the survey, of whom 98.3% agreed that it will be their job to provide treatment to patients regardless of occupation. Self-identified religious students conveyed more negative attitudes toward female sex workers compared to those who did not identify themselves as religious (p\u3c0.001). Students intending to practice in countries where prostitution is legal conveyed more positive attitudes compared to those intending to practice in countries where prostitution is illegal (p\u3c0.001). Conclusion: Medical students largely agreed on the importance of providing care to female sex workers as a vulnerable group. In addition to addressing knowledge gaps in medical education, more localized studies are needed to understand the religious and legal influences on attitudes toward female sex workers. Such information can help focus the efforts in both medical education and communication training to achieve the desired behavioral impacts, reconciling the future generations of health care providers with the needs of female sex workers

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

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    Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

    Medical Students’ Knowledge and Attitudes Toward Female Sex Workers and Their Occupational Risk Factors

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    Background: The tendency for female sex workers to seek health care is highly influenced by physician attitudes and behavior. By identifying medical students' attitudes toward female sex workers and assessing their knowledge of barriers to seeking care, we can focus medical training and advocacy efforts to increase access to care and improve public health outcomes. Methods: In this cross-sectional study, medical students from various countries were invited to participate in an online survey with close-ended questions and Likert scale statements. Responses were quantified and knowledge and attitude scores were assigned based on knowledge of barriers to seeking care and agreement with positive and negative attitude statements. Results: A total of 292 medical students from 56 countries completed the survey, of whom 98.3% agreed that it will be their job to provide treatment to patients regardless of occupation. Self-identified religious students conveyed more negative attitudes toward female sex workers compared to those who did not identify themselves as religious (p<0.001). Students intending to practice in countries where prostitution is legal conveyed more positive attitudes compared to those intending to practice in countries where prostitution is illegal (p<0.001). Conclusion: Medical students largely agreed on the importance of providing care to female sex workers as a vulnerable group. In addition to addressing knowledge gaps in medical education, more localized studies are needed to understand the religious and legal influences on attitudes toward female sex workers. Such information can help focus the efforts in both medical education and communication training to achieve the desired behavioral impacts, reconciling the future generations of health care providers with the needs of female sex workers

    Gestational Gigantomastia Complicating Pregnancy: A Case Report and Review of the Literature

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    Background. Gestational gigantomastia is a rare disorder without clear etiology or well-established risk factors. Several pathogenic mechanisms contributing to the disease process have been proposed, all of which can lead to a similar phenotype of breast hypertrophy. Case. A 28-year-old Guinean woman presented at 37 weeks of gestation with bilateral gigantomastia, mastalgia, peau d’orange, and back pain. Prolactin levels were 103.3 μg/L (with a normal reference value for prolactin in pregnancy being 36–372 μg/L). The patient was treated with bromocriptine (2.5 mg twice daily), scheduled for a repeat cesarean, and referred to surgery for bilateral mammoplasty. Conclusion. Gestational gigantomastia is a rare disorder, characterized by enlargement and hypertrophy of breast tissue. Our patient presented with no endocrine or hematological abnormalities, adding to a review of the literature for differential diagnoses, workup, and management of cases of gestational gigantomastia with normal hormone levels

    Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

    Get PDF
    The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts.The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that -80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAFPeer reviewe
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