14 research outputs found

    How Equine Assisted Therapy Can Improve the Quality of Life for Individuals Diagnosed with Autism, Ages 2-18

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    Abstract As stated by the Autism Speaks incorporation, autism is the fastest-growing serious developmental disability in the United States. Current research confirms that autism now affects one in every 88 children and one in every 54 boys. According to the Center for Disease Control (CDC), the reasons for the increase in prevalence of autism spectrum disorders are not completely understood. Some of the increase is due to the way that children are identified, a diagnosis according to characteristics on a wide spectrum, although exactly how much is due to this factor is unknown. It is likely that reported increases are explained partly by greater awareness by doctors, teachers, and parents. As more children are being identified as having autism, these children and their families need help more than ever. There is no medical detection or cure for autism, so how can life be improved for children who are diagnosed with an incurable disease such as autism? One method that professionals and families have tried is Equine Assisted Therapy. Equine Assisted Therapy (EAT) is a program that uses horses and equine assisted activities in order to achieve goals that target the individual physical, mental, and emotional needs of a child with autism. Not only does the program focus on the skills acquired in learning to ride a horse and take care of a horse, it also focuses on the development of a relationship between a horse and rider that can improve the quality of life for a child diagnosed with autism. This program uses a team approach to be successful by surrounding the child with people such as an occupational therapist, the rider’s parents, and a certified equine instructor. There are several studies included in this paper about the benefits EAT provides to a child diagnosed with autism and how EAT can improve the quality of life of the child. Other methods such as music, dance, and art therapies are currently being researched but have yet to provide conclusive evidence of success. The data presented here is valuable for families and therapists who are interested in a program that can potentially improve the areas of life and struggles that a child diagnosed with autism encounters

    A draft human pangenome reference

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    Here the Human Pangenome Reference Consortium presents a first draft of the human pangenome reference. The pangenome contains 47 phased, diploid assemblies from a cohort of genetically diverse individuals1. These assemblies cover more than 99% of the expected sequence in each genome and are more than 99% accurate at the structural and base pair levels. Based on alignments of the assemblies, we generate a draft pangenome that captures known variants and haplotypes and reveals new alleles at structurally complex loci. We also add 119 million base pairs of euchromatic polymorphic sequences and 1,115 gene duplications relative to the existing reference GRCh38. Roughly 90 million of the additional base pairs are derived from structural variation. Using our draft pangenome to analyse short-read data reduced small variant discovery errors by 34% and increased the number of structural variants detected per haplotype by 104% compared with GRCh38-based workflows, which enabled the typing of the vast majority of structural variant alleles per sample

    A draft human pangenome reference

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    Here the Human Pangenome Reference Consortium presents a first draft of the human pangenome reference. The pangenome contains 47 phased, diploid assemblies from a cohort of genetically diverse individuals 1. These assemblies cover more than 99% of the expected sequence in each genome and are more than 99% accurate at the structural and base pair levels. Based on alignments of the assemblies, we generate a draft pangenome that captures known variants and haplotypes and reveals new alleles at structurally complex loci. We also add 119 million base pairs of euchromatic polymorphic sequences and 1,115 gene duplications relative to the existing reference GRCh38. Roughly 90 million of the additional base pairs are derived from structural variation. Using our draft pangenome to analyse short-read data reduced small variant discovery errors by 34% and increased the number of structural variants detected per haplotype by 104% compared with GRCh38-based workflows, which enabled the typing of the vast majority of structural variant alleles per sample.</p
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