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Assessment of a glossary on patient satisfaction and anxiety levels in an oncology genetic counseling clinic

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Patients who attend genetic counseling appointments report high anxiety and varied satisfaction levels following their appointments. It has been suggested in previous literature that some of the increase in anxiety and reduction in satisfaction is caused by lack of prior

Patients who attend genetic counseling appointments report high anxiety and varied satisfaction levels following their appointments. It has been suggested in previous literature that some of the increase in anxiety and reduction in satisfaction is caused by lack of prior information. Here, I investigated whether providing patients with a glossary of genetic terms prior to their counseling appointment improves patient satisfaction and reduces anxiety in an oncology genetic counseling appointment. I surveyed 96 patients attending their first genetic counseling appointment at Banner MD Anderson Cancer Center and analyzed 92 patients for which I had complete data. Patients were randomly selected to receive one of two folders, containing either an educational document or an educational document and a glossary comprised of ten genetic terms. Each patient was given a post-counseling survey at the end of the counseling appointment to assess their anxiety and satisfaction levels. I did not observe a statistically significant difference in levels of anxiety or satisfaction, but the data are consistent with increased satisfaction for patients who received a glossary. Interesting, the data are also consistent with decreased anxiety levels for patients who did not receive a glossary. Furthermore, I did observe differences in reported satisfaction with patients who had college experience and patients that did not have any college experience.

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2018

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Comparative genomics and novel bioinformatics methodology applied to the green anole reveal unique sex chromosome evolution

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In species with highly heteromorphic sex chromosomes, the degradation of one of the sex chromosomes can result in unequal gene expression between the sexes (e.g., between XX females and XY males) and between the sex chromosomes and the autosomes. Dosage

In species with highly heteromorphic sex chromosomes, the degradation of one of the sex chromosomes can result in unequal gene expression between the sexes (e.g., between XX females and XY males) and between the sex chromosomes and the autosomes. Dosage compensation is a process whereby genes on the sex chromosomes achieve equal gene expression which prevents deleterious side effects from having too much or too little expression of genes on sex chromsomes. The green anole is part of a group of species that recently underwent an adaptive radiation. The green anole has XX/XY sex determination, but the content of the X chromosome and its evolution have not been described. Given its status as a model species, better understanding the green anole genome could reveal insights into other species. Genomic analyses are crucial for a comprehensive picture of sex chromosome differentiation and dosage compensation, in addition to understanding speciation.

In order to address this, multiple comparative genomics and bioinformatics analyses were conducted to elucidate patterns of evolution in the green anole and across multiple anole species. Comparative genomics analyses were used to infer additional X-linked loci in the green anole, RNAseq data from male and female samples were anayzed to quantify patterns of sex-biased gene expression across the genome, and the extent of dosage compensation on the anole X chromosome was characterized, providing evidence that the sex chromosomes in the green anole are dosage compensated.

In addition, X-linked genes have a lower ratio of nonsynonymous to synonymous substitution rates than the autosomes when compared to other Anolis species, and pairwise rates of evolution in genes across the anole genome were analyzed. To conduct this analysis a new pipeline was created for filtering alignments and performing batch calculations for whole genome coding sequences. This pipeline has been made publicly available.

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2016